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https://github.com/keras-team/keras-cv/pull/198#issuecomment-1076669016
bhack updated
2 years ago
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Hi, 👋 Thanks for such an amazing library and taking out the time to implement so many parts of the CoatNet paper!
In your CoAtNet README, you mentioned you use TPU accelerators. Could you provide a…
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Hi, dear authors!
Thank you for your amazing job!
Could you tell me which `config.py` use `RandAugment`?
Thank you!
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I am very skeptical that the algorithms that use `add_dataset_transform` in `composer.utils.data` work as intended, as the dataloader workers are already created before the INIT event runs (and the al…
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https://github.com/tensorflow/similarity/blob/906d141b75acf00d0e1d37dd0d88c432bbb30f57/tensorflow_similarity/augmenters/img_augments.py#L452
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Hi, could you provide the hyperparameters for reproduce results on the paper of ResMLP-12 and ResMLP-24 on CIFAR-10 and CIFAR-100?
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Hi,
@LukeWood
I have built an library called TensorPipe, this is an ImageGenerator on steroids library.
Please take a look and let me know if we can integrate it :)
this is an input pipeline with …
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Thank you for your great work.
I have a question about the code:
As `timm.data.create_transform` returns `timm.data.auto_augment.RandAugment` object, I checked the behavior of this object by pas…
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Hi,
According to the theory, in stage 1, two different types of augmentations should be applied to a batch of samples.
1) crop and resize
2) AutoAugment/randaugment/simaugment.
It seems the code d…