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Integrate training from sbb pixelwise segmentation #187
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Merged
kba
merged 167 commits into
main
from
integrate-training-from-sbb_pixelwise_segmentation
Oct 17, 2025
Merged
Integrate training from sbb pixelwise segmentation #187
kba
merged 167 commits into
main
from
integrate-training-from-sbb_pixelwise_segmentation
Oct 17, 2025
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continue training, loss functions, rotation and ...
i.e. `pip install "eynollah[training]"` will install the requirements for training
…ttps://github.com/qurator-spk/eynollah into integrate-training-from-sbb_pixelwise_segmentation
This was referenced Oct 1, 2025
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cneud
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Oct 2, 2025
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All good to go now, thx!
…on as in eynollah proper
…o training-installation
Training installation
…ttps://github.com/qurator-spk/eynollah into integrate-training-from-sbb_pixelwise_segmentation
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This merges the
unifying-training-modelsbranch of https://github.com/qurator-spk/sbb_pixelwise_segmentation into the foldertrain, so we have everything needed for running and training eynollah's components in a single place.I did the merge with:
So, all the commits of
sbb_pixelwise_segmentationare included in eynollah's git history now.I struggled with the documentation, though. The documentation on training models was in different states in three places AFAICS: sbb_pixelwise_segmentation.wiki,
train.mdin sbb_pixelwise_segmentation and indocs/train.mdin eynollah. I did align the texts syntactically to compare and decided thatdocs/train.mdis the most up-to-date version, so I removed the others. While resolving thetrain.mdversion, I also added the eynollah wiki page documenting (an earlier stage of) eynollah (layout) asdocs/eynollah_layout.md. Unless there are good reasons against, I would recommend closing that wiki and keeping all documentation in/docs.Once we merge here, I would:
tf.kerasversion that allows any input resolution and doesn't useLambdalayers sbb_pixelwise_segmentation#16)