393 lines
10 KiB
C++
393 lines
10 KiB
C++
/*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) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2009, Willow Garage 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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// 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 "perf_precomp.hpp"
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namespace opencv_test { namespace {
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//////////////////////////////////////////////////////
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// MOG
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#ifdef HAVE_VIDEO_INPUT
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DEF_PARAM_TEST(Video_Cn_LearningRate, string, MatCn, double);
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PERF_TEST_P(Video_Cn_LearningRate, MOG,
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Combine(Values("gpu/video/768x576.avi", "gpu/video/1920x1080.avi"),
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CUDA_CHANNELS_1_3_4,
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Values(0.0, 0.01)))
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{
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const int numIters = 10;
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const string inputFile = perf::TestBase::getDataPath(GET_PARAM(0));
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const int cn = GET_PARAM(1);
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const float learningRate = static_cast<float>(GET_PARAM(2));
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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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if (cn != 3)
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{
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cv::Mat temp;
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if (cn == 1)
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cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY);
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else
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cv::cvtColor(frame, temp, cv::COLOR_BGR2BGRA);
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cv::swap(temp, frame);
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}
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if (PERF_RUN_CUDA())
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{
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cv::Ptr<cv::BackgroundSubtractor> d_mog = cv::cuda::createBackgroundSubtractorMOG();
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cv::cuda::GpuMat d_frame(frame);
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cv::cuda::GpuMat foreground;
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d_mog->apply(d_frame, foreground, learningRate);
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int i = 0;
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// collect performance data
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for (; i < numIters; ++i)
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{
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cap >> frame;
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ASSERT_FALSE(frame.empty());
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if (cn != 3)
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{
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cv::Mat temp;
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if (cn == 1)
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cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY);
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else
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cv::cvtColor(frame, temp, cv::COLOR_BGR2BGRA);
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cv::swap(temp, frame);
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}
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d_frame.upload(frame);
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startTimer();
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if(!next())
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break;
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d_mog->apply(d_frame, foreground, learningRate);
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stopTimer();
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}
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// process last frame in sequence to get data for sanity test
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for (; i < numIters; ++i)
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{
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cap >> frame;
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ASSERT_FALSE(frame.empty());
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if (cn != 3)
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{
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cv::Mat temp;
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if (cn == 1)
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cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY);
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else
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cv::cvtColor(frame, temp, cv::COLOR_BGR2BGRA);
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cv::swap(temp, frame);
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}
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d_frame.upload(frame);
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d_mog->apply(d_frame, foreground, learningRate);
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}
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CUDA_SANITY_CHECK(foreground);
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}
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else
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{
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FAIL_NO_CPU();
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}
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}
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#endif
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//////////////////////////////////////////////////////
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// MOG2
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#ifdef HAVE_VIDEO_INPUT
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DEF_PARAM_TEST(Video_Cn, string, int);
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PERF_TEST_P(Video_Cn, DISABLED_MOG2,
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Combine(Values("gpu/video/768x576.avi", "gpu/video/1920x1080.avi"),
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CUDA_CHANNELS_1_3_4))
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{
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const int numIters = 10;
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const string inputFile = perf::TestBase::getDataPath(GET_PARAM(0));
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const int cn = GET_PARAM(1);
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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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if (cn != 3)
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{
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cv::Mat temp;
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if (cn == 1)
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cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY);
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else
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cv::cvtColor(frame, temp, cv::COLOR_BGR2BGRA);
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cv::swap(temp, frame);
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}
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if (PERF_RUN_CUDA())
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{
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cv::Ptr<cv::BackgroundSubtractorMOG2> d_mog2 = cv::cuda::createBackgroundSubtractorMOG2();
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d_mog2->setDetectShadows(false);
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cv::cuda::GpuMat d_frame(frame);
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cv::cuda::GpuMat foreground;
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d_mog2->apply(d_frame, foreground);
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int i = 0;
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// collect performance data
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for (; i < numIters; ++i)
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{
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cap >> frame;
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ASSERT_FALSE(frame.empty());
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if (cn != 3)
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{
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cv::Mat temp;
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if (cn == 1)
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cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY);
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else
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cv::cvtColor(frame, temp, cv::COLOR_BGR2BGRA);
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cv::swap(temp, frame);
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}
