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musicalgestures: A Python toolbox for visualising and analysing music-related video recordings

Authors: Jensenius, Alexander Refsum; Laczkó, Bálint; Poutaraud, Joachim; Widmer, Marcus; Furmyr, Frida; Guo, Jinyue; Clim, Alena; +2 Authors

musicalgestures: A Python toolbox for visualising and analysing music-related video recordings

Abstract

This is the Python version of the Musical Gestures Toolbox, containing a complete solution for loading different types of video recordings (including 360-degree videos). It was originally built to analyse music-related videos, but it works well for many other applications. It includes a large collection of tools for visualising human body motion, including average images, motion images, motion history images, motiongrams, and videograms. It also includes spatial–temporal tools for creating motion history videos. Finally, it wraps different state-of-the-art pose estimation methods (CV2 and MediaPipe) and derives various quantity-of-motion measures.

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