[Numpy-discussion] [Matplotlib-users] glumpy: fast OpenGL numpy visualization + matplotlib integration

Nicolas Rougier Nicolas.Rougier@loria...
Mon Sep 28 11:37:39 CDT 2009



Well, I've been starting working on a pyglet backend but it is  
currently painfully slow mainly because I do not know enough of the  
matplotlib internal machinery to really benefit from it. In the case  
of glumpy, the use of texture object for representing 2d arrays is a  
real speed boost since interpolation/colormap/heightmap is made on the  
GPU.

Concerning matplotlib examples, the use of glumpy should be actually  
two lines of code:

from pylab import *
from glumpy import imshow, show

but I did not package it this way yet (that is easy however).

I guess the main question is whether people are interested in glumpy  
to have a quick & dirty "debug" tool on top of matplotlib or whether  
they prefer a full fledged and fast pyglet/OpenGL backend (which is  
really harder).

Nicolas



On 28 Sep, 2009, at 18:05 , Gökhan Sever wrote:

>
>
> On Mon, Sep 28, 2009 at 9:06 AM, Nicolas Rougier <Nicolas.Rougier@loria.fr 
> > wrote:
>
> Hi all,
>
> glumpy is a fast OpenGL visualization tool for numpy arrays coded on
> top of pyglet (http://www.pyglet.org/). The package contains many
> demos showing basic usage as well as integration with matplotlib. As a
> reference, the animation script available from matplotlib distribution
> runs at around 500 fps using glumpy instead of 30 fps on my machine.
>
> Package/screenshots/explanations at: http://www.loria.fr/~rougier/coding/glumpy.html
> (it does not require installation so you can run demos from within the
> glumpy directory).
>
>
> Nicolas
> _______________________________________________
> NumPy-Discussion mailing list
> NumPy-Discussion@scipy.org
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>
> Hi Nicolas,
>
> This is technically called OpenGL backend, isn't it? It is nice that  
> integrates with matplotlib, however 300 hundred lines of code indeed  
> a lot of lines for an ordinary user. Do you think this could be  
> further integrated into matplotlib with a wrapper to simplify its  
> usage?
>
>
> -- 
> Gökhan
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