/*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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//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=LOOPROISTART;k<LOOPROIEND;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 = LOOPROISTART; j < LOOPROIEND; 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=LOOPROISTART;k<LOOPROIEND;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 = LOOPROISTART; j < LOOPROIEND; 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,cv::BORDER_REFLECT,cv::BORDER_WRAP,cv::BORDER_REFLECT_101};
	//const char* borderstr[]={"BORDER_CONSTANT", "BORDER_REPLICATE"/*, "BORDER_REFLECT","BORDER_WRAP","BORDER_REFLECT_101"*/};
	int top=5;
	int bottom=5;
	int left=6;
	int right=6;
	if (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=LOOPROISTART;k<LOOPROIEND;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, top,bottom,left,right, bordertype[i]| cv::BORDER_ISOLATED,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,top,bottom,left,right,  bordertype[i]| cv::BORDER_ISOLATED,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 = LOOPROISTART; j < LOOPROIEND; 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,top,bottom,left,right,  bordertype[i]| cv::BORDER_ISOLATED,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=LOOPROISTART;k<LOOPROIEND;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;//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 = LOOPROISTART; j < LOOPROIEND; 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=LOOPROISTART;k<LOOPROIEND;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 = LOOPROISTART; j < LOOPROIEND; 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=LOOPROISTART;k<LOOPROIEND;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 = LOOPROISTART; j < LOOPROIEND; 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=LOOPROISTART;k<LOOPROIEND;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 = LOOPROISTART; j < LOOPROIEND; 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=LOOPROISTART;k<LOOPROIEND;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 = LOOPROISTART; j < LOOPROIEND; 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

}

/////////////////////////////////////////////////////////////////////////////////////////////////
// remap
//////////////////////////////////////////////////////////////////////////////////////////////////

PARAM_TEST_CASE(Remap, MatType, MatType, MatType, int, int)
{
    int srcType;
    int map1Type;
    int map2Type;
    cv::Scalar val;

    int interpolation;
    int bordertype;

    cv::Mat src;
    cv::Mat dst;
    cv::Mat map1;
    cv::Mat map2;

   
    int src_roicols;
    int src_roirows;
    int dst_roicols;
    int dst_roirows;
    int map1_roicols;
    int map1_roirows;
    int map2_roicols;
    int map2_roirows;
    int srcx;
    int srcy;
    int dstx;
    int dsty;
    int map1x;
    int map1y;
    int map2x;
    int map2y;

    cv::Mat src_roi;
    cv::Mat dst_roi;
    cv::Mat map1_roi;
    cv::Mat map2_roi;

    //ocl mat for testing
    cv::ocl::oclMat gdst;

    //ocl mat with roi
    cv::ocl::oclMat gsrc_roi;
    cv::ocl::oclMat gdst_roi;
    cv::ocl::oclMat gmap1_roi;
    cv::ocl::oclMat gmap2_roi;

    virtual void SetUp()
    {
        srcType = GET_PARAM(0);
        map1Type = GET_PARAM(1);
        map2Type = GET_PARAM(2);
        interpolation = GET_PARAM(3);
        bordertype = GET_PARAM(4);

        cv::RNG& rng = TS::ptr()->get_rng();
        cv::Size srcSize = cv::Size(MWIDTH, MHEIGHT);
        cv::Size dstSize = cv::Size(MWIDTH, MHEIGHT);
        cv::Size map1Size = cv::Size(MWIDTH, MHEIGHT);
        double min = 5, max = 16;

        if(srcType != nulltype)
        {
            src = randomMat(rng, srcSize, srcType, min, max, false);
        }
        if((map1Type == CV_16SC2 && map2Type == nulltype) || (map1Type == CV_32FC2&& map2Type == nulltype))
        {
            map1 = randomMat(rng, map1Size, map1Type, min, max, false);

