Package for managing (hyper)spectral datasets
Project description
A Python toolbox for hYPERspectral data. This toolbox includes methods for reading hyperspectral images and provides an interface for basic machine learning algorithms like decomposition and clustering.
Installation
NOTE Before being able to clone the code from this repository (either editable or non-editable), you will have to set a GitLab password (Preferences>Password) to authenticate yourself and your device.
Non-editable installation
-
(Optional) create virtual environment
conda create -n my_env python=3.8
conda activate my_env -
Directly intall from gitlab repostiory
pip install git+https://gitlab.kuleuven.be/u0123403/pyper.git
Editable installation
Use this installation if you want to make changes to the code yourself.
-
(Optional) create virtual environment
conda create -n my_env python=3.8
conda activate my_env -
Clone the repository to your local machine
git clone https://gitlab.kuleuven.be/u0123403/pyper.git
cd pyper -
Use pip to install the package in editable format
pip install -e .
Acknowledgements
Written by Remi Van Belleghem. Based on Matlab toolbox from Niels Wouters.
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