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Commit 0fdb55a5 authored by yao's avatar yao
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update some of the functions in ocl module to the latest version

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modules/ocl/include/opencv2/ocl/ocl.hpp
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modules/ocl/perf/test_blend.cpp 0 → 100644
View file @ 0fdb55a5
/*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, Multicoreware, Inc., all rights reserved.
// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// @Authors
// Fangfang Bai, fangfang@multicorewareinc.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"
#include <iomanip>
#ifdef HAVE_OPENCL
using namespace cv;
using namespace cv::ocl;
using namespace cvtest;
using namespace testing;
using namespace std;
PARAM_TEST_CASE(Blend, MatType, int)
{
int type;
int channels;
std::vector<cv::ocl::Info> oclinfo;
virtual void SetUp()
{
type = GET_PARAM(0);
channels = GET_PARAM(1);
//int devnums = getDevice(oclinfo);
//CV_Assert(devnums > 0);
//cv::ocl::setBinpath(CLBINPATH);
}
};
TEST_P(Blend, Performance)
{
cv::Size size(MWIDTH, MHEIGHT);
cv::Mat img1_host = randomMat(size, CV_MAKETYPE(type, channels), 0, type == CV_8U ? 255.0 : 1.0);
cv::Mat img2_host = randomMat(size, CV_MAKETYPE(type, channels), 0, type == CV_8U ? 255.0 : 1.0);
cv::Mat weights1 = randomMat(size, CV_32F, 0, 1);
cv::Mat weights2 = randomMat(size, CV_32F, 0, 1);
cv::ocl::oclMat gimg1(size, CV_MAKETYPE(type, channels)), gimg2(size, CV_MAKETYPE(type, channels)), gweights1(size, CV_32F), gweights2(size, CV_32F);
cv::ocl::oclMat gdst(size, CV_MAKETYPE(type, channels));
double totalgputick_all = 0;
double totalgputick_kernel = 0;
double t1 = 0;
double t2 = 0;
for (int j = 0; j < LOOP_TIMES + 1; j ++) //LOOP_TIMES=100
{
t1 = (double)cvGetTickCount();
cv::ocl::oclMat gimg1 = cv::ocl::oclMat(img1_host);
cv::ocl::oclMat gimg2 = cv::ocl::oclMat(img2_host);
cv::ocl::oclMat gweights1 = cv::ocl::oclMat(weights1);
cv::ocl::oclMat gweights2 = cv::ocl::oclMat(weights1);
t2 = (double)cvGetTickCount();
cv::ocl::blendLinear(gimg1, gimg2, gweights1, gweights2, gdst);
t2 = (double)cvGetTickCount() - t2;
cv::Mat m;
gdst.download(m);
t1 = (double)cvGetTickCount() - t1;
if (j == 0)
{
continue;
}
totalgputick_all = t1 + totalgputick_all;
totalgputick_kernel = t2 + totalgputick_kernel;
};
cout << "average gpu total runtime is " << totalgputick_all / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
cout << "average gpu runtime without data transfering is " << totalgputick_kernel / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
}
INSTANTIATE_TEST_CASE_P(GPU_ImgProc, Blend, Combine(
Values(CV_8U, CV_32F), Values(1, 4)));
#endif
\ No newline at end of file
modules/ocl/perf/test_canny.cpp 0 → 100644
View file @ 0fdb55a5
/*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, Multicoreware, Inc., all rights reserved.
// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// @Authors
// Fangfang Bai, fangfang@multicorewareinc.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"
#include <iomanip>
#ifdef HAVE_OPENCL
using namespace cv;
using namespace cv::ocl;
using namespace cvtest;
using namespace testing;
using namespace std;
#define FILTER_IMAGE "../../../samples/gpu/road.png"
#ifndef MWC_TEST_UTILITY
#define MWC_TEST_UTILITY
// Param class
#ifndef IMPLEMENT_PARAM_CLASS
#define IMPLEMENT_PARAM_CLASS(name, type) \
class name \
{ \
public: \
name ( type arg = type ()) : val_(arg) {} \
operator type () const {return val_;} \
private: \
type val_; \
}; \
inline void PrintTo( name param, std::ostream* os) \
{ \
*os << #name << "(" << testing::PrintToString(static_cast< type >(param)) << ")"; \
}
IMPLEMENT_PARAM_CLASS(Channels, int)
#endif // IMPLEMENT_PARAM_CLASS
#endif // MWC_TEST_UTILITY
////////////////////////////////////////////////////////
// Canny1
IMPLEMENT_PARAM_CLASS(AppertureSize, int);
IMPLEMENT_PARAM_CLASS(L2gradient, bool);
PARAM_TEST_CASE(Canny1, AppertureSize, L2gradient)
{
int apperture_size;
bool useL2gradient;
//std::vector<cv::ocl::Info> oclinfo;
virtual void SetUp()
{
apperture_size = GET_PARAM(0);
useL2gradient = GET_PARAM(1);
//int devnums = getDevice(oclinfo);
//CV_Assert(devnums > 0);
}
};
TEST_P(Canny1, Performance)
{
cv::Mat img = readImage(FILTER_IMAGE,cv::IMREAD_GRAYSCALE);
ASSERT_FALSE(img.empty());
double low_thresh = 100.0;
double high_thresh = 150.0;
cv::Mat edges_gold;
cv::ocl::oclMat edges;
double totalgputick=0;
double totalgputick_kernel=0;
double t1=0;
double t2=0;
for(int j = 0; j < LOOP_TIMES+1; j ++)
{
t1 = (double)cvGetTickCount();//gpu start1
cv::ocl::oclMat ocl_img = cv::ocl::oclMat(img);//upload
t2=(double)cvGetTickCount();//kernel
cv::ocl::Canny(ocl_img, edges, low_thresh, high_thresh, apperture_size, useL2gradient);
t2 = (double)cvGetTickCount() - t2;//kernel
cv::Mat cpu_dst;
edges.download (cpu_dst);//download
t1 = (double)cvGetTickCount() - t1;//gpu end1
if(j == 0)
continue;
totalgputick=t1+totalgputick;
totalgputick_kernel=t2+totalgputick_kernel;
}
cout << "average gpu runtime is " << totalgputick/((double)cvGetTickFrequency()* LOOP_TIMES *1000.) << "ms" << endl;
cout << "average gpu runtime without data transfer is " << totalgputick_kernel/((double)cvGetTickFrequency()* LOOP_TIMES *1000.) << "ms" << endl;
}
INSTANTIATE_TEST_CASE_P(GPU_ImgProc, Canny1, testing::Combine(
testing::Values(AppertureSize(3), AppertureSize(5)),
testing::Values(L2gradient(false), L2gradient(true))));
#endif //Have opencl
\ No newline at end of file
modules/ocl/perf/test_columnsum.cpp 0 → 100644
View file @ 0fdb55a5
/*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, Multicoreware, Inc., all rights reserved.
// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// @Authors
// Fangfang Bai fangfang@multicorewareinc.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"
#include <iomanip>
using namespace cv;
using namespace cv::ocl;
using namespace cvtest;
using namespace testing;
using namespace std;
///////////////////////////////////////////////////////////////////////////////
/// ColumnSum
#ifdef HAVE_OPENCL
////////////////////////////////////////////////////////////////////////
// ColumnSum
PARAM_TEST_CASE(ColumnSum)
{
cv::Mat src;
//std::vector<cv::ocl::Info> oclinfo;
virtual void SetUp()
{
//int devnums = getDevice(oclinfo);
//CV_Assert(devnums > 0);
}
};
TEST_F(ColumnSum, Performance)
{
cv::Size size(MWIDTH,MHEIGHT);
cv::Mat src = randomMat(size, CV_32FC1);
cv::ocl::oclMat d_dst;
double totalgputick=0;
double totalgputick_kernel=0;
double t1=0;
double t2=0;
for(int j = 0; j < LOOP_TIMES+1; j ++)
{
t1 = (double)cvGetTickCount();//gpu start1
cv::ocl::oclMat d_src(src);
t2=(double)cvGetTickCount();//kernel
cv::ocl::columnSum(d_src,d_dst);
t2 = (double)cvGetTickCount() - t2;//kernel
cv::Mat cpu_dst;
d_dst.download (cpu_dst);//download
t1 = (double)cvGetTickCount() - t1;//gpu end1
if(j == 0)
continue;
totalgputick=t1+totalgputick;
totalgputick_kernel=t2+totalgputick_kernel;
}
cout << "average gpu runtime is " << totalgputick/((double)cvGetTickFrequency()* LOOP_TIMES *1000.) << "ms" << endl;
cout << "average gpu runtime without data transfer is " << totalgputick_kernel/((double)cvGetTickFrequency()* LOOP_TIMES *1000.) << "ms" << endl;
}
#endif
\ No newline at end of file
modules/ocl/perf/test_fft.cpp 0 → 100644
View file @ 0fdb55a5
/*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, Multicoreware, Inc., all rights reserved.
// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// @Authors
// Fangfangbai, fangfang@multicorewareinc.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"
using namespace std;
#ifdef HAVE_CLAMDFFT
////////////////////////////////////////////////////////////////////////////
// Dft
PARAM_TEST_CASE(Dft, cv::Size, bool)
{
cv::Size dft_size;
bool dft_rows;
vector<cv::ocl::Info> info;
virtual void SetUp()
{
dft_size = GET_PARAM(0);
dft_rows = GET_PARAM(1);
cv::ocl::getDevice(info);
}
};
TEST_P(Dft, C2C)
{
cv::Mat a = randomMat(dft_size, CV_32FC2, 0.0, 10.0);
int flags = 0;
flags |= dft_rows ? cv::DFT_ROWS : 0;
cv::ocl::oclMat d_b;
double totalgputick=0;
double totalgputick_kernel=0;
double t1=0;
double t2=0;
for(int j = 0; j < LOOP_TIMES+1; j ++)
{
t1 = (double)cvGetTickCount();//gpu start1
cv::ocl::oclMat ga=cv::ocl::oclMat(a);//upload
t2=(double)cvGetTickCount();//kernel
cv::ocl::dft(ga, d_b, a.size(), flags);
t2 = (double)cvGetTickCount() - t2;//kernel
cv::Mat cpu_dst;
d_b.download (cpu_dst);//download
t1 = (double)cvGetTickCount() - t1;//gpu end1
if(j == 0)
continue;
totalgputick=t1+totalgputick;
totalgputick_kernel=t2+totalgputick_kernel;
}
cout << "average gpu runtime is " << totalgputick/((double)cvGetTickFrequency()* LOOP_TIMES *1000.) << "ms" << endl;
cout << "average gpu runtime without data transfer is " << totalgputick_kernel/((double)cvGetTickFrequency()* LOOP_TIMES *1000.) << "ms" << endl;
}
TEST_P(Dft, R2CthenC2R)
{
cv::Mat a = randomMat(dft_size, CV_32FC1, 0.0, 10.0);
int flags = 0;
//flags |= dft_rows ? cv::DFT_ROWS : 0; // not supported yet
cv::ocl::oclMat d_b, d_c;
cv::ocl::dft(cv::ocl::oclMat(a), d_b, a.size(), flags);
cv::ocl::dft(d_b, d_c, a.size(), flags + cv::DFT_INVERSE + cv::DFT_REAL_OUTPUT);
EXPECT_MAT_NEAR(a, d_c, a.size().area() * 1e-4, "");
}
//INSTANTIATE_TEST_CASE_P(ocl_DFT, Dft, testing::Combine(
// testing::Values(cv::Size(1280, 1024), cv::Size(1920, 1080),cv::Size(1800, 1500)),
// testing::Values(false, true)));
#endif // HAVE_CLAMDFFT
modules/ocl/perf/test_gemm.cpp 0 → 100644
View file @ 0fdb55a5
/*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, Multicoreware, Inc., all rights reserved.
// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// @Authors
// Fangfang Bai, fangfang@multicorewareinc.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"
using namespace std;
#ifdef HAVE_CLAMDBLAS
////////////////////////////////////////////////////////////////////////////
// GEMM
PARAM_TEST_CASE(Gemm, int, cv::Size, int)
{
int type;
cv::Size mat_size;
int flags;
vector<cv::ocl::Info> info;
virtual void SetUp()
{
type = GET_PARAM(0);
mat_size = GET_PARAM(1);
flags = GET_PARAM(2);
cv::ocl::getDevice(info);
}
};
TEST_P(Gemm, Performance)
{
cv::Mat a = randomMat(mat_size, type, 0.0, 10.0);
cv::Mat b = randomMat(mat_size, type, 0.0, 10.0);
cv::Mat c = randomMat(mat_size, type, 0.0, 10.0);
cv::ocl::oclMat ocl_dst;
double totalgputick=0;
double totalgputick_kernel=0;
double t1=0;
double t2=0;
for(int j = 0; j < LOOP_TIMES+1; j ++)
{
t1 = (double)cvGetTickCount();//gpu start1
cv::ocl::oclMat ga = cv::ocl::oclMat(a);//upload
cv::ocl::oclMat gb = cv::ocl::oclMat(b);//upload
cv::ocl::oclMat gc = cv::ocl::oclMat(c);//upload
t2=(double)cvGetTickCount();//kernel
cv::ocl::gemm(ga, gb, 1.0,gc, 1.0, ocl_dst, flags);
t2 = (double)cvGetTickCount() - t2;//kernel
cv::Mat cpu_dst;
ocl_dst.download (cpu_dst);//download
t1 = (double)cvGetTickCount() - t1;//gpu end
if(j == 0)
continue;
totalgputick=t1+totalgputick;
totalgputick_kernel=t2+totalgputick_kernel;
}
cout << "average gpu runtime is " << totalgputick/((double)cvGetTickFrequency()* LOOP_TIMES *1000.) << "ms" << endl;
cout << "average gpu runtime without data transfer is " << totalgputick_kernel/((double)cvGetTickFrequency()* LOOP_TIMES *1000.) << "ms" << endl;
}
INSTANTIATE_TEST_CASE_P(ocl_gemm, Gemm, testing::Combine(
testing::Values(CV_32FC1, CV_32FC2/* , CV_64FC1, CV_64FC2*/),
testing::Values(cv::Size(512, 512), cv::Size(1024, 1024)),
testing::Values(0, cv::GEMM_1_T, cv::GEMM_2_T, cv::GEMM_1_T + cv::GEMM_2_T)));
#endif
\ No newline at end of file
modules/ocl/perf/test_hog.cpp 0 → 100644
View file @ 0fdb55a5
/*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.
//
//
// Intel License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// @Authors
// Fangfang BAI, fangfang@multicorewareinc.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 materials provided with the distribution.
//
// * The name of Intel Corporation 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"
#include "opencv2/core/core.hpp"
#include <iomanip>
using namespace std;
#ifdef HAVE_OPENCL
PARAM_TEST_CASE(HOG,cv::Size,int)
{
cv::Size winSize;
int type;
std::vector<cv::ocl::Info> oclinfo;
virtual void SetUp()
{
winSize = GET_PARAM(0);
type = GET_PARAM(1);
int devnums = getDevice(oclinfo);
CV_Assert(devnums > 0);
}
};
TEST_P(HOG, GetDescriptors)
{
// Load image
cv::Mat img_rgb = readImage("D:road.png");
ASSERT_FALSE(img_rgb.empty());
// Convert image
cv::Mat img;
switch (type)
{
case CV_8UC1:
cv::cvtColor(img_rgb, img, CV_BGR2GRAY);
break;
case CV_8UC4:
default:
cv::cvtColor(img_rgb, img, CV_BGR2BGRA);
break;
}
// HOGs
cv::ocl::HOGDescriptor ocl_hog;
ocl_hog.gamma_correction = true;
// Compute descriptor
cv::ocl::oclMat d_descriptors;
//down_descriptors = down_descriptors.reshape(0, down_descriptors.cols * down_descriptors.rows);
double totalgputick=0;
double totalgputick_kernel=0;
double t1=0;
double t2=0;
for(int j = 0; j < LOOP_TIMES+1; j ++)
{
t1 = (double)cvGetTickCount();//gpu start1
cv::ocl::oclMat d_img=cv::ocl::oclMat(img);//upload
t2=(double)cvGetTickCount();//kernel
ocl_hog.getDescriptors(d_img, ocl_hog.win_size, d_descriptors, ocl_hog.DESCR_FORMAT_COL_BY_COL);
t2 = (double)cvGetTickCount() - t2;//kernel
cv::Mat down_descriptors;
d_descriptors.download(down_descriptors);
t1 = (double)cvGetTickCount() - t1;//gpu end1
if(j == 0)
continue;
totalgputick=t1+totalgputick;
totalgputick_kernel=t2+totalgputick_kernel;
}
cout << "average gpu runtime is " << totalgputick/((double)cvGetTickFrequency()* LOOP_TIMES *1000.) << "ms" << endl;
cout << "average gpu runtime without data transfer is " << totalgputick_kernel/((double)cvGetTickFrequency()* LOOP_TIMES *1000.) << "ms" << endl;
}
TEST_P(HOG, Detect)
{
// Load image
cv::Mat img_rgb = readImage("D:road.png");
ASSERT_FALSE(img_rgb.empty());
// Convert image
cv::Mat img;
switch (type)
{
case CV_8UC1:
cv::cvtColor(img_rgb, img, CV_BGR2GRAY);
break;
case CV_8UC4:
default:
cv::cvtColor(img_rgb, img, CV_BGR2BGRA);
break;
}
// HOGs
if ((winSize != cv::Size(48, 96)) && (winSize != cv::Size(64, 128)))
winSize = cv::Size(64, 128);
cv::ocl::HOGDescriptor ocl_hog(winSize);
ocl_hog.gamma_correction = true;
cv::HOGDescriptor hog;
hog.winSize = winSize;
hog.gammaCorrection = true;
if (winSize.width == 48 && winSize.height == 96)
{
// daimler's base
