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There arise some cases when a baseline goes too close the border to a region and then the kraken engine fails to assign it to this region. In eScriptorium it looks like the baseline is assigned to the rose region:
However if I look closer, the baseline is not assigned and cannot be assigned even manually:
Here are also the corresponding parts from XML files that I get from kraken.
The dummy region to which the above mentioned baseline is assigned:
Did you try training a baseline labeling model? Maybe you solve this issue with your own model.
Yes this is my trained models, both baseline- and regionmodel. I finetuned them separately with --suppress-regions and --suppress-baselines parameters.
I'm running kraken segmentation inference with the following command, including two different models for baselines- and regions- recognition:
There arise some cases when a baseline goes too close the border to a region and then the kraken engine fails to assign it to this region. In eScriptorium it looks like the baseline is assigned to the rose region:
However if I look closer, the baseline is not assigned and cannot be assigned even manually:
Here are also the corresponding parts from XML files that I get from kraken.
The dummy region to which the above mentioned baseline is assigned:
and the empty Författare region to which the baseline should ACTUALLY be assigned:
Is it something that can be fixed somehow?
Thanks in advance.
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