Depth Anything V2 Large (mlpackage)

In this repo you can find:

  • The notebook which was used to convert 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

Xcode Preview

Citation of original work

If you find this project useful, please consider citing:

@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}
}
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