ocl_hog.setSVMDetector(ocl_hog.getPeopleDetector48x96());
hog.setSVMDetector(hog.getDaimlerPeopleDetector());
}
else if (winSize.width == 64 && winSize.height == 128)
{
ocl_hog.setSVMDetector(ocl_hog.getPeopleDetector64x128());
hog.setSVMDetector(hog.getDefaultPeopleDetector());
}
else
{
ocl_hog.setSVMDetector(ocl_hog.getDefaultPeopleDetector());
hog.setSVMDetector(hog.getDefaultPeopleDetector());
}
// OpenCL detection
std::vector<cv::Point> d_v_locations;
double totalgputick=0;
double totalgputick_kernel=0;
double t1=0;
double t2=0;
for(int j = 0; j < LOOP_TIMES+1; j ++)
{
t1 = (double)cvGetTickCount();//gpu start1
cv::ocl::oclMat d_img=cv::ocl::oclMat(img);//upload
t2=(double)cvGetTickCount();//kernel
ocl_hog.detect(d_img, d_v_locations, 0);
t2 = (double)cvGetTickCount() - t2;//kernel
t1 = (double)cvGetTickCount() - t1;//gpu end1
if(j == 0)
continue;
totalgputick=t1+totalgputick;
totalgputick_kernel=t2+totalgputick_kernel;
}
cout << "average gpu runtime is " << totalgputick/((double)cvGetTickFrequency()* LOOP_TIMES *1000.) << "ms" << endl;
cout << "average gpu runtime without data transfer is " << totalgputick_kernel/((double)cvGetTickFrequency()* LOOP_TIMES *1000.) << "ms" << endl;
}
INSTANTIATE_TEST_CASE_P(OCL_ObjDetect, HOG, testing::Combine(
testing::Values(cv::Size(64, 128), cv::Size(48, 96)),
testing::Values(MatType(CV_8UC1), MatType(CV_8UC4))));
#endif //HAVE_OPENCL
modules/ocl/perf/test_match_template.cpp 0 → 100644
View file @ 0fdb55a5
/*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, Multicoreware, Inc., all rights reserved.
// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// @Authors
// Fangfang Bai, fangfang@multicorewareinc.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"
#include <iomanip>
#ifdef HAVE_OPENCL
using namespace cv;
using namespace cv::ocl;
using namespace cvtest;
using namespace testing;
using namespace std;
#ifndef MWC_TEST_UTILITY
#define MWC_TEST_UTILITY
//////// Utility
#ifndef DIFFERENT_SIZES
#else
#undef DIFFERENT_SIZES
#endif
#define DIFFERENT_SIZES testing::Values(cv::Size(256, 256), cv::Size(3000, 3000))
// Param class
#ifndef IMPLEMENT_PARAM_CLASS
#define IMPLEMENT_PARAM_CLASS(name, type) \
class name \
{ \
public: \
name ( type arg = type ()) : val_(arg) {} \
operator type () const {return val_;} \
private: \
type val_; \
}; \
inline void PrintTo( name param, std::ostream* os) \
{ \
*os << #name << "(" << testing::PrintToString(static_cast< type >(param)) << ")"; \
}
IMPLEMENT_PARAM_CLASS(Channels, int)
#endif // IMPLEMENT_PARAM_CLASS
#endif // MWC_TEST_UTILITY
////////////////////////////////////////////////////////////////////////////////
// MatchTemplate
#define ALL_TEMPLATE_METHODS testing::Values(TemplateMethod(cv::TM_SQDIFF), TemplateMethod(cv::TM_CCORR), TemplateMethod(cv::TM_CCOEFF), TemplateMethod(cv::TM_SQDIFF_NORMED), TemplateMethod(cv::TM_CCORR_NORMED), TemplateMethod(cv::TM_CCOEFF_NORMED))
IMPLEMENT_PARAM_CLASS(TemplateSize, cv::Size);
const char* TEMPLATE_METHOD_NAMES[6] = {"TM_SQDIFF", "TM_SQDIFF_NORMED", "TM_CCORR", "TM_CCORR_NORMED", "TM_CCOEFF", "TM_CCOEFF_NORMED"};
PARAM_TEST_CASE(MatchTemplate, cv::Size, TemplateSize, Channels, TemplateMethod)
{
cv::Size size;
cv::Size templ_size;
int cn;
int method;
//vector<cv::ocl::Info> oclinfo;
virtual void SetUp()
{
size = GET_PARAM(0);
templ_size = GET_PARAM(1);
cn = GET_PARAM(2);
method = GET_PARAM(3);
//int devnums = getDevice(oclinfo);
//CV_Assert(devnums > 0);
}
};
struct MatchTemplate8U : MatchTemplate {};
TEST_P(MatchTemplate8U, Performance)
{
std::cout << "Method: " << TEMPLATE_METHOD_NAMES[method] << std::endl;
std::cout << "Image Size: (" << size.width << ", " << size.height << ")"<< std::endl;
std::cout << "Template Size: (" << templ_size.width << ", " << templ_size.height << ")"<< std::endl;
std::cout << "Channels: " << cn << std::endl;
cv::Mat image = randomMat(size, CV_MAKETYPE(CV_8U, cn));
cv::Mat templ = randomMat(templ_size, CV_MAKETYPE(CV_8U, cn));
cv::Mat dst_gold;
cv::ocl::oclMat dst;
double totalgputick=0;
double totalgputick_kernel=0;
double t1=0;
double t2=0;
for(int j = 0; j < LOOP_TIMES+1; j ++)
{
t1 = (double)cvGetTickCount();//gpu start1
cv::ocl::oclMat ocl_image = cv::ocl::oclMat(image);//upload
cv::ocl::oclMat ocl_templ = cv::ocl::oclMat(templ);//upload
t2=(double)cvGetTickCount();//kernel
cv::ocl::matchTemplate(ocl_image, ocl_templ, dst, method);
t2 = (double)cvGetTickCount() - t2;//kernel
cv::Mat cpu_dst;
dst.download (cpu_dst);//download
t1 = (double)cvGetTickCount() - t1;//gpu end1
if(j == 0)
continue;
totalgputick=t1+totalgputick;
totalgputick_kernel=t2+totalgputick_kernel;
}
cout << "average gpu runtime is " << totalgputick/((double)cvGetTickFrequency()* LOOP_TIMES *1000.) << "ms" << endl;
