This repositery contains the code for the SHADE approach (based on empirical Benjamini & Hochberg procedure) and the COMET approach for detecting galactic halo on MUSE hyperspectral data
The main application file is shade_main.py.
A Shade object is composed of a detection object, a preprocessing object and a postprocessing.
Default parameters are stored in a class Params in parameters.py with specific parameters for preprocessing, detection and postprocessing.
To install: python setup.py install
To have a step by step tutorial see the notebook Example SHade.ipynb
To test the notebook in a binder environment:
