Hello
Please keep the ML in the cc so everyone can provide.
You should be able to do that in the python shell.
Views->Python Shell
s = GetActiveSource()
r=Show(s)
l=r.LookupTable
l.RGBPoints
Best,
Mathieu Westphal
On Thu, Apr 12, 2018 at 3:14 PM, Andrei Cimpoeru <
Hi Mark,
Sorry no it is not fully hooked up yet.
By default we use some heuristics to pick a sampling rate, and we have a
TODO comment in the code to hook that up for the cases when, like now, you
need better control.
Chime in if you like on this related bug report:
Yes, please provide sample dataset so we can take a look.
Best,
Mathieu Westphal
On Thu, Apr 12, 2018 at 4:20 PM, Michael Jackson <
mike.jack...@bluequartz.net> wrote:
> Thanks for the data. The difference was that your data was point based
> where ours was Cell based. I ran the Cell data to
Thanks for the data. The difference was that your data was point based where
ours was Cell based. I ran the Cell data to Point Data filter and then was able
to successfully run the 2 Rock filters. The results were not as I expected.
Some of our “Features” are getting exploded down to the pixel
So the issue is related to when you export an animation as a bunch of images
and when the options dialog window comes up you change the resolution of the
output image to some custom value which forces the rendering portion of the
window to become smaller. What I did to work-around the issue is
What kind of data do I need to have in order to use both of the new Digital
Rock Physics Filters? I ask because I would like to reproduce the screen shots
from the ParaView 5.5.0 release notes but with our own data. Our current data
set is an Image data where we have a Scalar value called
Hi ,
I am currently working with Paraview and deep learning models. I have
created a set of images (.png) using Paraview. The images are related to
the pressure field around a wing. When I load images back to Paraview all I
can visualise are the RGB values.
*When the image are exported from
Dear Klaus,
You should be able to compile ParaView with Python 3.6 support, and then
load the paraview module and start displaying sources, filters and views
within your project.
Once you are able to do that, you could use a ProgrammableSource to display
your numpy arrays. You can "transfer"
Hi,
currently I'm struggling with the following problem:
I've a complex Python 3.6 (miniconda, windows 10) project which generates 3D
point clouds (stored in numpy arrays).
Now I want to use ParaView as a frontend for my application and I wanted to ask
if this is possible or if somebody already
