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monniert / docExtractor

(ICFHR 2020 oral) Code for "docExtractor: An off-the-shelf historical document element extraction" paper
https://www.tmonnier.com/docExtractor
MIT License
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Post-processing step #16

Closed ghost closed 2 years ago

ghost commented 2 years ago

Hi @monniert

Thank you very much for sharing the code with us.

When running the "tester.py" script, the results are obtained by using only the trained model or the trained model followed by the post-processing step?

Thank you in advance

monniert commented 2 years ago

Hi, in tester.py the results are the raw output of the model (no post-processing), please see the seg_evaluator.py (https://github.com/monniert/docExtractor/blob/master/src/seg_evaluator.py#L138) or extractor.py (https://github.com/monniert/docExtractor/blob/master/src/extractor.py#L136) scripts to obtain results with the post-processing step

monniert commented 2 years ago

closing the issue, please reopen if needed