Installation#
Dependencies#
mne
(>=1.0)numpy
(>=1.16)scipy
(>=1.2.0)torch
(for running pytorch neural networks)
We require that you use Python 3.7 or higher.
You may choose to install mne-icalabel
via conda,
or Pip.
mne-icalabel works best with the latest stable release of MNE-Python. To ensure MNE-Python is up-to-date, see their installation instructions.
Installation via Conda#
To install mne-icalabel using conda in a virtual environment, simply run the following at the root of the repository:
# with python>=3.7 at least
conda create -n mne
conda activate mne
conda install -c conda-forge mne-icalabel
Installation via Pip#
To install mne-icalabel including all dependencies required to use all features, simply run the following at the root of the repository:
# with python>=3.7 at least
python -m venv .venv
pip install mne-icalabel
If you want to install a snapshot of the current development version, run:
pip install https://api.github.com/repos/mne-tools/mne-icalabel/zipball/main
To check if everything worked fine, the following command should not give any error messages:
python -c 'import mne_icalabel'
Installation via MNE-Installer#
Since MNE v1.0, there is now a standalone MNE installer, which can also optionally install MNE-ICALabel! See MNE page for more information.