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albumentations-team / albumentations

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
https://albumentations.ai
MIT License
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Add transforms from torchio.readthedocs.io #1016

Open ternaus opened 2 years ago

ternaus commented 2 years ago

There is a set of augmentations specific for medical imaging in the torchio.readthedocs.io.

The license there is Apache 2 => As I understand, we can use some of the transforms from there in Albumentations. Of course, we need to keep the link to the original implementation in the docstring.

For example:

deepto98 commented 2 years ago

@ternaus Hi, I'd like to work on this issue, can you please assign it to me? Also can you point me to existing examples of similar transforms in the codebase that I can refer to, in order to understand the workflow?

BloodAxe commented 2 years ago

We have Contributing guide that will help you set up the development environment. Since abovementioned augmentations are image-only, you can take a look on A.GaussNoise for example as an example what should be implemented.