/*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) 2010-2013, Multicoreware, Inc., all rights reserved. // Copyright (C) 2010-2013, Advanced Micro Devices, Inc., all rights reserved. // Third party copyrights are property of their respective owners. // // @Authors // Jin Ma, jin@multicorewareinc.com // // 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 oclMaterials 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 "test_precomp.hpp" #ifdef HAVE_OPENCL using namespace cv; using namespace cv::ocl; using namespace cvtest; using namespace testing; using namespace std; extern string workdir; ////////////////////////////////////////////////////// // MOG namespace { IMPLEMENT_PARAM_CLASS(UseGray, bool) IMPLEMENT_PARAM_CLASS(LearningRate, double) } PARAM_TEST_CASE(mog, UseGray, LearningRate, bool) { bool useGray; double learningRate; bool useRoi; virtual void SetUp() { useGray = GET_PARAM(0); learningRate = GET_PARAM(1); useRoi = GET_PARAM(2); } }; TEST_P(mog, Update) { std::string inputFile = string(cvtest::TS::ptr()->get_data_path()) + "gpu/768x576.avi"; cv::VideoCapture cap(inputFile); ASSERT_TRUE(cap.isOpened()); cv::Mat frame; cap >> frame; ASSERT_FALSE(frame.empty()); cv::ocl::MOG mog; cv::ocl::oclMat foreground = createMat_ocl(frame.size(), CV_8UC1, useRoi); cv::BackgroundSubtractorMOG mog_gold; cv::Mat foreground_gold; for (int i = 0; i < 10; ++i) { cap >> frame; ASSERT_FALSE(frame.empty()); if (useGray) { cv::Mat temp; cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY); cv::swap(temp, frame); } mog(loadMat_ocl(frame, useRoi), foreground, (float)learningRate); mog_gold(frame, foreground_gold, learningRate); EXPECT_MAT_NEAR(foreground_gold, foreground, 0.0); } } INSTANTIATE_TEST_CASE_P(OCL_Video, mog, testing::Combine( testing::Values(UseGray(false), UseGray(true)), testing::Values(LearningRate(0.0), LearningRate(0.01)), Values(true, false))); ////////////////////////////////////////////////////// // MOG2 namespace { IMPLEMENT_PARAM_CLASS(DetectShadow, bool) } PARAM_TEST_CASE(mog2, UseGray, DetectShadow, bool) { bool useGray; bool detectShadow; bool useRoi; virtual void SetUp() { useGray = GET_PARAM(0); detectShadow = GET_PARAM(1); useRoi = GET_PARAM(2); } }; TEST_P(mog2, Update) { std::string inputFile = string(cvtest::TS::ptr()->get_data_path()) + "gpu/768x576.avi"; cv::VideoCapture cap(inputFile); ASSERT_TRUE(cap.isOpened()); cv::Mat frame; cap >> frame; ASSERT_FALSE(frame.empty()); cv::ocl::MOG2 mog2; mog2.bShadowDetection = detectShadow; cv::ocl::oclMat foreground = createMat_ocl(frame.size(), CV_8UC1, useRoi); cv::BackgroundSubtractorMOG2 mog2_gold; mog2_gold.set("detectShadows", detectShadow); cv::Mat foreground_gold; for (int i = 0; i < 10; ++i) { cap >> frame; ASSERT_FALSE(frame.empty()); if (useGray) { cv::Mat temp; cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY); cv::swap(temp, frame); } mog2(loadMat_ocl(frame, useRoi), foreground); mog2_gold(frame, foreground_gold); if (detectShadow) { EXPECT_MAT_SIMILAR(foreground_gold, foreground, 1e-2); } else { EXPECT_MAT_NEAR(foreground_gold, foreground, 0); } } } TEST_P(mog2, getBackgroundImage) { if (useGray) return; std::string inputFile = string(cvtest::TS::ptr()->get_data_path()) + "video/768x576.avi"; cv::VideoCapture cap(inputFile); ASSERT_TRUE(cap.isOpened()); cv::Mat frame; cv::ocl::MOG2 mog2; mog2.bShadowDetection = detectShadow; cv::ocl::oclMat foreground; cv::BackgroundSubtractorMOG2 mog2_gold; mog2_gold.set("detectShadows", detectShadow); cv::Mat foreground_gold; for (int i = 0; i < 10; ++i) { cap >> frame; ASSERT_FALSE(frame.empty()); mog2(loadMat_ocl(frame, useRoi), foreground); mog2_gold(frame, foreground_gold); } cv::ocl::oclMat background = createMat_ocl(frame.size(), frame.type(), useRoi); mog2.getBackgroundImage(background); cv::Mat background_gold; mog2_gold.getBackgroundImage(background_gold); EXPECT_MAT_NEAR(background_gold, background, 1.0); } INSTANTIATE_TEST_CASE_P(OCL_Video, mog2, testing::Combine( testing::Values(UseGray(true), UseGray(false)), testing::Values(DetectShadow(true), DetectShadow(false)), Values(true, false))); #endif