Note: If you're looking to use a model scripter for mi-gen~ or Faust, we recommend using the a newer one directly integrated into mi-gen~ using NodeJS: head over to the mi-gen repo for more information: https://github.com/mi-creative/mi-gen.
PyQt application for creating mass interaction models and compiling them into FAUST dsp code or ~gen objects (for Max/MSP)
You will need a recent version of Python 3, with the PyQt5 and numpy packages (the easiest way to install these is probably through pip).
Clone or download the github repository. If you have all the necessary Python packages, you should just be able to run MIMS_main.py.
If you are considering development, any Python IDE (such as Pycharm) should do the trick.
Creation of one-file executable apps for Windows/Mac/Linux is ongoing (for windows, run pyinstaller MIMS.spec --clean from the base of the repo)
MIMS allows to describe one-dimensional mass-interaction models, and generade DSP code for the FAUST and Max/MSP environments. Model files are made of physical elements, parameters, and input/outputs.
For more on mass-interaction models generated with MIMS in Max/MSP, see the mi_gen~ github repo.
For more on mass-interaction models generated with MIMS in Faust, see the mi_faust github repo.
Below is a basic model description in MIMS
# Define global parameter attributes
@m_K param 0.1
@m_Z param 0.001
@nlK param 0.05
@nlScale param 0.01
# Create material points
@m_s0 ground 0.
@m_m0 mass 1. 0. 0.
@m_m1 mass 1. 0. 0.
@m_m2 mass 1. 0. 0.
# Create and connect interaction modules
@m_r0 spring @m_s0 @m_m0 0.05 0.01
@m_r1 spring @m_m0 @m_m1 m_K m_Z
@m_r2 spring @m_m1 @m_m2 m_K m_Z
@m_r2 spring @m_m2 @m_m0 m_K m_Z
# Inputs and outputs
@in1 posInput 0.
@out1 posOutput @m_m2
# Add plucking interaction
@pick nlPluck @in1 @m_m1 nlK nlScale | Module | description | Arguments |
|---|---|---|
| param | labelled parameter | initial value |
| audioParam | audio-rate labelled parameter | initial value |
| mass | punctual mass | inertia(M), initialPos, delayedPos |
| massG | punctual mass (with gravity) | inertia(M), gravity(G), initialPos, delayedPos |
| osc | harmonic oscillator | inertia(M), stiffness(K), damping(Z), initialPos, delayedPos |
| spring | linear spring | stiffness(K), optional:damping(Z) |
| springDamper | linear dampened spring | stiffness(K), damping(Z) |
| damper | linear damper | damping(Z) |
| nlspring (or nlSpring2) | non-linear dampened spring (parabolic term) | stiffness(K), NL stiffness(Q), damping(Z) |
| nlspring3 | non-linear dampened spring (cubic term) | stiffness(K), NL stiffness(Q), damping(Z) |
| nlPluck | piecewise linear pluck interaction | stiffness-coef(K), scale |
| nlBow | piecewise linear bowing interaction | damping-coef(Z), scale |
| posInput | position input | initialPos |
| frcInput | force input | mass-element to apply force to |
| posOutput | position output | mass-element to observe |
| frcOutput | force output | mass-element to observe |
Library built with PyCharm and PyQt5.
We'd be happy to include more people to the development repository, so drop us a line if you would like to contribute to the development of the library.
This project was developped by James Leonard and Jérôme Villeneuve.
For more info, see: www.mi-creative.eu
This project is licensed under the GNU GENERAL PUBLIC LICENSE - see the LICENSE file for details
This work implements mass-interaction physical modelling, a concept originally developped at ACROE - and now widely used in sound synthesis, haptic interaction and visual creation.