/*M///////////////////////////////////////////////////////////////////////////////////////
//
//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
//  By downloading, copying, installing or using the software you agree to this license.
//  If you do not agree to this license, do not download, install,
//  copy or use the software.
//
//
//                           License Agreement
//                For Open Source Computer Vision Library
//
// Copyright (C) 2010-2012, Institute Of Software Chinese Academy Of Science, all rights reserved.
// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// @Authors
//    Niko Li, newlife20080214@gmail.com
//    Jia Haipeng, jiahaipeng95@gmail.com
//    Shengen Yan, yanshengen@gmail.com
//    Jiang Liyuan, lyuan001.good@163.com
//    Rock Li, Rock.Li@amd.com
//    Zailong Wu, bullet@yeah.net
//    Xu Pang, pangxu010@163.com
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
//   * Redistribution's of source code must retain the above copyright notice,
//     this list of conditions and the following disclaimer.
//
//   * Redistribution's in binary form must reproduce the above copyright notice,
//     this list of conditions and the following disclaimer in the documentation
//     and/or other oclMaterials provided with the distribution.
//
//   * The name of the copyright holders may not be used to endorse or promote products
//     derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
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// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
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//M*/

#include "precomp.hpp"

#ifdef HAVE_OPENCL

using namespace cvtest;
using namespace testing;
using namespace std;


MatType nulltype = -1;

#define ONE_TYPE(type)  testing::ValuesIn(typeVector(type))
#define NULL_TYPE  testing::ValuesIn(typeVector(nulltype))


vector<MatType> typeVector(MatType type)
{
	vector<MatType> v;
	v.push_back(type);
	return v;
}


PARAM_TEST_CASE(ImgprocTestBase, MatType,MatType,MatType,MatType,MatType, bool)
{
	int type1,type2,type3,type4,type5;
	cv::Scalar val;
	// set up roi
	int roicols;
	int roirows;
	int src1x;
	int src1y;
	int src2x;
	int src2y;
	int dstx;
	int dsty;
	int dst1x;
	int dst1y;
	int maskx;
	int masky;

	//mat
	cv::Mat mat1; 
	cv::Mat mat2;
	cv::Mat mask;
	cv::Mat dst;
	cv::Mat dst1; //bak, for two outputs

	//mat with roi
	cv::Mat mat1_roi;
	cv::Mat mat2_roi;
	cv::Mat mask_roi;
	cv::Mat dst_roi;
	cv::Mat dst1_roi; //bak
	std::vector<cv::ocl::Info> oclinfo;
	//ocl mat
	cv::ocl::oclMat clmat1;
	cv::ocl::oclMat clmat2;
	cv::ocl::oclMat clmask;
	cv::ocl::oclMat cldst;
	cv::ocl::oclMat cldst1; //bak

	//ocl mat with roi
	cv::ocl::oclMat clmat1_roi;
	cv::ocl::oclMat clmat2_roi;
	cv::ocl::oclMat clmask_roi;
	cv::ocl::oclMat cldst_roi;
	cv::ocl::oclMat cldst1_roi;

	virtual void SetUp()
	{
		type1 = GET_PARAM(0);
		type2 = GET_PARAM(1);
		type3 = GET_PARAM(2);
		type4 = GET_PARAM(3);
		type5 = GET_PARAM(4);
		cv::RNG& rng = TS::ptr()->get_rng();
		cv::Size size(MWIDTH, MHEIGHT);
		double min = 1,max = 20; 
		int devnums = getDevice(oclinfo);
		CV_Assert(devnums>0);
		//if you want to use undefault device, set it here
		//setDevice(oclinfo[0]);
		cv::ocl::setBinpath(CLBINPATH);
		if(type1!=nulltype)
		{
			mat1 = randomMat(rng, size, type1, min, max, false);
			clmat1 = mat1;
		}
		if(type2!=nulltype)
		{
			mat2 = randomMat(rng, size, type2, min, max, false);
			clmat2 = mat2;
		}
		if(type3!=nulltype)
		{
			dst  = randomMat(rng, size, type3, min, max, false);
			cldst = dst;
		}
		if(type4!=nulltype)
		{
			dst1 = randomMat(rng, size, type4, min, max, false);
			cldst1 = dst1;
		}
		if(type5!=nulltype)
		{
			mask = randomMat(rng, size, CV_8UC1, 0, 2,  false);
			cv::threshold(mask, mask, 0.5, 255., type5);
			clmask = mask;
		}
		val = cv::Scalar(rng.uniform(-10.0, 10.0), rng.uniform(-10.0, 10.0), rng.uniform(-10.0, 10.0), rng.uniform(-10.0, 10.0));
	}


	void Has_roi(int b)
	{
		//cv::RNG& rng = TS::ptr()->get_rng();
		if(b)
		{
			//randomize ROI
			roicols =  mat1.cols-1; //start
			roirows = mat1.rows-1;
			src1x   = 1;
			src2x   = 1;
			src1y   = 1;
			src2y   = 1;
			dstx    = 1;
			dsty    =1;
			dst1x    = 1;
			dst1y    =1;
			maskx	 =1;
			masky	=1;
		}else
		{
			roicols = mat1.cols;
			roirows = mat1.rows;
			src1x = 0;
			src2x = 0;
			src1y = 0;
			src2y = 0;
			dstx = 0;
			dsty = 0;
			dst1x  =0;
			dst1y  =0;
			maskx	 =0;
			masky	=0;
		};

		if(type1!=nulltype)
		{
			mat1_roi = mat1(Rect(src1x,src1y,roicols,roirows));
			//clmat1_roi = clmat1(Rect(src1x,src1y,roicols,roirows));
		}
		if(type2!=nulltype)
		{
			mat2_roi = mat2(Rect(src2x,src2y,roicols,roirows));
			//clmat2_roi = clmat2(Rect(src2x,src2y,roicols,roirows));
		}
		if(type3!=nulltype)
		{
			dst_roi  = dst(Rect(dstx,dsty,roicols,roirows));
			//cldst_roi = cldst(Rect(dstx,dsty,roicols,roirows));
		}
		if(type4!=nulltype)
		{
			dst1_roi = dst1(Rect(dst1x,dst1y,roicols,roirows));
			//cldst1_roi = cldst1(Rect(dst1x,dst1y,roicols,roirows));
		}
		if(type5!=nulltype)
		{
			mask_roi = mask(Rect(maskx,masky,roicols,roirows));
			//clmask_roi = clmask(Rect(maskx,masky,roicols,roirows));
		}
	}

	void random_roi()
	{
		cv::RNG& rng = TS::ptr()->get_rng();

