register depth anything presets

[sachinprasadhs]

Description of the change

Reference

Colab Notebook

Checklist

• I have added all the necessary unit tests for my change.
• I have verified that my change does not break existing code and works with all backends (TensorFlow, JAX, and PyTorch).
• My PR is based on the latest changes of the main branch (if unsure, rebase the code).
• I have followed the Keras Hub Model contribution guidelines in making these changes.
• I have followed the Keras Hub API design guidelines in making these changes.
• I have signed the Contributor License Agreement.

[gemini-code-assist]

Summary of Changes

Hello @sachinprasadhs, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request integrates new configurations for the Depth Anything v2 monocular depth estimation models into the Keras Hub. It specifically registers the small, base, and large variants, enabling users to easily access and utilize these pretrained models with their associated metadata and Kaggle-hosted weights. This enhancement expands the available depth estimation models within the library, making them readily available for use.

Highlights

• New Presets Added: Introduced three new presets for the Depth Anything v2 model: "depth_anything_v2_small", "depth_anything_v2_base", and "depth_anything_v2_large".
• Model Metadata: Each preset includes metadata such as a description, parameter count, and a path identifier for the respective model variant.
• Pretrained Weights: Kaggle handles are provided for each preset to facilitate the loading of pretrained model weights directly from Kaggle.

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[gemini-code-assist]

Code Review

This pull request adds presets for the DepthAnything model by updating the backbone_presets dictionary. The changes are consistent with the project's style guide for presets. I've provided one suggestion to refactor the repetitive description strings for better maintainability.

[james77777778]

Thanks for uploading the presets!

Should we enable the preset tests in the codebase?

• https://github.com/keras-team/keras-hub/blob/master/keras_hub/src/models/depth_anything/depth_anything_backbone_test.py#L54
• https://github.com/keras-team/keras-hub/blob/master/keras_hub/src/models/depth_anything/depth_anything_depth_estimator_test.py#L65

[sachinprasadhs]

@james77777778 , there seems to be some error with the shape

[james77777778]

@james77777778 , there seems to be some error with the shape

Can you update the test to use a 518x518 input, just like this one?
https://github.com/keras-team/keras-hub/blob/master/keras_hub/src/models/depth_anything/depth_anything_depth_estimator_test.py#L85

I forgot to do that in my previous PR.