modules/ocl/perf/perf_bgfg.cpp

   1 /*M///////////////////////////////////////////////////////////////////////////////////////
   2 //
   3 //  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
   4 //
   5 //  By downloading, copying, installing or using the software you agree to this license.
   6 //  If you do not agree to this license, do not download, install,
   7 //  copy or use the software.
   8 //
   9 //
  10 //                           License Agreement
  11 //                For Open Source Computer Vision Library
  12 //
  13 // Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
  14 // Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
  15 // Third party copyrights are property of their respective owners.
  16 //
  17 // @Authors
  18 //    Fangfang Bai, fangfang@multicorewareinc.com
  19 //    Jin Ma,       jin@multicorewareinc.com
  20 //
  21 // Redistribution and use in source and binary forms, with or without modification,
  22 // are permitted provided that the following conditions are met:
  23 //
  24 //   * Redistribution's of source code must retain the above copyright notice,
  25 //     this list of conditions and the following disclaimer.
  26 //
  27 //   * Redistribution's in binary form must reproduce the above copyright notice,
  28 //     this list of conditions and the following disclaimer in the documentation
  29 //     and/or other oclMaterials provided with the distribution.
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  31 //   * The name of the copyright holders may not be used to endorse or promote products
  32 //     derived from this software without specific prior written permission.
  33 //
  34 // This software is provided by the copyright holders and contributors as is and
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  42 // or tort (including negligence or otherwise) arising in any way out of
  43 // the use of this software, even if advised of the possibility of such damage.
  44 //
  45 //M*/
  46 #include "perf_precomp.hpp"
  47
  48 using namespace perf;
  49 using namespace std;
  50 using namespace cv::ocl;
  51 using namespace cv;
  52 using std::tr1::tuple;
  53 using std::tr1::get;
  54
  55 #if defined(HAVE_XINE)         || \
  56     defined(HAVE_GSTREAMER)    || \
  57     defined(HAVE_QUICKTIME)    || \
  58     defined(HAVE_AVFOUNDATION) || \
  59     defined(HAVE_FFMPEG)       || \
  60     defined(WIN32)
  61
  62 #  define BUILD_WITH_VIDEO_INPUT_SUPPORT 1
  63 #else
  64 #  define BUILD_WITH_VIDEO_INPUT_SUPPORT 0
  65 #endif
  66
  67 #if BUILD_WITH_VIDEO_INPUT_SUPPORT
  68
  69 static void cvtFrameFmt(vector<Mat>& input, vector<Mat>& output)
  70 {
  71     for(int i = 0; i< (int)(input.size()); i++)
  72     {
  73         cvtColor(input[i], output[i], COLOR_RGB2GRAY);
  74     }
  75 }
  76
  77 //prepare data for CPU
  78 static void prepareData(VideoCapture& cap, int cn, vector<Mat>& frame_buffer)
  79 {
  80     cv::Mat frame;
  81     std::vector<Mat> frame_buffer_init;
  82     int nFrame = (int)frame_buffer.size();
  83     for(int i = 0; i < nFrame; i++)
  84     {
  85         cap >> frame;
  86         ASSERT_FALSE(frame.empty());
  87         frame_buffer_init.push_back(frame);
  88     }
  89
  90     if(cn == 1)
  91         cvtFrameFmt(frame_buffer_init, frame_buffer);
  92     else
  93         frame_buffer = frame_buffer_init;
  94 }
  95
  96 //copy CPU data to GPU
  97 static void prepareData(vector<Mat>& frame_buffer, vector<oclMat>& frame_buffer_ocl)
  98 {
  99     for(int i = 0; i < (int)frame_buffer.size(); i++)
 100         frame_buffer_ocl.push_back(cv::ocl::oclMat(frame_buffer[i]));
 101 }
 102
 103 ///////////// MOG ////////////////////////
 104
 105 typedef tuple<string, int, double> VideoMOGParamType;
 106 typedef TestBaseWithParam<VideoMOGParamType> VideoMOGFixture;
 107
 108 PERF_TEST_P(VideoMOGFixture, MOG,
 109             ::testing::Combine(::testing::Values("gpu/video/768x576.avi", "gpu/video/1920x1080.avi"),
 110             ::testing::Values(1, 3),
 111             ::testing::Values(0.0, 0.01)))
 112 {
 113     VideoMOGParamType params = GetParam();
 114
 115     const string inputFile = perf::TestBase::getDataPath(get<0>(params));
 116     const int cn = get<1>(params);
 117     const float learningRate = static_cast<float>(get<2>(params));
 118
 119     const int nFrame = 5;
 120
 121     Mat foreground_cpu;
 122     std::vector<Mat> frame_buffer(nFrame);
 123     std::vector<oclMat> frame_buffer_ocl;
 124
 125     cv::VideoCapture cap(inputFile);
 126     ASSERT_TRUE(cap.isOpened());
 127
 128     prepareData(cap, cn, frame_buffer);
 129
 130     cv::Mat foreground;
 131     cv::ocl::oclMat foreground_d;
 132     if(RUN_PLAIN_IMPL)
 133     {
 134         TEST_CYCLE()
 135         {
 136             cv::Ptr<cv::BackgroundSubtractorMOG> mog = createBackgroundSubtractorMOG();
 137             foreground.release();
 138             for (int i = 0; i < nFrame; i++)
 139             {
