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--- |
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license: cc-by-nc-4.0 |
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language: |
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- en |
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pipeline_tag: depth-estimation |
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tags: |
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- depth |
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- relative depth |
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--- |
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# Depth-Anything-V2_Safetensors |
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## Introduction |
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Depth Anything V2 is trained from 595K synthetic labeled images and 62M+ real unlabeled images, providing the most capable monocular depth estimation (MDE) model with the following features: |
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- more fine-grained details than Depth Anything V1 |
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- more robust than Depth Anything V1 and SD-based models (e.g., Marigold, Geowizard) |
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- more efficient (10x faster) and more lightweight than SD-based models |
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- impressive fine-tuned performance with our pre-trained models |
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- models have been converted into .safetensors |
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## Installation |
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```bash |
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git clone https://github.com/MackinationsAi/Upgraded-Depth-Anything-V2.git |
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cd Upgraded-Depth-Anything-V2 |
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one_click_install.bat |
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``` |
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## Usage |
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- Download the Depth-Anything-V2-Large model | 654.9M | [Download](https://huggingface.co/MackinationsAi/Depth-Anything-V2_Safetensors/resolve/main/depth_anything_v2_vitl.safetensors?download=true) | first and put it under the `checkpoints` directory. |
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- Download the Depth-Anything-V2-Base model | 190.4M | [Download](https://huggingface.co/MackinationsAi/Depth-Anything-V2_Safetensors/resolve/main/depth_anything_v2_vitb.safetensors?download=true) | second and put it under the `checkpoints` directory. |
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- Download the Depth-Anything-V2-Small model | 48.4M | [Download](https://huggingface.co/MackinationsAi/Depth-Anything-V2_Safetensors/resolve/main/depth_anything_v2_vits.safetensors?download=true) | third and put it under the `checkpoints` directory. |
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- Download the Depth-Anything-V2-Giant model | 1.3B | Coming soon (Still not available) | [Download Doesn't Work - Model is still a WIP](https://huggingface.co/MackinationsAi/Depth-Anything-V2_Safetensors/resolve/main/depth_anything_v2_vitg.safetensors?download=true) | fourth and put it under the `checkpoints` directory. |
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## Citation |
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If you find this project useful, please consider citing below, give these converted models & upgraded linked repo a star/follow & share it w/ others in the community! |
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```bibtex |
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@article{depth_anything_v2, |
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title={Depth Anything V2}, |
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author={Yang, Lihe and Kang, Bingyi and Huang, Zilong and Zhao, Zhen and Xu, Xiaogang and Feng, Jiashi and Zhao, Hengshuang}, |
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journal={arXiv:2406.09414}, |
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year={2024} |
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} |
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@inproceedings{depth_anything_v1, |
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title={Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data}, |
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author={Yang, Lihe and Kang, Bingyi and Huang, Zilong and Xu, Xiaogang and Feng, Jiashi and Zhao, Hengshuang}, |
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booktitle={CVPR}, |
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year={2024} |
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} |
