[Brains-users] Problems with tissue class models and linux paths
Greg Harris
Gregory-Harris at uiowa.edu
Mon Sep 12 10:04:30 PDT 2005
Kevin,
Note that it will "fail to create the model" if any of the
training class plug masks has zero volume (is empty).
In that case, it's the plug-picking parameters that
need special attention.
Greg Harris
Michael Kiguta wrote:
> Hi Kevin,
>
> I think what you need to do is save the segmentation script then open
> it as a nedit file. This enables you to examine all the parameters
> used in the tissue classification as well as the various file paths
> where the plugs as well as masks are stored. Examine each file path to
> ensure it is correct. The program will save and find those masks where
> you've specified they should be. I hope that helps. Any other ideas
> Helen?
>
> ../Mike
>
>>
>> Kevin Berne wrote:
>>
>>> Hello,
>>> After my request last week I have installed the recommended Brains2
>>> DEBUG 2005_09_05 as well as an up-to-date Cygwin environment. This
>>> resulted in a much smoother operation without the troublesome
>>> inability to create a standard directory. Nevertheless I have
>>> encountered more difficulties, which as a linux novice I have tried
>>> but failed to solve alone.
>>> First of all, whenever I try to run a segmentation to create a
>>> tissue model, the process fails after writing the plugs, displaying
>>> an error message expressing either the inability of creating the
>>> model or loading certain masks. This occurs in several forms
>>> whatever options I seem to choose within the dialog boxes.
>>> Furthermore, one certain error message keeps popping up whether I
>>> try to run a segmentation or a neural net, reading "Error: chgrp:
>>> invalid group `stdwkup´. I have tried to conduct my own
>>> internet-research, but since I do not have any experience with
>>> linux-based operating systems I can not make sense of what I mostly
>>> find. I would gladly appreciate any recommendations or tips anyone
>>> could give me about this particular malfunction.
>>> Thank you very much for your time,
>>> Kevin Berne
>>>
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>>
>
>
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