Free main features of bhakti 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

Hero of Allacrost is a single player 2D role-playing game.
Hero of Allacrost is a game inspired by the likes of SNES-era RPGs such as Chrono Trigger and the Final Fantasy series.
In Allacrost, the player explores rich environments, undertakes various quests and missions, solves dungeon puzzles, and fights strategic battles in an active time-based system.
Enhancements:
- Free-range movement replacing tile-based movement
- Two excellent new maps to explore
- No more random encounters
- You can now buy and sell wares from shop keepers
- A newly added stamina bar in the battle interface
- The ability to gain experience levels and make your character grow stronger
- Plenty of additional music to enjoy

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.

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.

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

XOrg/XFree86 Synaptics TouchPad Driver project is a driver for the Synaptics TouchPad for XOrg/XFree86 4.x.
A Synaptics touchpad by default operates in compatibility mode by emulating a standard mouse. However, by using a dedicated driver, more advanced features of the touchpad becomes available.
Main features:
- Movement with adjustable, non-linear acceleration and speed.
- Button events through short touching of the touchpad.
- Double-Button events through double short touching of the touchpad.
- Dragging through short touching and holding down the finger on the touchpad.
- Middle and right button events on the upper and lower corner of the touchpad.
- Vertical scrolling (button four and five events) through moving the finger on the right side of the touchpad.
- The up/down button sends button four/five events.
- Horizontal scrolling (button six and seven events) through moving the finger on the lower side of the touchpad.
- The multi-buttons send button four/five events, and six/seven events for horizontal scrolling.
- Adjustable finger detection.
- Multifinger taps: two finger for middle button and three finger for right button events. (Needs hardware support. Not all models implement this feature.)
- Run-time configuration using shared memory. This means you can change parameter settings without restarting the X server.
Enhancements:
- Support for xorg 7.1 has been added.
- A couple of minor build fixes for xorg 7.0 have been made.

Tactical Rogue game aims to take the best of two very interesting concepts and merge them together, namely, the variety and endlessness of rogue and the strategic elements of Tactics Ogre/Final Fantasy Tactics.

Basically this means well be autogenerating vast amounts of items, weapons and armors, autogenerating dungeon labyrinths and autogenerating monsters based on set profiles. Then, we will use these autogenerated worlds and enforce a strategical/tactical engine based upon many simply attributes such as speed, movement, agility, strength, dexterity, wisdom, intelligence, hp, mp, level, class and experience. The game will run semi-realtime, in the sense that time progresses until someones wait-time reaches zero allowing them to move/act which will then reset their wait-time to its maximum value based upon the characters traits and attributes.

The game will be developed under linux using sdl and c++, using .png for graphical storage of sprites and aminations and .ogg (vorbis) for storage of sound effects and music. All files, be it code, music or sprites will be licenced in a license compatible with the GPL, most likely under the GPL.

coComment! is a Firefox extension that allows you to activate coComment! from the right-click context menu and reduces your onscreen movement time so that you dont have to move all the way from the comment text box to the Bookmarks and then back to the Submit button.