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d_frame.upload(frame);
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startTimer();
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if(!next())
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break;
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d_mog2->apply(d_frame, foreground);
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stopTimer();
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}
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// process last frame in sequence to get data for sanity test
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for (; i < numIters; ++i)
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{
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cap >> frame;
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ASSERT_FALSE(frame.empty());
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if (cn != 3)
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{
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cv::Mat temp;
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if (cn == 1)
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cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY);
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else
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cv::cvtColor(frame, temp, cv::COLOR_BGR2BGRA);
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cv::swap(temp, frame);
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}
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d_frame.upload(frame);
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d_mog2->apply(d_frame, foreground);
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}
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CUDA_SANITY_CHECK(foreground);
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}
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else
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{
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cv::Ptr<cv::BackgroundSubtractorMOG2> mog2 = cv::createBackgroundSubtractorMOG2();
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mog2->setDetectShadows(false);
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cv::Mat foreground;
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mog2->apply(frame, foreground);
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int i = 0;
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// collect performance data
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for (; i < numIters; ++i)
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{
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cap >> frame;
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ASSERT_FALSE(frame.empty());
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if (cn != 3)
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{
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cv::Mat temp;
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if (cn == 1)
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cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY);
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else
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cv::cvtColor(frame, temp, cv::COLOR_BGR2BGRA);
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cv::swap(temp, frame);
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}
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startTimer();
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if(!next())
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break;
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mog2->apply(frame, foreground);
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stopTimer();
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}
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// process last frame in sequence to get data for sanity test
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for (; i < numIters; ++i)
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{
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cap >> frame;
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ASSERT_FALSE(frame.empty());
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if (cn != 3)
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{
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cv::Mat temp;
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if (cn == 1)
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cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY);
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else
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cv::cvtColor(frame, temp, cv::COLOR_BGR2BGRA);
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cv::swap(temp, frame);
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}
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mog2->apply(frame, foreground);
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}
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CPU_SANITY_CHECK(foreground);
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}
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}
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#endif
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//////////////////////////////////////////////////////
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// MOG2GetBackgroundImage
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#ifdef HAVE_VIDEO_INPUT
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PERF_TEST_P(Video_Cn, MOG2GetBackgroundImage,
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Combine(Values("gpu/video/768x576.avi", "gpu/video/1920x1080.avi"),
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CUDA_CHANNELS_1_3_4))
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{
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const string inputFile = perf::TestBase::getDataPath(GET_PARAM(0));
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const int cn = GET_PARAM(1);
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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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if (PERF_RUN_CUDA())
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{
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cv::Ptr<cv::BackgroundSubtractor> d_mog2 = cv::cuda::createBackgroundSubtractorMOG2();
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cv::cuda::GpuMat d_frame;
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cv::cuda::GpuMat d_foreground;
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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 (cn != 3)
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{
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cv::Mat temp;
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if (cn == 1)
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cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY);
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else
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cv::cvtColor(frame, temp, cv::COLOR_BGR2BGRA);
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cv::swap(temp, frame);
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}
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d_frame.upload(frame);
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d_mog2->apply(d_frame, d_foreground);
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}
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cv::cuda::GpuMat background;
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TEST_CYCLE() d_mog2->getBackgroundImage(background);
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CUDA_SANITY_CHECK(background, 1);
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}
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else
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{
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cv::Ptr<cv::BackgroundSubtractor> mog2 = cv::createBackgroundSubtractorMOG2();
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cv::Mat foreground;
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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 (cn != 3)
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{
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cv::Mat temp;
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if (cn == 1)
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cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY);
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else
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cv::cvtColor(frame, temp, cv::COLOR_BGR2BGRA);
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cv::swap(temp, frame);
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}
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mog2->apply(frame, foreground);
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}
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cv::Mat background;
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TEST_CYCLE() mog2->getBackgroundImage(background);
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CPU_SANITY_CHECK(background);
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}
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}
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#endif
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}} // namespace
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