Added template framework for applying transforms to distance maps #10
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
nnUNet currently does not have a framework for loading in distance maps that were calculated offline, though I have a version of nnUNet with a modified dataloader that can do this. For full functionality, distance maps should also be cropped and transformed in a similar fashion to the image and segmentation data. The easiest way to do this is to add another key in the data dictionary called 'dist_map'. If the data has this key, then a transform can call _apply_to_dist_map. Modifying the BasicTransform class is the simplest way to add this functionality to other transforms.