mirror/opencv
1
0
Fork 0
mirror of https://github.com/opencv/opencv.git synced 2024-11-26 20:20:20 +08:00
Code Issues Actions Packages Projects Releases Wiki Activity
b1faa46d3a
opencv/modules/ocl/perf/perf_matrix_operation.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

739 lines
22 KiB
C++
Raw Blame History

/*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
// Jia Haipeng, jiahaipeng95@gmail.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;
using namespace cv::ocl;
////////////////////////////////converto/////////////////////////////////////////////////
PARAM_TEST_CASE(ConvertToTestBase, MatType, MatType)
{
int type;
int dst_type;
//src mat
cv::Mat mat;
cv::Mat dst;
// set up roi
int roicols;
int roirows;
int srcx;
int srcy;
int dstx;
int dsty;
//src mat with roi
cv::Mat mat_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 gmat;
cv::ocl::oclMat gdst;
virtual void SetUp()
{
type = GET_PARAM(0);
dst_type = GET_PARAM(1);
cv::RNG &rng = TS::ptr()->get_rng();
cv::Size size(MWIDTH, MHEIGHT);
mat = 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]);
//setBinpath(CLBINPATH);
}
void Has_roi(int b)
{
//cv::RNG& rng = TS::ptr()->get_rng();
if(b)
{
//randomize ROI
roicols = mat.cols - 1; //start
roirows = mat.rows - 1;
srcx = 1;
srcy = 1;
dstx = 1;
dsty = 1;
}
else
{
roicols = mat.cols;
roirows = mat.rows;
srcx = 0;
srcy = 0;
dstx = 0;
dsty = 0;
};
mat_roi = mat(Rect(srcx, srcy, roicols, roirows));
dst_roi = dst(Rect(dstx, dsty, roicols, roirows));
//gdst_whole = dst;
//gdst = gdst_whole(Rect(dstx,dsty,roicols,roirows));
//gmat = mat_roi;
}
};
struct ConvertTo : ConvertToTestBase {};
TEST_P(ConvertTo, Accuracy)
{
#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
mat_roi.convertTo(dst_roi, dst_type);
t0 = (double)cvGetTickCount() - t0;//cpu end
t1 = (double)cvGetTickCount();//gpu start1
gdst_whole = dst;
gdst = gdst_whole(Rect(dstx, dsty, roicols, roirows));
gmat = mat_roi;
t2 = (double)cvGetTickCount(); //kernel
gmat.convertTo(gdst, dst_type);
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, roicols, roirows));
gmat = mat_roi;
if(j == 0)
{
cout << "no roi:";
}
else
{
cout << "\nwith roi:";
};
gmat.convertTo(gdst, dst_type);
};
#endif
}
///////////////////////////////////////////copyto/////////////////////////////////////////////////////////////
PARAM_TEST_CASE(CopyToTestBase, MatType, bool)
{
int type;
cv::Mat mat;
cv::Mat mask;
cv::Mat dst;
// set up roi
int roicols;
int roirows;
int srcx;
int srcy;
int dstx;
int dsty;
int maskx;
int masky;
//src mat with roi
cv::Mat mat_roi;
cv::Mat mask_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 gmat;
cv::ocl::oclMat gdst;
cv::ocl::oclMat gmask;
virtual void SetUp()
{
type = GET_PARAM(0);
cv::RNG &rng = TS::ptr()->get_rng();
cv::Size size(MWIDTH, MHEIGHT);
mat = randomMat(rng, size, type, 5, 16, false);
dst = randomMat(rng, size, type, 5, 16, false);
mask = randomMat(rng, size, CV_8UC1, 0, 2, false);
cv::threshold(mask, mask, 0.5, 255., CV_8UC1);
//int devnums = getDevice(oclinfo);
//CV_Assert(devnums > 0);
////if you want to use undefault device, set it here
////setDevice(oclinfo[0]);
//setBinpath(CLBINPATH);
}
void Has_roi(int b)
{
//cv::RNG& rng = TS::ptr()->get_rng();
