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Open Source Computer Vision Library
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240 lines
6.7 KiB
240 lines
6.7 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) 2010-2013, Multicoreware, Inc., all rights reserved. |
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// Copyright (C) 2010-2013, 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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// 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 "test_precomp.hpp" |
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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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#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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////////////////////////////////////////////////////// |
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// MOG |
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namespace |
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{ |
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IMPLEMENT_PARAM_CLASS(UseGray, bool) |
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IMPLEMENT_PARAM_CLASS(LearningRate, double) |
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} |
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PARAM_TEST_CASE(mog, UseGray, LearningRate, bool) |
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{ |
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bool useGray; |
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double learningRate; |
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bool useRoi; |
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virtual void SetUp() |
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{ |
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useGray = GET_PARAM(0); |
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learningRate = GET_PARAM(1); |
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useRoi = GET_PARAM(2); |
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} |
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}; |
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OCL_TEST_P(mog, Update) |
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{ |
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std::string inputFile = string(cvtest::TS::ptr()->get_data_path()) + "gpu/video/768x576.avi"; |
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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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cv::ocl::MOG mog; |
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cv::ocl::oclMat foreground = createMat_ocl(rng, frame.size(), CV_8UC1, useRoi); |
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cv::BackgroundSubtractorMOG mog_gold; |
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cv::Mat foreground_gold; |
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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 (useGray) |
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{ |
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cv::Mat temp; |
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cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY); |
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cv::swap(temp, frame); |
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} |
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mog(loadMat_ocl(rng, frame, useRoi), foreground, (float)learningRate); |
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mog_gold(frame, foreground_gold, learningRate); |
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EXPECT_MAT_NEAR(foreground_gold, foreground, 0.0); |
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} |
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} |
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INSTANTIATE_TEST_CASE_P(OCL_Video, mog, testing::Combine( |
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testing::Values(UseGray(false), UseGray(true)), |
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testing::Values(LearningRate(0.0), LearningRate(0.01)), |
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Values(true, false))); |
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////////////////////////////////////////////////////// |
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// MOG2 |
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namespace |
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{ |
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IMPLEMENT_PARAM_CLASS(DetectShadow, bool) |
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} |
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PARAM_TEST_CASE(mog2, UseGray, DetectShadow, bool) |
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{ |
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bool useGray; |
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bool detectShadow; |
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bool useRoi; |
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virtual void SetUp() |
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{ |
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useGray = GET_PARAM(0); |
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detectShadow = GET_PARAM(1); |
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useRoi = GET_PARAM(2); |
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} |
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}; |
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OCL_TEST_P(mog2, Update) |
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{ |
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std::string inputFile = string(cvtest::TS::ptr()->get_data_path()) + "gpu/video/768x576.avi"; |
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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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cv::ocl::MOG2 mog2; |
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mog2.bShadowDetection = detectShadow; |
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cv::ocl::oclMat foreground = createMat_ocl(rng, frame.size(), CV_8UC1, useRoi); |
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cv::BackgroundSubtractorMOG2 mog2_gold; |
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mog2_gold.set("detectShadows", detectShadow); |
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cv::Mat foreground_gold; |
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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 (useGray) |
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{ |
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cv::Mat temp; |
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cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY); |
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cv::swap(temp, frame); |
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} |
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mog2(loadMat_ocl(rng, frame, useRoi), foreground); |
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mog2_gold(frame, foreground_gold); |
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if (detectShadow) |
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EXPECT_MAT_SIMILAR(foreground_gold, foreground, 15e-3) |
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else |
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EXPECT_MAT_NEAR(foreground_gold, foreground, 0) |
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} |
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} |
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OCL_TEST_P(mog2, getBackgroundImage) |
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{ |
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if (useGray) |
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return; |
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std::string inputFile = string(cvtest::TS::ptr()->get_data_path()) + "gpu/video/768x576.avi"; |
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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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cv::ocl::MOG2 mog2; |
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mog2.bShadowDetection = detectShadow; |
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cv::ocl::oclMat foreground; |
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cv::BackgroundSubtractorMOG2 mog2_gold; |
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mog2_gold.set("detectShadows", detectShadow); |
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cv::Mat foreground_gold; |
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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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mog2(loadMat_ocl(rng, frame, useRoi), foreground); |
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mog2_gold(frame, foreground_gold); |
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} |
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cv::ocl::oclMat background = createMat_ocl(rng, frame.size(), frame.type(), useRoi); |
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mog2.getBackgroundImage(background); |
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cv::Mat background_gold; |
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mog2_gold.getBackgroundImage(background_gold); |
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EXPECT_MAT_NEAR(background_gold, background, 1.0); |
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} |
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INSTANTIATE_TEST_CASE_P(OCL_Video, mog2, testing::Combine( |
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testing::Values(UseGray(true), UseGray(false)), |
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testing::Values(DetectShadow(true), DetectShadow(false)), |
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Values(true, false))); |
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#endif |
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#endif
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