keras-cv
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Master Issue to track Preprocessing Layer Support for BBox and Segmentation Masks
Segmentation Masks:
- [x] AugMix: https://github.com/keras-team/keras-cv/pull/1988
- [x] FourierMix: https://github.com/keras-team/keras-cv/pull/1991
- [ ] RandAugment
- [x] RandomCrop: https://github.com/keras-team/keras-cv/pull/2027
- [x] RandomCutout: https://github.com/keras-team/keras-cv/pull/2004
- [x] RandomShear: https://github.com/keras-team/keras-cv/pull/2021
- [x] RandomTranslation: https://github.com/keras-team/keras-cv/pull/2024
- [x] RandomZoom - https://github.com/keras-team/keras-cv/pull/2010
- [ ] RandomAspectRatio
BBox:
- [ ] CutMix
- [ ] FourierMix
- [x] RandAugment: https://github.com/keras-team/keras-cv/issues/728
- [x] RandomCutout: https://github.com/keras-team/keras-cv/issues/730
- [ ] RandomZoom - @ariG23498
The list directly comes from this README.
CC: @ianstenbit
Partially similar. https://github.com/keras-team/keras-cv/discussions/93
Hi ! I'm going to work in add augment_bounding_boxes support to RandAugment layer #728 🤗
Hi @cosmo3769 -- I have noticed you taking up on a lot of segmentation map layers 🤗 . Thanks for that. Could you first claim the layers in this issue? -- That would help us track the progress better.
@ariG23498 Surely. I would tag this issue first before opening a new PR.
Hi @ariG23498, I have worked on adding segmentation mask support in RandomShear layer. Opening a PR.
@ariG23498 Could you please add RandomAspectRatio in the 'Segmentation Mask' section in the description above. It's missing here.
@ariG23498 Taking up RandomTranslation and RandomCrop
@ariG23498 can I take CutMix and FourierMix in BBox?
@ariG23498 can I take CutMix and FourierMix in BBox?
Hey @Zekrom-7780 please feel free to take them up! As soon as you have made a PR link this issue and I will update the description accordingly. Thanks!
- [x] RandomCrop: [RandomTranslation] Supporting Segmentation Masks #2024
Hi @ariG23498, the correct link is [RandomCrop] Supporting Segmentation Masks #2027. Please update. Thank you.