Comments (2)
I'd prefer MedMnist
from rising.
@justusschock
This will probably be our main example because it is very easy to use (we can add additional features to other notebooks in the future): I think we should put in a bit more effort into this one add some additional features:
- Make it easy to switch between CPU and GPU execution and report training time for both in the text (a real cpu vs gpu benchmark could follow in the future but we should use volumetric data for that to showcase the computational benefits)
- Showcase multiple augmentation pipelines (at least one lightweight one and one very extensive) and report results for classification
from rising.
Related Issues (20)
- [FeatureRequest] Spatial Transform equivalent
- [FeatureRequest]Additional intensity transforms
- [FeatureRequest] Queue for GPU transforms
- [FeatureRequest] Additional examples inside doc strings
- [FeatureRequest] MRI Motion artefacts
- [FeatureRequest] MRI K-Space Artefacts
- [FeatureRequest] Add Equivalent to Models Genesis Transform HOT 2
- [Bug] RandomCrop cropping several keys differently HOT 1
- [FeatureRequest] Extend test pipeline to check two keys
- What is the advantage compared to the kornia? HOT 3
- [Bug] Mirror transformation does not accept prob keyword parameter HOT 1
- Lightning segmentation missing visualisation HOT 1
- [Bug] Wrong point/image trafo HOT 3
- [Bug] Scale(...,adjust_size=True) does not result in image with all the content of original image HOT 1
- [Bug] GPU transforms are not fed GPU data for keys other than 'data' HOT 1
- [Bug] Docstring for random_crop claims it returns crops corner but it doesn't
- [Question] Multi-gpu support? HOT 1
- still maintain this framework? HOT 6
- [Question] Citation? HOT 2
- Greetings for sudden updates.
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from rising.