		//randomize ROI
		roicols = rng.uniform(1, mat1.cols);
		roirows = rng.uniform(1, mat1.rows);
		src1x   = rng.uniform(0, mat1.cols - roicols);
		src1y   = rng.uniform(0, mat1.rows - roirows);
		src2x   = rng.uniform(0, mat2.cols - roicols);
		src2y   = rng.uniform(0, mat2.rows - roirows);
		dstx    = rng.uniform(0, dst.cols  - roicols);
		dsty    = rng.uniform(0, dst.rows  - roirows);
		dst1x    = rng.uniform(0, dst1.cols  - roicols);
		dst1y    = rng.uniform(0, dst1.rows  - roirows);
		maskx   = rng.uniform(0, mask.cols - roicols);
		masky   = rng.uniform(0, mask.rows - roirows);

		if(type1!=nulltype)
		{
			mat1_roi = mat1(Rect(src1x,src1y,roicols,roirows));
			//clmat1_roi = clmat1(Rect(src1x,src1y,roicols,roirows));
		}
		if(type2!=nulltype)
		{
			mat2_roi = mat2(Rect(src2x,src2y,roicols,roirows));
			//clmat2_roi = clmat2(Rect(src2x,src2y,roicols,roirows));
		}
		if(type3!=nulltype)
		{
			dst_roi  = dst(Rect(dstx,dsty,roicols,roirows));
			//cldst_roi = cldst(Rect(dstx,dsty,roicols,roirows));
		}
		if(type4!=nulltype)
		{
			dst1_roi = dst1(Rect(dst1x,dst1y,roicols,roirows));
			//cldst1_roi = cldst1(Rect(dst1x,dst1y,roicols,roirows));
		}
		if(type5!=nulltype)
		{
			mask_roi = mask(Rect(maskx,masky,roicols,roirows));
			//clmask_roi = clmask(Rect(maskx,masky,roicols,roirows));
		}
	}
};
////////////////////////////////equalizeHist//////////////////////////////////////////

struct equalizeHist : ImgprocTestBase {};

TEST_P(equalizeHist, MatType) 
{ 
	if (mat1.type() != CV_8UC1 || mat1.type() != dst.type())
	{
		cout<<"Unsupported type"<<endl;
		EXPECT_DOUBLE_EQ(0.0, 0.0);
	}
	else
	{
#ifndef PRINT_KERNEL_RUN_TIME   
		double totalcputick=0;
		double totalgputick=0;
		double totalgputick_kernel=0;
		double t0=0;
		double t1=0;
		double t2=0;	
		for(int k=0;k<2;k++){
			totalcputick=0;
			totalgputick=0;
			totalgputick_kernel=0;
			for(int j = 0; j < LOOP_TIMES+1; j ++)
			{
				Has_roi(k);       

				t0 = (double)cvGetTickCount();//cpu start
				cv::equalizeHist(mat1_roi, dst_roi);
				t0 = (double)cvGetTickCount() - t0;//cpu end

				t1 = (double)cvGetTickCount();//gpu start1		
				if(type1!=nulltype)
				{
					clmat1_roi = clmat1(Rect(src1x,src1y,roicols,roirows));
				}
				cldst_roi = cldst(Rect(dstx,dsty,roicols,roirows));
				t2=(double)cvGetTickCount();//kernel
				cv::ocl::equalizeHist(clmat1_roi, cldst_roi);
				t2 = (double)cvGetTickCount() - t2;//kernel
				cv::Mat cpu_cldst;
				//cldst.download(cpu_cldst);//download
				t1 = (double)cvGetTickCount() - t1;//gpu end1		

				if(j == 0)
					continue;

				totalgputick=t1+totalgputick;
				totalcputick=t0+totalcputick;	
				totalgputick_kernel=t2+totalgputick_kernel;	

			}
			if(k==0){cout<<"no roi\n";}else{cout<<"with roi\n";};
			cout << "average cpu runtime is  " << totalcputick/((double)cvGetTickFrequency()* LOOP_TIMES *1000.) << "ms" << endl;
			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;
		}
#else
		for(int j = 0; j < 2; j ++)
		{
			Has_roi(j);
			if(type1!=nulltype)
			{
				clmat1_roi = clmat1(Rect(src1x,src1y,roicols,roirows));
			}
			if(j==0){cout<<"no roi:";}else{cout<<"\nwith roi:";};
			cv::ocl::equalizeHist(clmat1_roi, cldst_roi);
		};
#endif
	}
}


////////////////////////////////bilateralFilter////////////////////////////////////////////

struct bilateralFilter : ImgprocTestBase {};

TEST_P(bilateralFilter, Mat) 
{    
	double sigmacolor = 50.0;
	int radius = 9;
	int d = 2*radius+1;
	double sigmaspace = 20.0;
	int bordertype[] = {cv::BORDER_CONSTANT,cv::BORDER_REPLICATE/*,BORDER_REFLECT,BORDER_WRAP,BORDER_REFLECT_101*/};
	//const char* borderstr[]={"BORDER_CONSTANT", "BORDER_REPLICATE"/*, "BORDER_REFLECT","BORDER_WRAP","BORDER_REFLECT_101"*/};
	if (mat1.type() != CV_8UC1 || mat1.type() != dst.type())
	{
		cout<<"Unsupported type"<<endl;
		EXPECT_DOUBLE_EQ(0.0, 0.0);
	}
	else
	{
		for(int i=0;i<sizeof(bordertype)/sizeof(int);i++){
#ifndef PRINT_KERNEL_RUN_TIME   
			double totalcputick=0;
			double totalgputick=0;
			double totalgputick_kernel=0;
			double t0=0;
			double t1=0;
			double t2=0;	
			for(int k=0;k<2;k++){
				totalcputick=0;
				totalgputick=0;
				totalgputick_kernel=0;
				for(int j = 0; j < LOOP_TIMES+1; j ++)
				{
					Has_roi(k);       

					t0 = (double)cvGetTickCount();//cpu start
					cv::bilateralFilter(mat1_roi, dst_roi, d,sigmacolor,sigmaspace, bordertype[i]);
					t0 = (double)cvGetTickCount() - t0;//cpu end

					t1 = (double)cvGetTickCount();//gpu start1		
					if(type1!=nulltype)
					{
						clmat1_roi = clmat1(Rect(src1x,src1y,roicols,roirows));
					}
					t2=(double)cvGetTickCount();//kernel
					cv::ocl::bilateralFilter(clmat1_roi, cldst_roi, d,sigmacolor,sigmaspace, bordertype[i]);
					t2 = (double)cvGetTickCount() - t2;//kernel
					cv::Mat cpu_cldst;
					cldst.download(cpu_cldst);//download
					t1 = (double)cvGetTickCount() - t1;//gpu end1		

					if(j == 0)
						continue;

					totalgputick=t1+totalgputick;
					totalcputick=t0+totalcputick;	
					totalgputick_kernel=t2+totalgputick_kernel;	

