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538 lines
14 KiB
C++
538 lines
14 KiB
C++
/*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) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2009, Willow Garage 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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// 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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#include "opencv2/legacy.hpp"
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using namespace std;
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using namespace testing;
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using namespace perf;
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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) /* assume that we have ffmpeg */
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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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namespace cv
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{
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template<> void Ptr<CvBGStatModel>::delete_obj()
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{
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cvReleaseBGStatModel(&obj);
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}
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}
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//////////////////////////////////////////////////////
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// FGDStatModel
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#if BUILD_WITH_VIDEO_INPUT_SUPPORT
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DEF_PARAM_TEST_1(Video, string);
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PERF_TEST_P(Video, FGDStatModel,
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Values(string("gpu/video/768x576.avi")))
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{
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declare.time(60);
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const string inputFile = perf::TestBase::getDataPath(GetParam());
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cv::VideoCapture cap(inputFile);
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ASSERT_TRUE(cap.isOpened());
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cv::Mat frame;
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cap >> frame;
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ASSERT_FALSE(frame.empty());
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if (PERF_RUN_GPU())
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{
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cv::gpu::GpuMat d_frame(frame);
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cv::gpu::FGDStatModel d_model(4);
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d_model.create(d_frame);
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for (int i = 0; i < 10; ++i)
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{
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cap >> frame;
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ASSERT_FALSE(frame.empty());
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d_frame.upload(frame);
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startTimer(); next();
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d_model.update(d_frame);
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stopTimer();
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}
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const cv::gpu::GpuMat background = d_model.background;
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const cv::gpu::GpuMat foreground = d_model.foreground;
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GPU_SANITY_CHECK(background, 1e-2, ERROR_RELATIVE);
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GPU_SANITY_CHECK(foreground, 1e-2, ERROR_RELATIVE);
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}
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else
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{
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IplImage ipl_frame = frame;
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cv::Ptr<CvBGStatModel> model(cvCreateFGDStatModel(&ipl_frame));
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for (int i = 0; i < 10; ++i)
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{
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cap >> frame;
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ASSERT_FALSE(frame.empty());
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ipl_frame = frame;
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startTimer(); next();
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cvUpdateBGStatModel(&ipl_frame, model);
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stopTimer();
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}
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const cv::Mat background = cv::cvarrToMat(model->background);
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const cv::Mat foreground = cv::cvarrToMat(model->foreground);
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CPU_SANITY_CHECK(background);
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CPU_SANITY_CHECK(foreground);
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}
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}
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#endif
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//////////////////////////////////////////////////////
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// MOG
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#if BUILD_WITH_VIDEO_INPUT_SUPPORT
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DEF_PARAM_TEST(Video_Cn_LearningRate, string, MatCn, double);
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PERF_TEST_P(Video_Cn_LearningRate, MOG,
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Combine(Values("gpu/video/768x576.avi", "gpu/video/1920x1080.avi"),
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GPU_CHANNELS_1_3_4,
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Values(0.0, 0.01)))
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{
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const string inputFile = perf::TestBase::getDataPath(GET_PARAM(0));
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const int cn = GET_PARAM(1);
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const float learningRate = static_cast<float>(GET_PARAM(2));
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cv::VideoCapture cap(inputFile);
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ASSERT_TRUE(cap.isOpened());
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cv::Mat frame;
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cap >> frame;
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ASSERT_FALSE(frame.empty());
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if (cn != 3)
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{
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cv::Mat temp;
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if (cn == 1)
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cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY);
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else
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cv::cvtColor(frame, temp, cv::COLOR_BGR2BGRA);
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cv::swap(temp, frame);
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}
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if (PERF_RUN_GPU())
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{
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cv::gpu::GpuMat d_frame(frame);
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cv::gpu::MOG_GPU d_mog;
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cv::gpu::GpuMat foreground;
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d_mog(d_frame, foreground, learningRate);
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for (int i = 0; i < 10; ++i)
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{
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cap >> frame;
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ASSERT_FALSE(frame.empty());
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if (cn != 3)
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{
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cv::Mat temp;
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if (cn == 1)
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cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY);
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else
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cv::cvtColor(frame, temp, cv::COLOR_BGR2BGRA);
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cv::swap(temp, frame);
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}
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d_frame.upload(frame);
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startTimer(); next();
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d_mog(d_frame, foreground, learningRate);
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stopTimer();
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}
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GPU_SANITY_CHECK(foreground);
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}
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else
