dlib/tools/convert_dlib_nets_to_caffe
Davis King 10d3f93333 Dlib and caffe actually do use max pooling layers with padding in the same way.
So I just removed the error check that was preventing the conversion from
proceeding in that case.  I also added more useful output messages about
setting input tensor dimensions.
2017-05-19 20:16:40 -04:00
..
CMakeLists.txt Added a simple tool to convert dlib model files, which are saved as XML files, 2017-05-06 15:02:38 -04:00
main.cpp Dlib and caffe actually do use max pooling layers with padding in the same way. 2017-05-19 20:16:40 -04:00
running_a_dlib_model_with_caffe_example.py Renamed file 2017-05-07 19:08:41 -04:00