| --- |
| license: apache-2.0 |
| base_model: |
| - depth-anything/DA3MONO-LARGE |
| base_model_relation: quantized |
| pipeline_tag: depth-estimation |
| library_name: coreml |
| tags: |
| - coreml |
| - depth-anything-3 |
| - monocular-depth |
| - macos |
| - apple-silicon |
| - fp16 |
| --- |
| |
| # Depth Anything 3 Mono Large — Core ML (504×504, FP16) |
|
|
| Core ML conversion of [DA3MONO-LARGE](https://huggingface.co/depth-anything/DA3MONO-LARGE) (Depth Anything 3, ByteDance Seed) for on-device monocular depth on Apple Silicon Macs. It runs on the GPU or the Neural Engine. |
|
|
| Anyone may use it under the same Apache-2.0 license as the upstream weights. |
|
|
| ## Files |
|
|
| | File | Size | Notes | |
| |------|------|-------| |
| | `DA3MonoLarge504.mlpackage.zip` | ~620 MB | ML Program, FP16 weights, minimum macOS 13 | |
|
|
| ## Specification |
|
|
| | | | |
| |---|---| |
| | Input `image` | `(1, 3, 504, 504)` float32, RGB in `[0, 1]`. ImageNet normalization is built into the model. | |
| | Output `depth` | `(1, 504, 504)` relative depth (larger = farther) | |
| | Output `sky` | `(1, 504, 504)` sky score (values above 0.5 are sky) | |
| | Shape | Fixed at 504×504. For other aspect ratios, letterbox (pad) to a square. | |
|
|
| Speed on an M5 Max is about 31 ms per frame on the GPU, measured end to end including I/O. |
|
|
| On a sample frame, the output differs from the PyTorch reference by about 0.03% (mean relative difference). |
|
|
| ## Conversion notes |
|
|
| - **Sky post-processing:** The upstream model's data-dependent sky step is not part of the graph. Use the `sky` output to set those pixels to the farthest depth. |
| - **Position embedding:** The DINOv2 position embedding was interpolated to 504×504 and stored as a constant before conversion, because Core ML has no bicubic resize. |
|
|
| ## License |
|
|
| Released under the Apache License 2.0, the same license as the upstream DA3MONO-LARGE weights (see `LICENSE`). |
|
|
| This is an independent conversion. The upstream Depth Anything 3 authors are not affiliated with it and have not endorsed it. |
|
|
| ## Credits |
|
|
| [Depth Anything 3](https://github.com/ByteDance-Seed/Depth-Anything-3) by ByteDance Seed (Haotong Lin et al.). |
|
|
