README.md

metadata

license: cc-by-nc-4.0
base_model: depth-anything/DA3-LARGE
tags:
  - coreml
  - depth-estimation
  - depth-anything-3
pipeline_tag: depth-estimation

DA3-LARGE — CoreML (.mlpackage) for monocular depth

A precompiled Core ML conversion of Depth Anything 3 — DA3-LARGE (the full ViT-L model), exposing a single-image relative-depth output for use in macOS/iOS apps (e.g. the Sbs SBS-3D viewer).

• Input: image, RGB, 504×504, [0,1] (CoreML ImageType; ImageNet norm baked in).
• Output: depth, shape (1, 504, 504), single-channel relative depth.
• Weights: FP16. Only the backbone → depth head is converted; DA3's camera / sky / Gaussian-splat post-processing is bypassed (not needed for monocular depth).
• Conversion notes: the full DA3-LARGE backbone uses RoPE + multi-view camera tokens, so four ops were rewritten for coremltools compatibility (RoPE cartesian_prod, in-place camera-token insert, single-view empty source-token concat, and the head's meshgrid). Behaviour is unchanged for single-image input.

License & attribution

Derived from depth-anything/DA3-LARGE (Depth Anything 3, arXiv:2511.10647), licensed CC-BY-NC-4.0. This conversion is released under the same CC-BY-NC-4.0 license: attribution required, non-commercial use only. Do not use commercially.

For commercial use, see the Apache-2.0 monocular distillation depth-anything/DA3MONO-LARGE (CoreML build).