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Bumps [tensorflow-gpu](https://github.com/tensorflow/tensorflow) from 2.0.0 to 2.5.1. - [Release notes](https://github.com/tensorflow/tensorflow/releases) - [Changelog](https://github.com/tensorflow/tensorflow/blob/master/RELEASE.md) - [Commits](https://github.com/tensorflow/tensorflow/compare/v2.0.0...v2.5.1) --- updated-dependencies: - dependency-name: tensorflow-gpu dependency-type: direct:production ... Signed-off-by: dependabot[bot] <support@github.com> |
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data@b3d65a11f5 | ||
LICENSE | ||
qurator_data_lib.sh | ||
README.md | ||
requirements.txt | ||
train.sh | ||
upload-prepare.sh |
Train a GT4HistOCR Calamari model
train.sh
trains a Calamari 1 model based on GT4HistOCR. Or rather 5 using
cross-validation to use for confidence voting. This repository mainly
serves as documentation of the provenance of the model published at
https://qurator-data.de/calamari-models/, not as the definitive guide to
training such a model.
Trained models
For a finished model have a look here: https://qurator-data.de/calamari-models/
Training your own model
If you really want to, you can use this script to train your own. It takes about 1 week on a Nvidia RTX 2080 GPU. Please use requirements.txt in that case to setup a virtualenv.
train.sh
is able to download GT4HistOCR from the web if the data
submodule
is not available, that is if you're not a member of the Qurator team at SBB.