				}
				if(k==0){cout<<"no roi\n";}else{cout<<"with roi\n";};
				cout << "average cpu runtime is  " << totalcputick/((double)cvGetTickFrequency()* LOOP_TIMES *1000.) << "ms" << endl;
				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;
			}

#else
			for(int j = 0; j < 2; j ++)
			{
				Has_roi(j);
				if(type1!=nulltype)
				{
					clmat1_roi = clmat1(Rect(src1x,src1y,roicols,roirows));
				};
				if(j==0){cout<<"no roi:";}else{cout<<"\nwith roi:";};
				cv::ocl::bilateralFilter(clmat1_roi, cldst_roi, d,sigmacolor,sigmaspace, bordertype[i]);
			};

#endif
		};

	}
}

////////////////////////////////copyMakeBorder////////////////////////////////////////////

struct CopyMakeBorder : ImgprocTestBase {};

TEST_P(CopyMakeBorder, Mat) 
{    
	int bordertype[] = {cv::BORDER_CONSTANT,cv::BORDER_REPLICATE/*,BORDER_REFLECT,BORDER_WRAP,BORDER_REFLECT_101*/};
	//const char* borderstr[]={"BORDER_CONSTANT", "BORDER_REPLICATE"/*, "BORDER_REFLECT","BORDER_WRAP","BORDER_REFLECT_101"*/};

	if ((mat1.type() != CV_8UC1 && mat1.type() != CV_8UC4 && mat1.type() != CV_32SC1) || mat1.type() != dst.type())
	{
		cout<<"Unsupported type"<<endl;
		EXPECT_DOUBLE_EQ(0.0, 0.0);
	}
	else
	{
		for(int i=0;i<sizeof(bordertype)/sizeof(int);i++){
#ifndef PRINT_KERNEL_RUN_TIME   
			double totalcputick=0;
			double totalgputick=0;
			double totalgputick_kernel=0;
			double t0=0;
			double t1=0;
			double t2=0;	
			for(int k=0;k<2;k++){
				totalcputick=0;
				totalgputick=0;
				totalgputick_kernel=0;
				for(int j = 0; j < LOOP_TIMES+1; j ++)
				{
					Has_roi(k);       

					t0 = (double)cvGetTickCount();//cpu start
					cv::copyMakeBorder(mat1_roi, dst_roi, 7,5,5,7, bordertype[i],cv::Scalar(1.0));
					t0 = (double)cvGetTickCount() - t0;//cpu end

					t1 = (double)cvGetTickCount();//gpu start1		
					if(type1!=nulltype)
					{
						clmat1_roi = clmat1(Rect(src1x,src1y,roicols,roirows));
					}
					t2=(double)cvGetTickCount();//kernel
					cv::ocl::copyMakeBorder(clmat1_roi, cldst_roi,7,5,5,7,  bordertype[i],cv::Scalar(1.0));
					t2 = (double)cvGetTickCount() - t2;//kernel
					cv::Mat cpu_cldst;
					cldst.download(cpu_cldst);//download
					t1 = (double)cvGetTickCount() - t1;//gpu end1		

					if(j == 0)
						continue;

					totalgputick=t1+totalgputick;
					totalcputick=t0+totalcputick;	
					totalgputick_kernel=t2+totalgputick_kernel;	

				}
				if(k==0){cout<<"no roi\n";}else{cout<<"with roi\n";};
				cout << "average cpu runtime is  " << totalcputick/((double)cvGetTickFrequency()* LOOP_TIMES *1000.) << "ms" << endl;
				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;
			}
#else
			for(int j = 0; j < 2; j ++)
			{
				Has_roi(j);
				if(type1!=nulltype)
				{
					clmat1_roi = clmat1(Rect(src1x,src1y,roicols,roirows));
				};
				if(j==0){cout<<"no roi:";}else{cout<<"\nwith roi:";};
				cv::ocl::copyMakeBorder(clmat1_roi, cldst_roi,7,5,5,7,  bordertype[i],cv::Scalar(1.0));
			};
#endif
		};
	}
}

////////////////////////////////cornerMinEigenVal//////////////////////////////////////////

struct cornerMinEigenVal : ImgprocTestBase {};

TEST_P(cornerMinEigenVal, Mat) 
{    	
#ifndef PRINT_KERNEL_RUN_TIME   
	double totalcputick=0;
	double totalgputick=0;
	double totalgputick_kernel=0;
	double t0=0;
	double t1=0;
	double t2=0;	
	for(int k=0;k<2;k++){
		totalcputick=0;
		totalgputick=0;
		totalgputick_kernel=0;
		for(int j = 0; j < LOOP_TIMES+1; j ++)
		{
			Has_roi(k);       
			int blockSize = 7, apertureSize= 1 + 2 * (rand() % 4);
			int borderType = cv::BORDER_REFLECT;
			t0 = (double)cvGetTickCount();//cpu start
			cv::cornerMinEigenVal(mat1_roi, dst_roi, blockSize, apertureSize, borderType); 
			t0 = (double)cvGetTickCount() - t0;//cpu end

			t1 = (double)cvGetTickCount();//gpu start1		
			if(type1!=nulltype)
			{
				clmat1_roi = clmat1(Rect(src1x,src1y,roicols,roirows));
			}
			t2=(double)cvGetTickCount();//kernel
			cv::ocl::cornerMinEigenVal(clmat1_roi, cldst_roi, blockSize, apertureSize, borderType);
			t2 = (double)cvGetTickCount() - t2;//kernel
			cv::Mat cpu_cldst;
			cldst.download(cpu_cldst);//download
			t1 = (double)cvGetTickCount() - t1;//gpu end1		

			if(j == 0)
				continue;

			totalgputick=t1+totalgputick;
			totalcputick=t0+totalcputick;	
			totalgputick_kernel=t2+totalgputick_kernel;	

		}
		if(k==0){cout<<"no roi\n";}else{cout<<"with roi\n";};
		cout << "average cpu runtime is  " << totalcputick/((double)cvGetTickFrequency()* LOOP_TIMES *1000.) << "ms" << endl;
		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;
	}
#else
	for(int j = 0; j < 2; j ++)
	{
		Has_roi(j);
		int blockSize = 7, apertureSize= 1 + 2 * (rand() % 4);
		int borderType = cv::BORDER_REFLECT;
		if(type1!=nulltype)
		{
			clmat1_roi = clmat1(Rect(src1x,src1y,roicols,roirows));
		};
		if(j==0){cout<<"no roi:";}else{cout<<"\nwith roi:";};
		cv::ocl::cornerMinEigenVal(clmat1_roi, cldst_roi, blockSize, apertureSize, borderType);
	};
#endif
}


