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Installation

This code has only been tested on Ubuntu.

Clone this repository:

git clone https://github.com/MarilynKeller/OSSO
cd OSSO

Environment

Create a virtual environment and activate it:

python3.8 -m venv osso_venv
source osso_venv/bin/activate

Install the required packages:

pip install --upgrade pip
pip install -r requirements.txt

Download the skeleton model code

From OSSO folder, execute: git clone https://github.com/silviazuffi/gloss_skeleton.git

You should have the following folder structure:

OSSO/
├── data/
├── figures/
├── gloss_skeleton/
│   ├── gloss/
│   └── models/
└── osso/
    ├── star_model/
    └── utils/

Install MPI Mesh package

With the virtual environment sourced, run:

git clone https://github.com/MPI-IS/mesh.git
cd /path/to/mesh
make all

The compilation takes some minutes.

Download the models

Download STAR from the website https://star.is.tue.mpg.de/downloads. You will need to create an account.

Place the extracted files in the data folder. cd path/to/OSSO/data unzip star_1_1.zip

Likewise, download the Skeleton Inference Model (first link) from https://osso.is.tue.mpg.de/download.php, and place it in the data folder. unzip skeleton.zip

Your OSSO/data folder should look like this:

data/
├── demo/
├── loss/
├── skeleton/
│   ├── betas_regressor_female.pkl
│   ├── betas_regressor_male.pkl
│   ├── ldm_indices.pkl
│   ├── ldm_regressor_female.pkl
│   ├── ldm_regressor_male.pkl
│   ├── lying_pose_female.pkl
│   ├── lying_pose_male.pkl
│   ├── skeleton_model.pkl
│   ├── skeleton_pca_female.pkl
│   └── skeleton_pca_male.pkl
└── star_1_1/
    ├── female/
    │   └── model.npz
    ├── LICENSE.txt
    ├── male/
    │   └── model.npz
    └── neutral/
        └── model.npz

Install OSSO

cd path/to/OSSO
pip install .