Thanks. Apart from the speed, an OpenGL backend could be also useful for the ipython notebook using webgl (but I'm a total newbie at webgl).
Nicolas On Aug 1, 2012, at 12:07 , Damon McDougall wrote: > On Wed, Aug 01, 2012 at 11:24:06AM +0200, Nicolas Rougier wrote: >> >> >> Hi all, >> >> >> I'm continuing experimenting various solution for a possible GL backend for >> matplotlib and I made some progress (but no integration yet). >> >> You can check results (and experimenting yourself at various places, sorry >> for that): >> >> Text : http://code.google.com/p/freetype-gl/ >> http://code.google.com/p/freetype-py/ >> >> Images interpolation & 3D : http://code.google.com/p/glumpy/ >> >> Lines/Shapes : http://code.google.com/p/gl-agg/ >> >> The last experiments (gl-agg) were about high-quality lines and shapes. It >> seems OpenGL may offer pretty decent quality (IMHO) as you can see on the >> various screenshots that compare agg and opengl. demo-lines.py and a >> demo-circles.py show zooming/panning speed (mouse drag / scroll). >> >> There are still some more work to, mainly concave polygons and bezier filled >> shapes. >> >> However, the whole integration into matplotlib may require a lot of work >> since OpenGL technics may radically differ from their matplotlib counterpart >> in some case. For example, a grid is rendered using a single shader that >> manages internally all the lines and ticks. Another example is image >> interpolation that is done entirely on the graphic card (see glumpy). >> >> Also, Don't be fooled by the speed of the current demo-lines.py and >> demo-circles.py because they don't offer the versatility of matplotlib. >> >> >> >> At this point, I may lack time to write the actual integration into >> matplotlib and I may not know enough the internal matplotlib machinery. >> Maybe this could be a future project for next year / Google summer of code ? >> What do you think ? >> >> >> Nicolas > > Nicholas, > > There's a word for people like you: 'Hero'. > > The output, in my opinion, looks very nice. Personally, I don't see > myself using this for the two-dimensional stuff unless it's because I > need to quickly look at something (just like you mention on the glumpy > main page), but I think this is a winner for producing 3D plots. GL is a > champion when it comes to 3D rendering, a la MayaVI, VTK or Paraview and > the current mplot3d toolkit is using all of matplotlib's two dimensional > capabilities. I would love to have something like this that mplot3d can > hook into to produce publication-quality visualisations in > three-dimensional space. > > I have no experience with the backend side of matplotlib, I just wanted > to say thank you for your effort :) > > -- > Damon McDougall > http://damon-is-a-geek.com > B2.39 > Mathematics Institute > University of Warwick > Coventry > West Midlands > CV4 7AL > United Kingdom ------------------------------------------------------------------------------ Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ _______________________________________________ Matplotlib-devel mailing list Matplotlib-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
