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Open Source Computer Vision Library
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153 lines
4.9 KiB
153 lines
4.9 KiB
/*M/////////////////////////////////////////////////////////////////////////////////////// |
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// |
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. |
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// |
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// By downloading, copying, installing or using the software you agree to this license. |
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// If you do not agree to this license, do not download, install, |
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// copy or use the software. |
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// |
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// |
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// License Agreement |
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// For Open Source Computer Vision Library |
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// |
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// Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved. |
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// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved. |
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// Third party copyrights are property of their respective owners. |
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// |
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// @Authors |
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// Fangfang Bai, fangfang@multicorewareinc.com |
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// |
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// Redistribution and use in source and binary forms, with or without modification, |
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// are permitted provided that the following conditions are met: |
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// |
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// * Redistribution's of source code must retain the above copyright notice, |
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// this list of conditions and the following disclaimer. |
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// |
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// * Redistribution's in binary form must reproduce the above copyright notice, |
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// this list of conditions and the following disclaimer in the documentation |
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// and/or other oclMaterials provided with the distribution. |
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// |
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// * The name of the copyright holders may not be used to endorse or promote products |
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// derived from this software without specific prior written permission. |
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// |
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// This software is provided by the copyright holders and contributors as is and |
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// any express or implied warranties, including, but not limited to, the implied |
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// warranties of merchantability and fitness for a particular purpose are disclaimed. |
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// In no event shall the Intel Corporation or contributors be liable for any direct, |
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// indirect, incidental, special, exemplary, or consequential damages |
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// (including, but not limited to, procurement of substitute goods or services; |
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// loss of use, data, or profits; or business interruption) however caused |
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// and on any theory of liability, whether in contract, strict liability, |
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// or tort (including negligence or otherwise) arising in any way out of |
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// the use of this software, even if advised of the possibility of such damage. |
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// |
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//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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#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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extern std::string workdir; |
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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(workdir + "fruits.jpg", 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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