phyper


Namephyper JSON
Version 1.1.7 PyPI version JSON
download
home_pagehttps://gitlab.kuleuven.be/u0123403/pyper
SummaryPackage for managing (hyper)spectral datasets
upload_time2023-05-11 11:49:17
maintainerMeBios - KULeuven
docs_urlNone
authorRemi Van Belleghem
requires_python>=3.6,<4.0
license
keywords hyperspectral chemometrics
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            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.



            

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