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README.md

@@ -1,94 +1,13 @@
-<div align="center">
-
-# HaWoR: World-Space Hand Motion Reconstruction from Egocentric Videos
-
-[Jinglei Zhang]()<sup>1</sup> &emsp; [Jiankang Deng](https://jiankangdeng.github.io/)<sup>2</sup> &emsp; [Chao Ma](https://scholar.google.com/citations?user=syoPhv8AAAAJ&hl=en)<sup>1</sup> &emsp; [Rolandos Alexandros Potamias](https://rolpotamias.github.io)<sup>2</sup> &emsp;  
-
-<sup>1</sup>Shanghai Jiao Tong University, China
-<sup>2</sup>Imperial College London, UK <br>
-
-<a href='https://hawor-project.github.io/'><img src='https://img.shields.io/badge/Project-Page-blue'></a>
-<a href='https://arxiv.org/abs/'><img src='https://img.shields.io/badge/Paper-arXiv-red'></a>
-</div>
-
-This is the official implementation of **[HaWoR](https://hawor-project.github.io/)**, a hand reconstruction model in the world coordinates:
-
-![teaser](assets/teaser.png)
-
-## Installation
- 
-### Installation
-```
-git clone --recursive https://github.com/ThunderVVV/HaWoR.git
-cd HaWoR
-```
-
-The code has been tested with PyTorch 1.13 and CUDA 11.7. It is suggested to use an anaconda environment to install the the required dependencies:
-```bash
-conda create --name hawor python=3.10
-conda activate hawor
-
-pip install torch==1.13.0+cu117 torchvision==0.14.0+cu117 --extra-index-url https://download.pytorch.org/whl/cu117
-# Install requirements
-pip install -r requirements.txt
-pip install pytorch-lightning==2.2.4 --no-deps
-pip install lightning-utilities torchmetrics==1.4.0
-```
-
-### Install masked DROID-SLAM:
-
-```
-cd thirdparty/DROID-SLAM
-python setup.py install
-```
-
-Download DROID-SLAM official weights [droid.pth](https://drive.google.com/file/d/1PpqVt1H4maBa_GbPJp4NwxRsd9jk-elh/view?usp=sharing), put it under `./weights/external/`.
-
-### Install Metric3D
-
-Download Metric3D official weights [metric_depth_vit_large_800k.pth](https://drive.google.com/file/d/1eT2gG-kwsVzNy5nJrbm4KC-9DbNKyLnr/view?usp=drive_link), put it under `thirdparty/Metric3D/weights`.
-
-### Download the model weights
-
-```bash
-wget https://huggingface.co/spaces/rolpotamias/WiLoR/resolve/main/pretrained_models/detector.pt -P ./weights/external/
-wget https://huggingface.co/ThunderVVV/HaWoR/resolve/main/hawor/checkpoints/hawor.ckpt -P ./weights/hawor/checkpoints/
-wget https://huggingface.co/ThunderVVV/HaWoR/resolve/main/hawor/checkpoints/infiller.pt -P ./weights/hawor/checkpoints/
-wget https://huggingface.co/ThunderVVV/HaWoR/resolve/main/hawor/model_config.yaml -P ./weights/hawor/
-```
-It is also required to download MANO model from [MANO website](https://mano.is.tue.mpg.de). 
-Create an account by clicking Sign Up and download the models (mano_v*_*.zip). Unzip and put the hand model to the `_DATA/data/mano/MANO_RIGHT.pkl` and `_DATA/data_left/mano_left/MANO_LEFT.pkl`. 
-
-Note that MANO model falls under the [MANO license](https://mano.is.tue.mpg.de/license.html).
-## Demo
-
-For visualizaiton in world view, run with:
-```bash
-python demo.py --video_path ./example/video_0.mp4  --vis_mode world
-```
-
-For visualizaiton in camera view, run with:
-```bash
-python demo.py --video_path ./example/video_0.mp4 --vis_mode cam
-```
-
-## Training
-The training code will be released soon. 
-
-## Acknowledgements
-Parts of the code are taken or adapted from the following repos:
-- [HaMeR](https://github.com/geopavlakos/hamer/)
-- [WiLoR](https://github.com/rolpotamias/WiLoR)
-- [SLAHMR](https://github.com/vye16/slahmr)
-- [TRAM](https://github.com/yufu-wang/tram)
-- [CMIB](https://github.com/jihoonerd/Conditional-Motion-In-Betweening)
-
-
-## License 
-HaWoR models fall under the [CC-BY-NC--ND License](./license.txt). This repository depends also on [MANO Model](https://mano.is.tue.mpg.de/license.html), which are fall under their own licenses. By using this repository, you must also comply with the terms of these external licenses.
-## Citing
-If you find HaWoR useful for your research, please consider citing our paper:
-
-```bibtex
-
-```
+---
+title: HaWoR
+emoji: 🚀
+colorFrom: indigo
+colorTo: red
+sdk: gradio
+sdk_version: 4.44.0
+python_version: 3.10
+app_file: app.py
+pinned: true
+license: cc-by-nc-2.0
+---
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference