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Update README
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calvozaragoza committed Sep 18, 2019
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Expand Up @@ -55,8 +55,8 @@ For running inference over an input image, `ctc_predict.py` can be used, along w

The repository is not provided with trained models but these can be download from:

* [Agnostic model](https://www.dlsi.ua.es//~jcalvo/data/Models/PrIMuS/Agnostic-Model.zip)
* [Semantic model](https://www.dlsi.ua.es//~jcalvo/data/Models/PrIMuS/Semantic-Model.zip)
* [Agnostic model](https://grfia.dlsi.ua.es/primus/models/PrIMuS/Agnostic-Model.zip)
* [Semantic model](https://grfia.dlsi.ua.es/primus/models/PrIMuS/Semantic-Model.zip)

These models were the result of the traning process for one of the folds of the 10-fold cross-validation considered in the paper.

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## Contact:

* Jorge Calvo Zaragoza ([email protected])

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