You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Due to being stuck on CentOS 7 with rather outdated nvidia drivers, we can only currently test up to Tensorflow <=2.11.x and CuDNN <=8.1.x here (applies for sbb_binarization, eynollah and sbb_pixelwise_segmentation). I will make the updates to READMEs and requirements.txt asap.
@cneud your requirement change in eynollah pinned that to 2.12. That in turn excludes using it together (in the same venv, as is most useful for ocrd_all) with sbb-binarization, which with your change requires <2.12.
This difference involves a significant switch from protobuf 3 to 4.
I have tried with the CI tests (running the OCR-D wrapper on kant_aufklaerung_1784-page-region): TF 2.11 and 2.12 produce binary-identical results.
So can we please update to 2.12 here?
(Also, why pin eynollah to 2.12.1 rather than 2.12.*?)
Minimum Tensorflow version sticks with 2.4 but should be 2.12.1 to be in line with eynollah.
The text was updated successfully, but these errors were encountered: