| --- |
| license: cc-by-nc-4.0 |
| base_model: depth-anything/DA3-GIANT |
| tags: |
| - coreml |
| - depth-estimation |
| - depth-anything-3 |
| pipeline_tag: depth-estimation |
| --- |
| |
| # DA3-GIANT — CoreML (.mlpackage) for monocular depth |
|
|
| A precompiled **Core ML** conversion of **Depth Anything 3 — DA3-GIANT** (the full |
| ViT-g / 1.15B model), exposing a single-image **relative-depth** output for macOS/iOS. |
|
|
| - **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, ~2.2 GB. Only the **backbone → depth head** is converted (camera / sky / |
| Gaussian-splat heads bypassed). |
| - **Conversion notes:** the full DA3-GIANT backbone uses RoPE + multi-view camera tokens + |
| **qk-norm** + SwiGLU FFN. Five things were handled for coremltools: the four DA3-LARGE |
| RoPE/cam-token/meshgrid rewrites, plus a converter-side cast shim (numpy 2.x refuses |
| `int()` on size-1 non-0-dim arrays, which breaks the const-cast of `H//patch_size`). |
| Single-image behaviour is unchanged. |
|
|
| This is the highest-capacity DA3 depth variant, and correspondingly the slowest at inference — |
| for real-time monocular depth the smaller |
| [DA3MONO-LARGE](https://huggingface.co/depth-anything/DA3MONO-LARGE) / |
| [DA3-LARGE](https://huggingface.co/sdkv2/DA3-LARGE-CoreML) are usually the better trade-off. |
|
|
| ## License & attribution |
|
|
| Derived from **[depth-anything/DA3-GIANT](https://huggingface.co/depth-anything/DA3-GIANT)** |
| (Depth Anything 3, arXiv:2511.10647), **CC-BY-NC-4.0**. Released under the same license: |
| **attribution required, non-commercial use only.** For commercial use, see the Apache-2.0 |
| [depth-anything/DA3MONO-LARGE](https://huggingface.co/depth-anything/DA3MONO-LARGE). |
|
|
