/*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) 2000-2008, Intel Corporation, all rights reserved. // Copyright (C) 2009, Willow Garage Inc., all rights reserved. // Third party copyrights are property of their respective owners. // // 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 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 "perf_precomp.hpp" #include "opencv2/legacy.hpp" using namespace std; using namespace testing; using namespace perf; #if defined(HAVE_XINE) || \ defined(HAVE_GSTREAMER) || \ defined(HAVE_QUICKTIME) || \ defined(HAVE_AVFOUNDATION) || \ defined(HAVE_FFMPEG) || \ defined(WIN32) /* assume that we have ffmpeg */ # define BUILD_WITH_VIDEO_INPUT_SUPPORT 1 #else # define BUILD_WITH_VIDEO_INPUT_SUPPORT 0 #endif namespace cv { template<> void Ptr::delete_obj() { cvReleaseBGStatModel(&obj); } } ////////////////////////////////////////////////////// // FGDStatModel #if BUILD_WITH_VIDEO_INPUT_SUPPORT DEF_PARAM_TEST_1(Video, string); PERF_TEST_P(Video, FGDStatModel, Values(string("gpu/video/768x576.avi"))) { declare.time(60); const string inputFile = perf::TestBase::getDataPath(GetParam()); cv::VideoCapture cap(inputFile); ASSERT_TRUE(cap.isOpened()); cv::Mat frame; cap >> frame; ASSERT_FALSE(frame.empty()); if (PERF_RUN_GPU()) { cv::gpu::GpuMat d_frame(frame); cv::gpu::FGDStatModel d_model(4); d_model.create(d_frame); for (int i = 0; i < 10; ++i) { cap >> frame; ASSERT_FALSE(frame.empty()); d_frame.upload(frame); startTimer(); next(); d_model.update(d_frame); stopTimer(); } const cv::gpu::GpuMat background = d_model.background; const cv::gpu::GpuMat foreground = d_model.foreground; GPU_SANITY_CHECK(background, 1e-2, ERROR_RELATIVE); GPU_SANITY_CHECK(foreground, 1e-2, ERROR_RELATIVE); } else { IplImage ipl_frame = frame; cv::Ptr model(cvCreateFGDStatModel(&ipl_frame)); for (int i = 0; i < 10; ++i) { cap >> frame; ASSERT_FALSE(frame.empty()); ipl_frame = frame; startTimer(); next(); cvUpdateBGStatModel(&ipl_frame, model); stopTimer(); } const cv::Mat background = cv::cvarrToMat(model->background); const cv::Mat foreground = cv::cvarrToMat(model->foreground); CPU_SANITY_CHECK(background); CPU_SANITY_CHECK(foreground); } } #endif ////////////////////////////////////////////////////// // MOG #if BUILD_WITH_VIDEO_INPUT_SUPPORT DEF_PARAM_TEST(Video_Cn_LearningRate, string, MatCn, double); PERF_TEST_P(Video_Cn_LearningRate, MOG, Combine(Values("gpu/video/768x576.avi", "gpu/video/1920x1080.avi"), GPU_CHANNELS_1_3_4, Values(0.0, 0.01))) { const string inputFile = perf::TestBase::getDataPath(GET_PARAM(0)); const int cn = GET_PARAM(1); const float learningRate = static_cast(GET_PARAM(2)); cv::VideoCapture cap(inputFile); ASSERT_TRUE(cap.isOpened()); cv::Mat frame; cap >> frame; ASSERT_FALSE(frame.empty()); if (cn != 3) { cv::Mat temp; if (cn == 1) cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY); else cv::cvtColor(frame, temp, cv::COLOR_BGR2BGRA); cv::swap(temp, frame); } if (PERF_RUN_GPU()) { cv::Ptr d_mog = cv::gpu::createBackgroundSubtractorMOG(); cv::gpu::GpuMat d_frame(frame); cv::gpu::GpuMat