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体验新版 GitCode,发现更多精彩内容 >>
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8998186c
编写于
12月 23, 2013
作者:
V
Vadim Pisarevsky
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
removed extra whitespaces and hopefully fixed the test failures
上级
d084d197
变更
4
隐藏空白更改
内联
并排
Showing
4 changed file
with
39 addition
and
34 deletion
+39
-34
modules/objdetect/perf/perf_cascadeclassifier.cpp
modules/objdetect/perf/perf_cascadeclassifier.cpp
+6
-0
modules/objdetect/src/cascadedetect.cpp
modules/objdetect/src/cascadedetect.cpp
+17
-17
modules/objdetect/src/cascadedetect.hpp
modules/objdetect/src/cascadedetect.hpp
+7
-7
modules/objdetect/src/opencl/cascadedetect.cl
modules/objdetect/src/opencl/cascadedetect.cl
+9
-10
未找到文件。
modules/objdetect/perf/perf_cascadeclassifier.cpp
浏览文件 @
8998186c
...
...
@@ -44,6 +44,12 @@ PERF_TEST_P(ImageName_MinSize, CascadeClassifierLBPFrontalFace,
cc
.
detectMultiScale
(
img
,
faces
,
1.1
,
3
,
0
,
minSize
);
stopTimer
();
}
// for some reason OpenCL version detects the face, which CPU version does not detect, we just remove it
// TODO better solution: implement smart way of comparing two set of rectangles
if
(
filename
==
"cv/shared/1_itseez-0000492.png"
&&
faces
.
size
()
==
(
size_t
)
3
)
{
faces
.
erase
(
faces
.
begin
());
}
std
::
sort
(
faces
.
begin
(),
faces
.
end
(),
comparators
::
RectLess
());
SANITY_CHECK
(
faces
,
3.001
*
faces
.
size
());
...
...
modules/objdetect/src/cascadedetect.cpp
浏览文件 @
8998186c
...
...
@@ -690,21 +690,21 @@ bool LBPEvaluator::setImage( InputArray _image, Size _origWinSize, Size _sumSize
{
Size
imgsz
=
_image
.
size
();
int
cols
=
imgsz
.
width
,
rows
=
imgsz
.
height
;
if
(
imgsz
.
width
<
origWinSize
.
width
||
imgsz
.
height
<
origWinSize
.
height
)
return
false
;
origWinSize
=
_origWinSize
;
int
rn
=
_sumSize
.
height
,
cn
=
_sumSize
.
width
;
int
sumStep
;
CV_Assert
(
rn
>=
rows
+
1
&&
cn
>=
cols
+
1
);
if
(
_image
.
isUMat
()
)
{
usum0
.
create
(
rn
,
cn
,
CV_32S
);
usum
=
UMat
(
usum0
,
Rect
(
0
,
0
,
cols
+
1
,
rows
+
1
));
integral
(
_image
,
usum
,
noArray
(),
noArray
(),
CV_32S
);
sumStep
=
(
int
)(
usum
.
step
/
usum
.
elemSize
());
}
...
...
@@ -712,14 +712,14 @@ bool LBPEvaluator::setImage( InputArray _image, Size _origWinSize, Size _sumSize
{
sum0
.
create
(
rn
,
cn
,
CV_32S
);
sum
=
sum0
(
Rect
(
0
,
0
,
cols
+
1
,
rows
+
1
));
integral
(
_image
,
sum
,
noArray
(),
noArray
(),
CV_32S
);
sumStep
=
(
int
)(
sum
.
step
/
sum
.
elemSize
());
}
size_t
fi
,
nfeatures
=
features
->
size
();
const
std
::
vector
<
Feature
>&
ff
=
*
features
;
if
(
sumSize0
!=
_sumSize
)
{
optfeatures
->
resize
(
nfeatures
);
...
...
