Discover SopiMlab/PESI_InSpace Open Source project

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Created over 10 years ago
Updated over 10 years ago

SopiMlab

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The in-space component implements a Kinect motion tracking module that constantly computes the spatial position of the three performers and extracts information about their relations, such as relative distances, velocity, acceleration and alignment

DeepLearningWithAudio

Python

GANSpaceSynth

The hybrid architecture is based on the idea that we could simply apply a GAN method (GANSpace) to another GAN model (GANSynth).

Python

DeepLearningWithAudio18

This repository contains the deep learning with audio examples and the course materials for DOM-E5129 - Intelligent Computational Media. Documentation on different Deep Learning Audio systems as well as instructions on using some of them. Tools for loading, playing and plotting audio. Some working simple classifiers Non-working sample-level/raw audio GANs Python scripts for sorting different popular datasets

Jupyter Notebook

PESI_OnBody

PESI mobile phone instrument, running custom software built with Objective-C and Libpd in iPhones

SoundingBrush

GLSL

kinectTrackerRealTime

kinect trackerRealTime module is built using the OpenNI library with Processing and openFrameworks. It is fully scalable to any number of Kinect v1 and to track any number of users.

kinectDataServer

Streams the point-cloud information from the Kinect devices

Java

kinectPlySaver

Determines the point-cloud information of each Kinect for calibration

Java

CCREAIM

CCREAIM is a hybrid transformer architecture, utilising attention weights to provide the musician with potentially interesting information about the motivation behind the AI's decisions.

Jupyter Notebook

SopiMlab/PESI_InSpace

SopiMlab

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