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VTK README


















Welcome To The Visualization Toolkit


    



Introduction


VTK is an open-source software system for image processing, 3D graphics,
volume rendering and visualization. VTK includes many advanced algorithms
(e.g., surface reconstruction, implicit modelling, decimation) and rendering
techniques (e.g., hardware-accelerated volume rendering, LOD control).


VTK is used by academicians for teaching and research; by government research
institutions such as Los Alamos National Lab in the US or CINECA in Italy; and
by many commercial firms who use VTK to build or extend products.


The origin of VTK is with the textbook "The Visualization Toolkit, an
Object-Oriented Approach to 3D Graphics" originally published by 
Prentice Hall and now published by Kitware, Inc. (Third Edition 
ISBN 1-930934-07-6). VTK has grown (since its initial release in 1994)
to a world-wide user base in the commercial, academic, and research 
communities.


This README is written for VTK version 5.0 and greater. For more information,
additional resources, and the FAQ see the web page at 
http://www.vtk.org





Copyright Notice


VTK has a generous open-source copyright modelled after the BSD license. Yes,
you can use VTK in commercial products. The complete text of the
copyright follows.


Copyright (c) 1993-2005 Ken Martin, Will Schroeder, Bill Lorensen
All rights reserved.

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:

 * Redistributions of source code must retain the above copyright notice,
   this list of conditions and the following disclaimer.

 * Redistributions in binary form must reproduce the above copyright notice,
   this list of conditions and the following disclaimer in the documentation
   and/or other materials provided with the distribution.

 * Neither name of Ken Martin, Will Schroeder, or Bill Lorensen nor the names
   of any contributors may be used to endorse or promote products derived
   from this software without specific prior written permission.

 * Modified source versions must be plainly marked as such, and must not be
   misrepresented as being the original software.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS ``AS IS''
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
ARE DISCLAIMED. IN NO EVENT SHALL THE AUTHORS OR CONTRIBUTORS BE LIABLE FOR
ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.






Organization

The VTK source code repository is organized into four major sections.
  
    

  
  • The toolkit source code is found in the following directories
      next to this README.  In some cases an additional README.html
      file may be found in the named directory. Please see these for
      more information.
         
      
         
    • Common- Core classes commonly used by other kits
         
    • Filtering- Data pipeline implementation superclasses
         
    • Rendering- Classes used to render a scene (surface primitives)
         
    • Graphics- Filters that process 3D data
         
    • Imaging- Specialized image processing filters (2D & 3D)
         
    • Infovis- Classes for information visualization
         
    • IO- Classes for reading and writing data
         
    • Views- Classes for application-level views
         
    • VolumeRendering- Classes for rendering volume data
         
    • Hybrid- Complex classes that depend on imaging and graphics
         
    • Widgets- Classes for interacting with the objects in the scene
         
    • Parallel- Parallel processing support such as MPI
         
    • GenericFiltering- Part of an adaptor framework
         supporting integration of VTK with external systems
         
    
         
    • 
  
  • Examples that are reasonably well documented are found in the
         VTK/Examples directory. You may wish to start with the examples
         found in the Tutorial directory.
    • 
  
  • The Utilities directory includes things like jpeg, png, 
         and zlib source code. This code is used by VTK in various ways 
         (reading/writing data, etc.)
    • 
  
  • The Wrapping directory contains code related to VTK's automated
         wrapping process. The wrapping process automatically generates
         Tcl, Python, and/or Java bindings depending on how the build
         process is configured.
    • 
  


There are hundreds of testing examples located in the Testing/ directory
under each source code directory (e.g., Graphics/Testing). These are 
undocumented tests but can be helpful in some cases.






Documentation


The ideal way to learn about the software is from two books: 
The Visualization Toolkit, An Object-Oriented Approach to 3D Graphics
and The VTK User's Guide both published by Kitware, Inc. (Note:
The Visualization Toolkit was originally published by Prentice-Hall,
the third edition is published by Kitware.)
You may order the books from the following locations (Amazon.com also
carries the books.)

  The Visualization Toolkit, An Object-Oriented Approach to 3D Graphics (Third Edition)
  by Will Schroeder, Ken Martin and Bill Lorensen.
  Kitware, Inc.,
  ISBN 1-930934-07-6
  http://www.kitware.com/products/vtktextbook.html

  The VTK User's Guide (VTK 4.2 Edition)
  Kitware, Inc.,
  ISBN 1-930934-08-4
  http://www.kitware.com/products/vtkguide.html



On-line Doxygen man pages are also available at

http://www.vtk.org/doc/nightly/html/





Compilation




The Visualization Toolkit can be built on UNIX, PC (Windows
95/98/NT/2000/XP), and Mac OSX Jaguar (or greater) systems.  VTK uses
CMake to generate its build system.
To build VTK one must first install CMake version 2.0 or higher.
CMake may be downloaded from http://www.cmake.org/HTML/Download.html.
The instructions below cover the basics of running CMake for VTK under
the assumption that CMake is already installed.  See the CMake web
page for details on
  intalling and
  running CMake.


