TransCaffe

This is a minor task while I work on my other project. I'm never a fan of using Caffe (although it's pretty fast and seems awesome!), and I'm also annoyed by the fact they are using protobuffer and there is no obvious way of porting to other languages. And I hate building Caffe from scratch on my Mac.

This project is to provide a conversion tool for Caffe pre-trained models. At first stage, I would like to call out all the weights, and at the second stage, I would like to develop a more obvious network coding and save it into HDF5 format. On the final stage, I hope that I can create a model zoo where I deliver this HDF5 format data.

NOTICE: Apparently protobuf does not support python 3 that well. I've tested all python 3.3, 3.4 and 3.5 and they are all failed. At this point, please use this package with Python 2.7.

DEVELOPMENT: Keras obviously provides a much more mature organization on saving trained models. My further development is inspired by one recent development by MarcBS's Caffe2Keras module. It seems that MarcBS's implementation has some unstable points. Once I somehow replicated his parser, I would soon publish a set of tested conversion. And if it's possible, I would like to poring it to other popular libraries too.

Todo List

• parse the prototxt
• parse the .caffemodel
• functions for call out parameters
• possible drawing functions
• reading and writing utility functions
• check on CIFAR-10 NIN models (why it's not loading correctly)
• compare the activation of MNIST with torch model.
• try to load with VGG-16, VGG-19 (compare with this)
• More support layers for SNN (LRN, Batch Normalization, etc)
• More support activation functiosn for SNN
• Planning on lasagne loading functions
• Possible to parse torch model as well?

Contacts

Yuhuang Hu
Email: duguyue100@gmail.com