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submodule
opencv
Commits
e528f39d
Commit
e528f39d
authored
Sep 04, 2013
by
Jin Ma
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Added the performance test for mog and mog2.
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c42d61e4
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perf_bgfg.cpp
modules/ocl/perf/perf_bgfg.cpp
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modules/ocl/perf/perf_bgfg.cpp
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e528f39d
/*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"
///////////// PyrLKOpticalFlow ////////////////////////
using
namespace
perf
;
using
std
::
tr1
::
get
;
using
std
::
tr1
::
tuple
;
using
std
::
tr1
::
make_tuple
;
#if defined(HAVE_XINE) || \
defined(HAVE_GSTREAMER) || \
defined(HAVE_QUICKTIME) || \
defined(HAVE_AVFOUNDATION) || \
defined(HAVE_FFMPEG) || \
defined(WIN32)
/* assume that we have ffmpeg */
# define BUILD_WITH_VIDEO_INPUT_SUPPORT 1
#else
# define BUILD_WITH_VIDEO_INPUT_SUPPORT 0
#endif
#if BUILD_WITH_VIDEO_INPUT_SUPPORT
typedef
tuple
<
string
,
int
,
double
>
VideoMOGParamType
;
typedef
TestBaseWithParam
<
VideoMOGParamType
>
VideoMOGFixture
;
PERF_TEST_P
(
VideoMOGFixture
,
Video_MOG
,
::
testing
::
Combine
(
::
testing
::
Values
(
"768x576.avi"
,
"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
));
cv
::
VideoCapture
cap
(
inputFile
);
ASSERT_TRUE
(
cap
.
isOpened
());
cv
::
Mat
frame
;
cap
>>
frame
;
ASSERT_FALSE
(
frame
.
empty
());
cv
::
Mat
temp
;
if
(
cn
==
1
)
cv
::
cvtColor
(
frame
,
temp
,
cv
::
COLOR_BGR2GRAY
);
else
cv
::
cvtColor
(
frame
,
temp
,
cv
::
COLOR_BGR2BGRA
);
cv
::
swap
(
temp
,
frame
);
if
(
RUN_PLAIN_IMPL
)
{
cv
::
BackgroundSubtractorMOG
mog
;
cv
::
Mat
foreground
;
mog
(
frame
,
foreground
,
learningRate
);
for
(
int
i
=
0
;
i
<
10
;
++
i
)
{
cap
>>
frame
;
ASSERT_FALSE
(
frame
.
empty
());
cv
::
Mat
temp
;
if
(
cn
==
1
)
cv
::
cvtColor
(
frame
,
temp
,
cv
::
COLOR_BGR2GRAY
);
else
cv
::
cvtColor
(
frame
,
temp
,
cv
::
COLOR_BGR2BGRA
);
cv
::
swap
(
temp
,
frame
);
TEST_CYCLE
()
mog
(
frame
,
foreground
,
learningRate
);
SANITY_CHECK
(
foreground
);
}
}
else
if
(
RUN_OCL_IMPL
)
{
cv
::
ocl
::
oclMat
d_frame
(
frame
);
cv
::
ocl
::
MOG
d_mog
;
cv
::
ocl
::
oclMat
foreground
;
cv
::
Mat
foreground_h
;
d_mog
(
d_frame
,
foreground
,
learningRate
);
for
(
int
i
=
0
;
i
<
10
;
++
i
)
{
cap
>>
frame
;
ASSERT_FALSE
(
frame
.
empty
());
cv
::
Mat
temp
;
if
(
cn
==
1
)
cv
::
cvtColor
(
frame
,
temp
,
cv
::
COLOR_BGR2GRAY
);
else
cv
::
cvtColor
(
frame
,
temp
,
cv
::
COLOR_BGR2BGRA
);
cv
::
swap
(
temp
,
frame
);
d_frame
.
upload
(
frame
);
OCL_TEST_CYCLE
()
d_mog
(
d_frame
,
foreground
,
learningRate
);
foreground
.
download
(
foreground_h
);
SANITY_CHECK
(
foreground_h
);
}
}
else
OCL_PERF_ELSE
}
#endif
#if BUILD_WITH_VIDEO_INPUT_SUPPORT
typedef
tuple
<
string
,
int
>
VideoMOG2ParamType
;
typedef
TestBaseWithParam
<
VideoMOG2ParamType
>
VideoMOG2Fixture
;
PERF_TEST_P
(
VideoMOG2Fixture
,
Video_MOG2
,
::
testing
::
Combine
(
::
testing
::
Values
(
"768x576.avi"
,
"1920x1080.avi"
),
::
testing
::
Values
(
1
,
3
)))
{
VideoMOG2ParamType
params
=
GetParam
();
const
string
inputFile
=
perf
::
TestBase
::
getDataPath
(
get
<
0
>
(
params
));
const
int
cn
=
get
<
1
>
(
params
);
cv
::
VideoCapture
cap
(
inputFile
);
ASSERT_TRUE
(
cap
.
isOpened
());
cv
::
Mat
frame
;
cap
>>
frame
;
ASSERT_FALSE
(
frame
.
empty
());
cv
::
Mat
temp
;
if
(
cn
==
1
)
cv
::
cvtColor
(
frame
,
temp
,
cv
::
COLOR_BGR2GRAY
);
else
cv
::
cvtColor
(
frame
,
temp
,
cv
::
COLOR_BGR2BGRA
);
cv
::
swap
(
temp
,
frame
);
if
(
RUN_PLAIN_IMPL
)
{
cv
::
BackgroundSubtractorMOG2
mog2
;
cv
::
Mat
foreground
;
mog2
.
