I joined Google this year. Google permits me to spend time on the OCRopus 
project and contribute. As part of this, I moved the project to Github, 
because it's easier to maintain there.

I just pushed out a new update of ocropy. This includes mainly 
faster/smaller saving of models, as well as a C++ implementation of the 
LSTM network. The C++ LSTM implementation is a pretty straightforward port 
of the Python version and runs much faster. The C++ classes have been 
wrapped as Python classes and are callable from Python. There are two new 
top-level drivers, ocropus-ltrain and ocropus-lpred, for the C++ 
implementation. The C++ implementation appears to be numerically close to 
the Python implementation and yield good recognizers when trained, but it 
requires more testing.

As before, this is research-level software with minimal documentation (do 
look at the iPython Notebooks, the .ipynb files, since they contain 
significant information). Feel free to contribute patches, documentation, 
etc. using the usual Github mechanisms of merge requests. I'll try to 
incorporate them as time permits.

Tom

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