cout << "average gpu runtime without data transfer is " << totalgputick_kernel/((double)cvGetTickFrequency()* LOOP_TIMES *1000.) << "ms" << endl;
}
struct MatchTemplate32F : MatchTemplate {};
TEST_P(MatchTemplate32F, Performance)
{
std::cout << "Method: " << TEMPLATE_METHOD_NAMES[method] << std::endl;
std::cout << "Image Size: (" << size.width << ", " << size.height << ")"<< std::endl;
std::cout << "Template Size: (" << templ_size.width << ", " << templ_size.height << ")"<< std::endl;
std::cout << "Channels: " << cn << std::endl;
cv::Mat image = randomMat(size, CV_MAKETYPE(CV_32F, cn));
cv::Mat templ = randomMat(templ_size, CV_MAKETYPE(CV_32F, cn));
cv::Mat dst_gold;
cv::ocl::oclMat dst;
double totalgputick=0;
double totalgputick_kernel=0;
double t1=0;
double t2=0;
for(int j = 0; j < LOOP_TIMES; j ++)
{
t1 = (double)cvGetTickCount();//gpu start1
cv::ocl::oclMat ocl_image = cv::ocl::oclMat(image);//upload
cv::ocl::oclMat ocl_templ = cv::ocl::oclMat(templ);//upload
t2=(double)cvGetTickCount();//kernel
cv::ocl::matchTemplate(ocl_image, ocl_templ, dst, method);
t2 = (double)cvGetTickCount() - t2;//kernel
cv::Mat cpu_dst;
dst.download (cpu_dst);//download
t1 = (double)cvGetTickCount() - t1;//gpu end1
totalgputick=t1+totalgputick;
totalgputick_kernel=t2+totalgputick_kernel;
}
cout << "average gpu runtime is " << totalgputick/((double)cvGetTickFrequency()* LOOP_TIMES *1000.) << "ms" << endl;
cout << "average gpu runtime without data transfer is " << totalgputick_kernel/((double)cvGetTickFrequency()* LOOP_TIMES *1000.) << "ms" << endl;
}
INSTANTIATE_TEST_CASE_P(GPU_ImgProc, MatchTemplate8U,
testing::Combine(
testing::Values(cv::Size(1280, 1024), cv::Size(MWIDTH, MHEIGHT),cv::Size(1800, 1500)),
testing::Values(TemplateSize(cv::Size(5, 5)), TemplateSize(cv::Size(16, 16))/*, TemplateSize(cv::Size(30, 30))*/),
testing::Values(Channels(1), Channels(4)/*, Channels(3)*/),
ALL_TEMPLATE_METHODS
)
);
INSTANTIATE_TEST_CASE_P(GPU_ImgProc, MatchTemplate32F, testing::Combine(
testing::Values(cv::Size(1280, 1024), cv::Size(MWIDTH, MHEIGHT),cv::Size(1800, 1500)),
testing::Values(TemplateSize(cv::Size(5, 5)), TemplateSize(cv::Size(16, 16))/*, TemplateSize(cv::Size(30, 30))*/),
testing::Values(Channels(1), Channels(4) /*, Channels(3)*/),
testing::Values(TemplateMethod(cv::TM_SQDIFF), TemplateMethod(cv::TM_CCORR))));
#endif //HAVE_OPENCL
\ No newline at end of file
modules/ocl/perf/test_pyrdown.cpp 0 → 100644
View file @ 0fdb55a5
///////////////////////////////////////////////////////////////////////////////////////
//
// 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, Multicoreware, Inc., all rights reserved.
// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// @Authors
// fangfang bai, fangfang@multicorewareinc.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"
#include <iomanip>
#ifdef HAVE_OPENCL
using namespace cv;
using namespace cv::ocl;
using namespace cvtest;
using namespace testing;
using namespace std;
PARAM_TEST_CASE(PyrDown, MatType, int)
{
int type;
int channels;
//src mat
cv::Mat mat1;
cv::Mat dst;
//std::vector<cv::ocl::Info> oclinfo;
//ocl dst mat for testing
cv::ocl::oclMat gmat1;
cv::ocl::oclMat gdst;
virtual void SetUp()
{
type = GET_PARAM(0);
channels = GET_PARAM(1);
//int devnums = getDevice(oclinfo);
//CV_Assert(devnums > 0);
}
};
#define VARNAME(A) string(#A);
////////////////////////////////PyrDown/////////////////////////////////////////////////
TEST_P(PyrDown, Mat)
{
cv::Size size(MWIDTH, MHEIGHT);
cv::RNG &rng = TS::ptr()->get_rng();
mat1 = randomMat(rng, size, CV_MAKETYPE(type, channels), 5, 16, false);
cv::ocl::oclMat gdst;
double totalgputick = 0;
double totalgputick_kernel = 0;
double t1 = 0;
double t2 = 0;
for (int j = 0; j < LOOP_TIMES + 1; j ++)
{
t1 = (double)cvGetTickCount();//gpu start1
cv::ocl::oclMat gmat1(mat1);
t2 = (double)cvGetTickCount(); //kernel
cv::ocl::pyrDown(gmat1, gdst);
t2 = (double)cvGetTickCount() - t2;//kernel
cv::Mat cpu_dst;
gdst.download(cpu_dst);
t1 = (double)cvGetTickCount() - t1;//gpu end1
if (j == 0)
{
continue;
}
totalgputick = t1 + totalgputick;
totalgputick_kernel = t2 + totalgputick_kernel;
}
cout << "average gpu runtime is " << totalgputick / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
cout << "average gpu runtime without data transfer is " << totalgputick_kernel / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
}
//********test****************
INSTANTIATE_TEST_CASE_P(GPU_ImgProc, PyrDown, Combine(
Values(CV_8U, CV_32F), Values(1, 4)));
#endif // HAVE_OPENCL
modules/ocl/perf/test_pyrup.cpp 0 → 100644
View file @ 0fdb55a5
/*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, Multicoreware, Inc., all rights reserved.
// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// @Authors
// fangfang bai fangfang@multicorewareinc.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 "opencv2/core/core.hpp"
#include "precomp.hpp"
#include <iomanip>
#ifdef HAVE_OPENCL
using namespace cv;
using namespace cv::ocl;
using namespace cvtest;
using namespace testing;
using namespace std;
PARAM_TEST_CASE(PyrUp, MatType, int)
{
int type;
int channels;
//std::vector<cv::ocl::Info> oclinfo;
virtual void SetUp()
{
type = GET_PARAM(0);
channels = GET_PARAM(1);
//int devnums = getDevice(oclinfo);
//CV_Assert(devnums > 0);
}
};
TEST_P(PyrUp, Performance)
{
cv::Size size(MWIDTH, MHEIGHT);
cv::Mat src = randomMat(size, CV_MAKETYPE(type, channels));
cv::Mat dst_gold;
cv::ocl::oclMat dst;
double totalgputick = 0;
double totalgputick_kernel = 0;
double t1 = 0;
double t2 = 0;
for (int j = 0; j < LOOP_TIMES + 1; j ++)
{
t1 = (double)cvGetTickCount();//gpu start1
cv::ocl::oclMat srcMat = cv::ocl::oclMat(src);//upload
t2 = (double)cvGetTickCount(); //kernel
cv::ocl::pyrUp(srcMat, dst);
t2 = (double)cvGetTickCount() - t2;//kernel
cv::Mat cpu_dst;
dst.download(cpu_dst); //download
t1 = (double)cvGetTickCount() - t1;//gpu end1
if (j == 0)
{
continue;
}
totalgputick = t1 + totalgputick;
totalgputick_kernel = t2 + totalgputick_kernel;
}
cout << "average gpu runtime is " << totalgputick / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
cout << "average gpu runtime without data transfer is " << totalgputick_kernel / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
}
INSTANTIATE_TEST_CASE_P(GPU_ImgProc, PyrUp, Combine(
Values(CV_8U, CV_32F), Values(1, 4)));
#endif // HAVE_OPENCL
\ No newline at end of file
modules/ocl/src/canny.cpp
View file @ 0fdb55a5
This diff is collapsed.
modules/ocl/src/columnsum.cpp
View file @ 0fdb55a5
...@@ -67,7 +67,9 @@ namespace cv ...@@ -67,7 +67,9 @@ namespace cv
void cv::ocl::columnSum(const oclMat& src,oclMat& dst) void cv::ocl::columnSum(const oclMat& src,oclMat& dst)
{ {
CV_Assert(src.type() == CV_32FC1 && dst.type() == CV_32FC1 && src.size() == dst.size()); CV_Assert(src.type() == CV_32FC1);
dst.create(src.size(), src.type());
Context *clCxt = src.clCxt; Context *clCxt = src.clCxt;
......
modules/ocl/src/hog.cpp
View file @ 0fdb55a5
This diff is collapsed.
modules/ocl/src/kernels/blend_linear.cl
View file @ 0fdb55a5
...@@ -67,32 +67,6 @@ __kernel void BlendLinear_C1_D0( ...@@ -67,32 +67,6 @@ __kernel void BlendLinear_C1_D0(
} }
} }
__kernel void BlendLinear_C3_D0(
__global uchar *dst,
__global uchar *img1,
__global uchar *img2,
__global float *weight1,
__global float *weight2,
int rows,
int cols,
int istep,
int wstep
)
{
int idx = get_global_id(0);
int idy = get_global_id(1);
int x = idx / 3;
int y = idy;
if (x < cols && y < rows)
{
int pos = idy * istep + idx;
int wpos = idy * (wstep /sizeof(float)) + x;
float w1 = weight1[wpos];
float w2 = weight2[wpos];
dst[pos] = (img1[pos] * w1 + img2[pos] * w2) / (w1 + w2 + 1e-5f);
}
}
__kernel void BlendLinear_C4_D0( __kernel void BlendLinear_C4_D0(
__global uchar *dst, __global uchar *dst,
__global uchar *img1, __global uchar *img1,
...@@ -143,32 +117,6 @@ __kernel void BlendLinear_C1_D5( ...@@ -143,32 +117,6 @@ __kernel void BlendLinear_C1_D5(
} }
} }
__kernel void BlendLinear_C3_D5(
__global float *dst,
__global float *img1,
__global float *img2,
__global float *weight1,
__global float *weight2,
int rows,
int cols,
int istep,
int wstep
)
{
int idx = get_global_id(0);
int idy = get_global_id(1);
int x = idx / 3;
int y = idy;
if (x < cols && y < rows)
{
int pos = idy * (istep / sizeof(float)) + idx;
int wpos = idy * (wstep /sizeof(float)) + x;
float w1 = weight1[wpos];
float w2 = weight2[wpos];
dst[pos] = (img1[pos] * w1 + img2[pos] * w2) / (w1 + w2 + 1e-5f);
}
}
__kernel void BlendLinear_C4_D5( __kernel void BlendLinear_C4_D5(
__global float *dst, __global float *dst,
__global float *img1, __global float *img1,
...@@ -194,3 +142,4 @@ __kernel void BlendLinear_C4_D5( ...@@ -194,3 +142,4 @@ __kernel void BlendLinear_C4_D5(
dst[pos] = (img1[pos] * w1 + img2[pos] * w2) / (w1 + w2 + 1e-5f); dst[pos] = (img1[pos] * w1 + img2[pos] * w2) / (w1 + w2 + 1e-5f);
} }
} }
modules/ocl/src/kernels/imgproc_canny.cl
View file @ 0fdb55a5
This diff is collapsed.
