Free main features of sufi movement software for linux

Tales of Middle Earth (ToME) is a fantasy adventure game, based on the works of J.R.R. Tolkien. It is a game that emphasizes intricate, challenging, and varied gameplay over graphics.
Hundreds of different monsters in randomly-generated, unpredictable dungeons will strive to slay you by various means, and you counter - if you survive - by developing the skills of your choice and wielding mighty artifacts.
ToMEs races from Hobbit to Troll and classes from Swordmaster to Summoner allow for many different playing styles and a replay value that extends through years.
The only game so realistic that your scrolls and spell books will burn if you trudge in lava (unless you have gained immunity from some armour), you will dry up rivers to cast mighty spells, strike at orcs with blades attuned to slay them specifically, summon armies from a simple totem, and even forge your own artifacts.
There is an entire community to help you with the game, and it is far from static - ToME is a developing game, always improving. And best of all, its free.
Enhancements:
- Fix window position saving on Mac OS
- Remove buggy trap of Stair Movement
- Fix typo in one monsters flags
- Fix word wrapping in character sheet

Python Traffic Analyzer is a Python base class and sample driver script written to retrieve and manipulate images from the TrafficLand cameras and calculate a numeric value representing the current traffic flow.

PyTrAn, an example driver script, an image collector and an image mask creator are available for download from the link shown at the bottom. To use the PyTrAn package begin by choosing a camera that you wish to analyze, for this example well use the camera captioned above.

We want to construct a mask over the area of the image that we are interested in, namely the road. In this particular example the road takes up the majority of the image but that is not always the case.

We will apply the mask over captured images to fine tune the area over which we are looking for movement. To create the mask we will first need to collect a sequential series of snapshots from the target camera. The image_collector.py script was written for this task:

$ mkdir mask_200003
$ cd mask_200003
$ ../image_collector.py 200003 30
Collecting 30 images...
30

Done.

The script is hard coded to capture images on a 2-second delay. The delay is necessary to ensure the image has changed. I believe 2-seconds to be the absolute minimum. Once complete, 30 images numbered 1 through 30 will be created in the current directory.

We construct a mask from these captured images by creating a diff-image for each sequential image pair and then adding each diff-image together. Naturally, a script was written to automate this task as well:

$ ../mask_maker.py 1 30
Creating a diff for each sequential image pair.
Diffing 29

Creating the initial mask from the first image pair.

Adding the rest of the diffs to the mask.
Masking 29

Done.

A number of .diff files are generated in this process. These files repesent the movement between individual sequence pairs.

The .diff files are simply intermediary files, the important bit is the mask file, which is generated as the sum of all differences.

The mask file may be dirty (as in this case) and require manual cleanup. The basic shape of the road however is clearly visible, evidence that we can with minimal effort automate the mask generation process. Also, this run was conducted at night, day-time images yield better results.

There are a few final steps we need to take before we can use the example PyTrAn driver script. First we need to convert the mask to ASCII (noraw) format:

$ pnmnoraw mask > mask_200003.ascii

Then we need to open an ImageMagick display window and get its X-window-ID using xwininfo. Finally, update camera_id and window_id in pytran_sampling.py and launch the driver:

$ ../pytran_sampling.py
DEBUG> grabbing frame from camera 200003
DEBUG> rotating image: pytran.this > pytran.last
DEBUG> refreshing image in 3 secs
taking a 5 minute sample at various thresholds.
DEBUG> grabbing frame from camera 200003
DEBUG> generating frame diff on pytran.last, pytran.this
DEBUG> displaying image: pytran.diff
DEBUG> converting pytran.diff to ascii
DEBUG> calculating traffic ratio...
ratio[5]: 55%
DEBUG> calculating traffic ratio...
ratio[10]: 52%
...
...
5 minute sample[5]: 67.88
5 minute sample[10]: 42.66
5 minute sample[15]: 30.57
5 minute sample[20]: 23.03
5 minute sample[25]: 18.39
5 minute sample[30]: 14.79
5 minute sample[35]: 12.42
5 minute sample[40]: 10.53
5 minute sample[45]: 9.06
5 minute sample[50]: 7.85

The sampling script will take 5 minute samples at varying color thresholds. The optimal threshold must be manually chosen. Furthermore, you will need to sample the traffic ratios during both heavy and light traffic times to get a good feel for your acceptable range. Also, keep in mind that the traffic ratio value is simply the percent change detected, or in other words the movement detected within the masked region. This means that a completely empty road will register similar values to a road so congested it looks like a parking lot. The time of day can be combined with the traffic ration to determine the logical truth.

With this task implemented and abstracted more complex systems can be built. When I find the time Id like to create a system that will take multiple potential travel routes and times, and during the travel time e-mail the traveler with the best route to take. Another idea I had would be to record the traffic flow values for each camera, for each day and for each half hour interval. Travelers and other interested parties can then analyze traffic patterns to determine the fastest route dependant on date/time.

xgestures is an x gesture program, inspired by all-in-one-gestures for firefox.
By clicking a mouse button (while possibly pressing a modifyer) and performing a movement sequence (composed of Up, Down, Left and Right) you can perform various actions around your desktop.
Currently, only the following actions are supported:
1) minimize - minimize the window on which the gesture started.
2) exit - exit the xgesture program.
3) execute - execute an arbitrary command
4) kill - kill the window on which the gesture started.
5) display_gests - display the currently configured gestures.
6) reconf - reread the configuration file
7) lower - lower the current window
8) raise - raise the current window
9) maximize - maximize the current window
Enhancements:
- version 0.3 now supports sending key events to the desktop. you can utilize them to activate any key bindings your window manager already supports.

