update some of the functions in ocl module to the latest version
This commit is contained in:
yao
122
modules/ocl/perf/test_blend.cpp
Normal file
122
modules/ocl/perf/test_blend.cpp
Normal file
@@ -0,0 +1,122 @@
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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, 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*/
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#include "precomp.hpp"
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#include <iomanip>
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#ifdef HAVE_OPENCL
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using namespace cv;
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using namespace cv::ocl;
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using namespace cvtest;
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using namespace testing;
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using namespace std;
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PARAM_TEST_CASE(Blend, MatType, int)
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{
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int type;
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int channels;
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std::vector<cv::ocl::Info> oclinfo;
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virtual void SetUp()
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{
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type = GET_PARAM(0);
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channels = GET_PARAM(1);
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//int devnums = getDevice(oclinfo);
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//CV_Assert(devnums > 0);
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//cv::ocl::setBinpath(CLBINPATH);
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}
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};
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TEST_P(Blend, Performance)
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{
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cv::Size size(MWIDTH, MHEIGHT);
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cv::Mat img1_host = randomMat(size, CV_MAKETYPE(type, channels), 0, type == CV_8U ? 255.0 : 1.0);
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cv::Mat img2_host = randomMat(size, CV_MAKETYPE(type, channels), 0, type == CV_8U ? 255.0 : 1.0);
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cv::Mat weights1 = randomMat(size, CV_32F, 0, 1);
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cv::Mat weights2 = randomMat(size, CV_32F, 0, 1);
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cv::ocl::oclMat gimg1(size, CV_MAKETYPE(type, channels)), gimg2(size, CV_MAKETYPE(type, channels)), gweights1(size, CV_32F), gweights2(size, CV_32F);
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cv::ocl::oclMat gdst(size, CV_MAKETYPE(type, channels));
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double totalgputick_all = 0;
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double totalgputick_kernel = 0;
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double t1 = 0;
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double t2 = 0;
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for (int j = 0; j < LOOP_TIMES + 1; j ++) //LOOP_TIMES=100
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{
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t1 = (double)cvGetTickCount();
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cv::ocl::oclMat gimg1 = cv::ocl::oclMat(img1_host);
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cv::ocl::oclMat gimg2 = cv::ocl::oclMat(img2_host);
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cv::ocl::oclMat gweights1 = cv::ocl::oclMat(weights1);
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cv::ocl::oclMat gweights2 = cv::ocl::oclMat(weights1);
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t2 = (double)cvGetTickCount();
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cv::ocl::blendLinear(gimg1, gimg2, gweights1, gweights2, gdst);
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t2 = (double)cvGetTickCount() - t2;
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cv::Mat m;
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gdst.download(m);
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t1 = (double)cvGetTickCount() - t1;
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if (j == 0)
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{
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continue;
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}
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totalgputick_all = t1 + totalgputick_all;
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totalgputick_kernel = t2 + totalgputick_kernel;
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};
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cout << "average gpu total runtime is " << totalgputick_all / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
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cout << "average gpu runtime without data transfering is " << totalgputick_kernel / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
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}
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INSTANTIATE_TEST_CASE_P(GPU_ImgProc, Blend, Combine(
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Values(CV_8U, CV_32F), Values(1, 4)));
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#endif
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155
modules/ocl/perf/test_canny.cpp
Normal file
155
modules/ocl/perf/test_canny.cpp
Normal file
@@ -0,0 +1,155 @@
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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, 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*/
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||||
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#include "precomp.hpp"
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#include <iomanip>
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#ifdef HAVE_OPENCL
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using namespace cv;
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using namespace cv::ocl;
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using namespace cvtest;
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using namespace testing;
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using namespace std;
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#define FILTER_IMAGE "../../../samples/gpu/road.png"
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#ifndef MWC_TEST_UTILITY
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#define MWC_TEST_UTILITY
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// Param class
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#ifndef IMPLEMENT_PARAM_CLASS
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#define IMPLEMENT_PARAM_CLASS(name, type) \
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class name \
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{ \
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public: \
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name ( type arg = type ()) : val_(arg) {} \
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operator type () const {return val_;} \
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private: \