modules/ocl/src/kernels/nonfree_surf.cl
View file @ 0fdb55a5
...@@ -58,17 +58,9 @@ ...@@ -58,17 +58,9 @@
// Image read mode // Image read mode
__constant sampler_t sampler = CLK_NORMALIZED_COORDS_FALSE | CLK_ADDRESS_CLAMP_TO_EDGE | CLK_FILTER_NEAREST; __constant sampler_t sampler = CLK_NORMALIZED_COORDS_FALSE | CLK_ADDRESS_CLAMP_TO_EDGE | CLK_FILTER_NEAREST;
#define FLT_EPSILON (1e-15)
#define CV_PI_F 3.14159265f #define CV_PI_F 3.14159265f
// print greyscale image to show image layout
__kernel void printImage(image2d_t img)
{
printf("(%d, %d) - %3d \n",
get_global_id(0),
get_global_id(1),
read_imageui(img, (int2)(get_global_id(0), get_global_id(1))).x
);
}
// Use integral image to calculate haar wavelets. // Use integral image to calculate haar wavelets.
// N = 2 // N = 2
...@@ -444,7 +436,6 @@ __kernel ...@@ -444,7 +436,6 @@ __kernel
float val0 = N9[localLin]; float val0 = N9[localLin];
if (val0 > c_hessianThreshold) if (val0 > c_hessianThreshold)
{ {
//printf(\"(%3d, %3d) N9[%3d]=%7.1f val0=%7.1f\\n\", l_x, l_y, localLin - zoff, N9[localLin], val0);
// Coordinates for the start of the wavelet in the sum image. There // Coordinates for the start of the wavelet in the sum image. There
// is some integer division involved, so don't try to simplify this // is some integer division involved, so don't try to simplify this
// (cancel out sampleStep) without checking the result is the same // (cancel out sampleStep) without checking the result is the same
...@@ -726,6 +717,7 @@ __kernel ...@@ -726,6 +717,7 @@ __kernel
__global float* featureSize = keypoints + SIZE_ROW * keypoints_step; __global float* featureSize = keypoints + SIZE_ROW * keypoints_step;
__global float* featureDir = keypoints + ANGLE_ROW * keypoints_step; __global float* featureDir = keypoints + ANGLE_ROW * keypoints_step;
volatile __local float s_X[128]; volatile __local float s_X[128];
volatile __local float s_Y[128]; volatile __local float s_Y[128];
volatile __local float s_angle[128]; volatile __local float s_angle[128];
...@@ -737,6 +729,7 @@ __kernel ...@@ -737,6 +729,7 @@ __kernel
and building the keypoint descriptor are defined relative to 's' */ and building the keypoint descriptor are defined relative to 's' */
const float s = featureSize[get_group_id(0)] * 1.2f / 9.0f; const float s = featureSize[get_group_id(0)] * 1.2f / 9.0f;
/* To find the dominant orientation, the gradients in x and y are /* To find the dominant orientation, the gradients in x and y are
sampled in a circle of radius 6s using wavelets of size 4s. sampled in a circle of radius 6s using wavelets of size 4s.
We ensure the gradient wavelet size is even to ensure the We ensure the gradient wavelet size is even to ensure the
...@@ -765,16 +758,18 @@ __kernel ...@@ -765,16 +758,18 @@ __kernel
Y = c_aptW[tid] * icvCalcHaarPatternSum_2(sumTex, c_NY, 4, grad_wav_size, y, x); Y = c_aptW[tid] * icvCalcHaarPatternSum_2(sumTex, c_NY, 4, grad_wav_size, y, x);
angle = atan2(Y, X); angle = atan2(Y, X);
if (angle < 0) if (angle < 0)
angle += 2.0f * CV_PI_F; angle += 2.0f * CV_PI_F;
angle *= 180.0f / CV_PI_F; angle *= 180.0f / CV_PI_F;
} }
} }
s_X[tid] = X; s_X[tid] = X;
s_Y[tid] = Y; s_Y[tid] = Y;
s_angle[tid] = angle; s_angle[tid] = angle;
barrier(CLK_LOCAL_MEM_FENCE); barrier(CLK_LOCAL_MEM_FENCE);
float bestx = 0, besty = 0, best_mod = 0; float bestx = 0, besty = 0, best_mod = 0;
#pragma unroll #pragma unroll
...@@ -807,7 +802,6 @@ __kernel ...@@ -807,7 +802,6 @@ __kernel
sumx += s_X[get_local_id(0) + 96]; sumx += s_X[get_local_id(0) + 96];
sumy += s_Y[get_local_id(0) + 96]; sumy += s_Y[get_local_id(0) + 96];
} }
reduce_32_sum(s_sumx + get_local_id(1) * 32, sumx, get_local_id(0)); reduce_32_sum(s_sumx + get_local_id(1) * 32, sumx, get_local_id(0));
reduce_32_sum(s_sumy + get_local_id(1) * 32, sumy, get_local_id(0)); reduce_32_sum(s_sumy + get_local_id(1) * 32, sumy, get_local_id(0));
...@@ -818,10 +812,8 @@ __kernel ...@@ -818,10 +812,8 @@ __kernel
bestx = sumx; bestx = sumx;
besty = sumy; besty = sumy;
} }
barrier(CLK_LOCAL_MEM_FENCE); barrier(CLK_LOCAL_MEM_FENCE);
} }
if (get_local_id(0) == 0) if (get_local_id(0) == 0)
{ {
s_X[get_local_id(1)] = bestx; s_X[get_local_id(1)] = bestx;
...@@ -846,6 +838,10 @@ __kernel ...@@ -846,6 +838,10 @@ __kernel
kp_dir += 2.0f * CV_PI_F; kp_dir += 2.0f * CV_PI_F;
kp_dir *= 180.0f / CV_PI_F; kp_dir *= 180.0f / CV_PI_F;
kp_dir = 360.0f - kp_dir;
if (fabs(kp_dir - 360.f) < FLT_EPSILON)
kp_dir = 0.f;
featureDir[get_group_id(0)] = kp_dir; featureDir[get_group_id(0)] = kp_dir;
} }
} }
...@@ -940,7 +936,10 @@ void calc_dx_dy( ...@@ -940,7 +936,10 @@ void calc_dx_dy(
const float centerX = featureX[get_group_id(0)]; const float centerX = featureX[get_group_id(0)];
const float centerY = featureY[get_group_id(0)]; const float centerY = featureY[get_group_id(0)];
const float size = featureSize[get_group_id(0)]; const float size = featureSize[get_group_id(0)];
const float descriptor_dir = featureDir[get_group_id(0)] * (float)(CV_PI_F / 180.0f); float descriptor_dir = 360.0f - featureDir[get_group_id(0)];
if (fabs(descriptor_dir - 360.f) < FLT_EPSILON)
descriptor_dir = 0.f;
descriptor_dir *= (float)(CV_PI_F / 180.0f);
/* The sampling intervals and wavelet sized for selecting an orientation /* The sampling intervals and wavelet sized for selecting an orientation
and building the keypoint descriptor are defined relative to 's' */ and building the keypoint descriptor are defined relative to 's' */
......
