| --- |
| license: apache-2.0 |
| language: |
| - en |
| pipeline_tag: depth-estimation |
| library_name: coreml |
| tags: |
| - depth |
| - relative depth |
| base_model: |
| - depth-anything/Depth-Anything-V2-Small |
| --- |
| |
| # Depth Anything V2 Small (mlpackage) |
|
|
| In this repo you can find: |
| * The notebook which was used to convert [depth-anything/Depth-Anything-V2-Small](https://huggingface.co/depth-anything/Depth-Anything-V2-Small) into a CoreML package. |
| * Both mlpackage files which can be opened in Xcode and used for Preview (of both images and videos) and development of macOS and iOS Apps |
| * Performence and compute unit mapping report for these models as meassured on an iPhone 16 Pro Max |
| * One model uses internal resolution of 518x518 ("Box") and the other 518x392 ("Landscape"). |
| * The "Landscape" is much faster than "Box" but will also give more "juggy" edges, due to the patch I applied to avoid bicubing upsampling (.diff file is also present in this repo) |
|
|
| As a derivative work of Depth-Anything-V2-Small this port is also under apache-2.0 |
|
|
|  |
|
|
|
|
| ## Download |
|
|
| Install `huggingface-cli` |
|
|
| ```bash |
| brew install huggingface-cli |
| ``` |
|
|
| To download one of the `.mlpackage` folders to the `models` directory: |
|
|
| ```bash |
| huggingface-cli download \ |
| --local-dir models --local-dir-use-symlinks False \ |
| LloydAI/DepthAnything_v2-Small-CoreML \ |
| --include "DepthAnything_v2_Small_518x392_Landscape.mlpackage/*" |
| ``` |
|
|
| ## Citation of original work |
|
|
| If you find this project useful, please consider citing: |
|
|
| ```bibtex |
| @article{depth_anything_v2, |
| title={Depth Anything V2}, |
| author={Yang, Lihe and Kang, Bingyi and Huang, Zilong and Zhao, Zhen and Xu, Xiaogang and Feng, Jiashi and Zhao, Hengshuang}, |
| journal={arXiv:2406.09414}, |
| year={2024} |
| } |
| |
| @inproceedings{depth_anything_v1, |
| title={Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data}, |
| author={Yang, Lihe and Kang, Bingyi and Huang, Zilong and Xu, Xiaogang and Feng, Jiashi and Zhao, Hengshuang}, |
| booktitle={CVPR}, |
| year={2024} |
| } |
| |
| |