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type val_; \
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}; \
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inline void PrintTo( name param, std::ostream* os) \
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{ \
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*os << #name << "(" << testing::PrintToString(static_cast< type >(param)) << ")"; \
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}
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IMPLEMENT_PARAM_CLASS(Channels, int)
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#endif // IMPLEMENT_PARAM_CLASS
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#endif // MWC_TEST_UTILITY
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////////////////////////////////////////////////////////
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// Canny1
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IMPLEMENT_PARAM_CLASS(AppertureSize, int);
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IMPLEMENT_PARAM_CLASS(L2gradient, bool);
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PARAM_TEST_CASE(Canny1, AppertureSize, L2gradient)
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{
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int apperture_size;
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bool useL2gradient;
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//std::vector<cv::ocl::Info> oclinfo;
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virtual void SetUp()
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{
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apperture_size = GET_PARAM(0);
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useL2gradient = GET_PARAM(1);
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//int devnums = getDevice(oclinfo);
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//CV_Assert(devnums > 0);
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}
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};
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TEST_P(Canny1, Performance)
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{
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cv::Mat img = readImage(FILTER_IMAGE,cv::IMREAD_GRAYSCALE);
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ASSERT_FALSE(img.empty());
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double low_thresh = 100.0;
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double high_thresh = 150.0;
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cv::Mat edges_gold;
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cv::ocl::oclMat edges;
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double totalgputick=0;
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double totalgputick_kernel=0;
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double t1=0;
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double t2=0;
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for(int j = 0; j < LOOP_TIMES+1; j ++)
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{
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t1 = (double)cvGetTickCount();//gpu start1
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cv::ocl::oclMat ocl_img = cv::ocl::oclMat(img);//upload
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t2=(double)cvGetTickCount();//kernel
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cv::ocl::Canny(ocl_img, edges, low_thresh, high_thresh, apperture_size, useL2gradient);
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t2 = (double)cvGetTickCount() - t2;//kernel
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cv::Mat cpu_dst;
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edges.download (cpu_dst);//download
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t1 = (double)cvGetTickCount() - t1;//gpu end1
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if(j == 0)
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continue;
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totalgputick=t1+totalgputick;
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totalgputick_kernel=t2+totalgputick_kernel;
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}
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cout << "average gpu runtime is " << totalgputick/((double)cvGetTickFrequency()* LOOP_TIMES *1000.) << "ms" << endl;
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cout << "average gpu runtime without data transfer is " << totalgputick_kernel/((double)cvGetTickFrequency()* LOOP_TIMES *1000.) << "ms" << endl;
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}
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INSTANTIATE_TEST_CASE_P(GPU_ImgProc, Canny1, testing::Combine(
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testing::Values(AppertureSize(3), AppertureSize(5)),
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testing::Values(L2gradient(false), L2gradient(true))));
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#endif //Have opencl
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120
modules/ocl/perf/test_columnsum.cpp
Normal file
120
modules/ocl/perf/test_columnsum.cpp
Normal file
@@ -0,0 +1,120 @@
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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, 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
|
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|
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#ifdef HAVE_OPENCL
|
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|
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////////////////////////////////////////////////////////////////////////
|
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// ColumnSum
|
||||
|
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PARAM_TEST_CASE(ColumnSum)
|
||||
{
|
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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);
|
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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
|
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cv::ocl::columnSum(d_src,d_dst);
|
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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
|
||||
126
modules/ocl/perf/test_fft.cpp
Normal file
126
modules/ocl/perf/test_fft.cpp
Normal file
@@ -0,0 +1,126 @@
|
||||
/*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
|
||||
113
modules/ocl/perf/test_gemm.cpp
Normal file
113
modules/ocl/perf/test_gemm.cpp
Normal file
@@ -0,0 +1,113 @@
|
||||
/*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
|
||||
218
modules/ocl/perf/test_hog.cpp
Normal file
218
modules/ocl/perf/test_hog.cpp
Normal file
@@ -0,0 +1,218 @@
|
||||
/*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
|
||||
232
modules/ocl/perf/test_match_template.cpp
Normal file
232
modules/ocl/perf/test_match_template.cpp
Normal file
@@ -0,0 +1,232 @@
|
||||
/*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
|
||||
137
modules/ocl/perf/test_pyrdown.cpp
Normal file
137
modules/ocl/perf/test_pyrdown.cpp
Normal file
@@ -0,0 +1,137 @@
|
||||
///////////////////////////////////////////////////////////////////////////////////////
|
||||
//
|
||||
// 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
|
||||
122
modules/ocl/perf/test_pyrup.cpp
Normal file
122
modules/ocl/perf/test_pyrup.cpp
Normal file
@@ -0,0 +1,122 @@
|
||||
/*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
|
||||
Reference in New Issue
Block a user