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体验新版 GitCode,发现更多精彩内容 >>
提交
e3f3de84
编写于
1月 21, 2011
作者:
A
Anatoly Baksheev
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
warning fixed
上级
1327789d
变更
2
隐藏空白更改
内联
并排
Showing
2 changed file
with
32 addition
and
32 deletion
+32
-32
modules/gpu/src/cascadeclassifier.cpp
modules/gpu/src/cascadeclassifier.cpp
+30
-30
samples/gpu/cascadeclassifier.cpp
samples/gpu/cascadeclassifier.cpp
+2
-2
未找到文件。
modules/gpu/src/cascadeclassifier.cpp
浏览文件 @
e3f3de84
...
...
@@ -294,38 +294,38 @@ int cv::gpu::CascadeClassifier_GPU::detectMultiScale( const GpuMat& image, GpuMa
return
numDetections
;
}
struct
RectConvert
{
Rect
operator
()(
const
NcvRect32u
&
nr
)
const
{
return
Rect
(
nr
.
x
,
nr
.
y
,
nr
.
width
,
nr
.
height
);
}
NcvRect32u
operator
()(
const
Rect
&
nr
)
const
{
NcvRect32u
rect
;
rect
.
x
=
nr
.
x
;
rect
.
y
=
nr
.
y
;
rect
.
width
=
nr
.
width
;
rect
.
height
=
nr
.
height
;
return
rect
;
}
};
void
groupRectangles
(
std
::
vector
<
NcvRect32u
>
&
hypotheses
,
int
groupThreshold
,
double
eps
,
std
::
vector
<
Ncv32u
>
*
weights
)
struct
RectConvert
{
Rect
operator
()(
const
NcvRect32u
&
nr
)
const
{
return
Rect
(
nr
.
x
,
nr
.
y
,
nr
.
width
,
nr
.
height
);
}
NcvRect32u
operator
()(
const
Rect
&
nr
)
const
{
NcvRect32u
rect
;
rect
.
x
=
nr
.
x
;
rect
.
y
=
nr
.
y
;
rect
.
width
=
nr
.
width
;
rect
.
height
=
nr
.
height
;
return
rect
;
}
};
void
groupRectangles
(
std
::
vector
<
NcvRect32u
>
&
hypotheses
,
int
groupThreshold
,
double
eps
,
std
::
vector
<
Ncv32u
>
*
weights
)
{
vector
<
Rect
>
rects
(
hypotheses
.
size
());
std
::
transform
(
hypotheses
.
begin
(),
hypotheses
.
end
(),
rects
.
begin
(),
RectConvert
());
if
(
weights
)
{
vector
<
Rect
>
rects
(
hypotheses
.
size
());
std
::
transform
(
hypotheses
.
begin
(),
hypotheses
.
end
(),
rects
.
begin
(),
RectConvert
());
if
(
weights
)
{
vector
<
int
>
weights_int
;
weights_int
.
assign
(
weights
->
begin
(),
weights
->
end
());
cv
::
groupRectangles
(
rects
,
weights_int
,
groupThreshold
,
eps
);
}
else
{
cv
::
groupRectangles
(
rects
,
groupThreshold
,
eps
);
}
std
::
transform
(
rects
.
begin
(),
rects
.
end
(),
hypotheses
.
begin
(),
RectConvert
());
hypotheses
.
resize
(
rects
.
size
());
vector
<
int
>
weights_int
;
weights_int
.
assign
(
weights
->
begin
(),
weights
->
end
());
cv
::
groupRectangles
(
rects
,
weights_int
,
groupThreshold
,
eps
);
}
else
{
cv
::
groupRectangles
(
rects
,
groupThreshold
,
eps
);
}
std
::
transform
(
rects
.
begin
(),
rects
.
end
(),
hypotheses
.
begin
(),
RectConvert
());
hypotheses
.
resize
(
rects
.
size
());
}
#if 1
/* loadFromXML implementation switch */
...
...
samples/gpu/cascadeclassifier.cpp
浏览文件 @
e3f3de84
...
...
@@ -190,8 +190,8 @@ int main( int argc, const char** argv )
case
'3'
:
font_scale
*=
1.05
;
printf
(
"Fond scale = %g
\n
"
,
font_scale
);
break
;
case
'e'
:
case
'E'
:
font_scale
/=
1.05
;
printf
(
"Fond scale = %g
\n
"
,
font_scale
);
break
;
case
'2'
:
++
minNeighbors
;
printf
(
"Min Neighbors = %
g
\n
"
,
minNeighbors
);
break
;
case
'w'
:
case
'W'
:
minNeighbors
=
max
(
minNeighbors
-
1
,
0
);
printf
(
"Min Neighbors = %
g
\n
"
,
minNeighbors
);
break
;
case
'2'
:
++
minNeighbors
;
printf
(
"Min Neighbors = %
d
\n
"
,
minNeighbors
);
break
;
case
'w'
:
case
'W'
:
minNeighbors
=
max
(
minNeighbors
-
1
,
0
);
printf
(
"Min Neighbors = %
d
\n
"
,
minNeighbors
);
break
;
}
}
...
...
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