////////////////////////////////cornerHarris//////////////////////////////////////////

struct cornerHarris : ImgprocTestBase {};

TEST_P(cornerHarris, Mat) 
{    
#ifndef PRINT_KERNEL_RUN_TIME   
	double totalcputick=0;
	double totalgputick=0;
	double totalgputick_kernel=0;
	double t0=0;
	double t1=0;
	double t2=0;	
	for(int k=0;k<2;k++){
		totalcputick=0;
		totalgputick=0;
		totalgputick_kernel=0;
		for(int j = 0; j < LOOP_TIMES+1; j ++)
		{
			Has_roi(k);   
			int blockSize = 7, apertureSize= 3;
			int borderType = cv::BORDER_REFLECT;
			double kk = 2;
			t0 = (double)cvGetTickCount();//cpu start
			cv::cornerHarris(mat1_roi, dst_roi, blockSize, apertureSize, kk, borderType); 
			t0 = (double)cvGetTickCount() - t0;//cpu end

			t1 = (double)cvGetTickCount();//gpu start1		
			if(type1!=nulltype)
			{
				clmat1_roi = clmat1(Rect(src1x,src1y,roicols,roirows));
			}
			t2=(double)cvGetTickCount();//kernel
			cv::ocl::cornerHarris(clmat1_roi, cldst_roi, blockSize, apertureSize, kk, borderType);
			t2 = (double)cvGetTickCount() - t2;//kernel
			cv::Mat cpu_cldst;
			cldst.download(cpu_cldst);//download
			t1 = (double)cvGetTickCount() - t1;//gpu end1		

			if(j == 0)
				continue;

			totalgputick=t1+totalgputick;
			totalcputick=t0+totalcputick;	
			totalgputick_kernel=t2+totalgputick_kernel;	

		}
		if(k==0){cout<<"no roi\n";}else{cout<<"with roi\n";};
		cout << "average cpu runtime is  " << totalcputick/((double)cvGetTickFrequency()* LOOP_TIMES *1000.) << "ms" << endl;
		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;
	}
#else
	for(int j = 0; j < 2; j ++)
	{
		Has_roi(j);
		double kk = 2;
		int blockSize = 7, apertureSize= 3;
		int borderType = cv::BORDER_REFLECT;
		if(type1!=nulltype)
		{
			clmat1_roi = clmat1(Rect(src1x,src1y,roicols,roirows));
		};
		if(j==0){cout<<"no roi:";}else{cout<<"\nwith roi:";};
		cv::ocl::cornerHarris(clmat1_roi, cldst_roi, blockSize, apertureSize, kk, borderType);
	};
#endif

}


////////////////////////////////integral/////////////////////////////////////////////////

struct integral : ImgprocTestBase {};

TEST_P(integral, Mat) 
{    
#ifndef PRINT_KERNEL_RUN_TIME   
	double totalcputick=0;
	double totalgputick=0;
	double totalgputick_kernel=0;
	double t0=0;
	double t1=0;
	double t2=0;	
	for(int k=0;k<2;k++){
		totalcputick=0;
		totalgputick=0;
		totalgputick_kernel=0;
		for(int j = 0; j < LOOP_TIMES+1; j ++)
		{
			Has_roi(k);   
			t0 = (double)cvGetTickCount();//cpu start
			cv::integral(mat1_roi, dst_roi, dst1_roi);
			t0 = (double)cvGetTickCount() - t0;//cpu end

			t1 = (double)cvGetTickCount();//gpu start1		
			if(type1!=nulltype)
			{
				clmat1_roi = clmat1(Rect(src1x,src1y,roicols,roirows));
			}
			t2=(double)cvGetTickCount();//kernel
			cv::ocl::integral(clmat1_roi, cldst_roi, cldst1_roi);
			t2 = (double)cvGetTickCount() - t2;//kernel
			cv::Mat cpu_cldst;
			cv::Mat cpu_cldst1;
			cldst.download(cpu_cldst);//download
			cldst1.download(cpu_cldst1);
			t1 = (double)cvGetTickCount() - t1;//gpu end1	

			if(j == 0)
				continue;

			totalgputick=t1+totalgputick;
			totalcputick=t0+totalcputick;	
			totalgputick_kernel=t2+totalgputick_kernel;	

		}
		if(k==0){cout<<"no roi\n";}else{cout<<"with roi\n";};
		cout << "average cpu runtime is  " << totalcputick/((double)cvGetTickFrequency()* LOOP_TIMES *1000.) << "ms" << endl;
		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;
	}
#else
	for(int j = 0; j < 2; j ++)
	{
		Has_roi(j);
		if(type1!=nulltype)
		{
			clmat1_roi = clmat1(Rect(src1x,src1y,roicols,roirows));
		};
		if(j==0){cout<<"no roi:";}else{cout<<"\nwith roi:";};
		cv::ocl::integral(clmat1_roi, cldst_roi, cldst1_roi);
	};
#endif
}


/////////////////////////////////////////////////////////////////////////////////////////////////
// warpAffine  & warpPerspective

PARAM_TEST_CASE(WarpTestBase, MatType, int)
{
	int type;
	cv::Size size;
	int interpolation;

	//src mat
	cv::Mat mat1; 
	cv::Mat dst;

	// set up roi
	int src_roicols;
	int src_roirows;
	int dst_roicols;
	int dst_roirows;
	int src1x;
	int src1y;
	int dstx;
	int dsty;


	//src mat with roi
	cv::Mat mat1_roi;
	cv::Mat dst_roi;
	std::vector<cv::ocl::Info> oclinfo;
	//ocl dst mat for testing
	cv::ocl::oclMat gdst_whole;

