Resources
We believe in reproducible science. We strive to make the (software) tools that we develop in our research publicly available. Below you can find a list of our main projects, all available in Github. You are welcome to contribute via the same platform, by opening a pull request or raising an issue. If you find a bug, please let us know! (either via github or e-mail.).
In the Publications page you also find code and data related to specific publications (those are not listed here below).
Software

- stimupy: A pure-Python package for creating new and existing visual stimuli commonly used in the study of contrast, brightness, lightness, and other aspects of visual perception.
- multyscale: Multyscale spatial filtering models of brightness/lightness perception in python.
- domijan2015: Re-implementation of Domijan's (2015) brightness perception model.
- mlds: Python wrapper for the MLDS (Maximum Likelihood Difference Scaling) R package
- HRL: Low-level library for running high resolution luminance experiments in Python.
Teaching materials and tutorials
- Signal processing and Fourier analysis for Vision Scientists, presented at ECVP 2022
- Notebook accompanying poster by Pohlmann, Schmittwilken & Maertens (2021).. A strategy for presenting computational models. V-VSS 2021.