290 lines
8.8 KiB
C++
290 lines
8.8 KiB
C++
/*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 materials 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]));
|
|
}
|
|
|
|
///////////// MOG ////////////////////////
|
|
|
|
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
|
|
}
|
|
|
|
///////////// MOG2 ////////////////////////
|
|
|
|
typedef tuple<string, int> VideoMOG2ParamType;
|
|
typedef TestBaseWithParam<VideoMOG2ParamType> VideoMOG2Fixture;
|
|
|
|
PERF_TEST_P(VideoMOG2Fixture, DISABLED_MOG2, // TODO Disabled: random hungs on buildslave
|
|
::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
|
|
}
|
|
|
|
///////////// MOG2_GetBackgroundImage //////////////////
|
|
|
|
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
|