ASFV panda transition

Its a big day for the python implementation of ASFV (pyDEACCON) as it just made the jump to rendering and growing in panda3d and as a bonus became multi-threaded. In addition pyDEACCON is now completely modular (MVC) and can easily be hooked up to any rendering system now.  It could even be rigged to run as a script in a level editor built in maya/mod tool.

Right now the “adaptive” part of ASFV is still a little flacky but that should go away tonight now that I can see what is going on in real time (no more flicker or lag in growth).  Panda really shows off how efficient it is by building initial decompositions and still maintaining 30+ fps

pictures coming once study participant runs through.

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