Open Source Genetic Image Generation Software
maloi writes: "A couple of years ago, I wrote some software to mimic the genetic image generation software Karl Sims describes in his paper Artificial Evolution for Computer Graphics. After neglecting it for a long time, I finally got around to it again a few weeks ago, cleaned it up a bit, and released it under the GPL. You can now find it at Sourceforge. There's also a bit more info about it at Kaizolabs. I should mention that this is my first foray into open source development, so if there's anyone interested in both working on it and perhaps lending some guidance to me, it would be greatly appreciated!"
Yes, this is a clever idea, but there are *thousands* of clever ideas on Source Forge that are generally neglected?
I guess the arbitrary "news" detector of Slashdot has reared it's ugly head again. :)
Got Rhinos?
If all this should have a reason, we would be the last to know.
I wrote something like this two years ago (though i was unaware of Sims's paper) based on the image generation ideas from this 1999 Slashdot piece, referring to the apparently still active Gallery of Random Art. My stuff allows you pick a size, though, so you can make desktop backgrounds :) You act as the environment, selecting images that you would like to see mutated. The mutations are frequently fairly subtle, so it can take several iterations. Sadly, there is no cross-breeding yet.
With some trepidation, I'll point to my server which is running this. Be gentle, it's just one box and it's on a cheap DSL line (128Kb upload). You can see and download some examples of what it's produced on my server and also on WebShots here and here.
On the odd chance that you'd like to see my code, email me. I don't have the ego to presume that this stuff is so interesting to people to have published it myself.
mahlen
In Riemann, Hilbert or in Banach spaceLet superscripts and subscripts go their ways.
Our asymptotes no longer out of phase,
We shall encounter, counting, face to face.
--Stanislaw Lem, translated by Michael Kandel, "The Cyberiad"