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a32004f90c
opencv/modules/ocl/perf/perf_imgproc.cpp
Niko 5df77a841e remove redundant OPENCL_DIR flag 
remove as much warnings as possible
use enum instead of MACRO for ocl.hpp
add command line parser in accuracy test and perf test
some bug fix for arthim functions
2012-10-22 15:14:22 +08:00

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/*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
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//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/*,cv::BORDER_REFLECT,cv::BORDER_WRAP,cv::BORDER_REFLECT_101*/};
const char *borderstr[] = {"BORDER_CONSTANT", "BORDER_REPLICATE"/*, "BORDER_REFLECT","BORDER_WRAP","BORDER_REFLECT_101"*/};
if (mat1.depth() != CV_8U || 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++)
{
cout << borderstr[i] << endl;
#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);
if(((bordertype[i] != cv::BORDER_CONSTANT) && (bordertype[i] != cv::BORDER_REPLICATE)) && (mat1_roi.cols <= radius) || (mat1_roi.cols <= radius) || (mat1_roi.rows <= radius) || (mat1_roi.rows <= radius))
{
continue;
}
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 < 1; k++) //don't support roi perf test
{
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"*/};
cout << borderstr[0] << endl;
#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(
Values(CV_8UC1, CV_8UC3),
NULL_TYPE,
Values(CV_8UC1, CV_8UC3),
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
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