opencv/apps/traincascade
Adil Ibragimov 8a4a1bb018 Several type of formal refactoring:
1. someMatrix.data -> someMatrix.prt()
2. someMatrix.data + someMatrix.step * lineIndex -> someMatrix.ptr( lineIndex )
3. (SomeType*) someMatrix.data -> someMatrix.ptr<SomeType>()
4. someMatrix.data -> !someMatrix.empty() ( or !someMatrix.data -> someMatrix.empty() ) in logical expressions
2014-08-13 15:21:35 +04:00
..
boost.cpp
boost.h
cascadeclassifier.cpp
cascadeclassifier.h
CMakeLists.txt
features.cpp
haarfeatures.cpp
haarfeatures.h
HOGfeatures.cpp
HOGfeatures.h
imagestorage.cpp
imagestorage.h
lbpfeatures.cpp
lbpfeatures.h
old_ml_boost.cpp
old_ml_data.cpp
old_ml_inner_functions.cpp
old_ml_precomp.hpp
old_ml_tree.cpp
old_ml.hpp
traincascade_features.h
traincascade.cpp