docs/installation-ubuntu.md

Getting started

Start by cloning the repo:

git clone --depth 1 git@github.com:YuliangXiu/ECON.git
cd ECON

Environment

• Ubuntu 20 / 18, (Windows as well, see issue#7)
• CUDA=11.6, GPU Memory > 12GB
• Python = 3.8
• PyTorch >= 1.13.0 (official Get Started)
• Cupy >= 11.3.0 (offcial Installation)
• PyTorch3D = 0.7.1 (official INSTALL.md, recommend install-from-local-clone)

sudo apt-get install libeigen3-dev ffmpeg

# install required packages
cd ECON
conda env create -f environment.yaml
conda activate econ
pip install -r requirements.txt

# the installation(incl. compilation) of PyTorch3D will take ~20min
pip install git+https://github.com/facebookresearch/pytorch3d.git@v0.7.1

# install libmesh & libvoxelize
cd lib/common/libmesh
python setup.py build_ext --inplace
cd ../libvoxelize
python setup.py build_ext --inplace

Register at ICON's website

Required:

• SMPL: SMPL Model (Male, Female)
• SMPL-X: SMPL-X Model, used for training
• SMPLIFY: SMPL Model (Neutral)
• PIXIE: PIXIE SMPL-X estimator

:warning: Click Register now on all dependencies, then you can download them all with ONE account.

Downloading required models and extra data

cd ECON
bash fetch_data.sh # requires username and password

Citation

:+1: Please consider citing these awesome HPS approaches: PyMAF-X, PIXIE

@article{pymafx2022,
  title={PyMAF-X: Towards Well-aligned Full-body Model Regression from Monocular Images},
  author={Zhang, Hongwen and Tian, Yating and Zhang, Yuxiang and Li, Mengcheng and An, Liang and Sun, Zhenan and Liu, Yebin},
  journal={arXiv preprint arXiv:2207.06400},
  year={2022}
}


@inproceedings{PIXIE:2021,
  title={Collaborative Regression of Expressive Bodies using Moderation},
  author={Yao Feng and Vasileios Choutas and Timo Bolkart and Dimitrios Tzionas and Michael J. Black},
  booktitle={International Conference on 3D Vision (3DV)},
  year={2021}
}