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{
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cv::Ptr<cv::BackgroundSubtractor> mog = cv::createBackgroundSubtractorMOG();
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cv::Mat foreground;
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mog->apply(frame, foreground, learningRate);
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for (int i = 0; i < 10; ++i)
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{
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cap >> frame;
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ASSERT_FALSE(frame.empty());
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if (cn != 3)
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{
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cv::Mat temp;
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if (cn == 1)
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cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY);
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else
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cv::cvtColor(frame, temp, cv::COLOR_BGR2BGRA);
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cv::swap(temp, frame);
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}
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startTimer(); next();
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mog->apply(frame, foreground, learningRate);
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stopTimer();
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}
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CPU_SANITY_CHECK(foreground);
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}
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}
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#endif
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//////////////////////////////////////////////////////
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// MOG2
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#if BUILD_WITH_VIDEO_INPUT_SUPPORT
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DEF_PARAM_TEST(Video_Cn, string, int);
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PERF_TEST_P(Video_Cn, MOG2,
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Combine(Values("gpu/video/768x576.avi", "gpu/video/1920x1080.avi"),
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GPU_CHANNELS_1_3_4))
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{
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const string inputFile = perf::TestBase::getDataPath(GET_PARAM(0));
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const int cn = GET_PARAM(1);
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cv::VideoCapture cap(inputFile);
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ASSERT_TRUE(cap.isOpened());
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cv::Mat frame;
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cap >> frame;
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ASSERT_FALSE(frame.empty());
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if (cn != 3)
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{
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cv::Mat temp;
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if (cn == 1)
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cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY);
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else
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cv::cvtColor(frame, temp, cv::COLOR_BGR2BGRA);
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cv::swap(temp, frame);
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}
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if (PERF_RUN_GPU())
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{
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cv::gpu::MOG2_GPU d_mog2;
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d_mog2.bShadowDetection = false;
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cv::gpu::GpuMat d_frame(frame);
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cv::gpu::GpuMat foreground;
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d_mog2(d_frame, foreground);
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for (int i = 0; i < 10; ++i)
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{
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cap >> frame;
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ASSERT_FALSE(frame.empty());
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if (cn != 3)
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{
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cv::Mat temp;
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if (cn == 1)
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cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY);
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else
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cv::cvtColor(frame, temp, cv::COLOR_BGR2BGRA);
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cv::swap(temp, frame);
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}
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d_frame.upload(frame);
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startTimer(); next();
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d_mog2(d_frame, foreground);
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stopTimer();
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}
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GPU_SANITY_CHECK(foreground);
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}
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else
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{
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cv::Ptr<cv::BackgroundSubtractor> mog2 = cv::createBackgroundSubtractorMOG2();
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mog2->set("detectShadows", false);
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cv::Mat foreground;
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mog2->apply(frame, foreground);
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for (int i = 0; i < 10; ++i)
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{
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cap >> frame;
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ASSERT_FALSE(frame.empty());
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if (cn != 3)
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{
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cv::Mat temp;
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if (cn == 1)
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cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY);
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else
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cv::cvtColor(frame, temp, cv::COLOR_BGR2BGRA);
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cv::swap(temp, frame);
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}
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startTimer(); next();
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mog2->apply(frame, foreground);
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stopTimer();
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}
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CPU_SANITY_CHECK(foreground);
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}
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}
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#endif
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//////////////////////////////////////////////////////
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// MOG2GetBackgroundImage
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#if BUILD_WITH_VIDEO_INPUT_SUPPORT
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PERF_TEST_P(Video_Cn, MOG2GetBackgroundImage,
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Combine(Values("gpu/video/768x576.avi", "gpu/video/1920x1080.avi"),
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GPU_CHANNELS_1_3_4))
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{
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const string inputFile = perf::TestBase::getDataPath(GET_PARAM(0));
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const int cn = GET_PARAM(1);
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cv::VideoCapture cap(inputFile);
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ASSERT_TRUE(cap.isOpened());
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cv::Mat frame;
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if (PERF_RUN_GPU())
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{
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cv::gpu::GpuMat d_frame;
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cv::gpu::MOG2_GPU d_mog2;
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cv::gpu::GpuMat d_foreground;
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for (int i = 0; i < 10; ++i)
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{
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cap >> frame;
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ASSERT_FALSE(frame.empty());
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if (cn != 3)
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{
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cv::Mat temp;
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if (cn == 1)
