| --- |
| license: apache-2.0 |
| base_model: depth-anything/Depth-Anything-V2-Small |
| tags: |
| - depth-estimation |
| - monocular-depth |
| - depth-anything |
| - core-ai |
| - apple-silicon |
| - macos |
| library_name: swift-depth-estimator |
| --- |
| |
| # img-depth-anything — Depth Anything V2 Small for Core AI (macOS 27) |
|
|
| [Depth Anything V2](https://github.com/DepthAnything/Depth-Anything-V2) Small (Yang, Kang, Ming, |
| Xu, Feng and Zhao, NeurIPS 2024; Apache 2.0) exported from the authors' own code and checkpoint |
| (`depth_anything_v2_vits.pth`) to an Apple Core AI `.aimodel` for on-device monocular depth. Read |
| by [swift-depth-estimator](https://github.com/arraypress/swift-depth-estimator) and the |
| [`img depth`](https://github.com/arraypress/swift-img-cli) verb. |
|
|
| ## Files |
|
|
| | Path | What | |
| |---|---| |
| | `img-depth-anything-v2-small-float32.aimodel/` | Nine entry points, one per input size the authors' `Resize` (shorter side 518, multiples of 14, `lower_bound`) produces for common aspect ratios: `h518w518`, `h518w686`, `h686w518`, `h518w784`, `h784w518`, `h518w924`, `h924w518`, `h518w826`, `h826w518`. Each takes an ImageNet-normalised RGB image `[1, 3, H, W]` and returns relative inverse depth `[1, H, W]` (larger is nearer). Float32, 102 MB — the weights are shared. | |
|
|
| The host reproduces `infer_image`: OpenCV `INTER_CUBIC` on the image in 0…1, ImageNet mean and |
| standard deviation, the network, then bilinear upsampling with `align_corners=True` back to the |
| picture's own size. A picture whose aspect ratio maps to a size not in the list uses the nearest. |
|
|
| ## Fidelity |
|
|
| Against the authors' PyTorch model on the CPU, on their demo images cropped to every exported |
| ratio: prepared tensors above 100 dB PSNR (the cubic resampler is exact), network outputs |
| 111–127 dB, whole images end to end 113–130 dB. |
|
|
| ## Use |
|
|
| ```sh |
| hf download arraypress/img-depth-anything --local-dir models |
| img depth install models/img-depth-anything-v2-small-float32.aimodel |
| img depth photo.jpg # photo-depth.png, nearer is brighter |
| ``` |
|
|
| Requires macOS 27 (Core AI) on Apple silicon. Converted with coreai-torch 0.4.2 / torch 2.13. |
|
|
