DAN: a Segmentation-free Document Attention Network for Handwritten Document Recognition

This repository allows to use the DAN model, a Segmentation-free Document Attention Network for Handwritten Document Recognition. Both training and inference are possible using the multiple commands exposed.

The model uses a character-level attention to handle slanted lines:

Click here to learn more about the model and how it fares against SOTA models.

Getting started

To use DAN in your own environment, install it using pip:

pip install -e .

To learn more about the newly installed teklia-dan command, make sure to run:

teklia-dan --help

Linter

Code syntax is analyzed before submitting the code.
To run the linter tools suite you may use pre-commit.

pip install pre-commit
pre-commit run -a

Run tests

Tests are executed with tox using pytest.

pip install tox
tox

To recreate tox virtual environment (e.g. a dependencies update), you may run tox -r