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cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY);
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else
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cv::cvtColor(frame, temp, cv::COLOR_BGR2BGRA);
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cv::swap(temp, frame);
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}
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d_frame.upload(frame);
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d_mog2(d_frame, d_foreground);
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}
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cv::gpu::GpuMat background;
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TEST_CYCLE() d_mog2.getBackgroundImage(background);
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GPU_SANITY_CHECK(background, 1);
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}
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else
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{
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cv::Ptr<cv::BackgroundSubtractor> mog2 = cv::createBackgroundSubtractorMOG2();
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cv::Mat foreground;
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for (int i = 0; i < 10; ++i)
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{
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cap >> frame;
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ASSERT_FALSE(frame.empty());
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if (cn != 3)
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{
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cv::Mat temp;
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if (cn == 1)
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cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY);
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else
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cv::cvtColor(frame, temp, cv::COLOR_BGR2BGRA);
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cv::swap(temp, frame);
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}
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mog2->apply(frame, foreground);
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}
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cv::Mat background;
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TEST_CYCLE() mog2->getBackgroundImage(background);
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CPU_SANITY_CHECK(background);
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}
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}
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#endif
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//////////////////////////////////////////////////////
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// GMG
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#if BUILD_WITH_VIDEO_INPUT_SUPPORT
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DEF_PARAM_TEST(Video_Cn_MaxFeatures, string, MatCn, int);
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PERF_TEST_P(Video_Cn_MaxFeatures, GMG,
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Combine(Values(string("gpu/video/768x576.avi")),
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GPU_CHANNELS_1_3_4,
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Values(20, 40, 60)))
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{
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const std::string inputFile = perf::TestBase::getDataPath(GET_PARAM(0));
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const int cn = GET_PARAM(1);
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const int maxFeatures = GET_PARAM(2);
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cv::VideoCapture cap(inputFile);
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ASSERT_TRUE(cap.isOpened());
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cv::Mat frame;
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cap >> frame;
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ASSERT_FALSE(frame.empty());
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if (cn != 3)
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{
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cv::Mat temp;
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if (cn == 1)
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cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY);
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else
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cv::cvtColor(frame, temp, cv::COLOR_BGR2BGRA);
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cv::swap(temp, frame);
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}
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if (PERF_RUN_GPU())
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{
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cv::gpu::GpuMat d_frame(frame);
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cv::gpu::GpuMat foreground;
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cv::gpu::GMG_GPU d_gmg;
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d_gmg.maxFeatures = maxFeatures;
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d_gmg(d_frame, foreground);
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for (int i = 0; i < 150; ++i)
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{
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cap >> frame;
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if (frame.empty())
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{
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cap.release();
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cap.open(inputFile);
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cap >> frame;
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}
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if (cn != 3)
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{
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cv::Mat temp;
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if (cn == 1)
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cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY);
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else
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cv::cvtColor(frame, temp, cv::COLOR_BGR2BGRA);
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cv::swap(temp, frame);
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}
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d_frame.upload(frame);
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startTimer(); next();
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d_gmg(d_frame, foreground);
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stopTimer();
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}
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GPU_SANITY_CHECK(foreground);
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}
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else
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{
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cv::Mat foreground;
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cv::Mat zeros(frame.size(), CV_8UC1, cv::Scalar::all(0));
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cv::Ptr<cv::BackgroundSubtractor> gmg = cv::createBackgroundSubtractorGMG();
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gmg->set("maxFeatures", maxFeatures);
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//gmg.initialize(frame.size(), 0.0, 255.0);
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gmg->apply(frame, foreground);
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for (int i = 0; i < 150; ++i)
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{
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cap >> frame;
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if (frame.empty())
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{
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cap.release();
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cap.open(inputFile);
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cap >> frame;
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}
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if (cn != 3)
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{
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cv::Mat temp;
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if (cn == 1)
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cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY);
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else
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cv::cvtColor(frame, temp, cv::COLOR_BGR2BGRA);
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cv::swap(temp, frame);
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}
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startTimer(); next();
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gmg->apply(frame, foreground);
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stopTimer();
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}
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CPU_SANITY_CHECK(foreground);
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}
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}
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#endif
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