	//ocl mat with roi
	cv::ocl::oclMat gmat1;
	cv::ocl::oclMat gdst;

	virtual void SetUp()
	{
		type = GET_PARAM(0);
		//dsize = GET_PARAM(1);
		interpolation = GET_PARAM(1);

		cv::RNG& rng = TS::ptr()->get_rng();
		size = cv::Size(MWIDTH, MHEIGHT);

		mat1 = randomMat(rng, size, type, 5, 16, false);
		dst  = randomMat(rng, size, type, 5, 16, false);

		int devnums = getDevice(oclinfo);
		CV_Assert(devnums > 0);
		//if you want to use undefault device, set it here
		//setDevice(oclinfo[0]);
		cv::ocl::setBinpath(CLBINPATH);
	}
	void Has_roi(int b)
	{
		//cv::RNG& rng = TS::ptr()->get_rng();
		if(b)
		{
			//randomize ROI
			src_roicols =  mat1.cols-1; //start
			src_roirows = mat1.rows-1;
			dst_roicols=dst.cols-1;
			dst_roirows=dst.rows-1;
			src1x   = 1;
			src1y   = 1;
			dstx    = 1;
			dsty    =1;

		}else
		{
			src_roicols = mat1.cols;
			src_roirows = mat1.rows;
			dst_roicols=dst.cols;
			dst_roirows=dst.rows;
			src1x = 0;
			src1y = 0;
			dstx = 0;
			dsty = 0;

		};
		mat1_roi = mat1(Rect(src1x,src1y,src_roicols,src_roirows));
		dst_roi  = dst(Rect(dstx,dsty,dst_roicols,dst_roirows));


	}

};

/////warpAffine

struct WarpAffine : WarpTestBase{};

TEST_P(WarpAffine, Mat)
{
	static const double coeffs[2][3] =
	{
		{cos(3.14 / 6), -sin(3.14 / 6), 100.0},
		{sin(3.14 / 6), cos(3.14 / 6), -100.0}
	};
	Mat M(2, 3, CV_64F, (void*)coeffs);

#ifndef PRINT_KERNEL_RUN_TIME   
	double totalcputick=0;
	double totalgputick=0;
	double totalgputick_kernel=0;
	double t0=0;
	double t1=0;
	double t2=0;	
	for(int k=0;k<2;k++){
		totalcputick=0;
		totalgputick=0;
		totalgputick_kernel=0;
		for(int j = 0; j < LOOP_TIMES+1; j ++)
		{
			Has_roi(k);       

			t0 = (double)cvGetTickCount();//cpu start
			cv::warpAffine(mat1_roi, dst_roi, M, size, interpolation);
			t0 = (double)cvGetTickCount() - t0;//cpu end

			t1 = (double)cvGetTickCount();//gpu start1		
			gdst_whole = dst;
			gdst = gdst_whole(Rect(dstx,dsty,dst_roicols,dst_roirows));

			gmat1 = mat1_roi;
			t2=(double)cvGetTickCount();//kernel
			cv::ocl::warpAffine(gmat1, gdst, M, size, interpolation);
			t2 = (double)cvGetTickCount() - t2;//kernel
			cv::Mat cpu_dst;
			gdst_whole.download (cpu_dst);//download
			t1 = (double)cvGetTickCount() - t1;//gpu end1		

			if(j == 0)
				continue;

			totalgputick=t1+totalgputick;
			totalcputick=t0+totalcputick;	
			totalgputick_kernel=t2+totalgputick_kernel;	

		}
		if(k==0){cout<<"no roi\n";}else{cout<<"with roi\n";};
		cout << "average cpu runtime is  " << totalcputick/((double)cvGetTickFrequency()* LOOP_TIMES *1000.) << "ms" << endl;
		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;
	}
#else
	for(int j = 0; j < 2; j ++)
	{
		Has_roi(j);
		gdst_whole = dst;
		gdst = gdst_whole(Rect(dstx,dsty,dst_roicols,dst_roirows));
		gmat1 = mat1_roi;
		if(j==0){cout<<"no roi:";}else{cout<<"\nwith roi:";};
		cv::ocl::warpAffine(gmat1, gdst, M, size, interpolation);
	};
#endif

}


// warpPerspective

struct WarpPerspective : WarpTestBase{};

TEST_P(WarpPerspective, Mat)
{
	static const double coeffs[3][3] =
	{
		{cos(3.14 / 6), -sin(3.14 / 6), 100.0},
		{sin(3.14 / 6), cos(3.14 / 6), -100.0},
		{0.0, 0.0, 1.0}
	};
	Mat M(3, 3, CV_64F, (void*)coeffs);

#ifndef PRINT_KERNEL_RUN_TIME   
	double totalcputick=0;
	double totalgputick=0;
	double totalgputick_kernel=0;
	double t0=0;
	double t1=0;
	double t2=0;	
	for(int k=0;k<2;k++){
		totalcputick=0;
		totalgputick=0;
		totalgputick_kernel=0;
		for(int j = 0; j < LOOP_TIMES+1; j ++)
		{
			Has_roi(k);       

			t0 = (double)cvGetTickCount();//cpu start
			cv::warpPerspective(mat1_roi, dst_roi, M, size, interpolation);
			t0 = (double)cvGetTickCount() - t0;//cpu end

			t1 = (double)cvGetTickCount();//gpu start1		
			gdst_whole = dst;
			gdst = gdst_whole(Rect(dstx,dsty,dst_roicols,dst_roirows));

			gmat1 = mat1_roi;
			t2=(double)cvGetTickCount();//kernel
			cv::ocl::warpPerspective(gmat1, gdst, M, size, interpolation);
			t2 = (double)cvGetTickCount() - t2;//kernel
			cv::Mat cpu_dst;
			gdst_whole.download (cpu_dst);//download
			t1 = (double)cvGetTickCount() - t1;//gpu end1		

			if(j == 0)
				continue;

			totalgputick=t1+totalgputick;
			totalcputick=t0+totalcputick;	
			totalgputick_kernel=t2+totalgputick_kernel;	

		}
		if(k==0){cout<<"no roi\n";}else{cout<<"with roi\n";};
		cout << "average cpu runtime is  " << totalcputick/((double)cvGetTickFrequency()* LOOP_TIMES *1000.) << "ms" << endl;
		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;
	}
#else
	for(int j = 0; j < 2; j ++)
	{
		Has_roi(j);
		gdst_whole = dst;
		gdst = gdst_whole(Rect(dstx,dsty,dst_roicols,dst_roirows));
		gmat1 = mat1_roi;
		if(j==0){cout<<"no roi:";}else{cout<<"\nwith roi:";};
		cv::ocl::warpPerspective(gmat1, gdst, M, size, interpolation);
	};
#endif

}


/////////////////////////////////////////////////////////////////////////////////////////////////
// resize

PARAM_TEST_CASE(Resize, MatType, cv::Size, double, double, int)
{
	int type;
	cv::Size dsize;
	double fx, fy;
	int interpolation;

	//src mat
	cv::Mat mat1; 
	cv::Mat dst;

	// set up roi
	int src_roicols;
	int src_roirows;
	int dst_roicols;
	int dst_roirows;
	int src1x;
	int src1y;
	int dstx;
	int dsty;


