Comments (1)
Nic-Ma
commented on July 20, 2024
Hi All,
To start this discussion, I have a proposal of "Refactor input ‘transform’ interfaces":
- Keep current 'vanilla' implementation of transforms, it's similar to torchvision and user can use it if they don't have "dict" input data.
- Add another higher level adapter or proxy class to handle "dict" based input data. Take "random window croping" for example, this proxy layer will:
(1) generate a random window.
(2) call our crop_transform twice to crop the same window on 2 apply keys('image', 'label').
Welcome your discussion and please feel free to correct me if I misunderstand anything.
Thanks in advance.
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