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钟尚武
dlib
Commits
e6fe1e02
Commit
e6fe1e02
authored
Dec 25, 2017
by
Davis King
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9185e0a7
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3 changed files
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7 additions
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7 deletions
+7
-7
simd8f.h
dlib/simd/simd8f.h
+4
-4
simd8i.h
dlib/simd/simd8i.h
+2
-2
dnn_mmod_train_find_cars_ex.cpp
examples/dnn_mmod_train_find_cars_ex.cpp
+1
-1
No files found.
dlib/simd/simd8f.h
View file @
e6fe1e02
...
@@ -125,8 +125,8 @@ namespace dlib
...
@@ -125,8 +125,8 @@ namespace dlib
return
_high
[
idx
-
4
];
return
_high
[
idx
-
4
];
}
}
inline
simd4f
low
()
const
{
return
_low
;
}
inline
const
simd4f
&
low
()
const
{
return
_low
;
}
inline
simd4f
high
()
const
{
return
_high
;
}
inline
const
simd4f
&
high
()
const
{
return
_high
;
}
private
:
private
:
simd4f
_low
,
_high
;
simd4f
_low
,
_high
;
...
@@ -141,8 +141,8 @@ namespace dlib
...
@@ -141,8 +141,8 @@ namespace dlib
inline
simd8f_bool
(
const
simd4f_bool
&
low_
,
const
simd4f_bool
&
high_
)
:
_low
(
low_
),
_high
(
high_
){}
inline
simd8f_bool
(
const
simd4f_bool
&
low_
,
const
simd4f_bool
&
high_
)
:
_low
(
low_
),
_high
(
high_
){}
inline
simd4f_bool
low
()
const
{
return
_low
;
}
inline
const
simd4f_bool
&
low
()
const
{
return
_low
;
}
inline
simd4f_bool
high
()
const
{
return
_high
;
}
inline
const
simd4f_bool
&
high
()
const
{
return
_high
;
}
private
:
private
:
simd4f_bool
_low
,
_high
;
simd4f_bool
_low
,
_high
;
};
};
...
...
dlib/simd/simd8i.h
View file @
e6fe1e02
...
@@ -91,8 +91,8 @@ namespace dlib
...
@@ -91,8 +91,8 @@ namespace dlib
return
_high
[
idx
-
4
];
return
_high
[
idx
-
4
];
}
}
inline
simd4i
low
()
const
{
return
_low
;
}
inline
const
simd4i
&
low
()
const
{
return
_low
;
}
inline
simd4i
high
()
const
{
return
_high
;
}
inline
const
simd4i
&
high
()
const
{
return
_high
;
}
private
:
private
:
simd4i
_low
,
_high
;
simd4i
_low
,
_high
;
...
...
examples/dnn_mmod_train_find_cars_ex.cpp
View file @
e6fe1e02
...
@@ -124,7 +124,7 @@ int main(int argc, char** argv) try
...
@@ -124,7 +124,7 @@ int main(int argc, char** argv) try
//
//
// To explain this non-max suppression idea further it's important to understand how
// To explain this non-max suppression idea further it's important to understand how
// the detector works. Essentially, sliding window detectors scan all image locations
// the detector works. Essentially, sliding window detectors scan all image locations
// and ask "is there a car
e
here?". If there really is a car in a specific location in
// and ask "is there a car here?". If there really is a car in a specific location in
// an image then usually many slightly different sliding window locations will produce
// an image then usually many slightly different sliding window locations will produce
// high detection scores, indicating that there is a car at those locations. If we
// high detection scores, indicating that there is a car at those locations. If we
// just stopped there then each car would produce multiple detections. But that isn't
// just stopped there then each car would produce multiple detections. But that isn't
...
...
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