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.
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
On 26 January 2012 19:36, Howard how...@renci.org 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,
On 1/27/12 3:39 AM, Ian Thomas wrote:
On 26 January 2012 19:36, Howard how...@renci.org
mailto:how...@renci.org 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
On Fri, Jan 27, 2012 at 10:06 AM, Howard how...@renci.org wrote:
On 1/27/12 3:39 AM, Ian Thomas wrote:
On 26 January 2012 19:36, Howard how...@renci.org 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
Hi all
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
