Installation
To install BabyBench, head over to the Github repository and follow the instructions below. We provide two options for installation: a local installation and a Singularity container. Both options are equivalent and will install all the necessary dependencies to participate in the competition.
Table of Contents
Option 1: Local installation
The first option is to install BabyBench locally on your machine. This is the recommended option if you are new to Python or if you want to use BabyBench for your own research.
Pre-requisites: Python, Git, and Conda. All software has been tested on Ubuntu 18.04 and 24.04, MS Windows 10, and MacOS 11.
Create a conda environment
conda create --name babybench python=3.12
conda activate babybench
Clone the BabyBench2025 repository
git clone https://github.com/babybench/BabyBench2025_Starter_Kit.git
cd BabyBench2025_Starter_Kit
Install requirements
pip install -r requirements.txt
Install MIMo
pip install -e MIMo
All done! You are ready to start using BabyBench.
Launch the installation test
python test_installation.py
This will run a test to check that the everything is correctly installed. If the installation is successful, you should find a new folder called test_installation in the results directory with a rendered video of the test.
Option 2: Singularity container
Alternatively, you can use a Singularity container to install BabyBench. This allows you to use BabyBench without installing the software on your machine. It is also the recommended option if you are using a HPC cluster.
Pre-requisites: Singularity. All software has been tested on Ubuntu 24.04.
Create the singularity container
singularity build -F babybench.sif babybench.def
This will create a singularity container called babybench.sif in the current directory.
Launch the installation test
singularity run -c -H /home --bind "$PWD/:/home" babybench.sif
This will run a test to check that the everything is correctly installed. If the installation is successful, you should find a new folder called test_installation in the results directory with a rendered video of the test.
Troubleshooting
If you encounter any issues during the installation, please refer to the troubleshooting page