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Support This Project Diglo is a Music Information Retrieval System based on Computer Vision and Audio Spectrum Analysis, using algorithmic operations to find emergent patterns in musical performance. Also it functions as a low-cost Motion Capture Analysis system. DiGLO is entirely developed on Max5 language with  Java add-ons. On this new version, the Graphic User Interface  has been completely rebuilded, optimizing its usability for body movement research/ observation and music performance as well work presentation.

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Spectrum viewpoint for spectrum analysis.
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Interactive rulers for each point with distance, angle and velocity measures.
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Sound Spectrum visualization during tracking
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DiGLo Desktop & timeline.
On the right the audio automatic-manual pitch extractor.
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3D Movement Navigation path.
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Horizontal timeline plus trackers point skeletum.
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Total tracker trace on the X-Y axis.
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Timeline Horizontal visualization with z-time scrolling.
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Annotation table with numerical values of space, rulers, pitch, sound dynamic with color background pointing maximum and minimum as well pitch notes. It’s can be exported to .xml


BINARIO Tener instalado o instalar Quicktime(win) en su última versión. Instalar Max5 Runtime Bajar última version de Diglo1. Abrir Max5 Runtime, y abrir Diglo2.XX.mxf Requerimientos mínimos: PC 500Hz 512MB RAM, 30MB espacio libre en el disco. Placa de Video GFORCE, NVIDIA o similar superior al modelo 5000. (las placas de mas de dos años cumplen estos requisitos).

DiGLo started as a part of research project of Facultad de Bellas Artes of  Universidad Nacional de La Plata (UNLP) and Ciencia y Técnica Universidad de Buenos Aires (UBACyT) during 2008.

This software is protected under license 2.5 atributtions of  Creative Commons Argentina