        }
        else if (map1Type == CV_32FC1 && map2Type == CV_32FC1)
        {
            map1 = randomMat(rng, map1Size, map1Type, min, max, false);
            map2 = randomMat(rng, map1Size, map1Type, min, max, false);
        }

        else
            cout<<"The wrong input type"<<endl;

        dst = randomMat(rng, map1Size, srcType, min, max, false);
        switch (src.channels())
        {
            case 1:
                val = cv::Scalar(rng.uniform(0.0, 10.0), 0, 0, 0);
                break;
            case 2:
                val = cv::Scalar(rng.uniform(0.0, 10.0), rng.uniform(0.0, 10.0), 0, 0);
                break;
            case 3:
                val = cv::Scalar(rng.uniform(0.0, 10.0), rng.uniform(0.0, 10.0), rng.uniform(0.0, 10.0), 0);
                break;
            case 4:
                val = cv::Scalar(rng.uniform(0.0, 10.0), rng.uniform(0.0, 10.0), rng.uniform(0.0, 10.0), rng.uniform(0.0, 10.0));
                break;
        }
 
        //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
            dst_roicols = dst.cols - 1;
            dst_roirows = dst.rows - 1;

            src_roicols = src.cols - 1;
            src_roirows = src.rows - 1;


            srcx = 1;
            srcy = 1;
            dstx = 1;
            dsty = 1;
        }
        else
        {
            dst_roicols = dst.cols;
            dst_roirows = dst.rows;

            src_roicols = src.cols;
            src_roirows = src.rows;


            srcx = 0;
            srcy = 0;
            dstx = 0;
            dsty = 0;
        }
        map1_roicols = dst_roicols;
        map1_roirows = dst_roirows;
        map2_roicols = dst_roicols;
        map2_roirows = dst_roirows;
        map1x = dstx;
        map1y = dsty;
        map2x = dstx;
        map2y = dsty;

        if((map1Type == CV_16SC2 && map2Type == nulltype) || (map1Type == CV_32FC2&& map2Type == nulltype))
        {
            map1_roi = map1(Rect(map1x,map1y,map1_roicols,map1_roirows));
            gmap1_roi = map1_roi;
         }

        else if (map1Type == CV_32FC1 && map2Type == CV_32FC1)
        {
            map1_roi = map1(Rect(map1x,map1y,map1_roicols,map1_roirows));
            map2_roi = map2(Rect(map2x,map2y,map2_roicols,map2_roirows));
            gmap1_roi = map1_roi;
            gmap2_roi = map2_roi;
        }
        dst_roi = dst(Rect(dstx, dsty, dst_roicols, dst_roirows));
        src_roi = dst(Rect(srcx, srcy, src_roicols, src_roirows));

    }
};

TEST_P(Remap, Mat)
{
    if((interpolation == 1 && map1Type == CV_16SC2) ||(map1Type == CV_32FC1 && map2Type == nulltype) || (map1Type == CV_16SC2 && map2Type == CV_32FC1) || (map1Type == CV_32FC2 && map2Type == CV_32FC1))
    {
        cout << "LINEAR don't support the map1Type and map2Type" << endl;
        return;                
    }
    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"*/};
#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::remap(src_roi, dst_roi, map1_roi, map2_roi, interpolation, bordertype[0], val);
            t0 = (double)cvGetTickCount() - t0;//cpu end

            t1 = (double)cvGetTickCount();//gpu start
            gsrc_roi = src_roi;
            gdst = dst;
            gdst_roi = gdst(Rect(dstx,dsty,dst_roicols,dst_roirows));

            t2 = (double)cvGetTickCount();//kernel
            cv::ocl::remap(gsrc_roi, gdst_roi, gmap1_roi, gmap2_roi, interpolation, bordertype[0], val);
            t2 = (double)cvGetTickCount() - t2;//kernel
            
            cv::Mat cpu_dst;
            gdst.download(cpu_dst);
        
            t1 = (double)cvGetTickCount() - t1;//gpu end

            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 = dst;
        gdst_roi = gdst(Rect(dstx,dsty,dst_roicols,dst_roirows));
        gsrc_roi = src_roi;
        if(j==0){cout<<"no roi:";}else{cout<<"\nwith roi:";};
        cv::ocl::remap(gsrc_roi, gdst_roi, gmap1_roi, gmap2_roi, interpolation, bordertype[0], val);
    };
#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=LOOPROISTART;k<LOOPROIEND;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 = LOOPROISTART; j < LOOPROIEND; 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=LOOPROISTART;k<LOOPROIEND;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 = LOOPROISTART; j < LOOPROIEND; 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 = LOOPROISTART; j < LOOPROIEND; 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 = LOOPROISTART; j < LOOPROIEND; 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