View Picture project is an SDL-based image viewer for Linux and FreeBSD that supports slideshows, fullscreen, zoom, and arbitrary movement through the image list.
Main features:
- HTTP updated to 1.1
- Only hide cursor when fullscreen
- Fixed image count estimate
- configure-time X prefix
- fixed potential buffer overflow issues

Reality Cyanide project is a client for Cyanide, a graphical virtual reality multiplayer role-playing game.

Cyanide is intended to be the most dynamic multi-player online role-playing game ever made.

This client uses an isometric perspective to present scenes. It is programmed with Python, pygame (SDL), and OpenGL.

Full 3D movement is possible, and the servers code can be exchanged online.

XIGE project is a window manager belonging to a new generation of programs with different form, style, color and functionality, where you has the necessary, a beauty environment and the best thing, computing resources are saved for their slight feature.
The possibility also opens up of forgetting the common, the routine and the past, to see now, something new.
XIGE is a window manager for X Window System, developed on linux with GPL license, but with the capacity to be executed in other specification platforms POSIX like Solaris, BSD, and other UNIX systems.
It doesnt depend on extra libraries and it has been implemented in "C" from scratch. Their philosophy tries to stop the adaptation a little that at the moment has the software toward the new technologies, which have generated heavy programs, high resources consumers and an incredible capacity of discarding hardware!
The graphic environment has been implemented with new functionalities trying to avoid the monotony of the traditional window managers, optimizing resources, shortcuts functions and methodologies applied in the existent programs. All these characteristics make part of the Xilicius philosophy, which I take very interesting ideas of the operation of the "lwm" (and ACME: To User Interface for Programmers) but it interprets them in a way but more wide.
Main features:
Themes support
- The general appearance can be configured by means of the proportionate options, setting the border windows, fonts, textures, colors, pointers, background screen (XIGESetRoot), elements size and other visual aspects. The Themes are files that define the previous aspects in a simple way, easy to understand, and providing thousands of different appearances.
Movement window configuration
- Movement with the content of applications or without this (opaque movement).
Orientation mouse (left - right)
Complete keyboard support
- All the functions are available to be executed from the keyboard, related with menus and windows by means of configurable shortcuts.
Current functions
- Minimize, Maximize and close applications
- Dsiplay and handling menus
- Change Application to the "Alt+Tab" style
- Option of choosing the shortcuts keys
- Option of disabling partially or all functions
Personal profile
- In the multiuser environments its possible to load preferences kept in system or personal directory.
Excellent and beautiful Graphics
- Exist the classic solid textures and the possibility of having great beautiful variety available gradients for almost all the components.
Quick configuration with the "xigeconfig" tool
- xigeconfig is a used tool to set the main features environment. Now, xigeconfig graphic version its able to have the enough reach for users that wish to model the quick options easily.
Complete Mouse configuration with "xigeconfig"
- XIGE offers total custom support for the pointer.
Shade Windows (Function only from keyboard shortcut)
- Shade Windows is a new feature demanded by "blackb..." users, Its Here !

Search And Rescue project is an air rescue flight simulator. The player pilots rescue helicopters to rescue victims in various situations of distress.

Search and Rescue is a helicopter based air rescue flight simulator. It employs a simple flight dynamics engine that is targetted towards the "average" player. It is not designed to be a cutting-edge realistic simulator, but rather a flexable game that everyone can play and enjoy.

The history of the development of this game goes back to 1997, when Search and Rescue was created as an explorative to design for more complex 3D games using the OpenGL graphics library. Much of the effort in the development of this game came from Wolfpack Entertainment and many dedicated contributors (see credits below).

This game was ported to Windows early on in its development to ensure the portability of its graphics code. However the Win32 version lacked certain features due to differences in Windows design of its graphic, sound, and controller implementation.

The flight dynamics engine (FDE) features helicopter, aircraft, and tilt-rotor aircraft flight dynamics models (FDMs). It uses source-centered (as opposed to world-centered) mathimatical equations to simulate movement which mimicks but does not fundimentally follow standard physics equations. This simplifies the "flyability" of the aircrafts at a slight cost of realisim and lightens processor load.

The 3D visual models of the aircrafts and objects were created by a program called Vertex 3D, an OpenGL modeller designed to create 3D visual models that are optimized for OpenGL.

Each scene is a finite sized flat world, separated vertically by cloud layer(s) and centered at the origin with an artificial longitude and latitude offset applied to displayed positions.

After decades of war one company, who had gained powerful supplying both sides with weaponary, steps forwards and crushes both warring factions in one swift movement.
Using far superior weaponary and AI craft, the company was completely unstoppable and now no one can stand in their way.
Thousands began to perish under the iron fist of the company. The people cried out for a saviour, for someone to light this dark hour... and someone did.
Main features:
- 26 missions over 4 star systems
- Primary and Secondary Weapons (including a laser cannon and a charge weapon)
- A weapon powerup system
- Wingmates
- Missions with Primary and Secondary Objectives
- A Variety of Missions (Protect, Destroy, etc)
- 13 different music tracks
- Boss battles