modules/ocl/src/kernels/objdetect_hog.cl
View file @ 0fdb55a5
...@@ -448,3 +448,42 @@ __kernel void compute_gradients_8UC1_kernel(const int height, const int width, c ...@@ -448,3 +448,42 @@ __kernel void compute_gradients_8UC1_kernel(const int height, const int width, c
grad[ ((gidY * grad_quadstep + x) << 1) + 1 ] = mag * ang; grad[ ((gidY * grad_quadstep + x) << 1) + 1 ] = mag * ang;
} }
} }
//----------------------------------------------------------------------------
// Resize
__kernel void resize_8UC4_kernel(__global uchar4 * dst, __global const uchar4 * src,
int dst_offset, int src_offset, int dst_step, int src_step,
int src_cols, int src_rows, int dst_cols, int dst_rows, float ifx, float ify )
{
int dx = get_global_id(0);
int dy = get_global_id(1);
int sx = (int)floor(dx*ifx+0.5f);
int sy = (int)floor(dy*ify+0.5f);
sx = min(sx, src_cols-1);
sy = min(sy, src_rows-1);
int dpos = (dst_offset>>2) + dy * (dst_step>>2) + dx;
int spos = (src_offset>>2) + sy * (src_step>>2) + sx;
if(dx<dst_cols && dy<dst_rows)
dst[dpos] = src[spos];
}
__kernel void resize_8UC1_kernel(__global uchar * dst, __global const uchar * src,
int dst_offset, int src_offset, int dst_step, int src_step,
int src_cols, int src_rows, int dst_cols, int dst_rows, float ifx, float ify )
{
int dx = get_global_id(0);
int dy = get_global_id(1);
int sx = (int)floor(dx*ifx+0.5f);
int sy = (int)floor(dy*ify+0.5f);
sx = min(sx, src_cols-1);
sy = min(sy, src_rows-1);
int dpos = dst_offset + dy * dst_step + dx;
int spos = src_offset + sy * src_step + sx;
if(dx<dst_cols && dy<dst_rows)
dst[dpos] = src[spos];
}
\ No newline at end of file
modules/ocl/src/match_template.cpp
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modules/ocl/src/pyrdown.cpp
View file @ 0fdb55a5
/*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, Multicoreware, Inc., all rights reserved.
// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// @Authors
// Dachuan Zhao, dachuan@multicorewareinc.com
// Yao Wang, yao@multicorewareinc.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" #include "precomp.hpp"
using namespace cv; using namespace cv;
...@@ -24,7 +69,6 @@ namespace cv ...@@ -24,7 +69,6 @@ namespace cv
template<typename T> template<typename T>
void pyrdown_run(const oclMat &src, const oclMat &dst) void pyrdown_run(const oclMat &src, const oclMat &dst)
{ {
CV_Assert(src.cols / 2 == dst.cols && src.rows / 2 == dst.rows);
CV_Assert(src.type() == dst.type()); CV_Assert(src.type() == dst.type());
CV_Assert(src.depth() != CV_8S); CV_Assert(src.depth() != CV_8S);
...@@ -108,7 +152,7 @@ void cv::ocl::pyrDown(const oclMat& src, oclMat& dst) ...@@ -108,7 +152,7 @@ void cv::ocl::pyrDown(const oclMat& src, oclMat& dst)
dst.create((src.rows + 1) / 2, (src.cols + 1) / 2, src.type()); dst.create((src.rows + 1) / 2, (src.cols + 1) / 2, src.type());
//dst.step = dst.rows; dst.download_channels = src.download_channels;
pyrdown_run(src, dst); pyrdown_run(src, dst);
} }
......
modules/ocl/src/pyrup.cpp
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modules/ocl/src/surf.cpp
View file @ 0fdb55a5
...@@ -149,8 +149,7 @@ namespace ...@@ -149,8 +149,7 @@ namespace
//loadGlobalConstants(maxCandidates, maxFeatures, img_rows, img_cols, surf_.nOctaveLayers, static_cast<float>(surf_.hessianThreshold)); //loadGlobalConstants(maxCandidates, maxFeatures, img_rows, img_cols, surf_.nOctaveLayers, static_cast<float>(surf_.hessianThreshold));
bindImgTex(img); bindImgTex(img);
oclMat integral_sqsum; integral(img, surf_.sum); // the two argumented integral version is incorrect
integral(img, surf_.sum, integral_sqsum); // the two argumented integral version is incorrect
bindSumTex(surf_.sum); bindSumTex(surf_.sum);
maskSumTex = 0; maskSumTex = 0;
......
modules/ocl/test/test_columnsum.cpp
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modules/ocl/test/test_pyrdown.cpp
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modules/ocl/test/test_pyrup.cpp
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