Free augments software for linux

The GIMP is the GNU Image Manipulation Program. It is a freely distributed piece of software for such tasks as photo retouching, image composition and image authoring. The Gimp works on many operating systems, in many languages.
GIMP is an acronym for GNU Image Manipulation Program. It is a freely distributed program for such tasks as photo retouching, image composition and image authoring.
It has many capabilities. It can be used as a simple paint program, an expert quality photo retouching program, an online batch processing system, a mass production image renderer, an image format converter, etc.
GIMP is expandable and extensible. It is designed to be augmented with plug-ins and extensions to do just about anything. The advanced scripting interface allows everything from the simplest task to the most complex image manipulation procedures to be easily scripted.
GIMP is written and developed under X11 on UNIX platforms.
Main features:
Painting
- Full suite of painting tools including Brush, Pencil, Airbrush, Clone, etc.
- Sub-pixel sampling for all paint tools for high quality anti-aliasing
- Extremely powerful gradient editor and blend tool
- Supports custom brushes and patterns
System
- Tile based memory management so image size is limited only by available disk space
- Virtually unlimited number of images open at one time
Advanced Manipulation
- Full alpha channel support
- Layers and channels
- Multiple Undo/Redo (limited only by diskspace)
- Editable text layers
- Transformation tools including rotate, scale, shear and flip
- Selection tools including rectangle, ellipse, free, fuzzy and intelligent
- Advanced path tool doing bezier and polygonal selections.
- Transformable paths, transformable selections.
- Quickmask to paint a selection.
Extensible
- A Procedural Database for calling internal GIMP functions from external programs as in Script-fu
- Advanced scripting capabilities (Scheme, Python, Perl)
- Plug-ins which allow for the easy addition of new file formats and new effect filters
- Over 100 plug-ins already available
Animation
- Load and save animations in a convenient frame-as-layer format
- MNG support
- Frame Navigator (in GAP, the GIMP Animation Package)
- Onion Skin (in GAP, the GIMP Animation Package)
- Bluebox (in GAP, the GIMP Animation Package)
File Handling
- File formats supported include bmp, gif, jpeg, mng, pcx, pdf, png, ps, psd, svg, tiff, tga, xpm, and many others
- Load, display, convert, save to many file formats
- SVG path import/export

Softpedia Linux RSS is a theme for SuperKaramba for viewing latest Linux Softpedia downloads.
SuperKaramba is, in simple terms, a tool that allows you to easily create interactive eye-candy on your KDE desktop.
SuperKaramba is a tool that allows anyone to easily create and run little interactive widgets on a KDE desktop. Widgets are defined in a simple text file and can be augmented with Python code to make them interactive. Current widgets include everything from simple news headline displays to complete custom replacements for kicker, the KDE toolbar.
Main features:
- Open URL in new tab
- Shadow fonts
- Transparent background

color wrapper is a non-intrusive real-time ANSI color wrapper for common unix-based commands on GNU/linux. cw is designed to simulate the environment of the commands being executed, so that if a person types du, df, ping, etc. in their shell it will automatically color the output in real-time according to a definition file containing the color format desired.
color wrapper has support for wildcard match coloring, tokenized coloring, headers/footers, case scenario coloring, command line dependent definition coloring, and includes over 50 pre-made definition files.
cw works by having an augmented PATH environmental variable which has a path to the cw definition directory prepended to it, this is usually set as "export ATH=/usr/local/lib/cw:$PATH" (in bash). in this cw definition directory you will see file(s) under the very same name of the program they are designed to color. these files appear as the common executable binaries you may be used to using, but they are just text files that contain instructions for cw to use, including the path to the "real" binary.
Enhancements:
- Fixed bug that could crash cw, introduced in the previous version.

BuddySpace is an instant messenger with four novel twists: (1) it allows optional maps for geographical & office-plan visualizations in addition to standard buddy lists; (2) it is built on open source Jabber, which makes it interoperable with ICQ, MSN, Yahoo and others; (3) it is implemented in Java, so it is cross-platform; (4) it is built by a UK research lab, so it is 100% free with full sources readiily available. But BuddySpace is about more than just messaging, as we explain below.

One of the key factors that led to the widespread popularity of Instant Messaging applications from 1997 onwards (including ICQ, AOL, Yahoo!, MSN, Odigo, and Jabber messengers) was the concept of pushed presence: the automatic notification of the appearance of friends and colleagues online.

However, Instant Messaging (IM) is just one of many possible presence-related and presence-dependent applications. For example, presence-enabled applications can facilitate safety-tracking of children by mobile phone, support for emergency services, blind-date radar, group teleconference management, multiplayer games, and anything involving the collaboration of individuals separated in space and time.

Why phone a contact only to receive an engaged tone or pre-recorded message, when the telephone network already knows what state your contact is in, and could indicate this directly on your contact list? All of these concepts embody varying degrees of what we refer to as enhanced presence management.

The concept of presence has matured in recent years to move away from the simple notion of online/offline/away, towards a rich blend of attributes that can be used to characterise an individuals physical and/or spatial location, work trajectory, time frame of reference, mental mood, goals, and even intentions! Our challenge is how best to characterise presence, how to make it easy to manage and easy to visualise, and how to remain consistent with the users own expectations, work habits, and existing patterns of Instant Messaging and other communication tool usage.

