Add custom Augmentations - Albumentation Wrapper #263
+468
−13
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Description
This PR adds custom Albumentations wrappers and additional augmentation classes to the rf-detr repository, addressing issue #81. The changes enable seamless integration of Albumentations transforms with bounding box support, as well as custom resizing and cropping augmentations missing from torchvision. A RandomSelect wrapper is also introduced to probabilistically select between two augmentation pipelines, increasing augmentation diversity.
This enhancement improves flexibility and configurability of data augmentations for object detection training pipelines.
Dependencies:
Type of change
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How has this change been tested, please provide a testcase or example of how you tested the change?
Verified integration by running training with new augmentations enabled.
Additionally, original vs. augmented images were saved along with the bboxes for further inspection.
You can check an example below:
The augmentations are loaded from a config file.