set
(
"detectShadows"
,
false
);
mog2
(
frame
,
foreground
);
for
(
int
i
=
0
;
i
<
10
;
++
i
)
{
cap
>>
frame
;
ASSERT_FALSE
(
frame
.
empty
());
cv
::
Mat
temp
;
if
(
cn
==
1
)
cv
::
cvtColor
(
frame
,
temp
,
cv
::
COLOR_BGR2GRAY
);
else
cv
::
cvtColor
(
frame
,
temp
,
cv
::
COLOR_BGR2BGRA
);
cv
::
swap
(
temp
,
frame
);
TEST_CYCLE
()
mog2
(
frame
,
foreground
);
SANITY_CHECK
(
foreground
);
}
}
else
if
(
RUN_OCL_IMPL
)
{
cv
::
ocl
::
oclMat
d_frame
(
frame
);
cv
::
ocl
::
MOG2
d_mog2
;
cv
::
ocl
::
oclMat
foreground
;
cv
::
Mat
foreground_h
;
d_mog2
(
d_frame
,
foreground
);
for
(
int
i
=
0
;
i
<
10
;
++
i
)
{
cap
>>
frame
;
ASSERT_FALSE
(
frame
.
empty
());
cv
::
Mat
temp
;
if
(
cn
==
1
)
cv
::
cvtColor
(
frame
,
temp
,
cv
::
COLOR_BGR2GRAY
);
else
cv
::
cvtColor
(
frame
,
temp
,
cv
::
COLOR_BGR2BGRA
);
cv
::
swap
(
temp
,
frame
);
d_frame
.
upload
(
frame
);
OCL_TEST_CYCLE
()
d_mog2
(
d_frame
,
foreground
);
foreground
.
download
(
foreground_h
);
SANITY_CHECK
(
foreground_h
);
}
}
else
OCL_PERF_ELSE
}
#endif
#if BUILD_WITH_VIDEO_INPUT_SUPPORT
typedef
TestBaseWithParam
<
VideoMOG2ParamType
>
Video_MOG2GetBackgroundImage
;
PERF_TEST_P
(
Video_MOG2GetBackgroundImage
,
Video_MOG2
,
::
testing
::
Combine
(
::
testing
::
Values
(
"768x576.avi"
,
"1920x1080.avi"
),
::
testing
::
Values
(
1
,
3
)))
{
VideoMOG2ParamType
params
=
GetParam
();
const
string
inputFile
=
perf
::
TestBase
::
getDataPath
(
get
<
0
>
(
params
));
const
int
cn
=
get
<
1
>
(
params
);
cv
::
VideoCapture
cap
(
inputFile
);
ASSERT_TRUE
(
cap
.
isOpened
());
cv
::
Mat
frame
;
cap
>>
frame
;
ASSERT_FALSE
(
frame
.
empty
());
cv
::
Mat
temp
;
if
(
cn
==
1
)
cv
::
cvtColor
(
frame
,
temp
,
cv
::
COLOR_BGR2GRAY
);
else
cv
::
cvtColor
(
frame
,
temp
,
cv
::
COLOR_BGR2BGRA
);
cv
::
swap
(
temp
,
frame
);
if
(
RUN_PLAIN_IMPL
)
{
cv
::
BackgroundSubtractorMOG2
mog2
;
cv
::
Mat
foreground
;
mog2
.
set
(
"detectShadows"
,
false
);
mog2
(
frame
,
foreground
);
for
(
int
i
=
0
;
i
<
10
;
++
i
)
{
cap
>>
frame
;
ASSERT_FALSE
(
frame
.
empty
());
cv
::
Mat
temp
;
if
(
cn
==
1
)
cv
::
cvtColor
(
frame
,
temp
,
cv
::
COLOR_BGR2GRAY
);
else
cv
::
cvtColor
(
frame
,
temp
,
cv
::
COLOR_BGR2BGRA
);
cv
::
swap
(
temp
,
frame
);
TEST_CYCLE
()
mog2
(
frame
,
foreground
);
}
cv
::
Mat
background
;
TEST_CYCLE
()
mog2
.
getBackgroundImage
(
background
);
SANITY_CHECK
(
background
);
}
else
if
(
RUN_OCL_IMPL
)
{
cv
::
ocl
::
oclMat
d_frame
(
frame
);
cv
::
ocl
::
MOG2
d_mog2
;
cv
::
ocl
::
oclMat
foreground
;
cv
::
Mat
background_h
;
d_mog2
(
d_frame
,
foreground
);
for
(
int
i
=
0
;
i
<
10
;
++
i
)
{
cap
>>
frame
;
ASSERT_FALSE
(
frame
.
empty
());
cv
::
Mat
temp
;
if
(
cn
==
1
)
cv
::
cvtColor
(
frame
,
temp
,
cv
::
COLOR_BGR2GRAY
);
else
cv
::
cvtColor
(
frame
,
temp
,
cv
::
COLOR_BGR2BGRA
);
cv
::
swap
(
temp
,
frame
);
d_frame
.
upload
(
frame
);
d_mog2
(
d_frame
,
foreground
);
}
cv
::
ocl
::
oclMat
background
;
OCL_TEST_CYCLE
()
d_mog2
.
getBackgroundImage
(
background
);
background
.
download
(
background_h
);
SANITY_CHECK
(
background_h
);
}
else
OCL_PERF_ELSE
}
#endif
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