Open Source MATLAB Multimedia Software for Linux

Octave Forge is a central location for collaborative development of packages for GNU Octave. The Octave Forge packages expand Octave's core functionality by providing field specific features via Octave's package system. See https://octave.sourceforge.io/packages.php for a list of all available packages. GNU Octave is a high-level interpreted language, primarily intended for numerical computations. It provides capabilities for the numerical solution of linear and nonlinear problems, and for performing other numerical experiments. It also provides extensive graphics capabilities for data visualization and manipulation. Octave is normally used through its interactive command line interface, but it can also be used to write non-interactive programs. The Octave language is quite similar to Matlab so that most programs are easily portable. Refer to https://www.octave.org for more information.

OS X FOSS portable applications are packaged so you can carry around on any portable device, USB thumb drive, iPod, portable hard drive, memory card, other portable device (or also on your internal hard disk), taking your preferences with you.

OpenFace is an advanced facial behavior analysis toolkit intended for computer vision and machine learning researchers, those in the affective computing community, and those who are simply interested in creating interactive applications based on facial behavior analysis. The OpenFace toolkit is capable of performing several complex facial analysis tasks, including facial landmark detection, eye-gaze estimation, head pose estimation and facial action unit recognition. OpenFace is able to deliver state-of-the-art results in all of these mentioned tasks. OpenFace is available for Windows, Ubuntu and macOS installations. It is capable of real-time performance and does not need to run on any specialist hardware, a simple webcam will suffice.

Ctrax is a machine vision program for estimating the positions and orientations of many walking fruit flies, maintaining their individual identities over long periods of time with minimal supervision, and on average for 1.5 fly-hours automatically.

This project is the MATLAB development of a virtual sound level meter. The program will read in a calibrated .wav file and allow the user to analyze it as one would analyze a sound field with a sound level meter. The software implements Fast, Slow, Impulse and LEQ; A, C and Flat Weighting; Ln and Noise Dose analysis; Octave and 1/3 Octave band analysis; high resolution FFT analysis and spectrograms. Band analysis can be made using fast FFT methods or slower, but ANSI standard methods. Source code requires MATLAB + Signal Processing Toolbox. Developed under MATLAB R2010a (but might work with some earlier versions) Executable version does not require MATLAB and runs under Windows XP, Vista, and Windows 7.

The purpose of this program is to teach a computer to classify plants via their leaves. You just need to input the image of a leaf(acquired from scanner or camera), then the computer can tell you what kind of plant it is.

This project provides the SOFA Toolbox, a toolbox for the Spatially Oriented Format for Acoustics (SOFA). The SOFA Toolbox is the successor of the SOFA API for Matlab/Octave. More information on the SOFA Toolbox can be found at https://github.com/sofacoustics/SOFAtoolbox. SOFA is a file format intended for reading, saving, and describing spatially oriented data of acoustic systems. Examples of data are head-related transfer functions (HRTFs), binaural room impulse responses (BRIRs), spatial room impulse responses (SRIR), multichannel measurements such as done with microphone arrays, and directionality data of loudspeakers. More information on SOFA can be found at https://sofaconventions.org. Here we store the release packages only. The source code can be found at https://github.com/sofacoustics/SOFAtoolbox.

Source code from the Research Institute for Signals, Systems and Computational Intelligence http://fich.unl.edu.ar/sinc

PsySoundPro - audio file analysis for objective psychoacoustics measures. Includes measures like Virtual Pitch, Loudness, Etc. etc.

Overhead Imagery Research Data Set (OIRDS) - an annotated data library & tools to aid in the development of computer vision algorithms

This is a MATLAB model of an end-to-end chain compliant to the DVB-T2 standard (ETSI EN 302 755 available from www.etsi.org). It was originally developed within the DVB consortium (www.dvb.org) by AICIA, BBC, Pace, Panasonic and SIDSA.

MPT is a toolbox that supplies cross-platform libraries for real-time perception primitives, including face detection, eye detection, blink detection, and color tracking.

