Introduction

This is a personal project whereby I attempt to dynamically visualize music with as little hand-crafting as possible. The idea is that I'm trying to build an entity I call a Musical Meta AI Construct (Metac, abbreviated). An entity of my own design.

The DJ class handles all audio related computations and runs concurrently in a separate process, so you can modify the frame rate without concern that the music will lag with respect to the visualization.

The bolts.py module handles all geometric inspired lightning bolts. The polytopes.py file handles all polytope generation. utils.py contains a number of generic classes that are useful for all metacs (though requires refactoring for the DJ class).

Setup

Install python 3.10 and use which ever package manager you prefer. Refer to the requirements.txt for dependencies. Make sure to have the latest graphics drivers and ensure that OpenGL is accessible to you.

Execution

I have yet to create an API to Spotify, Soundcloud or YouTube, so you will need to download your song of choice as a .wav file and store it in the music folder. You will also need to create a music folder in the root directory.

draw_triangle.py and draw_rotating_triangle.py are my first attempts at understanding the shader language, so they aren't particularly useful except for a couple code snippets. They are kept for reference.

The main files to look out for are the lightwall.py and hex_bolt_metac.py files. To execute them, modify the filename variable with your song of choice and run the following in console:

python lightwall.py

or

python hex_bolt_metac.py

TODOS

Hex Bolt Metac

Add hex grid and configure alphas to correspond to dampened bass.