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FabianIsensee avatar FabianIsensee commented on August 16, 2024

Hi,
as the message says you need to change the channels. Use mirror_transform = MirrorTransform(axes=(0, 1))

Was this code taken from our repo? If so, from where? I will need to fix it if it was.
Kind regards,
Fabian

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FabianIsensee avatar FabianIsensee commented on August 16, 2024

Found and fixed it, sorry for the inconvenience!
Thanks for pointing out this issue!
Best,
Fabian

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6xfh avatar 6xfh commented on August 16, 2024

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6xfh avatar 6xfh commented on August 16, 2024

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FabianIsensee avatar FabianIsensee commented on August 16, 2024

sorry. It is fixed now

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6xfh avatar 6xfh commented on August 16, 2024

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FabianIsensee avatar FabianIsensee commented on August 16, 2024

Hi,
please be more specific. What is is you would like to do?

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6xfh avatar 6xfh commented on August 16, 2024

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FabianIsensee avatar FabianIsensee commented on August 16, 2024

I am really not sure what the problem is. 'data' is always a tensor of shape (b, c, x, y) or (b, c, x, y, z). b being the batch dimension and c being the number of color channels. batchgenerators does not care how many color channels you have

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6xfh avatar 6xfh commented on August 16, 2024

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FabianIsensee avatar FabianIsensee commented on August 16, 2024

Hi,
most deep learning frameworks operate on float32. It makes sense to do the casting in the background workers so that the main thread can concentrate on the training.
Best,
Fabian

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6xfh avatar 6xfh commented on August 16, 2024

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