phyper 1.1.4

Package for managing (hyper)spectral datasets

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

0. (Optional) create virtual environment
   conda create -n my_env python=3.8
conda activate my_env

1.a Directly install from PyPi directory where pyper is saved as 'phyper' (WITH h!) pip install phyper

OR

1.b 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.

0. (Optional) create virtual environment
   conda create -n my_env python=3.8
conda activate my_env

1. Clone the repository to your local machine
   git clone https://gitlab.kuleuven.be/u0123403/pyper.git
cd pyper

2. 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.