if(b)
{
//randomize ROI
roicols = mat.cols - 1; //start
roirows = mat.rows - 1;
srcx = 1;
srcy = 1;
dstx = 1;
dsty = 1;
maskx = 1;
masky = 1;
}
else
{
roicols = mat.cols;
roirows = mat.rows;
srcx = 0;
srcy = 0;
dstx = 0;
dsty = 0;
maskx = 0;
masky = 0;
};
mat_roi = mat(Rect(srcx, srcy, roicols, roirows));
mask_roi = mask(Rect(maskx, masky, roicols, roirows));
dst_roi = dst(Rect(dstx, dsty, roicols, roirows));
//gdst_whole = dst;
//gdst = gdst_whole(Rect(dstx,dsty,roicols,roirows));
//gmat = mat_roi;
//gmask = mask_roi;
}
};
struct CopyTo : CopyToTestBase {};
TEST_P(CopyTo, Without_mask)
{
#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
mat_roi.copyTo(dst_roi);
t0 = (double)cvGetTickCount() - t0;//cpu end
t1 = (double)cvGetTickCount();//gpu start1
gdst_whole = dst;
gdst = gdst_whole(Rect(dstx, dsty, roicols, roirows));
gmat = mat_roi;
t2 = (double)cvGetTickCount(); //kernel
gmat.copyTo(gdst);
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, roicols, roirows));
gmat = mat_roi;
if(j == 0)
{
cout << "no roi:";
}
else
{
cout << "\nwith roi:";
};
gmat.copyTo(gdst);
};
#endif
}
TEST_P(CopyTo, With_mask)
{
#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
mat_roi.copyTo(dst_roi, mask_roi);
t0 = (double)cvGetTickCount() - t0;//cpu end
t1 = (double)cvGetTickCount();//gpu start1
gdst_whole = dst;
gdst = gdst_whole(Rect(dstx, dsty, roicols, roirows));
gmat = mat_roi;
gmask = mask_roi;
t2 = (double)cvGetTickCount(); //kernel
gmat.copyTo(gdst, gmask);
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, roicols, roirows));
gmat = mat_roi;
gmask = mask_roi;
if(j == 0)
{
cout << "no roi:";
}
else
{
cout << "\nwith roi:";
};
gmat.copyTo(gdst, gmask);
};
#endif
}
///////////////////////////////////////////copyto/////////////////////////////////////////////////////////////
PARAM_TEST_CASE(SetToTestBase, MatType, bool)
{
int type;
cv::Scalar val;
cv::Mat mat;
cv::Mat mask;
// set up roi
int roicols;
int roirows;
int srcx;
int srcy;
int maskx;
int masky;
//src mat with roi
cv::Mat mat_roi;
cv::Mat mask_roi;
//std::vector<cv::ocl::Info> oclinfo;
//ocl dst mat for testing
cv::ocl::oclMat gmat_whole;
//ocl mat with roi
cv::ocl::oclMat gmat;
cv::ocl::oclMat gmask;
virtual void SetUp()
{
type = GET_PARAM(0);
cv::RNG &rng = TS::ptr()->get_rng();
cv::Size size(MWIDTH, MHEIGHT);
mat = randomMat(rng, size, type, 5, 16, false);
mask = randomMat(rng, size, CV_8UC1, 0, 2, false);
cv::threshold(mask, mask, 0.5, 255., CV_8UC1);
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));
//int devnums = getDevice(oclinfo);
//CV_Assert(devnums > 0);
////if you want to use undefault device, set it here
////setDevice(oclinfo[0]);
//setBinpath(CLBINPATH);
}
void Has_roi(int b)
{
//cv::RNG& rng = TS::ptr()->get_rng();
if(b)
{
//randomize ROI
roicols = mat.cols - 1; //start
roirows = mat.rows - 1;
srcx = 1;
srcy = 1;
maskx = 1;
masky = 1;
}
else
{
roicols = mat.cols;
roirows = mat.rows;
srcx = 0;
srcy = 0;
maskx = 0;
masky = 0;
};
mat_roi = mat(Rect(srcx, srcy, roicols, roirows));
mask_roi = mask(Rect(maskx, masky, roicols, roirows));
//gmat_whole = mat;
//gmat = gmat_whole(Rect(srcx,srcy,roicols,roirows));
//gmask = mask_roi;
}
};
struct SetTo : SetToTestBase {};
