Overview¶

Contents:

  • Colorimetric observer models
    • pysilsub.observers.ColorimetricObserver
    • Special cases
  • Stimulation devices
    • pysilsub.devices.StimulationDevice
    • Visualising calibration data
    • Dealing with non-linearity
    • Predicting spectral output
    • Settings vs. weights
    • Finding a target spectrum
    • Making a configuration file
    • Package data
  • Silent substitution problems
    • pysilsub.problems.SilentSubstitutionProblem
    • Defining a problem
    • Finding a solution
    • Visualising a solution

Tables and indices


  • Index

  • Module Index

  • Search Page

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PySilSub

A Python toolbox for performing the method of silent substitution.

Navigation

Contents:

  • Background
  • Installation
  • Overview
    • Colorimetric observer models
    • Stimulation devices
    • Silent substitution problems
  • Examples
  • API Documentation
  • Project notes
  • Contributors
  • Funding
  • Citation

  • PyPi
  • Paper

Related Topics

  • Documentation overview
    • Previous: Installation
    • Next: Colorimetric observer models

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