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.