Comments (2)
for viewing, (saving) purpose it is find to stay with numpy
and when we use pytorch Dataloader, it convert automatically to tensors, so there is no explicit needs ... ?
from torchio.
I suppose.
from torchio.
Related Issues (20)
- Add pythonic slicing support to torchio.Image
- Proposal of a new way for DDP, Distributed Sampler, and Queue to work HOT 3
- Tests for queue are failing on Windows HOT 1
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- Torchio Transformation Does not Working properly HOT 2
- `masked_select` on Z-Normalization slower than indexing HOT 2
- GridSampler without subject for validation HOT 3
- Resize sometimes adds a dimension to LabelMap images HOT 5
- Documentation is not built
- Patch Based Training With Queue Is Not Working Properly HOT 1
- Error when using a lambda function as masking_method in ZNormalization HOT 2
- Combined Affine/Elastic augmentations HOT 1
- The rotation given by Random Affine not accurate HOT 5
- (Optional) state_dict for each transform (reproducibility) HOT 2
- Wrong link to docs in Getting Started tutorial HOT 2
- Suggestions the modifying default value of prefetch_factor and the argument to set it for minimize the blocking-bottleneck between fetch subject and generate patch in Queue HOT 1
- Different transforms applied to CT and label HOT 11
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from torchio.