Installation

System requirements

PyEPRI can be installed on all plateforms (Linux, MacOs or Windows). However, GPU support is currently only available for systems equipped with an NVIDIA graphics card (which excludes MAC systems).

The installation guidelines assume that you have the following installed on your system:

  • ico-req python3 (the Python 3 programming language)

  • ico-req python3-pip (to install Python packages using the pip command)

  • ico-req python3-venv (for the creation of virtual environment)

  • ico-opt python3-tk (recommended, to avoid display issues on some Linux systems)

  • ico-opt an integrated development environment (IDE) suited to Python (for instance Visual Studio Code)

Under a Debian GNU/Linux distribution, one can easily get the required and recommended libraries by typing into a terminal the following apt-get command (requires superuser (root) privilege).

sudo apt update && sudo apt-get install python3 python3-pip python3-venv python3-tk

If you encounter installation difficulties, feel free to reach us by opening a bug issue.

Install latest version from Github

Open a terminal and execute the following steps in order to checkout the current code release, create a virtual environment, and install pyepri from the github repository.

Installation instructions in command lines

##################
# Clone the code #
##################
git clone https://github.com/remy-abergel/pyepri.git
cd pyepri

###################################################
# Create and activate a fresh virtual environment #
###################################################
python3 -m venv ~/.venv/pyepri
source ~/.venv/pyepri/bin/activate

##########################################################
# Install the `pyepri` package from the checked out code #
# (do not forget the . at the end of the command line)   #
##########################################################
pip install -e .

###########################################################
# Optional: enable {torch-cpu, torch-cuda, cupy} backends #
###########################################################

# enable `torch-cpu` backend
pip install -e ".[torch-cpu]"

# enable `torch-cuda` backend (requires a NVIDIA graphics card with CUDA installed)
pip install -e ".[torch-cuda]"

# enable `cupy` backend (requires a NVIDIA graphics card with CUDA installed)
# (please uncomment the appropriate line depending on your CUDA installation)
# pip install -e ".[cupy-cuda12x]" # For CUDA 12.x
# pip install -e ".[cupy-cuda11x]" # For CUDA 11.x

################################################################
# If you want to compile the documentation by yourself, you    #
# must install the [doc] optional dependencies of the package, #
# compilation instructions are provided next                   #
################################################################
pip install -e ".[doc]" # install some optional dependencies
make -C docs html # build the documentation in html format
firefox docs/_build/html/index.html # open the built documentation (you can replace firefox by any other browser)

Note: the instructions above assume that you have git and make installed on your system.

Because this installation was done in editable mode (thanks to the -e option of pip), any further update of the repository (e.g., using the syncing commang git pull) will also update the current installation of the package.

Troubleshooting

  • Mac users are strongly recommended to use bash shell instead of zsh to avoid slow copy-paste issues (type chsh -s /bin/bash in a terminal).

  • Display issues related to matplotlib interactive mode were reported on Linux systems and were solved by installing python3-tk (type sudo apt-get install python3-tk in a terminal).

  • If the installation of the package or one of its optional dependency fails, you may have more chance with miniconda (or conda).

  • If you still encounter difficulties, feel free to open a bug issue.