[Nipy-devel] data structures for brain surfaces
Fernando Perez
fperez.net@gmail....
Wed Mar 14 01:38:42 CDT 2007
On 3/13/07, Darren Weber <dweber@radmail.ucsf.edu> wrote:
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> Thanks, Michael.
>
> What is your view of how vtk handles data streams? I'm concerned that
> copies of large data arrays through each stage of processing will exceed
> memory limits. Do you handle most of the data in python lists or numpy
> and only convert into vtk for display?
You should have a look at TVTK, which has really clean numpy
integration without copies (so you can do numerics on the actual
memory zone VTK is displaying). Besides, it's a LOT nicer to code
against than the regular (Kitware-supplied) python VTK API.
I recently started actually using it (after toying with it for a
while) and I'm quite impressed.
Cheers,
f
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