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Introduce keras-io documentation for KerasCV #852
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@LukeWood possible to share access to the Colab? I wanna 👀 |
@fchollet FYI updated the augmentation guide and added an additional guide |
@LukeWood changes look good. Thank you! |
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Thanks for the PR! I applied some minor copyedits. The content looks great!
LGTM, let me know what needs to be done to merge this. Maybe we should wait for 2.9 to go live so we can depend on that in KerasCV instead of tf-nightly? |
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I think it makes sense to wait for 2.9 before doing a big publicity push. RC0 is already out, so 2.9 is probably ~2 weeks away.
How long does it take to generate the new guides on CPU? Pretty quick I assume? |
Actually I think the ResNet50 training takes a very long time on CPU. COCO metrics run on CPU no matter what, so those are fast. |
Ah, this fails right now because it depends on tf-nightly. Will be fixed on 2.9. |
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Thanks Luke! Was just peeping this PR to make a similar one for keras-nlp, found some small typos.
Thanks @mattdangerw - updated |
@mattdangerw @fchollet @qlzh727 @martin-gorner FYI new guide added |
FYI (all current reviewers) @fchollet @innat @mattdangerw @qlzh727 @sayakpaul there is a new guide on subclassing BaseImageAugmentationLayer. Let me know if you all have any feedback regarding this new guide |
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BaseImageAugmentationLayer
is going to be amazing!
guides/keras_cv/writing_custom_image_augmentations_with_baseimageaugmentationlayer.py
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@fchollet do I need to re-run some sort of autogen script to fix this issue? |
Figured it out |
We can submit this after the v0.1.0 release of KerasCV (I plan to do this in a week~ or so...)
Feedback needed on the guides, and here is a Colab link so you can see the images in the guide:
https://colab.research.google.com/drive/1t3lwXhA1guK3nwIyz1-kIs84OuZUMci5?usp=sharing
I'll be adding a COCO metrics guide tomorrow.