/*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" namespace opencv_test { namespace { ////////////////////////////////////////////////////// // MOG #ifdef HAVE_VIDEO_INPUT DEF_PARAM_TEST(Video_Cn_LearningRate, string, MatCn, double); PERF_TEST_P(Video_Cn_LearningRate, MOG, Combine(Values("cv/video/768x576.avi", "cv/video/1920x1080.avi"), CUDA_CHANNELS_1_3_4, Values(0.0, 0.01))) { const int numIters = 10; 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_CUDA()) { cv::Ptr d_mog = cv::cuda::createBackgroundSubtractorMOG(); cv::cuda::GpuMat d_frame(frame); cv::cuda::GpuMat foreground; d_mog->apply(d_frame, foreground, learningRate); int i = 0; // collect performance data for (; i < numIters; ++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(); if(!next()) break; d_mog->apply(d_frame, foreground, learningRate); stopTimer(); } // process last frame in sequence to get data for sanity test for (; i < numIters; ++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_mog->apply(d_frame, foreground, learningRate); } CUDA_SANITY_CHECK(foreground); } else { FAIL_NO_CPU(); } } #endif ////////////////////////////////////////////////////// // MOG2 #ifdef HAVE_VIDEO_INPUT DEF_PARAM_TEST(Video_Cn, string, int); PERF_TEST_P(Video_Cn, DISABLED_MOG2, Combine(Values("cv/video/768x576.avi", "cv/video/1920x1080.avi"), CUDA_CHANNELS_1_3_4)) { const int numIters = 10; 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_CUDA()) { cv::Ptr d_mog2 = cv::cuda::createBackgroundSubtractorMOG2(); d_mog2->setDetectShadows(false); cv::cuda::GpuMat d_frame(frame); cv::cuda::GpuMat foreground; d_mog2->apply(d_frame, foreground); int i = 0; // collect performance data for (; i < numIters; ++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(); if(!next()) break; d_mog2->apply(d_frame, foreground); stopTimer(); } // process last frame in sequence to get data for sanity test for (; i < numIters; ++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, foreground); } CUDA_SANITY_CHECK(foreground); } else { cv::Ptr mog2 = cv::createBackgroundSubtractorMOG2(); mog2->setDetectShadows(false); cv::Mat foreground; mog2->apply(frame, foreground); int i = 0; // collect performance data for (; i < numIters; ++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(); if(!next()) break; mog2->apply(frame, foreground); stopTimer(); } // process last frame in sequence to get data for sanity test for (; i < numIters; ++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); } CPU_SANITY_CHECK(foreground); } } #endif ////////////////////////////////////////////////////// // MOG2GetBackgroundImage #ifdef HAVE_VIDEO_INPUT PERF_TEST_P(Video_Cn, MOG2GetBackgroundImage, Combine(Values("cv/video/768x576.avi", "cv/video/1920x1080.avi"), CUDA_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_CUDA()) { cv::Ptr d_mog2 = cv::cuda::createBackgroundSubtractorMOG2(); cv::cuda::GpuMat d_frame; cv::cuda::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::cuda::GpuMat background; TEST_CYCLE() d_mog2->getBackgroundImage(background); CUDA_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 }} // namespace