LightShow: Abstract Representations of Music Lighting In Python
Name
Wilson-benton-meng-eecs-2022-thesis.pdf
Description
Thesis PDF
Size
13.24 MB
Format
Adobe PDF
Checksum (MD5)
1d71ca68efea87dac1c855a7db524f8b
Author(s)
Wilson, Benton B.
Advisor(s)
Paradiso, Joseph A.
Date Issued
September 2022
Publisher
Massachusetts Institute of Technology
Abstract
This thesis explores music lighting and ways in which music lighting can be generated automatically. We attempted to use videos of prior concerts as training data for a machine learning model, but ultimately this proved unsuccessful. Instead, a useful abstraction for representing, designing, and implementing light shows based on audio was designed, implemented in Python, and used to generate lighting in a few contexts. The abstraction designed in this thesis ultimately focuses on allowing developers to easily expand on the package and reuse code, with the restriction that audio data must be known ahead of time. While the current abstraction does not support live audio streams, the future work section outlines how this could be implemented.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
In Copyright - Educational Use Permitted
Copyright MIT
Persistent DSpace Link
