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add CIOU/DIOU/GIOU losses (from efficientdet library) #9083

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@johnpjust johnpjust commented Aug 10, 2020

Description

📝 Please include a summary of the change.

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  • Bug fix (non-breaking change which fixes an issue)
  • Documentation update
  • TensorFlow 2 migration
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extending iou loss options
adding IOU losses
@johnpjust
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Note -- the autoaugment changes were upgrades for TF2 compatibility. They have also been verified (also taken from automl efficientdet repository), but not sure why they got added to this PR. I tried to separate them into a different pull request but no luck....

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johnpjust commented Aug 15, 2020

Also a note for a TODO for down the road....when using the autoaugment policy with augmix=True (default is False), the bbox returned on the transformations is not correct when image gets blended with rotates and translates. I didn't modify the code from the automl repository so its a carryover from there.

@bhack
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bhack commented Aug 16, 2020

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bhack commented Sep 19, 2020

@b04505009
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Will this PR be checked? I think ciou is a great feature to add

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