Comments (1)
fepegar
commented on July 24, 2024
Data
- CLI tool
- ImagesDataset
- Image
- Subject
- Samplers
- Aggregator
- Queue
Transforms
- Transform
Preprocessing
- NormalizationTransform
- Rescale
- ZNormalization
- HistogramStandardization
- CenterCropOrPad
- Crop
- Pad
- Resample
- ToCanonical
Augmentation
- RandomTransform
- RandomFlip
- RandomAffine
- RandomElasticDeformation
- RandomMotion
- RandomGhosting
- RandomSpike
- RandomBiasField
- RandomBlur
- RandomNoise
- RandomSwap
Others
- Lambda
from torchio.
Related Issues (20)
- 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
- 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
- tio.Resample does not work with custom image class HOT 2
- 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
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from torchio.