Conclusions of the #5Hackathon

So, the #5Hackathon is over! (day 1 and day 2). It has been an amazing weekend of learning and programming experiences that have improved a lot OSGiLiath, with the new module OSGiLiART. In summary, we have tackled the next big achievements:

  1. A state of the art on Evolutionary Algorithms. A new paper is being prepared!
  2. A lot of documentation has been added to the Google Group package (Processing primitives, tutorials…).
  3. A Human Guidance GUI to vote the most “aesthetical” pictures and adding metadata for future classifications. See it in action hereHG
  4. The new module OSGiLiART: new basic “artistic” individuals have been added: a set of circles in random positions or in a GRID. Two different fitness: comparing histograms (H, S, V, R, G or B) and pixel matching. And, a HUGE number of manipulation classes! (see for example the SVN statistic obtained with StatSVN).

file_count

Look at the results of the first executions (they must be improved). This example is using the Pixel Matching Fitness.

foto_fergugen200_id0023

Finally, a resume of the experience is also available in this presentation:

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About fergunet

PhD at Computer Science. I like Doctor Who.
This entry was posted in CUSL7, Hackathon, OSGiLiART, Project development and tagged , , , . Bookmark the permalink.

4 Responses to Conclusions of the #5Hackathon

  1. Pingback: Two papers accepted at GECCO 2013 conference! | OSGiLiath

  2. Pingback: OpenCV added in the #6Hackathon of the #CUSL7 | OSGiLiath

  3. Pingback: Paper “Testing the Differences of Using RGB and HSV Histograms During Evolution in Evolutionary Art” in ECTA | GeNeura Team

  4. Pingback: #6Hackathon of #cusl8 is coming! | OSGiLiath Evolutionary Framework

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