Comments (4)
The unet is the same as in v1 and only accepts sizes that are multiple of 32 (it's not just odd that is the problem). Not sure it's fixable, it comes from the upsampling path that multiplies the size by 2 at each step.
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Ow, I see... Should this be added to DynamicUnet
and unet_learner
documentation?
Would a transform that resizes images to the closest multiple of 32 helpful? Currently it's a pain to do inference with a U-net, because I don't want my images to be resized to a fixed number.
from fastai2.
Yes it should be documented unless fixed. In v1, there was a default that put the size to a multiple of 32 by default, not sure it's in v2.
from fastai2.
I'll check that and possibly submit a PR.
Thanks :)
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