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submodule
opencv
Commits
dd9c5349
Commit
dd9c5349
authored
Sep 19, 2012
by
marina.kolpakova
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GPU interface for soft cascade
parent
d65b3e06
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2 changed files
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143 additions
and
0 deletions
+143
-0
gpu.hpp
modules/gpu/include/opencv2/gpu/gpu.hpp
+43
-0
softcascade.cpp
modules/gpu/src/softcascade.cpp
+100
-0
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modules/gpu/include/opencv2/gpu/gpu.hpp
View file @
dd9c5349
...
@@ -1532,6 +1532,49 @@ public:
...
@@ -1532,6 +1532,49 @@ public:
int
detectMultiScale
(
const
GpuMat
&
image
,
GpuMat
&
objectsBuf
,
Size
maxObjectSize
,
Size
minSize
=
Size
(),
double
scaleFactor
=
1.1
,
int
minNeighbors
=
4
);
int
detectMultiScale
(
const
GpuMat
&
image
,
GpuMat
&
objectsBuf
,
Size
maxObjectSize
,
Size
minSize
=
Size
(),
double
scaleFactor
=
1.1
,
int
minNeighbors
=
4
);
};
};
// ======================== GPU version for soft cascade ===================== //
class
CV_EXPORTS
SoftCascade
{
public
:
//! An empty cascade will be created.
SoftCascade
();
//! Cascade will be created from file for scales from minScale to maxScale.
//! Param filename is a path to xml-serialized cascade.
//! Param minScale is a minimum scale relative to the original size of the image on which cascade will be applyed.
//! Param minScale is a maximum scale relative to the original size of the image on which cascade will be applyed.
SoftCascade
(
const
string
&
filename
,
const
float
minScale
=
0.4
f
,
const
float
maxScale
=
5.
f
);
//! cascade will be loaded from file "filename". The previous cascade will be destroyed.
//! Param filename is a path to xml-serialized cascade.
//! Param minScale is a minimum scale relative to the original size of the image on which cascade will be applyed.
//! Param minScale is a maximum scale relative to the original size of the image on which cascade will be applyed.
bool
load
(
const
string
&
filename
,
const
float
minScale
=
0.4
f
,
const
float
maxScale
=
5.
f
);
virtual
~
SoftCascade
();
//! return vector of bounding boxes. Each box contains one detected object
virtual
void
detectMultiScale
(
const
GpuMat
&
image
,
const
GpuMat
&
rois
,
GpuMat
&
objects
,
int
rejectfactor
=
1
,
Stream
stream
=
Stream
::
Null
());
// ToDo store objects in GPU mem
protected
:
enum
{
BOOST
=
0
};
enum
{
FRAME_WIDTH
=
640
,
FRAME_HEIGHT
=
480
,
TOTAL_SCALES
=
55
,
CLASSIFIERS
=
5
,
ORIG_OBJECT_WIDTH
=
64
,
ORIG_OBJECT_HEIGHT
=
128
};
private
:
struct
Filds
;
Filds
*
filds
;
};
////////////////////////////////// SURF //////////////////////////////////////////
////////////////////////////////// SURF //////////////////////////////////////////
class
CV_EXPORTS
SURF_GPU
class
CV_EXPORTS
SURF_GPU
...
...
modules/gpu/src/softcascade.cpp
0 → 100644
View file @
dd9c5349
/*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) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2008-2012, Willow Garage Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// 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 <precomp.hpp>
#if !defined (HAVE_CUDA)
cv
::
gpu
::
SoftCascade
::
SoftCascade
()
:
filds
(
0
)
{
throw_nogpu
();
}
cv
::
gpu
::
SoftCascade
::
SoftCascade
(
const
string
&
,
const
float
,
const
float
)
:
filds
(
0
)
{
throw_nogpu
();
}
cv
::
gpu
::
SoftCascade
::~
SoftCascade
()
{
throw_nogpu
();
}
bool
cv
::
gpu
::
SoftCascade
::
load
(
const
string
&
,
const
float
,
const
float
)
{
throw_nogpu
();
}
void
cv
::
gpu
::
SoftCascade
::
detectMultiScale
(
const
GpuMat
&
,
const
GpuMat
&
,
GpuMat
&
,
const
int
,
Stream
)
{
throw_nogpu
();
}
#else
struct
cv
::
gpu
::
SoftCascade
::
Filds
{
bool
fill
(
const
FileNode
&
root
,
const
float
mins
,
const
float
maxs
){
return
true
;}
void
calcLevels
(
int
frameW
,
int
frameH
,
int
scales
)
{}
};
cv
::
gpu
::
SoftCascade
::
SoftCascade
()
:
filds
(
0
)
{}
cv
::
gpu
::
SoftCascade
::
SoftCascade
(
const
string
&
filename
,
const
float
minScale
,
const
float
maxScale
)
:
filds
(
0
)
{
load
(
filename
,
minScale
,
maxScale
);
}
cv
::
gpu
::
SoftCascade
::~
SoftCascade
()
{
delete
filds
;
}
bool
cv
::
gpu
::
SoftCascade
::
load
(
const
string
&
filename
,
const
float
minScale
,
const
float
maxScale
)
{
if
(
filds
)
delete
filds
;
filds
=
0
;
cv
::
FileStorage
fs
(
filename
,
FileStorage
::
READ
);
if
(
!
fs
.
isOpened
())
return
false
;
filds
=
new
Filds
;
Filds
&
flds
=
*
filds
;
if
(
!
flds
.
fill
(
fs
.
getFirstTopLevelNode
(),
minScale
,
maxScale
))
return
false
;
flds
.
calcLevels
(
FRAME_WIDTH
,
FRAME_HEIGHT
,
TOTAL_SCALES
);
return
true
;
}
void
cv
::
gpu
::
SoftCascade
::
detectMultiScale
(
const
GpuMat
&
/*image*/
,
const
GpuMat
&
/*rois*/
,
GpuMat
&
/*objects*/
,
const
int
/*rejectfactor*/
,
Stream
/*stream*/
)
{
// empty
}
#endif
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