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.roug...@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
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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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