	//src mat with roi
	cv::Mat mat1_roi;
	cv::Mat dst_roi;
	std::vector<cv::ocl::Info> oclinfo;
	//ocl dst mat for testing
	cv::ocl::oclMat gdst_whole;

	//ocl mat with roi
	cv::ocl::oclMat gmat1;
	cv::ocl::oclMat gdst;

	virtual void SetUp()
	{
		type = GET_PARAM(0);
		dsize = GET_PARAM(1);
		fx = GET_PARAM(2);
		fy = GET_PARAM(3);
		interpolation = GET_PARAM(4);

		cv::RNG& rng = TS::ptr()->get_rng();
		cv::Size size(MWIDTH, MHEIGHT);

		if(dsize == cv::Size() && !(fx > 0 && fy > 0))
		{
			cout << "invalid dsize and fx fy" << endl;
			return;
		}

		if(dsize == cv::Size()) 
		{
			dsize.width = (int)(size.width * fx);
			dsize.height = (int)(size.height * fy);
		}

		mat1 = randomMat(rng, size, type, 5, 16, false);
		dst  = randomMat(rng, dsize, type, 5, 16, false);

		int devnums = getDevice(oclinfo);
		CV_Assert(devnums > 0);
		//if you want to use undefault device, set it here
		//setDevice(oclinfo[0]);
		cv::ocl::setBinpath(CLBINPATH);
	}
	void Has_roi(int b)
	{
		//cv::RNG& rng = TS::ptr()->get_rng();
		if(b)
		{
			//randomize ROI
			src_roicols =  mat1.cols-1; //start
			src_roirows = mat1.rows-1;
			dst_roicols=dst.cols-1;
			dst_roirows=dst.rows-1;
			src1x   = 1;
			src1y   = 1;
			dstx    = 1;
			dsty    =1;

		}else
		{
			src_roicols = mat1.cols;
			src_roirows = mat1.rows;
			dst_roicols=dst.cols;
			dst_roirows=dst.rows;
			src1x = 0;
			src1y = 0;
			dstx = 0;
			dsty = 0;

		};
		mat1_roi = mat1(Rect(src1x,src1y,src_roicols,src_roirows));
		dst_roi  = dst(Rect(dstx,dsty,dst_roicols,dst_roirows));


	}

};

TEST_P(Resize, Mat)
{
#ifndef PRINT_KERNEL_RUN_TIME   
	double totalcputick=0;
	double totalgputick=0;
	double totalgputick_kernel=0;
	double t0=0;
	double t1=0;
	double t2=0;	
	for(int k=0;k<2;k++){
		totalcputick=0;
		totalgputick=0;
		totalgputick_kernel=0;
		for(int j = 0; j < LOOP_TIMES+1; j ++)
		{
			Has_roi(k);       

			t0 = (double)cvGetTickCount();//cpu start
			cv::resize(mat1_roi, dst_roi, dsize, fx, fy, interpolation);
			t0 = (double)cvGetTickCount() - t0;//cpu end

			t1 = (double)cvGetTickCount();//gpu start1		
			gdst_whole = dst;
			gdst = gdst_whole(Rect(dstx,dsty,dst_roicols,dst_roirows));

			gmat1 = mat1_roi;
			t2=(double)cvGetTickCount();//kernel
			cv::ocl::resize(gmat1, gdst, dsize, fx, fy, interpolation);
			t2 = (double)cvGetTickCount() - t2;//kernel
			cv::Mat cpu_dst;
			gdst_whole.download (cpu_dst);//download
			t1 = (double)cvGetTickCount() - t1;//gpu end1		

			if(j == 0)
				continue;

			totalgputick=t1+totalgputick;
			totalcputick=t0+totalcputick;	
			totalgputick_kernel=t2+totalgputick_kernel;	

		}
		if(k==0){cout<<"no roi\n";}else{cout<<"with roi\n";};
		cout << "average cpu runtime is  " << totalcputick/((double)cvGetTickFrequency()* LOOP_TIMES *1000.) << "ms" << endl;
		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;
	}
#else
	for(int j = 0; j < 2; j ++)
	{
		Has_roi(j);
		gdst_whole = dst;
		gdst = gdst_whole(Rect(dstx,dsty,dst_roicols,dst_roirows));
		gmat1 = mat1_roi;
		if(j==0){cout<<"no roi:";}else{cout<<"\nwith roi:";};
		cv::ocl::resize(gmat1, gdst, dsize, fx, fy, interpolation);
	};
#endif

}

/////////////////////////////////////////////////////////////////////////////////////////////////
//threshold 

PARAM_TEST_CASE(Threshold, MatType, ThreshOp)
{
	int type;
	int threshOp;

	//src mat
	cv::Mat mat1; 
	cv::Mat dst;

	// set up roi
	int roicols;
	int roirows;
	int src1x;
	int src1y;
	int dstx;
	int dsty;

	//src mat with roi
	cv::Mat mat1_roi;
	cv::Mat dst_roi;
	std::vector<cv::ocl::Info> oclinfo;
	//ocl dst mat for testing
	cv::ocl::oclMat gdst_whole;

	//ocl mat with roi
	cv::ocl::oclMat gmat1;
	cv::ocl::oclMat gdst;

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

		cv::RNG& rng = TS::ptr()->get_rng();
		cv::Size size(MWIDTH, MHEIGHT);

		mat1 = randomMat(rng, size, type, 5, 16, false);
		dst  = randomMat(rng, size, type, 5, 16, false);

		int devnums = getDevice(oclinfo);
		CV_Assert(devnums > 0);
		//if you want to use undefault device, set it here
		//setDevice(oclinfo[0]);
		cv::ocl::setBinpath(CLBINPATH);
	}
	void Has_roi(int b)
	{
		//cv::RNG& rng = TS::ptr()->get_rng();
		if(b)
		{
			//randomize ROI
			roicols =  mat1.cols-1; //start
			roirows = mat1.rows-1;
			src1x   = 1;
			src1y   = 1;
			dstx    = 1;
			dsty    =1;

		}else
		{
			roicols = mat1.cols;
			roirows = mat1.rows;
			src1x = 0;
			src1y = 0;
			dstx = 0;
			dsty = 0;

		};
		mat1_roi = mat1(Rect(src1x,src1y,roicols,roirows));
		dst_roi  = dst(Rect(dstx,dsty,roicols,roirows));


	}
};

TEST_P(Threshold, Mat)
{
#ifndef PRINT_KERNEL_RUN_TIME   
	double totalcputick=0;
	double totalgputick=0;
	double totalgputick_kernel=0;
	double t0=0;
	double t1=0;
	double t2=0;	
	for(int k=0;k<2;k++){
		totalcputick=0;
		totalgputick=0;
		totalgputick_kernel=0;
		for(int j = 0; j < LOOP_TIMES+1; j ++)
		{
			Has_roi(k);       

			double maxVal = randomDouble(20.0, 127.0);
			double thresh = randomDouble(0.0, maxVal);
			t0 = (double)cvGetTickCount();//cpu start
			cv::threshold(mat1_roi, dst_roi, thresh, maxVal, threshOp);
			t0 = (double)cvGetTickCount() - t0;//cpu end

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

			gdst_whole = dst;
			gdst = gdst_whole(Rect(dstx,dsty,roicols,roirows));
			gmat1 = mat1_roi;
			t2=(double)cvGetTickCount();//kernel
			cv::ocl::threshold(gmat1, gdst, thresh, maxVal, threshOp);
			t2 = (double)cvGetTickCount() - t2;//kernel

			cv::Mat cpu_dst;
			gdst_whole.download (cpu_dst);//download
			t1 = (double)cvGetTickCount() - t1;//gpu end1	

			if(j == 0)
				continue;

			totalgputick=t1+totalgputick;
			totalcputick=t0+totalcputick;	
			totalgputick_kernel=t2+totalgputick_kernel;	

		}
		if(k==0){cout<<"no roi\n";}else{cout<<"with roi\n";};
		cout << "average cpu runtime is  " << totalcputick/((double)cvGetTickFrequency()* LOOP_TIMES *1000.) << "ms" << endl;
		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;
	}
#else
	for(int j = 0; j < 2; j ++)
	{
		Has_roi(j);
		double maxVal = randomDouble(20.0, 127.0);
		double thresh = randomDouble(0.0, maxVal);
		gdst_whole = dst;
		gdst = gdst_whole(Rect(dstx,dsty,roicols,roirows));
		gmat1 = mat1_roi;

		if(j==0){cout<<"no roi:";}else{cout<<"\nwith roi:";};
		cv::ocl::threshold(gmat1, gdst, thresh, maxVal, threshOp);
	};
#endif

}
///////////////////////////////////////////////////////////////////////////////////////////////////
//meanShift

PARAM_TEST_CASE(meanShiftTestBase, MatType, MatType, int, int, cv::TermCriteria)
{
	int type, typeCoor;
	int sp, sr;
	cv::TermCriteria crit;
	//src mat
	cv::Mat src;
	cv::Mat dst;
	cv::Mat dstCoor;

	//set up roi
	int roicols;
	int roirows;
	int srcx;
	int srcy;
	int dstx;
	int dsty;

	//src mat with roi
	cv::Mat src_roi;
	cv::Mat dst_roi;
	cv::Mat dstCoor_roi;

	//ocl dst mat
	cv::ocl::oclMat gdst;
	cv::ocl::oclMat gdstCoor;

	std::vector<cv::ocl::Info> oclinfo;
	//ocl mat with roi
	cv::ocl::oclMat gsrc_roi;
	cv::ocl::oclMat gdst_roi;
	cv::ocl::oclMat gdstCoor_roi;

	virtual void SetUp()
	{
		type     = GET_PARAM(0);
		typeCoor = GET_PARAM(1);
		sp       = GET_PARAM(2);
		sr       = GET_PARAM(3);
		crit     = GET_PARAM(4);

		cv::RNG &rng = TS::ptr()->get_rng();

		// MWIDTH=256, MHEIGHT=256. defined in utility.hpp
		cv::Size size = cv::Size(MWIDTH, MHEIGHT);

		src = randomMat(rng, size, type, 5, 16, false);
		dst = randomMat(rng, size, type, 5, 16, false);
		dstCoor = randomMat(rng, size, typeCoor, 5, 16, false);

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

	void Has_roi(int b)
	{
		if(b)
		{
			//randomize ROI
			roicols = src.cols - 1;
			roirows = src.rows - 1;
			srcx = 1;
			srcy = 1;
			dstx = 1;
			dsty = 1;
		}else
		{
			roicols = src.cols;
			roirows = src.rows;
			srcx = 0;
			srcy = 0;
			dstx = 0;
			dsty = 0;
		};

		src_roi = src(Rect(srcx, srcy, roicols, roirows));
		dst_roi = dst(Rect(dstx, dsty, roicols, roirows));
		dstCoor_roi = dstCoor(Rect(dstx, dsty, roicols, roirows));

		gdst = dst;
		gdstCoor = dstCoor;
	}
};

/////////////////////////meanShiftFiltering/////////////////////////////
struct meanShiftFiltering : meanShiftTestBase {};

TEST_P(meanShiftFiltering, Mat)
{

#ifndef PRINT_KERNEL_RUN_TIME   
	double t1=0;
	double t2=0;	
	for(int k=0;k<2;k++)
	{
		double totalgputick=0;
		double totalgputick_kernel=0;
		for(int j = 0; j < LOOP_TIMES+1; j ++)
		{
			Has_roi(k);       

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

			gsrc_roi = src_roi;
			gdst_roi = gdst(Rect(dstx, dsty, roicols, roirows));  //gdst_roi

			t2=(double)cvGetTickCount();//kernel
			cv::ocl::meanShiftFiltering(gsrc_roi, gdst_roi, sp, sr, crit);
			t2 = (double)cvGetTickCount() - t2;//kernel

			cv::Mat cpu_gdst;
			gdst.download(cpu_gdst);//download

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

			if(j == 0)
				continue;

			totalgputick=t1+totalgputick;
			totalgputick_kernel=t2+totalgputick_kernel;	

		}
		if(k==0){cout<<"no roi\n";}else{cout<<"with roi\n";};
		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;
	}
#else
	for(int j = 0; j < 2; j ++)
	{
		Has_roi(j);

		gsrc_roi = src_roi;
		gdst_roi = gdst(Rect(dstx, dsty, roicols, roirows));  //gdst_roi

		if(j==0){cout<<"no roi:";}else{cout<<"\nwith roi:";};
		cv::ocl::meanShiftFiltering(gsrc_roi, gdst_roi, sp, sr, crit);
	};
#endif

}

///////////////////////////meanShiftProc//////////////////////////////////
struct meanShiftProc : meanShiftTestBase {};

TEST_P(meanShiftProc, Mat)
{

#ifndef PRINT_KERNEL_RUN_TIME   
	double t1=0;
	double t2=0;	
	for(int k=0;k<2;k++)
	{
		double totalgputick=0;
		double totalgputick_kernel=0;
		for(int j = 0; j < LOOP_TIMES+1; j ++)
		{
			Has_roi(k);       

