Merge remote-tracking branch 'origin/2.4' into merge-2.4
Conflicts: .gitignore doc/tutorials/objdetect/cascade_classifier/cascade_classifier.rst modules/gpu/src/match_template.cpp modules/imgproc/include/opencv2/imgproc/imgproc.hpp modules/ocl/include/opencv2/ocl/ocl.hpp modules/ocl/perf/perf_precomp.hpp
This commit is contained in:
Roman Donchenko
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modules/ocl/test/test_bgfg.cpp
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modules/ocl/test/test_bgfg.cpp
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/*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 oclMaterials 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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extern string workdir;
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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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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(frame.size(), CV_8UC1, useRoi);
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Ptr<cv::BackgroundSubtractorMOG> mog_gold = createBackgroundSubtractorMOG();
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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(frame, useRoi), foreground, (float)learningRate);
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mog_gold->apply(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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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(frame.size(), CV_8UC1, useRoi);
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cv::Ptr<cv::BackgroundSubtractorMOG2> mog2_gold = createBackgroundSubtractorMOG2();
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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(frame, useRoi), foreground);
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mog2_gold->apply(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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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::Ptr<cv::BackgroundSubtractorMOG2> mog2_gold = createBackgroundSubtractorMOG2();
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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(frame, useRoi), foreground);
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mog2_gold->apply(frame, foreground_gold);
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}
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cv::ocl::oclMat background = createMat_ocl(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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