Open Source Linux Realtime Processing Software - Page 3

Graphene is a real-time dashboard and graphing toolkit built with D3.js and Backbone.js. It was originally designed to sit on top of the Graphite data model and API, enabling teams to quickly build live dashboards that show thousands of datapoints updating over time. The project provides a highly customizable and hackable client-side engine: you define “widgets” such as time series graphs, gauges or labels, hook them to data providers, and the toolkit handles ingestion, rendering and live updates. While the code is somewhat dated (it uses Backbone + CoffeeScript/JavaScript rather than newer frameworks), it remains useful for legacy setups or teams wanting to build simple real-time dashboards without heavy infrastructure. The repository includes example dashboards and a builder API to define data sources and widget configurations. It also emphasises aesthetic and performance considerations, aiming to support thousands of data points and live refreshes in the browser.

Harp is a static web server that also serves Jade, Markdown, EJS, Less, Stylus, Sass, and CoffeeScript as HTML, CSS, and JavaScript without any configuration. It supports the beloved layout/partial paradigm and it has flexible metadata and global objects for traversing the file system and injecting custom data into templates. Optionally, Harp can also compile your project down to static assets for hosting behind any valid HTTP server. Pre-compilers are becoming extremely powerful and shipping front-ends as static assets has many upsides. It's simple, it's easy to maintain, it's low risk, easy to scale, and requires low cognitive overhead. I wanted a lightweight web server that was powerful enough for me to abandon web frameworks for dead simple front-end publishing. Harp can be used as a library or as a command line utility. You may also use harp as a node library for compiling or running as a server.

HSPI offers to the astronomer the possibility to capture pictures from the CCD camera in a fast and intuitive way, keeping under control all the instrumentation in posses. HSPI can control the CCD camera, the mount, the focuser, the filter wheel and the dome from a single interface, and not only this: these features can be added on as many observatories and instrumentations you want. HSPI is ASCOM and INDI compatible, so if you want to use particular setups like Linux computers connected with your instrumentation and control them from remote then HSPI is your choice! After a few clicks you can see the images coming from your cameras connected through Internet or your LAN. HSPI saves your pictures in various formats: Bitmap, FIT, JPEG, PNG, TIFF are the picture formats supported.

Video processing and computer vision library for GNU/Linux offering interfaces to do image- and video-I/O with ImageMagick/Magick++, Xine, firewire digital camera (DC1394), and video for linux (V4L2). Note that this version of HornetsEye is deprecated. HornetsEye now is released as multiple packages on RubyGems.org. The source code is available on Github.com (see https://wedesoft.github.io/hornetseye-doc/ for more information).

ImprovCV is a modular dataflow vision processing system built ontop of OpenCV.

The Intelligere Flash Chat System is a complete chat system based on Flash on the client side and on PHP on back-end. The server used for the syncronitazion and for the streaming is Adobe FMS. Demo http://www.intelligere.info/intelligereFCS/demo.cfm

This is an application that streams data from the Microsoft Kinect or cameras like it over a network. The program is Intended to be used in robotics applications where the controller cannot use such cameras directly due to hardware/software limitations--such as lacking usb ports or appropriate drivers--or in situations where the camera is not in close proximity to the device that needs to access it. Given that the controller can accept data from over the network, another embedded controller that is able to use these kinds of cameras can be loaded with this software to send the image and depth data from the kinect over the network to the other controller. Currently, KinectStreamer can only use the libfreenect library as its driver. Support for the OpenNI driver should be rolling out soon. As well as a C++ client to the KinectStreamer server. Designed by Frans Elliott.

LEA is a lightweight eyetracking algorithm library (hence the name) written in and for Java. LEA is able to track eye movements with an ordinary webcam and returns relative movements (up, down, ...). It is also able to compensate for slight head motions.

This Project aims at enhancing the Live 555 Media server to stream MP4 media files and provide Trick Play Functionalities

maestream is a serie of abstractions, to make more easily the use of PureData for multimedia purposes. maestream is recommended for Pd-extended users

Maestro is the control plane application for the M3 video server.

The project aims to provide a Java library that enables OpenGL animation and rendering of mandelbrot fractals using LWJGL.

Environment for video and multimedia installations and other kinds of realtime media manipulation with a focus on modularity and performance.

Media server, streaming video server. Supports RTMP, RTMPT, HTTP Live Streaming (HLS), RTSP, MPEG-TS protocols. Streaming to PC, Mac, iPhone and Android. Live transcoding. Streaming and recording for IP cameras. Video chat and video conferencing. Visit project's home page for downloads: http://momentvideo.org

NDia aims to provide users with a way to watch animated videos in simulated 3d by creating a multi-layered anaglyph (Red/Blue glases-style image) of a playing movie. This will allow users to watch any animated video file as if it had been created in 3d

A gathering of state-of-the-art tools for GPU based image processing. They are the sourcecode for related research articles, and provide the basis for own experimentation. All are being implemented forNVidia GPUs in Linux, hence the name "nvision" ;)

Omnimeeting is a multiplatform C++ videoconference program that can do live cam/audio streaming using RTSP protocol.It can recv/send a 360 degrees omnidirectional video and do a face detecting/tracking.It has APIs to convert/send omnidirectional images.

Includes a framework and various methods of motion detection, enhancement, object tracking.

Argo-Panoptes is a distributed surveillance system that allows video remote control using a smartphone or web browser as user interface. The system is able to alert the user about failures or motion detection by email, SMS or MMS.

PixelController – a matrix control project by Michael Vogt , (c) 2010-2013. The main goal of this application is to create an easy to use matrix controller software which creates stunning visuals! Keywords: Arduino, Teensy, OSC, MIDI, PureData, Visuals, RealTime

an experimentation page for art made with Processing

PyMesh is a codebase developed by Qingnan Zhou for his PhD research at New York University. It is a rapid prototyping platform focused on geometry processing. PyMesh is written with both C++ and Python, where computational intensive functionalities are realized in C++, and Python is used for creating minimalistic and easy-to-use interfaces. PyMesh is a rapid prototyping platform focused on geometry processing. It provides a set of common mesh processing functionalities and interfaces with a number of state-of-the-art open-source packages to combine their power seamlessly under a single developing environment. Mesh process should be simple in python. PyMesh promotes human-readable, minimalistic interface and works with native python data structures such as numpy.ndarray.

PyTorch-NLP is a library for Natural Language Processing (NLP) in Python. It’s built with the very latest research in mind, and was designed from day one to support rapid prototyping. PyTorch-NLP comes with pre-trained embeddings, samplers, dataset loaders, metrics, neural network modules and text encoders. It’s open-source software, released under the BSD3 license. With your batch in hand, you can use PyTorch to develop and train your model using gradient descent. For example, check out this example code for training on the Stanford Natural Language Inference (SNLI) Corpus. Now you've setup your pipeline, you may want to ensure that some functions run deterministically. Wrap any code that's random, with fork_rng and you'll be good to go. Now that you've computed your vocabulary, you may want to make use of pre-trained word vectors to set your embeddings.

A free 3D Video Player were you can modify the viewpoint interactively. This Program is result of a Bachelor Thesis written at Institute for Telecommunications, RWTH Aachen University. See wiki or homepage for instructions how to use it.

Real time face tracking and recognition refers to the task of locating human faces in a video stream and identifying the faces by matching them against the database of known faces.