Comments (1)
hsyang1222
commented on June 29, 2024
The performance increase is inconsistent, I'll do more performance evaluation and open the issue
from torchio.
Related Issues (20)
- Different transforms applied to CT and label HOT 11
- The Affine matrix does not change after applying the augmentations HOT 3
- Custom loader not used when loading data lazily HOT 2
- Seed is not working HOT 2
- Silenced exception makes it harder to debug custom Transforms HOT 5
- Resample
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- Setting NUM_SAMPLES when using sampler with Queue HOT 3
- RescaleIntensity - multiple calls HOT 9
- Return sampled parameters upon request HOT 3
- Halve queue length when using DDP HOT 2
- bug in rotation part of tio.transforms.RandomAffine HOT 4
- get_subjects_from_batch has a hick-up with int metadata HOT 5
- masking_method in Mask class is not saved as argument (preventing applying the inverse transform)
- RandomAffine raises an error when isotropic=True and 3 elements are given for scales HOT 10
- Queue is not respecting the batch size HOT 1
- Resample an image by providing only the target affine HOT 1
- Supporting PyTorch 2.3 HOT 9
- Cannot copy subclass of Subject with keyword arguments HOT 1
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from torchio.