README.md

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

For more details about this package, make sure to see the documentation available at https://atr.pages.teklia.com/dan/.

Development

For development and tests purpose it may be useful to install the project as a editable package with pip.

• Use a virtualenv (e.g. with virtualenvwrapper mkvirtualenv -a . dan)
• Install dan as a package (e.g. pip install -e .)

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