This is good. I have been looking forward to seeing something like this for a while. I'd be cool however, to dump a *real* python function into a vertex shader and let it do real mesh deformations. I know, it would be hard to validate if it wasn;t doing some crazy stuff. Of course, with new (ie soon-to be-introduced) tesselation extensions to opengl, the mesh itself could be generated on the gpu itself. On Mon, Sep 28, 2009 at 10:07 PM, Nicolas Rougier <Nicolas.Rougier@loria.fr> wrote:

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 http://mail.scipy.org/mailman/listinfo/numpy-discussion

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?

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