computational-psychology / multyscale

Python implementation(s) of common models of brightness/lightness perception that use multiscale spatial filtering

Multyscale spatial filtering models of brightness/lightness perception

Installing

Multyscale is not yet available on package registries (e.g., PyPI). Instead:

1. clone from GitHub (TUB):

   git clone [email protected]:computational-psychology/multyscale.git
   

2. Multyscale can then be installed using pip. From top-level directory (which contains setup.py) run:

   pip install .
   

   to install to your local python library.

• For developers, use:

  pip install -e .
  

  for an editable install; package now does not need to be reinstalled to make changes usable.

Using

Documentation available on multyscale.readthedocs.io

import multyscale

• multyscale.filters contains functions to generate filters
• multyscale.filterbank contains classes defining specific sets (banks) of filters
• multsycale.models implements some common models from the literature