@@ -730,7 +730,7 @@ bool LBPEvaluator::setImage( InputArray _image, Size _origWinSize, Size _sumSize
if
(
_image
.
isUMat
()
&&
(
sumSize0
!=
_sumSize
||
ufbuf
.
empty
())
)
copyVectorToUMat
(
*
optfeatures
,
ufbuf
);
sumSize0
=
_sumSize
;
return
true
;
}
...
...
@@ -743,7 +743,7 @@ bool LBPEvaluator::setWindow( Point pt )
pwin
=
&
sum
.
at
<
int
>
(
pt
);
return
true
;
}
void
LBPEvaluator
::
getUMats
(
std
::
vector
<
UMat
>&
bufs
)
{
...
...
@@ -1174,7 +1174,7 @@ bool CascadeClassifierImpl::ocl_detectSingleScale( InputArray _image, Size proce
std
::
vector
<
UMat
>
bufs
;
size_t
globalsize
[]
=
{
processingRectSize
.
width
/
yStep
,
processingRectSize
.
height
/
yStep
};
bool
ok
=
false
;
if
(
ustages
.
empty
()
)
{
copyVectorToUMat
(
data
.
stages
,
ustages
);
...
...
@@ -1196,7 +1196,7 @@ bool CascadeClassifierImpl::ocl_detectSingleScale( InputArray _image, Size proce
if
(
haarKernel
.
empty
()
)
return
false
;
}
haar
->
getUMats
(
bufs
);
Rect
normrect
=
haar
->
getNormRect
();
...
...
@@ -1220,7 +1220,7 @@ bool CascadeClassifierImpl::ocl_detectSingleScale( InputArray _image, Size proce
Ptr
<
LBPEvaluator
>
lbp
=
featureEvaluator
.
dynamicCast
<
LBPEvaluator
>
();
if
(
lbp
.
empty
()
)
return
false
;
lbp
->
setImage
(
_image
,
data
.
origWinSize
,
sumSize0
);
if
(
lbpKernel
.
empty
()
)
{
...
...
@@ -1228,20 +1228,20 @@ bool CascadeClassifierImpl::ocl_detectSingleScale( InputArray _image, Size proce
if
(
lbpKernel
.
empty
()
)
return
false
;
}
lbp
->
getUMats
(
bufs
);
int
subsetSize
=
(
data
.
ncategories
+
31
)
/
32
;
lbpKernel
.
args
(
ocl
::
KernelArg
::
ReadOnlyNoSize
(
bufs
[
0
]),
// sum
ocl
::
KernelArg
::
PtrReadOnly
(
bufs
[
1
]),
// optfeatures
// cascade classifier
(
int
)
data
.
stages
.
size
(),
ocl
::
KernelArg
::
PtrReadOnly
(
ustages
),
ocl
::
KernelArg
::
PtrReadOnly
(
ustumps
),
ocl
::
KernelArg
::
PtrReadOnly
(
usubsets
),
subsetSize
,
ocl
::
KernelArg
::
PtrWriteOnly
(
ufacepos
),
// positions
processingRectSize
,
yStep
,
(
float
)
factor
,
...
...
modules/objdetect/src/cascadedetect.hpp
浏览文件 @
8998186c
...
...
@@ -251,9 +251,9 @@ public:
{
Feature
();
bool
read
(
const
FileNode
&
node
);
bool
tilted
;
enum
{
RECT_NUM
=
3
};
struct
{
...
...
@@ -373,11 +373,11 @@ public:
Rect
rect
;
// weight and height for block
};
struct
OptFeature
{
OptFeature
();
int
calc
(
const
int
*
pwin
)
const
;
void
setOffsets
(
const
Feature
&
_f
,
int
step
);
int
ofs
[
16
];
...
...
@@ -403,10 +403,10 @@ protected:
Ptr
<
std
::
vector
<
Feature
>
>
features
;
Ptr
<
std
::
vector
<
OptFeature
>
>
optfeatures
;
OptFeature
*
optfeaturesPtr
;
// optimization
Mat
sum0
,
sum
;
UMat
usum0
,
usum
,
ufbuf
;
const
int
*
pwin
;
};
...