BuddySpace generalizes the concept of Buddy List (popularised by Instant Messaging tools such as AOL Instant Messenger, ICQ, MSN Messenger, and Yahoo Messenger) to provide multiple views of collaborative workgroups according to users needs and tastes. Our aim has been to provide a personal dashboard or radar screen so that one can observe the availability and interaction state of colleagues worldwide in a manner that exhibits the following desirable properties:

* immediate: real-time updates need to be pushed instantly to users rather than pulled in by request -- the push approach helps keep updates more palpable and informative
* peripheral and therefore non-intrusive: users lead busy lives, and dislike being bombarded with yet more information, so we aim to keep awareness of colleagues available in a compact manner that can be noticed peripherally
* customisable: some people prefer simple or hierarchical lists, some prefer visual maps, some prefer status lights, and so on; some prefer a Windows look-and-feel, some a Mac-- we need to cater for diverse user preferences and capabilities
* scaleable: we have to provide ways to indicate the presence of potentially enormous numbers of people, even given that these numbers will be filtered down for personal use -- researchers inhabit workspaces with many hundreds of colleagues around the globe; the Open University has well over 150,000 students online; large peer-spaces like music swapping communities have many millions of users connected simultaneously
* interoperable: with several hundred million users of the Big Four (AIM/ICQ/MSN/Yahoo!), it is crucial that any approach allow interopebility with systems to which our users already subscribe; this is one of the many reasons we built BuddySpace entirely on top of Jabber (www.jabber.org), which provides gateways to the Big Four products.
* cross-platform: we need to service a community not only on Windows, Unix/Linux, and Mac desktop and notebook configurations, but also on PDAs and mobile phones -- we therefore develop entirely in Java
* XML-literate: for future intelligent applications, communication transport needs to be about more than just string-transmission; another we adopted Jabber is that it is based entirely on a generic XML transport architecture, ideally suited for this purpose.
* open source: for the research community to join us and to gain leverage via our research output, we have ensured that BuddySpace is open source, available on SourceForge.
* clean: BuddySpace adheres rigorously to the Jabber specification, which means that it interoperates with other Jabber clients and servers without danger of the rogue behaviour that non-standard implementations inadvertently allow (e.g. the semantics of users inhabiting multiple groups is undefined in some clients, and can cause crashes).
* extendable: BuddySpace deploys a plug-in architecture which means that additions, such as new visualizations, and new concepts such as gaming interfaces, are readily achievable

BuddySpace fulfills all the above criteria, and provides a compelling user interface that can be highly compact, yet provide users with an important feel-good factor, akin to seeing nearby office lights turned on when entering ones office building at night. By studying the semantics of presence, we can also augment the existing impoverished presence states in a principles manner, providing capabilities that are more representative of the way real users work. Forthcoming capabilities will include automatic location updates via mobile devices, and the use of semantic matchmaking via intelligent profile handling, in order to help users quickly find and filter colleagues of particular interest.

QOLSR is a QoS extension introduced to the OLSR protocol. Almost no additional control traffic is generated (only augmented HELLO and TC messages).
Like in standard OLSR, link state information is generated only by nodes selected as MPRs. This information is then used for route calculation. QOLSR requires only partial link state to be flooded in order to provide optimal paths in terms of application requirements.
QOLSR does not require any changes to the format of IP packets, thus any existing IP stack can be used and the protocol only interacts with kernel routing table management.
First IETF manet drafts have been submitted as experiments and research go on.
Enhancements:
- Minor bugfixes

ivtools (pronounced eye-vee-tools) is a suite of free X Windows drawing editors for PostScript, TeX, and web graphics production, as well as an embeddable and extendable vector graphic shell
ivtools is made up of layered collection of free C++ frameworks that vertically augment the mechanisms of Unidraw
Main features:
- an application framework for developing direct manipulation graphical editors (drawing editors).
- a GUI widget framework built on TeX structured document concepts
- A command interpreter with network capability.
- an extra layer of drawing editor application framework
- a layer for integrating the command interpreter into the drawing editor
- a layer for multi-frame applications
- a layer for graph/network applications
Enhancements:
- More changes required by gcc-4.* were made.
- The command interpreter was evolved.

Neuro-Evolving Robotic Operatives project, or NERO for short, is a unique computer game that lets you play with adapting intelligent agents hands-on. Evolve your own robot army by tuning their artificial brains for challenging tasks, then pit them against your friends teams in online competitions!

NERO is an active research project run almost entirely by students. It uses the real-time NeuroEvolution of Augmenting Topologies (rtNEAT) algorithm created by Ken Stanley during his PhD work at UT Austin. The NERO project is a collaboration of the Department of Computer Sciences and the Digital Media Collaboratory at the University of Texas at Austin.

MIDI Data Miner uses a neural network to learn correlations between notes and control changes in a MIDI file.

After training MDM can augment a live MIDI stream, adding control changes based on notes received.

Briefly: use MDM by connecting a MIDI device, open preferences and set MIDI input and output ports. Open a MIDI file, create a new neural net and train. Now play notes on your MIDI device, MDM will automatically add control changes.

MDM creates a collection of note and controller pairs from the file and uses them to train a net. The notes are used as inputs and the controls as outputs. The window is the number of previous notes considered when determining the output for the current note. Larger windows give less predictable more interesting responses. Enter a number in the window box and press enter to set the window size.

This is an early alpha release, buggy and incomplete. Please send feedback! Note that this alpha version only reads from the first track in a MIDI file, and only uses the first controller. Look at the included MIDI file in the working/midi folder for details.