Open Source Realtime Processing Software - Page 4

Basic framework for doing better GL demos

The GPUImage framework is a BSD-licensed iOS library that lets you apply GPU-accelerated filters and other effects to images, live camera video, and movies. In comparison to Core Image (part of iOS 5.0), GPUImage allows you to write your own custom filters, supports deployment to iOS 4.0, and has a slightly simpler interface. However, it currently lacks some of the more advanced features of Core Image, such as facial detection. GPUImage uses OpenGL ES 2.0 shaders to perform image and video manipulation much faster than could be done in CPU-bound routines. It hides the complexity of interacting with the OpenGL ES API in a simplified Objective-C interface. This interface lets you define input sources for images and video, attach filters in a chain, and send the resulting processed image or video to the screen, to a UIImage, or to a movie on disk. Images or frames of video are uploaded from source objects, which are subclasses of GPUImageOutput.

GPUImage 2 is the second generation of the GPUImage framework, an open source project for performing GPU-accelerated image and video processing on Mac, iOS, and now Linux. The original GPUImage framework was written in Objective-C and targeted Mac and iOS, but this latest version is written entirely in Swift and can also target Linux and future platforms that support Swift code. The objective of the framework is to make it as easy as possible to set up and perform realtime video processing or machine vision against image or video sources. By relying on the GPU to run these operations, performance improvements of 100X or more over CPU-bound code can be realized. This is particularly noticeable in mobile or embedded devices. On an iPhone 4S, this framework can easily process 1080p video at over 60 FPS. On a Raspberry Pi 3, it can perform Sobel edge detection on live 720p video at over 20 FPS.

Genjutsu-vision is a networked computer vision framework for OpenGL. Based upon GLFW and IPP for optimization, networked computer vision development technologies enable vision analysis of data from multiple sources.

Implementation of an Interval Iterative Closest Point that uses intervals to found the global optimal solution. ICP can be used in vision technologies and photogrametry as pattern mathcing and as geometrical model finder.

Читает позиции прямо с гобана (с помощью камеры), контролирует и записывает партии Го. This application watches your goban (using a camera), controls and logs the Go game.

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.

The H.264 VHDL core is a hardware implementation of the H.264 video compression algorithm. The core accepts up to the highest resolution HDTV video stream as input and outputs the encoded bitstream. Simple, fully synchronous design with low gate count.

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

Create offline your own .flv files for personal use! It's easy, click to download. With your own .flv file you can offline view your internet video's or put them on your own website. The program can be used as a MEncoder GUI.

Jogo Cabanagem é um projeto livre, que consta na criação de uma game engine e um jogo sobre a revolução da cabanagem

KinectA is an application for motion tracking via Kinect Sensor – including hand, skeleton and object tracking. This software has been developed for the needs of media artists and designers. It provides a clearly arranged interface with multiple functionalities. The tracked information can be send via OSC to other hard- and software. KinectA is available for Mac and Windows.

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

Software for Live 2D/3D animations in WebTV like professional broardcasts inserts, charts, ...

LiveDW is a small program made for live stage performance, allowing to draw in real time physically animated object, like bezier curves and texts.

LiveDescribe is a simple tool for creating and sharing video description.

This is an open-source real-time object detection and tracking software for H.264/AVC videos. It applies probabilistic spatiotemporal macroblock filtering (PSMF) and partial decoding processes to effectively detect and track multiple objects with fast computation in H.264|AVC bitstreams with stationary background. The codes were written in Visual C++. For more details, please visit https://www.wonsangyou.com/research/aivision. If you need technical help, please send an email to wyou(at)kaist.ac.kr. When you use this software for your publications, please cite as follows. 1. Wonsang You, M.S. Houari Sabirin, and Munchurl Kim, "Moving object tracking in H.264/AVC bitstream," Lecture Notes in Computer Science, vol. 4577, 2007, pp. 483-492. 2. Wonsang You, M.S. Houari Sabirin, and Munchurl Kim, "Real-time detection and tracking of multiple objects with partial decoding in H.264/AVC bitstream domain," Proceedings of SPIE, vol. 7244, 72440D (February 2009).

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

MOVIE (MOdular VIdeo Environment) is the name of the realtime video processing environment that Tom Mays created using MAX/JITTER. It began as a personal project, but its development is now shared with Pascal Baltazar and Renaud Rubiano.