Hi, try this.

Visual studio.net 2005->menu bar->Tools->options->Projects and
solutions->VC++ Directories
In the dropdown list, choose Library files, and add the path of your library
"OpenThreadsWin32d.lib" into the list below.

PS: In the dropdown list, choose Executable files, you also have to make
sure that the corresponding dll file paths is in the list below.

-----Original Message-----
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] On Behalf Of Stephen Northcott
Sent: 2006?9?27? 14:40
To: [email protected]
Subject: [osg-users] Visual Studio 2005 - Stupid question.. :-)

Hello all,

I work mainly on the Mac, but am having to produce a cross platform  
version of an app I am putting together right now and have dived into  
VS 2005 expecting it to be as easy as XCode.. How wrong I was!!

I am getting a problem when trying to compile OSG, which quite a few  
others in the mailing list have had in various incarnations of Visual  
Studio, but there are no real definitive answers in the mailing list  
for VS 2005. (I have looked - honest!)

Can someone tell me how to get rid of this frustrating (and seemingly  
simple to solve) error in VS 2005...

The error I get says that  the library "OpenThreadsWin32d.lib" can't  
be found.

I have made sure that OpenThreadsWin32d.lib has compiled by building  
OpenThreads independently, and also trying to include both Producer  
and OpenThreads into the "OSG solution" in VS05, both as projects and  
also as the product files themselves, but to no avail! I must be  
missing something!

I am guessing I am just being dense with regards to how to provide  
links in VS05, but none of the explanations in the mailing list  
actually definitively show you how to get round this problem in 05.

Thanks for help on this, as I don't really want to learn VS2005  
inside out just to do this quick conversion of a command line tool to  
the PC.

Kind regards,
Stephen.

P.S @ Paul Speed, if you are reading this.. Get where you are coming  
from on the optimizaton thing. We are already doing that at the raw  
data level by culling samples based on a resolution setting. Slightly  
different approach, earlier in the data processing chain, but  
basically has the same effect as what you are suggesting.

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