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

			gsrc_roi = src_roi;
			gdst_roi = gdst(Rect(dstx, dsty, roicols, roirows));  //gdst_roi
			gdstCoor_roi = gdstCoor(Rect(dstx, dsty, roicols, roirows));

			t2=(double)cvGetTickCount();//kernel
			cv::ocl::meanShiftProc(gsrc_roi, gdst_roi, gdstCoor_roi, sp, sr, crit);
			t2 = (double)cvGetTickCount() - t2;//kernel

			cv::Mat cpu_gdstCoor;
			gdstCoor.download(cpu_gdstCoor);//download

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

			if(j == 0)
				continue;

			totalgputick=t1+totalgputick;
			totalgputick_kernel=t2+totalgputick_kernel;	

		}
		if(k==0){cout<<"no roi\n";}else{cout<<"with roi\n";};
		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;
	}
#else
	for(int j = 0; j < 2; j ++)
	{
		Has_roi(j);

		gsrc_roi = src_roi;
		gdst_roi = gdst(Rect(dstx, dsty, roicols, roirows));  //gdst_roi
		gdstCoor_roi = gdstCoor(Rect(dstx, dsty, roicols, roirows));

		if(j==0){cout<<"no roi:";}else{cout<<"\nwith roi:";};
		cv::ocl::meanShiftProc(gsrc_roi, gdst_roi, gdstCoor_roi, sp, sr, crit);
	};
#endif

}



//************test*******************

INSTANTIATE_TEST_CASE_P(ImgprocTestBase, equalizeHist, Combine(
						ONE_TYPE(CV_8UC1),
						NULL_TYPE,
						ONE_TYPE(CV_8UC1),
						NULL_TYPE,
						NULL_TYPE,
						Values(false))); // Values(false) is the reserved parameter

//INSTANTIATE_TEST_CASE_P(ImgprocTestBase, bilateralFilter, Combine(
//	ONE_TYPE(CV_8UC1),
//	NULL_TYPE,
//	ONE_TYPE(CV_8UC1),
//	NULL_TYPE,
//	NULL_TYPE,
//	Values(false))); // Values(false) is the reserved parameter
//
//
//INSTANTIATE_TEST_CASE_P(ImgprocTestBase, CopyMakeBorder, Combine(
//	Values(CV_8UC1, CV_8UC4/*, CV_32SC1*/),
//	NULL_TYPE,
//	Values(CV_8UC1,CV_8UC4/*,CV_32SC1*/),
//	NULL_TYPE,
//	NULL_TYPE,
//	Values(false))); // Values(false) is the reserved parameter

//INSTANTIATE_TEST_CASE_P(ImgprocTestBase, cornerMinEigenVal, Combine(
//	Values(CV_8UC1,CV_32FC1),
//	NULL_TYPE,
//	ONE_TYPE(CV_32FC1),
//	NULL_TYPE,
//	NULL_TYPE,
//	Values(false))); // Values(false) is the reserved parameter
//
//INSTANTIATE_TEST_CASE_P(ImgprocTestBase, cornerHarris, Combine(
//	Values(CV_8UC1,CV_32FC1),
//	NULL_TYPE,
//	ONE_TYPE(CV_32FC1),
//	NULL_TYPE,
//	NULL_TYPE,
//	Values(false))); // Values(false) is the reserved parameter


INSTANTIATE_TEST_CASE_P(ImgprocTestBase, integral, Combine(
						ONE_TYPE(CV_8UC1),
						NULL_TYPE,
						ONE_TYPE(CV_32SC1),
						ONE_TYPE(CV_32FC1),
						NULL_TYPE,
						Values(false))); // Values(false) is the reserved parameter

INSTANTIATE_TEST_CASE_P(Imgproc, WarpAffine, Combine(
						Values(CV_8UC1, CV_8UC4, CV_32FC1, CV_32FC4),
						Values((MatType)cv::INTER_NEAREST, (MatType)cv::INTER_LINEAR,
						(MatType)cv::INTER_CUBIC, (MatType)(cv::INTER_NEAREST | cv::WARP_INVERSE_MAP),
						(MatType)(cv::INTER_LINEAR | cv::WARP_INVERSE_MAP), (MatType)(cv::INTER_CUBIC | cv::WARP_INVERSE_MAP))));


INSTANTIATE_TEST_CASE_P(Imgproc, WarpPerspective, Combine
						(Values(CV_8UC1, CV_8UC4, CV_32FC1, CV_32FC4),
						Values((MatType)cv::INTER_NEAREST, (MatType)cv::INTER_LINEAR,
						(MatType)cv::INTER_CUBIC, (MatType)(cv::INTER_NEAREST | cv::WARP_INVERSE_MAP),
						(MatType)(cv::INTER_LINEAR | cv::WARP_INVERSE_MAP), (MatType)(cv::INTER_CUBIC | cv::WARP_INVERSE_MAP))));


INSTANTIATE_TEST_CASE_P(Imgproc, Resize, Combine(
						Values(CV_8UC1, CV_8UC4, CV_32FC1, CV_32FC4),  Values(cv::Size()),
						Values(0.5/*, 1.5, 2*/), Values(0.5/*, 1.5, 2*/), Values((MatType)cv::INTER_NEAREST, (MatType)cv::INTER_LINEAR)));


INSTANTIATE_TEST_CASE_P(Imgproc, Threshold, Combine(
						Values(CV_8UC1, CV_32FC1), Values(ThreshOp(cv::THRESH_BINARY),
						ThreshOp(cv::THRESH_BINARY_INV), ThreshOp(cv::THRESH_TRUNC),
						ThreshOp(cv::THRESH_TOZERO), ThreshOp(cv::THRESH_TOZERO_INV))));

INSTANTIATE_TEST_CASE_P(Imgproc, meanShiftFiltering, Combine(
						ONE_TYPE(CV_8UC4),
						ONE_TYPE(CV_16SC2),//it is no use in meanShiftFiltering
						Values(5),
						Values(6),
						Values(cv::TermCriteria(cv::TermCriteria::COUNT + cv::TermCriteria::EPS, 5, 1))
						));

INSTANTIATE_TEST_CASE_P(Imgproc, meanShiftProc, Combine(
						ONE_TYPE(CV_8UC4),
						ONE_TYPE(CV_16SC2),
						Values(5),
						Values(6),
						Values(cv::TermCriteria(cv::TermCriteria::COUNT+cv::TermCriteria::EPS, 5, 1))
						));


#endif // HAVE_OPENCL