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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
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8
dlib/simd/simd8f.h
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@ -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
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;
}; };

4
dlib/simd/simd8i.h
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@ -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;

2
examples/dnn_mmod_train_find_cars_ex.cpp
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@ -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 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 // 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