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LloydAI/
DepthAnything_v2-Large-CoreML

depth-anything/Depth-Anything-V2-Large

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cc-by-nc-4.0

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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

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}
}

LloydAI/DepthAnything_v2-Large-CoreML

Depth Anything V2 Large (mlpackage)

Citation of original work

LloydAI/
DepthAnything_v2-Large-CoreML