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Description
In our detection references we have a couple of transformations that can handle images and bounding boxes simultaneously:
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RandomPhotometricDistortport RandomPhotoMetricDistort to prototype transforms #5663 -
RandomZoomOutport RandomZoomOut from detection references to prototype transforms #5551 -
RandomIoUCrop@vfdev-5 [proto] Ported RandomIoUCrop from detection refs #6401 -
ScaleJitter@pmeier portScaleJitterfrom detection reference to prototype transforms #6411 -
FixedSizeCrop@pmeier portFixedSizeCropfrom detection references to prototype transforms #6417 -
RandomShortestSizeportRandomShortestSizefrom detection references to prototype transforms #6418 -
SimpleCopyPaste@vfdev-5 [proto] Ported SimpleCopyPaste transform #6451
They never made it into torchvision.transforms since have a different call signature than all other transforms there. Now that torchvision.prototype.transforms support simultaneous transforming of multiple types, we can migrate them.