TEST_P(SetTo, Without_mask)
{
#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
mat_roi.setTo(val);
t0 = (double)cvGetTickCount() - t0;//cpu end
t1 = (double)cvGetTickCount();//gpu start1
gmat_whole = mat;
gmat = gmat_whole(Rect(srcx, srcy, roicols, roirows));
t2 = (double)cvGetTickCount(); //kernel
gmat.setTo(val);
t2 = (double)cvGetTickCount() - t2;//kernel
cv::Mat cpu_dst;
gmat_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);
gmat_whole = mat;
gmat = gmat_whole(Rect(srcx, srcy, roicols, roirows));
if(j == 0)
{
cout << "no roi:";
}
else
{
cout << "\nwith roi:";
};
gmat.setTo(val);
};
#endif
}
TEST_P(SetTo, With_mask)
{
#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
mat_roi.setTo(val, mask_roi);
t0 = (double)cvGetTickCount() - t0;//cpu end
t1 = (double)cvGetTickCount();//gpu start1
gmat_whole = mat;
gmat = gmat_whole(Rect(srcx, srcy, roicols, roirows));
gmask = mask_roi;
t2 = (double)cvGetTickCount(); //kernel
gmat.setTo(val, gmask);
t2 = (double)cvGetTickCount() - t2;//kernel
cv::Mat cpu_dst;
gmat_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);
gmat_whole = mat;
gmat = gmat_whole(Rect(srcx, srcy, roicols, roirows));
gmask = mask_roi;
if(j == 0)
{
cout << "no roi:";
}
else
{
cout << "\nwith roi:";
};
gmat.setTo(val, gmask);
};
#endif
}
PARAM_TEST_CASE(DataTransfer, MatType, bool)
{
int type;
cv::Mat mat;
cv::ocl::oclMat gmat_whole;
virtual void SetUp()
{
type = GET_PARAM(0);
cv::RNG &rng = TS::ptr()->get_rng();
cv::Size size(MWIDTH, MHEIGHT);
mat = randomMat(rng, size, type, 5, 16, false);
}
};
TEST_P(DataTransfer, perf)
{
double totaluploadtick = 0;
double totaldownloadtick = 0;
double totaltick = 0;
double t0 = 0;
double t1 = 0;
cv::Mat cpu_dst;
for(int j = 0; j < LOOP_TIMES + 1; j ++)
{
t0 = (double)cvGetTickCount();
gmat_whole.upload(mat);//upload
t0 = (double)cvGetTickCount() - t0;
t1 = (double)cvGetTickCount();
gmat_whole.download(cpu_dst);//download
t1 = (double)cvGetTickCount() - t1;
if(j == 0)
continue;
totaluploadtick = t0 + totaluploadtick;
totaldownloadtick = t1 + totaldownloadtick;
}
totaltick = totaluploadtick + totaldownloadtick;
cout << "average upload time is " << totaluploadtick / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
cout << "average download time is " << totaldownloadtick / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
cout << "average data transfer time is " << totaltick / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
}
//**********test************
INSTANTIATE_TEST_CASE_P(MatrixOperation, ConvertTo, Combine(
Values(CV_8UC1, CV_8UC4, CV_32FC1, CV_32FC4),
Values(CV_8UC1, CV_8UC4, CV_32FC1, CV_32FC4)));
INSTANTIATE_TEST_CASE_P(MatrixOperation, CopyTo, Combine(
Values(CV_8UC1, CV_8UC4, CV_32FC1, CV_32FC4),
Values(false))); // Values(false) is the reserved parameter
INSTANTIATE_TEST_CASE_P(MatrixOperation, SetTo, Combine(
Values(CV_8UC1, CV_8UC4, CV_32FC1, CV_32FC4),
Values(false))); // Values(false) is the reserved parameter
INSTANTIATE_TEST_CASE_P(MatrixOperation, DataTransfer, Combine(
Values(CV_8UC1, CV_8UC3, CV_8UC4, CV_32FC1, CV_32FC3, CV_32FC4),
Values(false))); // Values(false) is the reserved parameter
#endif
Reference in New Issue View Git Blame Copy Permalink