Releases · jpuigcerver/PyLaia

Support distributed training
Scripts can now be configured using yaml configuration files
Add support for the SGD and Adam optimizers
Support color images
Log the installed version of each module when scripts are called from shell
Add char/word segmentation to the decode script
Add several badges to the README
Support using a ReduceLROnPlateau scheduler during training
A CSV file (metrics.csv) is now created with the results obtained during training
Add CONTRIBUTING file
Training now can include GPU stats in the progress bar
Add isort to pre-commit to keep consistent imports throughout the codebase
Users can run the PyLaia scripts using Python now
Support half-precision training for fixed height models.
Add script to visualize the segmentation output
Use Codecov to produce test coverage reports
Code is now analyzed using CodeFactor

Make Python 3.6 the minimum supported version
Make PyTorch 1.4.0 the minimum supported version
Remove ImageToTensor in favor of vision transform ToImageTensor
Remove all of the internal logic (engine, actions, hooks, etc) in favor of pytorch-lightning's constructs
Change Travis CI for GitHub actions
Greatly improve the progress bar. It is used now in all scripts
The entire shell API has changed for the better (thanks to jsonargparse). Arguments are now separated into groups and help messages are clearer.
Drastically improve our test suite, we now have a 91% coverage

Remove egs directory. These live now at https://github.com/carmocca/PyLaia-examples
Remove Baidu's CTC loss in favor of PyTorch's
Remove PHOC code. Please open an issue if you were using it
Remove Dortmund code. Please open an issue if you were using it
Remove CTCLatticeGenerator. Please open an issue if you were using it
We no longer support saving checkpoints for more than one metric. Will be added back in a future version

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