Merge pull request #1396 from melody-rain:2.4_perf_bgfg_cpp

modules/ocl/perf/perf_bgfg.cpp

+/*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) 2010-2012, Multicoreware, Inc., all rights reserved.
+// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
+// Third party copyrights are property of their respective owners.
+//
+// @Authors
+//    Fangfang Bai, fangfang@multicorewareinc.com
+//    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 "perf_precomp.hpp"
+using namespace perf;
+using namespace std;
+using namespace cv::ocl;
+using namespace cv;
+using std::tr1::tuple;
+using std::tr1::get;
+#if defined(HAVE_XINE)         || \
+    defined(HAVE_GSTREAMER)    || \
+    defined(HAVE_QUICKTIME)    || \
+    defined(HAVE_AVFOUNDATION) || \
+    defined(HAVE_FFMPEG)       || \
+    defined(WIN32)
+
+#  define BUILD_WITH_VIDEO_INPUT_SUPPORT 1
+#else
+#  define BUILD_WITH_VIDEO_INPUT_SUPPORT 0
+#endif
+
+#if BUILD_WITH_VIDEO_INPUT_SUPPORT
+static void cvtFrameFmt(vector<Mat>& input, vector<Mat>& output)
+{
+    for(int i = 0; i< (int)(input.size()); i++)
+    {
+        cvtColor(input[i], output[i], COLOR_RGB2GRAY);
+    }
+}
+//prepare data for CPU
+static void prepareData(VideoCapture& cap, int cn, vector<Mat>& frame_buffer)
+{
+    cv::Mat frame;
+    std::vector<Mat> frame_buffer_init;
+    int nFrame = (int)frame_buffer.size();
+    for(int i = 0; i < nFrame; i++)
+    {
+        cap >> frame;
+        ASSERT_FALSE(frame.empty());
+        frame_buffer_init.push_back(frame);
+    }
+
+    if(cn == 1)
+        cvtFrameFmt(frame_buffer_init, frame_buffer);
+    else
+        frame_buffer = frame_buffer_init;
+}
+//copy CPU data to GPU
+static void prepareData(vector<Mat>& frame_buffer, vector<oclMat>& frame_buffer_ocl)
+{
+    for(int i = 0; i < (int)frame_buffer.size(); i++)
+        frame_buffer_ocl.push_back(cv::ocl::oclMat(frame_buffer[i]));
+}
+#endif
+///////////// MOG ////////////////////////
+#if BUILD_WITH_VIDEO_INPUT_SUPPORT
+
+typedef tuple<string, int, double> VideoMOGParamType;
+typedef TestBaseWithParam<VideoMOGParamType> VideoMOGFixture;
+
+PERF_TEST_P(VideoMOGFixture, MOG,
+            ::testing::Combine(::testing::Values("gpu/video/768x576.avi", "gpu/video/1920x1080.avi"),
+            ::testing::Values(1, 3),
+            ::testing::Values(0.0, 0.01)))
+{
+    VideoMOGParamType params = GetParam();
+
+    const string inputFile = perf::TestBase::getDataPath(get<0>(params));
+    const int cn = get<1>(params);
+    const float learningRate = static_cast<float>(get<2>(params));
+
+    const int nFrame = 5;
+
+    Mat foreground_cpu;
+    std::vector<Mat> frame_buffer(nFrame);
+    std::vector<oclMat> frame_buffer_ocl;
+
+    cv::VideoCapture cap(inputFile);
+    ASSERT_TRUE(cap.isOpened());
+
+    prepareData(cap, cn, frame_buffer);
+
+    cv::Mat foreground;
+    cv::ocl::oclMat foreground_d;
+    if(RUN_PLAIN_IMPL)
+    {
+        TEST_CYCLE()
+        {
+            cv::BackgroundSubtractorMOG mog;
+            foreground.release();
+            for (int i = 0; i < nFrame; i++)
+            {
+                mog(frame_buffer[i], foreground, learningRate);
+            }
+        }
+        SANITY_CHECK(foreground);
+    }else if(RUN_OCL_IMPL)
+    {
+        prepareData(frame_buffer, frame_buffer_ocl);
+        CV_Assert((int)(frame_buffer_ocl.size()) == nFrame);
+        OCL_TEST_CYCLE()
+        {
+            cv::ocl::MOG d_mog;
+            foreground_d.release();
+            for (int i = 0; i < nFrame; ++i)
+            {
+                d_mog(frame_buffer_ocl[i], foreground_d, learningRate);
+            }
+        }
+        foreground_d.download(foreground);
+        SANITY_CHECK(foreground);
+    }else
+        OCL_PERF_ELSE