}

///////////////////////////////////////////////////////////////////////////////////////////
//hist

void calcHistGold(const cv::Mat& src, cv::Mat& hist)
{
    hist.create(1, 256, CV_32SC1);
    hist.setTo(cv::Scalar::all(0));

    int* hist_row = hist.ptr<int>();
    for (int y = 0; y < src.rows; ++y)
    {
        const uchar* src_row = src.ptr(y);

        for (int x = 0; x < src.cols; ++x)
            ++hist_row[src_row[x]];
    }
}

PARAM_TEST_CASE(histTestBase, MatType, MatType)
{
    int type_src;

    //src mat
    cv::Mat src;
    cv::Mat dst_hist;
    //set up roi
    int roicols;
    int roirows;
    int srcx;
    int srcy;
    //src mat with roi
    cv::Mat src_roi;
    //ocl dst mat, dst_hist and gdst_hist don't have roi
    cv::ocl::oclMat gdst_hist;
    
    //ocl mat with roi
    cv::ocl::oclMat gsrc_roi;

//    std::vector<cv::ocl::Info> oclinfo;

    virtual void SetUp()
    {
        type_src   = GET_PARAM(0);
        
        cv::RNG &rng = TS::ptr()->get_rng();
        cv::Size size = cv::Size(MWIDTH, MHEIGHT);

        src = randomMat(rng, size, type_src, 0, 256, false);

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

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

///////////////////////////calcHist///////////////////////////////////////
struct calcHist : histTestBase {};

TEST_P(calcHist, Mat)
{
#ifndef PRINT_KERNEL_RUN_TIME   
    	double t0=0;
      	double t1=0;
      	double t2=0;	
      	for(int k=0;k<2;k++)
        {
    	  double totalcputick=0;
      	  double totalgputick=0;
          double totalgputick_kernel=0;
          for(int j = 0; j < LOOP_TIMES+1; j ++)
          {
                Has_roi(k);
 
          	t0 = (double)cvGetTickCount();//cpu start
                calcHistGold(src_roi, dst_hist);
          	t0 = (double)cvGetTickCount() - t0;//cpu end
            	
            	t1 = (double)cvGetTickCount();//gpu start1		
            
                gsrc_roi = src_roi;

            	t2=(double)cvGetTickCount();//kernel
                cv::ocl::calcHist(gsrc_roi, gdst_hist);
            	t2 = (double)cvGetTickCount() - t2;//kernel

                cv::Mat cpu_hist;
                gdst_hist.download(cpu_hist);//download

            	t1 = (double)cvGetTickCount() - t1;//gpu end1	
      
                if(j == 0)
                    continue;
      
          	totalcputick=t0+totalcputick;	
            	totalgputick=t1+totalgputick;
            	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);
      
             gsrc_roi = src_roi;

             if(j==0){cout<<"no roi:";}else{cout<<"\nwith roi:";};
             cv::ocl::calcHist(gsrc_roi, gdst_hist);
      	};
#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))
						));

INSTANTIATE_TEST_CASE_P(Imgproc, Remap, Combine(
            Values(CV_8UC1, CV_8UC4, CV_32FC1, CV_32FC4),
            Values(CV_32FC1, CV_16SC2, CV_32FC2),Values(-1,CV_32FC1),
            Values((int)cv::INTER_NEAREST, (int)cv::INTER_LINEAR), 
            Values((int)cv::BORDER_CONSTANT)));

INSTANTIATE_TEST_CASE_P(histTestBase, calcHist, Combine(
                                                ONE_TYPE(CV_8UC1),
                                                ONE_TYPE(CV_32SC1) //no use
));

#endif // HAVE_OPENCL