Thursday, September 24, 2009

"GRE Words" My First J2ME Application :D

Hi guys, it has been very long time since i updated my blog. I have been very busy lately anyway
I wrote this small j2me application using netbeans IDE to help me prepare for GRE :D.
[Its not my own idea] there many apps out there. Thought i would make one myself :P. Im sharing it, and i hope someone might find it useful.
If you don't like the words bundles with the application. U can edit "words.txt" file in the jar and put your own words file in that format.

u can download from:



Sunday, April 26, 2009


- A Frontend download manager for linux commandline accelerators.

I haven't found any good gui download accelerator. And i frequently use axel with firefox and its pain to have many windows opened at a time. And i have to save the url somewhere if i want to pause and restart the url later.
So i thought of making my own :D .I have written the program in Qt4.
My idea was to have a common GUI for most of the command line accelerators available for linux like
1) axel
2) proz
3) wget etc ......
I have integrated axel till now; Others are yet to be done.

Its not yet ready for a release, I have been working on it only for last 5 days.
As It is written in qt4, it can be used on all three major platforms,
Linux, Mac and Windows (might require cygwin for axel).

Here is a quick overview of how it looks.

Saturday, January 31, 2009

Finally a working gtalk voip in linux !!!!!

I have been browsing through net and came across this post
I have tried jabber and other gtalk voip clients for linux that are said to be working , and nothing actually worked for me. I was bored and thought i would give the above method a shot (thinking that it would end the same as before). Surprisingly it worked :), for the first time i was able to call a gtalk user and do voice chat from linux :) althought video doesn't work.
However im still using pidgin and occationally switch when voip is necessary. And i already gave up on google to release gtalk linux native.

Thursday, January 15, 2009

Opencv on Beagleaboard !

I tested opencv on beagleboard for onboard image processing. The examples provides with opencv runs fine , but the performance is poor compared to a PC.

BeagleBoard (OMAP 3530, ARM Cortex-A8 600MHz, 128MB ram)
PC (Intel core2duo 2.13GHz, 1GB ram)

It took me about 4.4 sec on beagle for a simple facedetect example to detect all faces and around 0.35 sec on PC