| --- |
| license: cc-by-nc-4.0 |
| language: |
| - en |
| pipeline_tag: depth-estimation |
| library_name: coreml |
| tags: |
| - depth |
| - relative depth |
| base_model: |
| - depth-anything/Depth-Anything-V2-Large |
| --- |
| |
| # Depth Anything V2 Large (mlpackage) |
|
|
| In this repo you can find: |
| * The notebook which was used to convert [depth-anything/Depth-Anything-V2-Large](https://huggingface.co/depth-anything/Depth-Anything-V2-Large) into a CoreML package. |
| * The mlpackage which can be opened in Xcode and used for Preview and development of macOS and iOS Apps |
| * Performence and compute unit mapping report for this model as meassured on an iPhone 16 Pro Max and a MacBook Pro (With Apple M3 Pro) |
|
|
| As a derivative work of Depth-Anything-V2-Large this port is also under cc-by-nc-4.0 |
|
|
|  |
|
|
|
|
| ## 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} |
| } |
| |
| |