+}
+#endif
+
+///////////// MOG2 ////////////////////////
+#if BUILD_WITH_VIDEO_INPUT_SUPPORT
+
+typedef tuple<string, int> VideoMOG2ParamType;
+typedef TestBaseWithParam<VideoMOG2ParamType> VideoMOG2Fixture;
+
+PERF_TEST_P(VideoMOG2Fixture, MOG2,
+            ::testing::Combine(::testing::Values("gpu/video/768x576.avi", "gpu/video/1920x1080.avi"),
+            ::testing::Values(1, 3)))
+{
+    VideoMOG2ParamType params = GetParam();
+
+    const string inputFile = perf::TestBase::getDataPath(get<0>(params));
+    const int cn = get<1>(params);
+    int nFrame = 5;
+
+    std::vector<cv::Mat> frame_buffer(nFrame);
+    std::vector<cv::ocl::oclMat> frame_buffer_ocl;
+
+    cv::VideoCapture cap(inputFile);
+    ASSERT_TRUE(cap.isOpened());
+    prepareData(cap, cn, frame_buffer);
+    cv::Mat foreground;
+    cv::ocl::oclMat foreground_d;
+
+    if(RUN_PLAIN_IMPL)
+    {
+        TEST_CYCLE()
+        {
+            cv::BackgroundSubtractorMOG2 mog2;
+            mog2.set("detectShadows", false);
+            foreground.release();
+
+            for (int i = 0; i < nFrame; i++)
+            {
+                mog2(frame_buffer[i], foreground);
+            }
+        }
+        SANITY_CHECK(foreground);
+    }else if(RUN_OCL_IMPL)
+    {
+        prepareData(frame_buffer, frame_buffer_ocl);
+        CV_Assert((int)(frame_buffer_ocl.size()) == nFrame);
+        OCL_TEST_CYCLE()
+        {
+            cv::ocl::MOG2 d_mog2;
+            foreground_d.release();
+            for (int i = 0; i < nFrame; i++)
+            {
+                d_mog2(frame_buffer_ocl[i], foreground_d);
+            }
+        }
+        foreground_d.download(foreground);
+        SANITY_CHECK(foreground);
+    }else
+        OCL_PERF_ELSE
+}
+#endif
+
+///////////// MOG2_GetBackgroundImage //////////////////
+#if BUILD_WITH_VIDEO_INPUT_SUPPORT
+
+typedef TestBaseWithParam<VideoMOG2ParamType> Video_MOG2GetBackgroundImage;
+
+PERF_TEST_P(Video_MOG2GetBackgroundImage, MOG2,
+            ::testing::Combine(::testing::Values("gpu/video/768x576.avi", "gpu/video/1920x1080.avi"),
+            ::testing::Values(3)))
+{
+    VideoMOG2ParamType params = GetParam();
+
+    const string inputFile = perf::TestBase::getDataPath(get<0>(params));
+    const int cn = get<1>(params);
+    int nFrame = 5;
+
+    std::vector<cv::Mat> frame_buffer(nFrame);
+    std::vector<cv::ocl::oclMat> frame_buffer_ocl;
+
+    cv::VideoCapture cap(inputFile);
+    ASSERT_TRUE(cap.isOpened());
+
+    prepareData(cap, cn, frame_buffer);
+
+    cv::Mat foreground;
+    cv::Mat background;
+    cv::ocl::oclMat foreground_d;
+    cv::ocl::oclMat background_d;
+
+    if(RUN_PLAIN_IMPL)
+    {
+        TEST_CYCLE()
+        {
+            cv::BackgroundSubtractorMOG2 mog2;
+            mog2.set("detectShadows", false);
+            foreground.release();
+            background.release();
+            for (int i = 0; i < nFrame; i++)
+            {
+                mog2(frame_buffer[i], foreground);
+            }
+            mog2.getBackgroundImage(background);
+        }
+        SANITY_CHECK(background);
+    }else if(RUN_OCL_IMPL)
+    {
+        prepareData(frame_buffer, frame_buffer_ocl);
+        CV_Assert((int)(frame_buffer_ocl.size()) == nFrame);
+        OCL_TEST_CYCLE()
+        {
+            cv::ocl::MOG2 d_mog2;
+            foreground_d.release();
+            background_d.release();
+            for (int i = 0; i < nFrame; i++)
+            {
+                d_mog2(frame_buffer_ocl[i], foreground_d);
+            }
+            d_mog2.getBackgroundImage(background_d);
+        }
+        background_d.download(background);
+        SANITY_CHECK(background);
+    }else
+        OCL_PERF_ELSE
+}
+#endif