Metadata-Version: 2.1
Name: Orange3-MNE
Version: 1.0.2
Summary: Electrophysiological data processing widgets for Orange 3 based on the MNE for Python library.
Home-page: https://gitlab.com/fifal/orange-mne-library
Author: Filip Jani
Author-email: jsem@filek.cz
License: UNKNOWN
Keywords: orange3 add-on mne eeg electrophysiology
Platform: UNKNOWN
Description-Content-Type: text/markdown
Requires-Dist: mne (==0.20.3)
Requires-Dist: PyQt5
Requires-Dist: keras (==2.4.3)
Requires-Dist: keras-metrics (==1.1.0)
Requires-Dist: tensorflow (==2.2.0)

MNE Widgets for Orange 3 is a python package, that provides methods from MNE for Python for Orange 3 in a form of widgets, 
to allow for electrophysiological data processing.

### Installation
1. The installation process is quite straightforward, first we need to install the Orange 3 tool:
    > *Note: If you have Orange 3 already installed, you can skip this step and continue to step 2.*
    ```bash
    virtualenv orange          # Create a virtual environment
    ./orange/Scripts/activate  # Activate the environment (source ./orange/Scripts/activate for linux)
    pip install Orange3 PyQt5  # Install Orange 3 and PyQt library
    ```
2. Then run Orange: `python -m Orange.canvas`
3. In Orange navigate to Options -> Add-ons
4. Click on `Add more...` and enter the package name: `Orange3-MNE`
5. Confirm the settings and Orange will install the library
6. Restart Orange and the electrophysiological data processing library will be available