foreground; d_mog->apply(d_frame, foreground, learningRate); for (int i = 0; i < 10; ++i) { cap >> frame; ASSERT_FALSE(frame.empty()); if (cn != 3) { cv::Mat temp; if (cn == 1) cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY); else cv::cvtColor(frame, temp, cv::COLOR_BGR2BGRA); cv::swap(temp, frame); } d_frame.upload(frame); startTimer(); next(); d_mog->apply(d_frame, foreground, learningRate); stopTimer(); } GPU_SANITY_CHECK(foreground); } else { cv::Ptr mog = cv::createBackgroundSubtractorMOG(); cv::Mat foreground; mog->apply(frame, foreground, learningRate); for (int i = 0; i < 10; ++i) { cap >> frame; ASSERT_FALSE(frame.empty()); if (cn != 3) { cv::Mat temp; if (cn == 1) cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY); else cv::cvtColor(frame, temp, cv::COLOR_BGR2BGRA); cv::swap(temp, frame); } startTimer(); next(); mog->apply(frame, foreground, learningRate); stopTimer(); } CPU_SANITY_CHECK(foreground); } } #endif ////////////////////////////////////////////////////// // MOG2 #if BUILD_WITH_VIDEO_INPUT_SUPPORT DEF_PARAM_TEST(Video_Cn, string, int); PERF_TEST_P(Video_Cn, MOG2, Combine(Values("gpu/video/768x576.avi", "gpu/video/1920x1080.avi"), GPU_CHANNELS_1_3_4)) { const string inputFile = perf::TestBase::getDataPath(GET_PARAM(0)); const int cn = GET_PARAM(1); cv::VideoCapture cap(inputFile); ASSERT_TRUE(cap.isOpened()); cv::Mat frame; cap >> frame; ASSERT_FALSE(frame.empty()); if (cn != 3) { cv::Mat temp; if (cn == 1) cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY); else cv::cvtColor(frame, temp, cv::COLOR_BGR2BGRA); cv::swap(temp, frame); } if (PERF_RUN_GPU()) { cv::Ptr d_mog2 = cv::gpu::createBackgroundSubtractorMOG2(); d_mog2->setDetectShadows(false); cv::gpu::GpuMat d_frame(frame); cv::gpu::GpuMat foreground; d_mog2->apply(d_frame, foreground); for (int i = 0; i < 10; ++i) { cap >> frame; ASSERT_FALSE(frame.empty()); if (cn != 3) { cv::Mat temp; if (cn == 1) cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY); else cv::cvtColor(frame, temp, cv::COLOR_BGR2BGRA); cv::swap(temp, frame); } d_frame.upload(frame); startTimer(); next(); d_mog2->apply(d_frame, foreground); stopTimer(); } GPU_SANITY_CHECK(foreground); } else { cv::Ptr mog2 = cv::createBackgroundSubtractorMOG2(); mog2->setDetectShadows(false); cv::Mat foreground; mog2->apply(frame, foreground); for (int i = 0; i < 10; ++i) { cap >> frame; ASSERT_FALSE(frame.empty()); if (cn != 3) { cv::Mat temp; if (cn == 1) cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY); else cv::cvtColor(frame, temp, cv::COLOR_BGR2BGRA); cv::swap(temp, frame); } startTimer(); next(); mog2->apply(frame, foreground); stopTimer(); } CPU_SANITY_CHECK(foreground); } } #endif ////////////////////////////////////////////////////// // MOG2GetBackgroundImage #if BUILD_WITH_VIDEO_INPUT_SUPPORT PERF_TEST_P(Video_Cn, MOG2GetBackgroundImage, Combine(Values("gpu/video/768x576.avi", "gpu/video/1920x1080.avi"), GPU_CHANNELS_1_3_4)) { const string inputFile = perf::TestBase::getDataPath(GET_PARAM(0)); const int cn = GET_PARAM(1); cv::VideoCapture