This neural network is based on Attention-OCR models. Install python3 and packaches before using. Type python3 -m pip install -r requirements.txt to install additional packages.
The model is based on recent work by Harvard University NLP Team.
The architecture is based on Attention OCR. Contains CNN layer for feature extracting from image (encoder), and Attention + RNN Seq2Seq layer (decoder)
For training model use script src/utils/train.py.
Type python3 src/utils/train.py -h to see possible arguments.
Training process requires tokenized LaTeX formulas, images of formulas directory, LaTeX tokens vocabulary and image-formula vocabulary.
Better use small images to avoid memory stack overflow. All processes log themselves, so you can debug code easily.
For launching Flask server execute script src/web/app.py.
Type python3 src/web/app.py -h to see possible arguments.
Inference requires model parameters and LaTeX vocabulary. It is not allowed to load on processing images weighting 1Mb memory or more.