keras-team
Migrate ConvNeXT to the new `Backbone` API
To align KerasCV with the KerasNLP API, we're migrating our backbone models to subclass keras_cv.models.Backbone. This allows us to have a more structured, modular API for high-level task models, including the new ImageClassifier model (see https://github.com/keras-team/keras-cv/pull/1458).
A great step-by-step guide to this migration can be found in the description of https://github.com/keras-team/keras-cv/pull/1508, which performed this migration for ResNetV1.
If you'd like to take this issue up, please leave a comment and the KerasCV team can assign the issue to you. When opening a PR, please tag this issue as fixed by your PR, and tag our tracking bug https://github.com/keras-team/keras-cv/issues/1627 for bookkeeping.
@IMvision12 If there's no active work going on from your side on this, can I take it up?
is this open for contribution? If thats the case I would like to take this up and try please.
This issue is stale because it has been open for 180 days with no activity. It will be closed if no further activity occurs. Thank you.
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Thanks for reporting the issue! We have consolidated the development of KerasCV into the new KerasHub package, which supports image, text, and multi-modal models. Please read the announcement. KerasHub will support all the core functionality of KerasCV.
KerasHub can be installed with !pip install -U keras-hub. Documentation and guides are available at keras.io/keras_hub.
With our focus shifted to KerasHub, we are not planning any further development or releases in KerasCV. If you encounter a KerasCV feature that is missing from KerasHub, or would like to propose an addition to the library, please file an issue with KerasHub.
This issue is stale because it has been open for 14 days with no activity. It will be closed if no further activity occurs. Thank you.
This issue was closed because it has been inactive for 28 days. Please reopen if you'd like to work on this further.