Add Depth Anything V2 Android Learning Path

[eladgr]

Summary

• Add a Learning Path for running Depth Anything V2 Small INT8 on an Arm-based Android phone.
• Cover environment preparation, application installation, model download, depth estimation, and offline validation.
• Explain the fixed 518 x 686 geometry, ImageNet normalization, and relative-disparity output.
• Document the model’s provenance, limitations, and NYU Depth V2 evaluation scope.

Dependency

This Learning Path depends on the Depth Anything support in Android application PR #3.

The Learning Path intentionally uses draft: true until the Android application PR is merged.

Validation

• Hugo 0.130.0 production build completed successfully with drafts enabled
• Front matter and page structure reviewed
• All five external resource links returned HTTP 200
• Author metadata verified
• No MobileSAM references appear in the new Learning Path
• Validate the application on an Android emulator
• Run two visually distinct images and confirm input-dependent finite results
• Verify inference in airplane mode
• Complete the physical Arm64 Android phone validation

Before submitting a pull request for a new Learning Path, please review Create a Learning Path.

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