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体验新版 GitCode,发现更多精彩内容 >>
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66d15e89
编写于
9月 06, 2018
作者:
A
Alexander Alekhin
浏览文件
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浏览文件
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差异文件
Merge pull request #12440 from woodychow:fix_normL2Sqr_speed_regression_3.4
上级
d486204a
07c6b0a8
变更
2
隐藏空白更改
内联
并排
Showing
2 changed file
with
43 addition
and
5 deletion
+43
-5
modules/core/src/batch_distance.cpp
modules/core/src/batch_distance.cpp
+37
-0
modules/core/src/kmeans.cpp
modules/core/src/kmeans.cpp
+6
-5
未找到文件。
modules/core/src/batch_distance.cpp
浏览文件 @
66d15e89
...
...
@@ -5,6 +5,7 @@
#include "precomp.hpp"
#include "stat.hpp"
#include <opencv2/core/hal/hal.hpp>
namespace
cv
{
...
...
@@ -45,6 +46,24 @@ void batchDistL2Sqr_(const _Tp* src1, const _Tp* src2, size_t step2,
}
}
template
<
>
void
batchDistL2Sqr_
(
const
float
*
src1
,
const
float
*
src2
,
size_t
step2
,
int
nvecs
,
int
len
,
float
*
dist
,
const
uchar
*
mask
)
{
step2
/=
sizeof
(
src2
[
0
]);
if
(
!
mask
)
{
for
(
int
i
=
0
;
i
<
nvecs
;
i
++
)
dist
[
i
]
=
hal
::
normL2Sqr_
(
src1
,
src2
+
step2
*
i
,
len
);
}
else
{
float
val0
=
std
::
numeric_limits
<
float
>::
max
();
for
(
int
i
=
0
;
i
<
nvecs
;
i
++
)
dist
[
i
]
=
mask
[
i
]
?
hal
::
normL2Sqr_
(
src1
,
src2
+
step2
*
i
,
len
)
:
val0
;
}
}
template
<
typename
_Tp
,
typename
_Rt
>
void
batchDistL2_
(
const
_Tp
*
src1
,
const
_Tp
*
src2
,
size_t
step2
,
int
nvecs
,
int
len
,
_Rt
*
dist
,
const
uchar
*
mask
)
...
...
@@ -63,6 +82,24 @@ void batchDistL2_(const _Tp* src1, const _Tp* src2, size_t step2,
}
}
template
<
>
void
batchDistL2_
(
const
float
*
src1
,
const
float
*
src2
,
size_t
step2
,
int
nvecs
,
int
len
,
float
*
dist
,
const
uchar
*
mask
)
{
step2
/=
sizeof
(
src2
[
0
]);
if
(
!
mask
)
{
for
(
int
i
=
0
;
i
<
nvecs
;
i
++
)
dist
[
i
]
=
std
::
sqrt
(
hal
::
normL2Sqr_
(
src1
,
src2
+
step2
*
i
,
len
));
}
else
{
float
val0
=
std
::
numeric_limits
<
float
>::
max
();
for
(
int
i
=
0
;
i
<
nvecs
;
i
++
)
dist
[
i
]
=
mask
[
i
]
?
std
::
sqrt
(
hal
::
normL2Sqr_
(
src1
,
src2
+
step2
*
i
,
len
))
:
val0
;
}
}
static
void
batchDistHamming
(
const
uchar
*
src1
,
const
uchar
*
src2
,
size_t
step2
,
int
nvecs
,
int
len
,
int
*
dist
,
const
uchar
*
mask
)
{
...
...
modules/core/src/kmeans.cpp
浏览文件 @
66d15e89
...
...
@@ -43,6 +43,7 @@
#include "precomp.hpp"
#include <opencv2/core/utils/configuration.private.hpp>
#include <opencv2/core/hal/hal.hpp>
////////////////////////////////////////// kmeans ////////////////////////////////////////////
...
...
@@ -74,7 +75,7 @@ public:
for
(
int
i
=
begin
;
i
<
end
;
i
++
)
{
tdist2
[
i
]
=
std
::
min
(
normL2Sqr
(
data
.
ptr
<
float
>
(
i
),
data
.
ptr
<
float
>
(
ci
),
dims
),
dist
[
i
]);
tdist2
[
i
]
=
std
::
min
(
hal
::
normL2Sqr_
(
data
.
ptr
<
float
>
(
i
),
data
.
ptr
<
float
>
(
ci
),
dims
),
dist
[
i
]);
}
}
...
...
@@ -106,7 +107,7 @@ static void generateCentersPP(const Mat& data, Mat& _out_centers,
for
(
int
i
=
0
;
i
<
N
;
i
++
)
{
dist
[
i
]
=
normL2Sqr
(
data
.
ptr
<
float
>
(
i
),
data
.
ptr
<
float
>
(
centers
[
0
]),
dims
);
dist
[
i
]
=
hal
::
normL2Sqr_
(
data
.
ptr
<
float
>
(
i
),
data
.
ptr
<
float
>
(
centers
[
0
]),
dims
);
sum0
+=
dist
[
i
];
}
...
...
@@ -185,7 +186,7 @@ public:
if
(
onlyDistance
)
{
const
float
*
center
=
centers
.
ptr
<
float
>
(
labels
[
i
]);
distances
[
i
]
=
normL2Sqr
(
sample
,
center
,
dims
);
distances
[
i
]
=
hal
::
normL2Sqr_
(
sample
,
center
,
dims
);
continue
;
}
else
...
...
@@ -196,7 +197,7 @@ public:
for
(
int
k
=
0
;
k
<
K
;
k
++
)
{
const
float
*
center
=
centers
.
ptr
<
float
>
(
k
);
const
double
dist
=
normL2Sqr
(
sample
,
center
,
dims
);
const
double
dist
=
hal
::
normL2Sqr_
(
sample
,
center
,
dims
);
if
(
min_dist
>
dist
)
{
...
...
@@ -379,7 +380,7 @@ double cv::kmeans( InputArray _data, int K,
if
(
labels
[
i
]
!=
max_k
)
continue
;
const
float
*
sample
=
data
.
ptr
<
float
>
(
i
);
double
dist
=
normL2Sqr
(
sample
,
_base_center
,
dims
);
double
dist
=
hal
::
normL2Sqr_
(
sample
,
_base_center
,
dims
);
if
(
max_dist
<=
dist
)
{
...
...
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