Comments (2)
FabianIsensee
commented on August 16, 2024
From the documentation:
We supports a variety of augmentations, all of which are compatible with 2D and 3D input data! (This is something that was missing in most other frameworks).
I assume by dataloader you mean the pytorch dataloader? As far as I know that one does not support 3D images. Also, we started developing batchgenerators a LONG time ago. Back then pytorch was not born yet :-)
Performance wise it is the same as the pytorch dataloader.
Best,
Fabian
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jizongFox
commented on August 16, 2024
Thanks for your comment and this wonderful job!
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Related Issues (20)
- Suggestion of multiprocess mechanism in MultiThreadedAugmenter
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