Wahab Kawafi

I am struggling with this error as well. # Here is the code I execute I usually just use `tio.Subject(tio.ScalarImage(tensor=array)` but added the extra bits to be sure I tried...

Hello @fepegar thank you for your reply, I have found the source of the error but unsure of how to fix it # Minimum working example ```python import numpy as...

Hi @fepegar , I can't use a more modern tio since my project uses `numba` which relies on `numpy

Awesome thanks @fepegar I will submit a PR

@fepegar Looks like you beat me to it and incorporated this fix in this commit 38ae6c1efd00685a1c7bec4bbfff54f14f2a29a1 I will pull it and test it

Looks all good from my side :+1: thanks so much for the fix :) It now works on this machine ``` Platform: Linux-5.4.0-131-generic-x86_64-with-glibc2.17 TorchIO: 0.18.85 PyTorch: 1.13.0+cu117 SimpleITK: 2.2.0 (ITK...

After some experimentation I realised that this can't be done with changes to the aggregator alone. The model output size must be communicated to `GridSampler` beforehand, because this requires padding...

This fixes https://github.com/fepegar/torchio/issues/1001. I have described the issue and in detail I believe https://github.com/fepegar/torchio/issues/1001, I think this is PR is ready to be merged except for the final questions. I'm...

@fepegar This is ready now when you have time to review. Please read the second comment, the first was the draft PR. I tried squashing my commits using the tutorial,...

I have ran into this error as well during dataset verification: ``` Case 299. Skipped. Mean value: -1.850000023841858, std: 0.9800000190734863, d: 256.0, h: 333.0, w: 333.0 0%|▊ | 2/420 [00:00