cap(inputFile); ASSERT_TRUE(cap.isOpened()); cv::Mat frame; if (PERF_RUN_GPU()) { cv::Ptr d_mog2 = cv::gpu::createBackgroundSubtractorMOG2(); cv::gpu::GpuMat d_frame; cv::gpu::GpuMat d_foreground; for (int i = 0; i < 10; ++i) { cap >> frame; ASSERT_FALSE(frame.empty()); if (cn != 3) { cv::Mat temp; if (cn == 1) cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY); else cv::cvtColor(frame, temp, cv::COLOR_BGR2BGRA); cv::swap(temp, frame); } d_frame.upload(frame); d_mog2->apply(d_frame, d_foreground); } cv::gpu::GpuMat background; TEST_CYCLE() d_mog2->getBackgroundImage(background); GPU_SANITY_CHECK(background, 1); } else { cv::Ptr mog2 = cv::createBackgroundSubtractorMOG2(); cv::Mat foreground; for (int i = 0; i < 10; ++i) { cap >> frame; ASSERT_FALSE(frame.empty()); if (cn != 3) { cv::Mat temp; if (cn == 1) cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY); else cv::cvtColor(frame, temp, cv::COLOR_BGR2BGRA); cv::swap(temp, frame); } mog2->apply(frame, foreground); } cv::Mat background; TEST_CYCLE() mog2->getBackgroundImage(background); CPU_SANITY_CHECK(background); } } #endif ////////////////////////////////////////////////////// // GMG #if BUILD_WITH_VIDEO_INPUT_SUPPORT DEF_PARAM_TEST(Video_Cn_MaxFeatures, string, MatCn, int); PERF_TEST_P(Video_Cn_MaxFeatures, GMG, Combine(Values(string("gpu/video/768x576.avi")), GPU_CHANNELS_1_3_4, Values(20, 40, 60))) { const std::string inputFile = perf::TestBase::getDataPath(GET_PARAM(0)); const int cn = GET_PARAM(1); const int maxFeatures = GET_PARAM(2); cv::VideoCapture cap(inputFile); ASSERT_TRUE(cap.isOpened()); cv::Mat frame; cap >> frame; ASSERT_FALSE(frame.empty()); if (cn != 3) { cv::Mat temp; if (cn == 1) cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY); else cv::cvtColor(frame, temp, cv::COLOR_BGR2BGRA); cv::swap(temp, frame); } if (PERF_RUN_GPU()) { cv::gpu::GpuMat d_frame(frame); cv::gpu::GpuMat foreground; cv::Ptr d_gmg = cv::gpu::createBackgroundSubtractorGMG(); d_gmg->setMaxFeatures(maxFeatures); d_gmg->apply(d_frame, foreground); for (int i = 0; i < 150; ++i) { cap >> frame; if (frame.empty()) { cap.release(); cap.open(inputFile); cap >> frame; } if (cn != 3) { cv::Mat temp; if (cn == 1) cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY); else cv::cvtColor(frame, temp, cv::COLOR_BGR2BGRA); cv::swap(temp, frame); } d_frame.upload(frame); startTimer(); next(); d_gmg->apply(d_frame, foreground); stopTimer(); } GPU_SANITY_CHECK(foreground); } else { cv::Mat foreground; cv::Mat zeros(frame.size(), CV_8UC1, cv::Scalar::all(0)); cv::Ptr gmg = cv::createBackgroundSubtractorGMG(); gmg->setMaxFeatures(maxFeatures); gmg->apply(frame, foreground); for (int i = 0; i < 150; ++i) { cap >> frame; if (frame.empty()) { cap.release(); cap.open(inputFile); cap >> frame; } if (cn != 3) { cv::Mat temp; if (cn == 1) cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY); else cv::cvtColor(frame, temp, cv::COLOR_BGR2BGRA); cv::swap(temp, frame); } startTimer(); next(); gmg->apply(frame, foreground); stopTimer(); } CPU_SANITY_CHECK(foreground); } } #endif