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Problems like object detection/segmentation needs transforms on the image to be concomitant with transforms on auxiliary data (bounding boxes, segmentation masks...). I have had to implement such functionality by porting functions from,
https://github.com/tensorflow/models/blob/master/research/object_detection/core/preprocessor.py
If there's interest in having such functionality reside here, I would be very interested contributing to this. I'm not entirely sure what design choices I'd have to abide by here.
(I also have been porting some non-vectorizable procedures for NMS and RandomCrop sampling, which likely should also reside here).
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