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📝 README: Update to reflect that this is mainly for documentation of the trained model

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Mike Gerber 2020-02-13 11:04:58 +01:00 • committed by GitHub
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@ -2,14 +2,21 @@ Train a GT4HistOCR Calamari model
================================= =================================
`train.sh` trains a Calamari model based on GT4HistOCR. Or rather 5 using `train.sh` trains a Calamari model based on GT4HistOCR. Or rather 5 using
cross-validation to use for confidence voting. cross-validation to use for confidence voting. This repository mainly
serves as documentation of the providence of the model published at
Requires Calamari 0.3.5. https://qurator-data.de/calamari-models/, not as the definitive guide to
training such a model.
`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.
Trained models Trained models
-------------- --------------
For a finished model have a look here: For a finished model have a look here:
https://qurator-data.de/calamari-models/ 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](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.