Extract Subset with a stride of 5,5,5 will do a raw down-sampling. You may want to write out the smaller dataset to a new set of files because IO of each timestep is probably the biggest bottleneck and downsampling happens only after IO.<br>
<br clear="all">David E DeMarle<br>Kitware, Inc.<br>R&D Engineer<br>28 Corporate Drive<br>Clifton Park, NY 12065-8662<br>Phone: 518-371-3971 x109<br>
<br><br><div class="gmail_quote">On Mon, Nov 22, 2010 at 5:45 AM, Nicholas Yue <span dir="ltr"><<a href="mailto:yue.nicholas@gmail.com">yue.nicholas@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin: 0pt 0pt 0pt 0.8ex; border-left: 1px solid rgb(204, 204, 204); padding-left: 1ex;">
Hi,<br>
<br>
I have a collection of datasets that is 500 x 500 x 100 scalar and vector<br>
<br>
I can load them in Paraview but it is difficult to work with (slow).<br>
<br>
What filter would you recommend to sub/re-sample the inputs to a smaller amount e.g. (100 x 100 x 20), so as to get a quick visualization (interactive) of the datasets?<br>
<br>
Regards<br>
<br>
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