NoA_I

Influenced by Arnold Schönbergs dodecaphonism.

Python requirements

• pip3 install opencv-python
• pip3 install python-osc
• pip3 install numpy

Install processing

https://processing.org/

• install osc5 (external library)

Get MaxMsp

https://cycling74.com/

Download Rave and follow Instructions for training and compiling the external

https://github.com/acids-ircam/RAVE

How to use

• From Terminal or Visual Studio Code launch NoA_1.py or NoA_1_random.py or both
• Open the Sequencer_Grid.pde or Sequencer_Grid_random.pde with processing or both
• Open the MaxMsp patches (use your own RAVE models)

How it works

• This is an installation, which uses camera input.
• When it detects a face it starts the actual processing.
• It saves every 50 x 50 pixel and computes the mean and adds it to the part before.
• The highest pixel mean will play a sound.
• The highest pixel mean will be reset to 0.
• Like this every sound has a higher possibility to get played.

Why...

• This was part of an university project.