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

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Multyscale spatial filtering models of brightness/lightness perception

Documentation Status

Installing

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

  1. clone from GitHub (TUB):

    git clone git@github.com: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

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

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