Update README.md

README.md

@@ -1,3 +1,54 @@
----
-license: cc-by-nc-4.0
----
+---
+license: cc-by-nc-4.0
+
+language:
+- en
+pipeline_tag: depth-estimation
+tags:
+- depth
+- relative depth
+---
+
+# Depth-Anything-V2-Large
+
+## Introduction
+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:
+- more fine-grained details than Depth Anything V1
+- more robust than Depth Anything V1 and SD-based models (e.g., Marigold, Geowizard)
+- more efficient (10x faster) and more lightweight than SD-based models
+- impressive fine-tuned performance with our pre-trained models
+- models have been converted into .safetensors
+
+## Installation
+
+```bash
+git clone https://github.com/MackinationsAi/Upgraded-Depth-Anything-V2.git
+cd Upgraded-Depth-Anything-V2
+install.bat
+```
+
+## Usage
+
+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.
+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.
+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.
+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.
+
+## Citation
+
+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!
+
+```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}
+}