Metadata-Version: 2.1
Name: MARCIA
Version: 0.1.2
Summary: Manual hyperspectral data classifier
Home-page: https://github.com/hameye/marcia
Author: Hadrien Meyer
Author-email: meyerhadrien96@gmail.com
License: GPL v3
Project-URL: Example, https://github.com/hameye/MARCIA/blob/master/examples/Tutorial.ipynb
Project-URL: Source, https://github.com/hameye/MARCIA
Project-URL: Report a bug, https://github.com/hameye/MARCIA/issues
Description: 
        # MARCIA - MAsking spectRosCopIc dAtacube
        [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3929745.svg)](https://doi.org/10.5281/zenodo.3929745)
        [![PyPI](https://img.shields.io/badge/MARCIA-v0.1.2-blue.svg?maxAge=2592000)](https://pypi.org/project/MARCIA/)
        
        ## Manual classifier for µXRF and EDS/SEM hypercubes
         - Classification is achieved by defining masks that are linear combination of elemental intensities in spectra.
         - Classes can then be extracted and read with hyperspy or PyMca or Esprit
        
        
        ## Install
        Just do
        ```bash
        pip install marcia
        ```
        
        ## Use in python
        ```python
        from marcia.mask import Mask
        ```
        
        ## Gallery
        ![Example](https://github.com/hameye/MARCIA/blob/master/gallery.png)
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.6
Classifier: Typing :: Typed
Requires-Python: >=3.6
Description-Content-Type: text/markdown
