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juliendenize
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torchaug
Library to perform efficient vision data augmentations for CPU/GPU per-sample/batched data.
https://torchaug.readthedocs.io/en/latest/
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Refactor the whole code to follow Torchvision transforms v2 API
#21
juliendenize
closed
7 months ago
1
Refractor transforms to torchvisionv2
#20
juliendenize
closed
7 months ago
0
Improve onboarding
#19
juliendenize
opened
7 months ago
0
Refractor on torchvision v2
#18
juliendenize
closed
7 months ago
0
Add torchaug tensors based on torchvision tensors
#17
juliendenize
closed
8 months ago
0
Update import to Torchvision v2 and pre-commit
#16
juliendenize
closed
10 months ago
1
Add compile tests
#15
juliendenize
closed
1 year ago
1
Change BatchRandomGrayScale name to BatchRandomGrayscale and add RandomGrayscale
#14
juliendenize
closed
1 year ago
1
Refractor code
#13
juliendenize
closed
1 year ago
1
Add VideoBase
#12
juliendenize
closed
1 year ago
1
Updating video_format via wrappers is too late
#11
juliendenize
closed
1 year ago
0
Inplace error after expand
#10
juliendenize
closed
1 year ago
1
Read the docs
#9
juliendenize
closed
1 year ago
0
Improve tests
#8
juliendenize
closed
1 year ago
1
Improve BatchRandomTransform
#7
juliendenize
closed
1 year ago
1
Change layout project
#6
juliendenize
closed
1 year ago
0
Add MixUp and BatchMixUp
#5
juliendenize
closed
1 year ago
1
Add documentation
#4
juliendenize
closed
1 year ago
0
Add inheritance classes
#3
juliendenize
closed
1 year ago
1
Add cast_dtype to normalize transform
#2
juliendenize
closed
1 year ago
1
Add video wrappers and normalize.
#1
juliendenize
closed
1 year ago
1
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