The MatrixUser project is moving to GitHub, the latest version can be obtained from https://leoliuf.github.io/MatrixUser/ Most of the medical images (e.g. CT, MRI, PET, etc.) comprises multiple frames which represent slices, phases, timing etc. from the same imaging object. Those images can be saved as multidimensional matrices in Matlab thanks to Matlab's powerful support of multidimensional data representation. However, within Matlab, most of image manipulation functions are limited or tailored for processing two-dimensional matrix. The MatrixUser is a software package which features functions designed and optimized specifically for manipulating multidimensional real or complex data matrix. MatrixUser provides a nice graphical environment for easily performing image analysis tasks including multidimensional image display, matrix (image stack) processing and rendering etc. MatrixUser is a great lightweight tool for users who are working in image processing field under Matlab.

Create GTK+ interfaces using IOStream style code. Its simple and quick! Also providing simple data plotting (similar to Matlab/Octave), ORB (Object Request Broker), and Neural Network computations. You can create GTK+ GUIs in a few lines of code. Labels<<"Thanks for reading"; (HBox<<Labels).show(); or even one line : (HBox() << (Labels()<<"Thanks for reading")).show(); Inline code destructs the classes, but leaves the widgets/callbacks operating. This is great for embedded memory saving code. You can also plot like so : Plot figure; figure.plot(x, y, x.size()); Plotting utilises GtkDataBox.sf.net ORB utilises www.zeroc.com Feed forward neural networks with different activation functions. Audio playback/recording and digital signal processing (DSP) - utilising Jack www.jackaudio.org

This project provide hidden Markov model speech recognition system by using Matlab/Simulink/Stateflow.

OpenDAFF is a free, open-source software package for directional audio data - like the directivity of microphones, speakers, as well as head-related transfer functions (HRTFs)

TracTrac is a Particle Tracking Velocimetry (PTV) software which is extremely fast (more than 10k points tracked per second, 100k under python) and accurate (up to 0.01 pixel resolution), forming thus a good concurrent to the state-of-the art PIV/PTV algorithms. It allows to track anything that moves: birds, ants, grains, water flows... It runs on Python (v2&3) or Matlab (>2012a with Image Processing toolbox). Give it a try ! Get the last sources on GitHub: https://github.com/jorishey1234/tractrac

Yet Another Audio Feature Extractor is a toolbox for audio analysis. Easy to use and efficient at extracting a large number of audio features simultaneously. WAV and MP3 files supported, or embedding in C++, Python or Matlab applications.

AVRS performs spatial 3D-sound processing allowing the arbitrary placement of sound source in auditory space. The main goal is to develop a genuine experimental flexible platform, that runs in a general-purpose architecture computer (standard hardware and software).

Ctrax is now hosted on Sourceforge (http://sourceforge.net/projects/ctrax). This Berlios site will no longer be maintained.

The Fish4knowledge project investigated: information abstraction and storage methods for analyzing undersea video data (from 10E+15 pixels to 10E+12 units of information), machine and human vocabularies for detecting & describing fish, flexible process architectures to process the data and scientific queries and effective specialised user query interfaces. A combination of computer vision, database storage, workflow and human computer interaction methods were used to achieve this. The project used live video feeds from 10 underwater cameras as a testbed for investigating more generally applicable methods for capture, storage, analysis and querying of multiple video streams. We collated a public database from 3 years containing video summaries of the observed fish and associated descriptors. Expert web-based interfaces were developed for use by marine researchers, allowing unprecedented access to live and previously stored videos, or previously extracted information.

This is a speech project make by NTHU MIRLab, Taiwan.

Open-source content and evaluation framework for music transcription systems. Can be used as monophonic or polyphonic database, through software mixing.

The Sound Description Interchange Format (SDIF) is an established standard for the interchange of sound descriptions and analysis data. This project provides libraries, SDIF (in C) and Easdif (in C++), tools, and wrappers to read and write SDIF files.

A fast, accurate, and flexible "shoebox" room acoustics simulator that supports both specular and diffuse reflections.