OrgLion-ML
/
dlib
mirror of https://github.com/davisking/dlib.git
1
0
Fork 0
Code Issues Releases Wiki Activity

merged

This commit is contained in:
Davis King 2017-12-25 08:51:15 -05:00
parent c9faacce29 9185e0a725
commit e6fe1e0259
3 changed files with 7 additions and 7 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

8
dlib/simd/simd8f.h
View File

@ -125,8 +125,8 @@ namespace dlib
return _high[idx-4];
}
inline simd4f low() const { return _low; }
inline simd4f high() const { return _high; }
inline const simd4f& low() const { return _low; }
inline const simd4f& high() const { return _high; }
private:
simd4f _low, _high;
@ -141,8 +141,8 @@ namespace dlib
inline simd8f_bool(const simd4f_bool& low_, const simd4f_bool& high_): _low(low_),_high(high_){}
inline simd4f_bool low() const { return _low; }
inline simd4f_bool high() const { return _high; }
inline const simd4f_bool& low() const { return _low; }
inline const simd4f_bool& high() const { return _high; }
private:
simd4f_bool _low,_high;
};

4
dlib/simd/simd8i.h
View File

@ -91,8 +91,8 @@ namespace dlib
return _high[idx-4];
}
inline simd4i low() const { return _low; }
inline simd4i high() const { return _high; }
inline const simd4i& low() const { return _low; }
inline const simd4i& high() const { return _high; }
private:
simd4i _low, _high;

2
examples/dnn_mmod_train_find_cars_ex.cpp
View File

@ -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
// the detector works. Essentially, sliding window detectors scan all image locations
// and ask "is there a care 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
// 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