For structured data, prefer the "Extract Subset" filter to the "Clip" filter. Subset works in the topological space and therefore preserves the implicitly defined geometry and topology.
Once you reduce the size to something manageable with that, (either through subrange or striding) then the filters that change representation to unstructured can be useable. The best practices chapters of the paraview guide and tutorial explain in more detail. David E DeMarle Kitware, Inc. R&D Engineer 21 Corporate Drive Clifton Park, NY 12065-8662 Phone: 518-881-4909 On Fri, Jun 6, 2014 at 3:29 AM, Dr. Roman Grothausmann < [email protected]> wrote: > Concerning the clipping of volume data when doing volume rendering is done > more precise in paraview than often necessary: even individual voxels are > clipped. With such large data this is likely not visible at all. I > therefore tried to use the vtkImplicitFunctionToImageStencil to create a > paraview plugin. Sadly so far that can only be done outside paraview. See > this thread: > http://www.paraview.org/pipermail/paraview/2013-August/028988.html > and on mantis: > http://www.paraview.org/Bug/view.php?id=14236 > > Best wishes > Roman > > > > On 02/06/14 19:11, Scott, W Alan wrote: > >> Not replying to your specific questions below, but ... you have some >> pretty large data here! It is amazing how a fairly small cell count on the >> edge of your data (for instance X axis) can become huge when you add a Y >> axis and Z axis. >> >> You have about 375 million cells. If you were able to volume render that >> on a local server, one machine, I believe you have the world's record! Wow. >> >> Generally speaking, I sort of tell people that anything around thousands >> of cells is a toy, a million is real data (and you should start thinking >> about using a cluster for a back end), and a billion is hero size and you >> want some heavy iron to deal with it. Tens of billions, and especially >> trillions, pushes state of the art. If you are volume rendering, divide >> any of these numbers by 10. >> >> By the way, exascale will be in the trillions of cells. Some of the >> greatest minds in the world are still trying to figure out how to visualize >> data of this size. >> >> Alan >> >> -----Original Message----- >> From: ParaView [mailto:[email protected]] On Behalf Of >> [email protected] >> Sent: Monday, June 02, 2014 9:42 AM >> To: [email protected] >> Subject: [EXTERNAL] [Paraview] Memory explosion and strange behaviour -- >> Linux -- 'clip' -- 360 MB file needs 60 GB ?? >> >> Hi, >> I like volume viewing in Paraview 4.1.0 so far! >> >> But, when I try to use even what I consider a rather small subset of one >> image file that I work with normally, the large memory on my large memory >> workstation still gets used up. >> >> I am using Red Hat 6 on a system with 100 GB of Ram, adn a Quadro 6000 >> graphics card. I have compiled the Paraview code that I downloaded on >> Friday. >> >> The image I loaded is saved as raw unsinged 8-bit and is 860x872x501 >> voxels i.e. about 360 MB file. If I load it and then try to apply the >> 'clip' tool, the system is unresponsive for a few minutes. If I run 'top ' >> during this process I see the memory in use expand up to 60 GB , this seems >> excessive! >> >> Then, the resulting display behaves oddly, the clipped view suddenly >> 'vanishes' after moving the view around ?? >> >> >> >> > -- > Dr. Roman Grothausmann > > Tomographie und Digitale Bildverarbeitung > Tomography and Digital Image Analysis > > Institut für Funktionelle und Angewandte Anatomie, OE 4120 > Medizinische Hochschule Hannover > Carl-Neuberg-Str. 1 > D-30625 Hannover > > Tel. +49 511 532-9574 > > _______________________________________________ > Powered by www.kitware.com > > Visit other Kitware open-source projects at http://www.kitware.com/ > opensource/opensource.html > > Please keep messages on-topic and check the ParaView Wiki at: > http://paraview.org/Wiki/ParaView > > Follow this link to subscribe/unsubscribe: > http://www.paraview.org/mailman/listinfo/paraview >
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