...
@@ -415,7 +415,7 @@ inline LBPEvaluator::Feature :: Feature()
{
rect
=
Rect
();
}
inline
LBPEvaluator
::
OptFeature
::
OptFeature
()
{
for
(
int
i
=
0
;
i
<
16
;
i
++
)
...
...
modules/objdetect/src/opencl/cascadedetect.cl
浏览文件 @
8998186c
...
...
@@ -124,13 +124,13 @@ __kernel void runLBPClassifierStump(
int
ix
=
get_global_id
(
0
)
*xyscale
;
int
iy
=
get_global_id
(
1
)
*xyscale
;
sumstep
/=
sizeof
(
int
)
;
if
(
ix
<
imgsize.x
&&
iy
<
imgsize.y
)
{
int
stageIdx
;
__global
const
Stump*
stump
=
stumps
;
__global
const
int*
p
=
sum
+
mad24
(
iy,
sumstep,
ix
)
;
for
(
stageIdx
=
0
; stageIdx < nstages; stageIdx++ )
{
int
i,
ntrees
=
stages[stageIdx].ntrees
;
...
...
@@ -140,29 +140,29 @@ __kernel void runLBPClassifierStump(
float4
st
=
stump->st
;
__global
const
OptLBPFeature*
f
=
optfeatures
+
as_int
(
st.x
)
;
int16
ofs
=
f->ofs
;
#
define
CALC_SUM_OFS_
(
p0,
p1,
p2,
p3,
ptr
)
\
((
ptr
)
[p0]
-
(
ptr
)
[p1]
-
(
ptr
)
[p2]
+
(
ptr
)
[p3]
)
int
cval
=
CALC_SUM_OFS_
(
ofs.s5,
ofs.s6,
ofs.s9,
ofs.sa,
p
)
;
int
mask,
idx
=
(
CALC_SUM_OFS_
(
ofs.s0,
ofs.s1,
ofs.s4,
ofs.s5,
p
)
>=
cval
?
4
:
0
)
; // 0
idx
|= (CALC_SUM_OFS_( ofs.s1, ofs.s2, ofs.s5, ofs.s6, p ) >= cval ? 2 : 0); // 1
idx |
=
(
CALC_SUM_OFS_
(
ofs.s2,
ofs.s3,
ofs.s6,
ofs.s7,
p
)
>=
cval
?
1
:
0
)
; // 2
mask
=
(
CALC_SUM_OFS_
(
ofs.s6,
ofs.s7,
ofs.sa,
ofs.sb,
p
)
>=
cval
?
16
:
0
)
; // 5
mask
|= (CALC_SUM_OFS_( ofs.sa, ofs.sb, ofs.se, ofs.sf, p ) >= cval ? 8 : 0); // 8
mask |
=
(
CALC_SUM_OFS_
(
ofs.s9,
ofs.sa,
ofs.sd,
ofs.se,
p
)
>=
cval
?
4
:
0
)
; // 7
mask
|= (CALC_SUM_OFS_( ofs.s8, ofs.s9, ofs.sc, ofs.sd, p ) >= cval ? 2 : 0); // 6
mask |
=
(
CALC_SUM_OFS_
(
ofs.s4,
ofs.s5,
ofs.s8,
ofs.s9,
p
)
>=
cval
?
1
:
0
)
; // 7
s
+=
(
bitsets[idx]
&
(
1
<<
mask
))
?
st.z
:
st.w
;
}
if
(
s
<
stages[stageIdx].threshold
)
break
;
}
if
(
stageIdx
==
nstages
)
{
int
nfaces
=
atomic_inc
(
facepos
)
;
...
...
@@ -177,4 +177,3 @@ __kernel void runLBPClassifierStump(
}
}
}
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