From: Howard <ho...@re...> - 2012-01-30 21:37:59
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Hi Nicolas Thanks for the post. I'm going to finish optimizing all of the non-rendering pieces of my code, then I'll see if trying the hardware rendering makes sense. Right now I am software rendering 3.5 million triangles in about 5 seconds, but the setup (masking etc) is taking about 40. When I get the setup lower (which I think I will), I'll get back to you about this. Thanks again Howard On 1/29/12 7:43 AM, Nicolas Rougier wrote: > > > Thanks for posting the link to glumpy. > > As Benjamin explained, glumpy servers as a testbed for various > technics that could be implemented later in matplotlib. The main > problem today is that if you want to benefit from hardware > acceleration, you have to use some GL features that are not compatible > with he whole matplotlib framework (and we need to ensure some degree > of compatibilty). I do not have yet a clean solution and I'm still > experimenting. > > For your tricontourf problem, I think it might be solved quite easily > with the proper GL shader but I would need a complete (and basic) > matplotlib script example to check if this is actually the case. > > > Nicolas > > > On Jan 27, 2012, at 23:12 , Benjamin Root wrote: > >> On Fri, Jan 27, 2012 at 10:06 AM, Howard <ho...@re... >> <mailto:ho...@re...>> wrote: >> >> On 1/27/12 3:39 AM, Ian Thomas wrote: >>> On 26 January 2012 19:36, Howard <ho...@re... >>> <mailto:ho...@re...>> wrote: >>> >>> I'm rendering some images with about 3.5 million triangles >>> into a 512x512 png file using tricontourf. I'm running this >>> in a virtual machine, and I'm pretty sure that there is no >>> graphics rendering hardware being used. Is it possible, >>> assuming the hardware was available, to make tricontourf use >>> the rendering hardware? Will that happen by default? >>> >>> >>> You are correct, there is no graphics hardware rendering. >>> Rendering is controlled by the various matplotlib backends, and >>> to my knowledge there are no backends currently available that >>> use hardware rendering. >>> >>> There has been some work done on an OpenGL backend, but I am not >>> sure of the status of this. The last time I checked it was >>> pretty experimental. Perhaps someone involved with it can >>> comment on its current status. >>> >>> Ian Thomas >> Ian >> >> Thanks very much for the reply. If it helps whoever is doing the >> OpenGL backend, I may be able to play with it a bit. >> >> >> Howard >> >> >> That would be the Glumpy project. >> >> http://code.google.com/p/glumpy/ >> >> As stated in an email response a while back, glumpy is intended to be >> a testbed for developing the OpenGL backend for future inclusion into >> matplotlib. >> >> Cheers! >> Ben Root >> >> ------------------------------------------------------------------------------ >> Try before you buy = See our experts in action! >> The most comprehensive online learning library for Microsoft developers >> is just $99.99! Visual Studio, SharePoint, SQL - plus HTML5, CSS3, MVC3, >> Metro Style Apps, more. Free future releases when you subscribe now! >> http://p.sf.net/sfu/learndevnow-dev2_______________________________________________ >> Matplotlib-users mailing list >> Mat...@li... >> https://lists.sourceforge.net/lists/listinfo/matplotlib-users > -- Howard Lander <mailto:ho...@re...> Senior Research Software Developer Renaissance Computing Institute (RENCI) <http://www.renci.org> The University of North Carolina at Chapel Hill Duke University North Carolina State University 100 Europa Drive Suite 540 Chapel Hill, NC 27517 919-445-9651 |