 140                 mog->apply(frame_buffer[i], foreground, learningRate);
 141             }
 142         }
 143         SANITY_CHECK(foreground);
 144     }
 145     else if(RUN_OCL_IMPL)
 146     {
 147         prepareData(frame_buffer, frame_buffer_ocl);
 148         CV_Assert((int)(frame_buffer_ocl.size()) == nFrame);
 149         OCL_TEST_CYCLE()
 150         {
 151             cv::ocl::MOG d_mog;
 152             foreground_d.release();
 153             for (int i = 0; i < nFrame; ++i)
 154             {
 155                 d_mog(frame_buffer_ocl[i], foreground_d, learningRate);
 156             }
 157         }
 158         foreground_d.download(foreground);
 159         SANITY_CHECK(foreground);
 160     }
 161     else
 162         OCL_PERF_ELSE
 163 }
 164
 165 ///////////// MOG2 ////////////////////////
 166
 167 typedef tuple<string, int> VideoMOG2ParamType;
 168 typedef TestBaseWithParam<VideoMOG2ParamType> VideoMOG2Fixture;
 169
 170 PERF_TEST_P(VideoMOG2Fixture, DISABLED_MOG2, // TODO Disabled: random hungs on buildslave
 171             ::testing::Combine(::testing::Values("gpu/video/768x576.avi", "gpu/video/1920x1080.avi"),
 172             ::testing::Values(1, 3)))
 173 {
 174     VideoMOG2ParamType params = GetParam();
 175
 176     const string inputFile = perf::TestBase::getDataPath(get<0>(params));
 177     const int cn = get<1>(params);
 178     int nFrame = 5;
 179
 180     std::vector<cv::Mat> frame_buffer(nFrame);
 181     std::vector<cv::ocl::oclMat> frame_buffer_ocl;
 182
 183     cv::VideoCapture cap(inputFile);
 184     ASSERT_TRUE(cap.isOpened());
 185     prepareData(cap, cn, frame_buffer);
 186     cv::Mat foreground;
 187     cv::ocl::oclMat foreground_d;
 188
 189     if(RUN_PLAIN_IMPL)
 190     {
 191         TEST_CYCLE()
 192         {
 193             cv::Ptr<cv::BackgroundSubtractorMOG2> mog2 = createBackgroundSubtractorMOG2();
 194             mog2->setDetectShadows(false);
 195             foreground.release();
 196
 197             for (int i = 0; i < nFrame; i++)
 198             {
 199                 mog2->apply(frame_buffer[i], foreground);
 200             }
 201         }
 202         SANITY_CHECK(foreground);
 203     }
 204     else if(RUN_OCL_IMPL)
 205     {
 206         prepareData(frame_buffer, frame_buffer_ocl);
 207         CV_Assert((int)(frame_buffer_ocl.size()) == nFrame);
 208         OCL_TEST_CYCLE()
 209         {
 210             cv::ocl::MOG2 d_mog2;
 211             foreground_d.release();
 212             for (int i = 0; i < nFrame; i++)
 213             {
 214                 d_mog2(frame_buffer_ocl[i], foreground_d);
 215             }
 216         }
 217         foreground_d.download(foreground);
 218         SANITY_CHECK(foreground);
 219     }
 220     else
 221         OCL_PERF_ELSE
 222 }
 223
 224 ///////////// MOG2_GetBackgroundImage //////////////////
 225
 226 typedef TestBaseWithParam<VideoMOG2ParamType> Video_MOG2GetBackgroundImage;
 227
 228 PERF_TEST_P(Video_MOG2GetBackgroundImage, MOG2,
 229             ::testing::Combine(::testing::Values("gpu/video/768x576.avi", "gpu/video/1920x1080.avi"),
 230             ::testing::Values(3)))
 231 {
 232     VideoMOG2ParamType params = GetParam();
 233
 234     const string inputFile = perf::TestBase::getDataPath(get<0>(params));
 235     const int cn = get<1>(params);
 236     int nFrame = 5;
 237
 238     std::vector<cv::Mat> frame_buffer(nFrame);
 239     std::vector<cv::ocl::oclMat> frame_buffer_ocl;
 240
 241     cv::VideoCapture cap(inputFile);
 242     ASSERT_TRUE(cap.isOpened());
 243
 244     prepareData(cap, cn, frame_buffer);
 245
 246     cv::Mat foreground;
 247     cv::Mat background;
 248     cv::ocl::oclMat foreground_d;
 249     cv::ocl::oclMat background_d;
 250
 251     if(RUN_PLAIN_IMPL)
 252     {
 253         TEST_CYCLE()
 254         {
 255             cv::Ptr<cv::BackgroundSubtractorMOG2> mog2 = createBackgroundSubtractorMOG2();
 256             mog2->setDetectShadows(false);
 257             foreground.release();
 258             background.release();
 259             for (int i = 0; i < nFrame; i++)
 260             {
 261                 mog2->apply(frame_buffer[i], foreground);
 262             }
 263             mog2->getBackgroundImage(background);
 264         }
 265         SANITY_CHECK(background);
 266     }
 267     else if(RUN_OCL_IMPL)
 268     {
 269         prepareData(frame_buffer, frame_buffer_ocl);
 270         CV_Assert((int)(frame_buffer_ocl.size()) == nFrame);
 271         OCL_TEST_CYCLE()
 272         {
 273             cv::ocl::MOG2 d_mog2;
 274             foreground_d.release();
 275             background_d.release();
 276             for (int i = 0; i < nFrame; i++)
 277             {
 278                 d_mog2(frame_buffer_ocl[i], foreground_d);
 279             }
 280             d_mog2.getBackgroundImage(background_d);
 281         }
 282         background_d.download(background);
 283         SANITY_CHECK(background);
 284     }
 285     else
 286         OCL_PERF_ELSE
 287 }
 288
 289 #endif