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289 lines
8.8 KiB
289 lines
8.8 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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// Jin Ma, jin@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 materials 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 "perf_precomp.hpp" |
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using namespace perf; |
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using namespace std; |
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using namespace cv::ocl; |
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using namespace cv; |
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using std::tr1::tuple; |
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using std::tr1::get; |
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#if defined(HAVE_XINE) || \ |
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defined(HAVE_GSTREAMER) || \ |
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defined(HAVE_QUICKTIME) || \ |
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defined(HAVE_AVFOUNDATION) || \ |
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defined(HAVE_FFMPEG) || \ |
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defined(WIN32) |
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# define BUILD_WITH_VIDEO_INPUT_SUPPORT 1 |
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#else |
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# define BUILD_WITH_VIDEO_INPUT_SUPPORT 0 |
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#endif |
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#if BUILD_WITH_VIDEO_INPUT_SUPPORT |
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static void cvtFrameFmt(vector<Mat>& input, vector<Mat>& output) |
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{ |
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for(int i = 0; i< (int)(input.size()); i++) |
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{ |
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cvtColor(input[i], output[i], COLOR_RGB2GRAY); |
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} |
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} |
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//prepare data for CPU |
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static void prepareData(VideoCapture& cap, int cn, vector<Mat>& frame_buffer) |
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{ |
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cv::Mat frame; |
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std::vector<Mat> frame_buffer_init; |
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int nFrame = (int)frame_buffer.size(); |
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for(int i = 0; i < nFrame; i++) |
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{ |
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cap >> frame; |
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ASSERT_FALSE(frame.empty()); |
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frame_buffer_init.push_back(frame); |
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} |
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if(cn == 1) |
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cvtFrameFmt(frame_buffer_init, frame_buffer); |
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else |
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frame_buffer = frame_buffer_init; |
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} |
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//copy CPU data to GPU |
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static void prepareData(vector<Mat>& frame_buffer, vector<oclMat>& frame_buffer_ocl) |
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{ |
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for(int i = 0; i < (int)frame_buffer.size(); i++) |
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frame_buffer_ocl.push_back(cv::ocl::oclMat(frame_buffer[i])); |
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} |
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///////////// MOG //////////////////////// |
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typedef tuple<string, int, double> VideoMOGParamType; |
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typedef TestBaseWithParam<VideoMOGParamType> VideoMOGFixture; |
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PERF_TEST_P(VideoMOGFixture, MOG, |
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::testing::Combine(::testing::Values("gpu/video/768x576.avi", "gpu/video/1920x1080.avi"), |
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::testing::Values(1, 3), |
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::testing::Values(0.0, 0.01))) |
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{ |
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VideoMOGParamType params = GetParam(); |
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const string inputFile = perf::TestBase::getDataPath(get<0>(params)); |
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const int cn = get<1>(params); |
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const float learningRate = static_cast<float>(get<2>(params)); |
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const int nFrame = 5; |
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Mat foreground_cpu; |
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std::vector<Mat> frame_buffer(nFrame); |
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std::vector<oclMat> frame_buffer_ocl; |
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cv::VideoCapture cap(inputFile); |
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ASSERT_TRUE(cap.isOpened()); |
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prepareData(cap, cn, frame_buffer); |
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cv::Mat foreground; |
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cv::ocl::oclMat foreground_d; |
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if(RUN_PLAIN_IMPL) |
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{ |
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TEST_CYCLE() |
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{ |
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cv::BackgroundSubtractorMOG mog; |
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foreground.release(); |
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for (int i = 0; i < nFrame; i++) |
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{ |
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mog(frame_buffer[i], foreground, learningRate); |
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} |
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} |
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SANITY_CHECK(foreground); |
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} |
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else if(RUN_OCL_IMPL) |
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{ |
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prepareData(frame_buffer, frame_buffer_ocl); |
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CV_Assert((int)(frame_buffer_ocl.size()) == nFrame); |
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OCL_TEST_CYCLE() |
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{ |
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cv::ocl::MOG d_mog; |
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foreground_d.release(); |
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for (int i = 0; i < nFrame; ++i) |
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{ |
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d_mog(frame_buffer_ocl[i], foreground_d, learningRate); |
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} |
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} |
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foreground_d.download(foreground); |
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SANITY_CHECK(foreground); |
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} |
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else |
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OCL_PERF_ELSE |
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} |
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///////////// MOG2 //////////////////////// |
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typedef tuple<string, int> VideoMOG2ParamType; |
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typedef TestBaseWithParam<VideoMOG2ParamType> VideoMOG2Fixture; |
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PERF_TEST_P(VideoMOG2Fixture, DISABLED_MOG2, // TODO Disabled: random hungs on buildslave |
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::testing::Combine(::testing::Values("gpu/video/768x576.avi", "gpu/video/1920x1080.avi"), |
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::testing::Values(1, 3))) |
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{ |
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VideoMOG2ParamType params = GetParam(); |
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const string inputFile = perf::TestBase::getDataPath(get<0>(params)); |
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const int cn = get<1>(params); |
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int nFrame = 5; |
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std::vector<cv::Mat> frame_buffer(nFrame); |
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std::vector<cv::ocl::oclMat> frame_buffer_ocl; |
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cv::VideoCapture cap(inputFile); |
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ASSERT_TRUE(cap.isOpened()); |
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prepareData(cap, cn, frame_buffer); |
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cv::Mat foreground; |
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cv::ocl::oclMat foreground_d; |
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if(RUN_PLAIN_IMPL) |
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{ |
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TEST_CYCLE() |
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{ |
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cv::BackgroundSubtractorMOG2 mog2; |
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mog2.set("detectShadows", false); |
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foreground.release(); |
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for (int i = 0; i < nFrame; i++) |
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{ |
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mog2(frame_buffer[i], foreground); |
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} |
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} |
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SANITY_CHECK(foreground); |
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} |
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else if(RUN_OCL_IMPL) |
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{ |
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prepareData(frame_buffer, frame_buffer_ocl); |
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CV_Assert((int)(frame_buffer_ocl.size()) == nFrame); |
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OCL_TEST_CYCLE() |
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{ |
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cv::ocl::MOG2 d_mog2; |
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foreground_d.release(); |
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for (int i = 0; i < nFrame; i++) |
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{ |
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d_mog2(frame_buffer_ocl[i], foreground_d); |
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} |
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} |
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foreground_d.download(foreground); |
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SANITY_CHECK(foreground); |
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} |
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else |
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OCL_PERF_ELSE |
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} |
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///////////// MOG2_GetBackgroundImage ////////////////// |
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typedef TestBaseWithParam<VideoMOG2ParamType> Video_MOG2GetBackgroundImage; |
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PERF_TEST_P(Video_MOG2GetBackgroundImage, MOG2, |
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::testing::Combine(::testing::Values("gpu/video/768x576.avi", "gpu/video/1920x1080.avi"), |
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::testing::Values(3))) |
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{ |
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VideoMOG2ParamType params = GetParam(); |
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const string inputFile = perf::TestBase::getDataPath(get<0>(params)); |
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const int cn = get<1>(params); |
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int nFrame = 5; |
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std::vector<cv::Mat> frame_buffer(nFrame); |
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std::vector<cv::ocl::oclMat> frame_buffer_ocl; |
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cv::VideoCapture cap(inputFile); |
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ASSERT_TRUE(cap.isOpened()); |
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prepareData(cap, cn, frame_buffer); |
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cv::Mat foreground; |
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cv::Mat background; |
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cv::ocl::oclMat foreground_d; |
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cv::ocl::oclMat background_d; |
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if(RUN_PLAIN_IMPL) |
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{ |
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TEST_CYCLE() |
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{ |
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cv::BackgroundSubtractorMOG2 mog2; |
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mog2.set("detectShadows", false); |
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foreground.release(); |
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background.release(); |
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for (int i = 0; i < nFrame; i++) |
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{ |
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mog2(frame_buffer[i], foreground); |
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} |
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mog2.getBackgroundImage(background); |
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} |
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SANITY_CHECK(background); |
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} |
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else if(RUN_OCL_IMPL) |
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{ |
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prepareData(frame_buffer, frame_buffer_ocl); |
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CV_Assert((int)(frame_buffer_ocl.size()) == nFrame); |
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OCL_TEST_CYCLE() |
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{ |
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cv::ocl::MOG2 d_mog2; |
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foreground_d.release(); |
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background_d.release(); |
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for (int i = 0; i < nFrame; i++) |
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{ |
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d_mog2(frame_buffer_ocl[i], foreground_d); |
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} |
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d_mog2.getBackgroundImage(background_d); |
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} |
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background_d.download(background); |
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SANITY_CHECK(background); |
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} |
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else |
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OCL_PERF_ELSE |
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} |
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#endif
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