Giter Club home page Giter Club logo

mgt-python's Introduction

MGT-python

The Musical Gestures Toolbox for Python is a collection of tools for video visualization and video analysis.

MGT python

About

Videos can be used to develop new visualisations to be used for analysis. The aim of creating such alternate displays from video recordings is to uncover features, structures and similarities within the material itself, and in relation to, for example, score material. Three useful visualisation techniques here are motion images, motion history images and motiongrams.

MGT can generate both dynamic and static visualizations, as well as some quantitative data:

  • dynamic visualisations (video files)
    • motion videos
    • motion history videos
  • static visualisations (images)
    • motion average images
    • motiongrams
    • videograms
  • motion data (csv files)
    • quantity of motion
    • centroid of motion
    • area of motion

Description

Watch 10-minute intro video to the toolbox:

Video

Installation

Windows, OSX and Linux

The standard installation via pip: paste and execute the following code in the Terminal (OSX, Linux) or the PowerShell (Windows):

pip install musicalgestures

MGT is developed in Python 3 and relies on FFmpeg and OpenCV. See the wiki for more details on the installation process.

Usage

Open In Colab

The Jupyter notebook MotionGesturesToolbox.ipynb shows examples of the usage of the toolbox.

History

This toolbox builds on the Musical Gestures Toolbox for Matlab, which again builds on the Musical Gestures Toolbox for Max.

The software is currently maintained by the fourMs lab at RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion at the University of Oslo.

Reference

If you use this toolbox in your research, please cite this article:

Credits

Developers: Balint Laczko, Joachim Poutaraud, Frida Furmyr, Marcus Widmer, Alexander Refsum Jensenius

License

This toolbox is released under the GNU General Public License 3.0 license.

mgt-python's People

Contributors

alenaclim avatar alexarje avatar balintlaczko avatar fridafu avatar joachimpoutaraud avatar marcuswidmer avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.