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Install

git clone https://github.com/freshman0213/image2mano_params.git
cd images2mano_params
git submodule update --init --recursive

Setup python environment

  • create conda environment with dependencies: conda env create -f environment.yml
  • activate environment: conda activate image2mano_params
  • install manopth: 
    cd modified_manopth
pip install .
  • install mano_pybullet: 
    cd mano_pybullet
pip install -e .

Download files

Download model files

  • Download model files from here wget http://www.di.ens.fr/willow/research/obman/release_models.zip
  • unzip unzip release_models.zip

Download the MANO model files

  • Go to MANO website
  • Create an account by clicking Sign Up and provide your information
  • Download Models and Code (the downloaded file should have the format mano_v*_*.zip). Note that all code and data from this download falls under the MANO license.
  • unzip and copy the content of the models folder into the misc/mano folder

Download the DexYCB dataset

  • Download the DexYCB dataset here
  • Place the file under misc/
  • Extract the .zip file

Download hand images

  • Download the example hand images here
  • Place the file under misc/
  • Extract the .zip file
image2mano_params/
  release_models/
    fhb/
    obman/
    hands_only/
  misc/
    mano/
      MANO_LEFT.pkl
      MANO_RIGHT.pkl
    dex-ycb/
    hand_images/

Launch

python get_th_full_pose.py --image_path image_path --hand_side hand_side (--flip) (--th_full_pose_root th_full_pose_root)
python get_pose_m.py --th_full_pose_path th_full_pose_path --hand_side hand_side (--pose_m_path pose_m_path)

Acknowledgements

The code is adopted from obman_train with only a few modifications.