Compiling VTK requires a complete VTK source tree.  Running VTK tests
requires a complete VTK data tree.  Now is the time to extract the
source and data archives if one has not done so already.  These
instructions assume there is a directory "VTK" containing
the source code and optionally a sibling directory
"VTKData" containing the data.




Building with CMake


CMake must be run to generate a build system for VTK.  The build
system may be placed either in the VTK source tree (an
in-source build) or in a separate binary tree (an
out-of-source build).  We strongly encourage use of
out-of-source builds because they make it easy to have multiple builds
with different configurations sharing the same source tree.  Once a
single in-source build has been created it is the only build tree that
can be associated with that source tree.  A source tree may not be
used both for an in-source build and an out-of-source build, but any
number of out-of-source builds may share a source tree that does not
have an in-source build.  Having multiple out-of-source builds is
particularly useful for installing VTK on multiple architectures using
a single source tree on a shared disk.


CMake provides both a command-line tool and interactive interfaces.
Advanced users may wish to use the command-line tool but here we
document the CMake interactive interface for each platform:





Configuration Options in CMake


VTK is a large toolkit providing a wide variety of functionality.
Several configuration options are available to customize the VTK build
system.  These options are configured through an interactive CMake
interface as described above.  Note that not
all options are available on all platforms, and some options are
available only when other options are set to a particular value.


The interactive CMake interface provides brief documentation for every
option.  Some options have more meaning than can be described in one
sentence, so additional documentation is provided here:




    
  
  • BUILD_SHARED_LIBS
    
    
    
    Sets whether the compiled VTK libraries will be shared libraries
    or static libraries.  When linking executables against static
    libraries the needed symbols will be copied from the libraries
    into the executables enabling them to run without access to the
    original libraries.  When linking executables against shared
    libraries references to the symbols are placed into the
    executables.  This has the advantage that many executables can
    share a large library without producing many copies of its code.
    
    
    
    
    Shared libraries have the disadvantage that they must be found at
    runtime in order for an executable to run.  Each operating system
    supporting shared libraries has a component known as the
    dynamic loader.  This component is responsible for finding
    the shared libraries needed by an executable when it is run.  In
    order to run VTK executables from the build tree when using shared
    libraries one may need to help the dynamic loader find the
    libraries (usually the bin subdirectory of the build tree).
    
    
    
    
    On Windows, the dynamic loader will look for shared libraries in
    the directory containing the executable, in directories listed in
    the PATH environment variable, and in some system directories.
    Since VTK places all of its executables and libraries in the same
    directory nothing needs to be set to get them to run.  However,
    when one builds outside projects against VTK the PATH environment
    variable must be set to point at the directory containing the VTK
    shared libraries.
    
    
    
    
    On UNIX-style platforms, the dynamic loader will use an
    environment variable such as LD_LIBRARY_PATH (Linux and many UNIX
    systems) or DYLD_LIBRARY_PATH (Mac OSX) to look for shared
    libraries.  In order to run VTK executables from the build tree
    one must set the appropriate environment variable to point at the
    directory containing the VTK shared libraries.  The same environment
    setting must be used for running outside projects build against the
    shared VTK libraries.
    
    
  
    • 

  
  • VTK_WRAP_TCL
    

    
    
    Enable/Disable automatic generation of VTK bindings in the Tcl
    language.  In order to build the Tcl-based VTK interpreter one
    will need to have Tcl and Tk version 8.2 or newer. Look to

      http://www.tcl.tk

    for information about getting Tcl and Tk. To turn on Tcl wrapping,
    set VTK_WRAP_TCL to ON during the configuration process.  One may
    then have to set the values for Tcl/Tk include directories and
    libraries during the next CMake configure iteration.  If there is
    more than one version of Tcl installed on the computer, make sure
    all the TCL_* and TK_* configuration options are set consistently
    to use the proper version.  This is especially important when
    Cygwin is installed because the Cygwin Tcl will not work for a
    native Windows VTK build and a Windows Tcl will not work for a
    Cygwin VTK build.  When building the Tcl/Tk wrappers on Cygwin one
    must also install the Cygwin sources for Tcl/Tk and set
    TK_XLIB_PATH to "/usr/src/tcltk-20030901-1/tk/xlib" or the
    corresponding directory for one's Cygwin Tcl version.  See

      Wrapping/Tcl/README

    for details on using the Tcl wrappers once they are built.
    
    
  
    • 

  
  • VTK_WRAP_PYTHON
    

    
    
    Enable/Disable automatic generation of VTK bindings in the Python
    language.  In order to build the Python-based VTK interpreter one
    will need to have Python installed. Look to

      http://www.python.org

    for information about getting Python.  To turn on Python wrapping,
    set VTK_WRAP_PYTHON and BUILD_SHARED_LIBS to ON during the
    configuration process.  One may then have to set the values for
    Python include directories and libraries during the next CMake
    configure iteration.  If there is more than one version of Python
    installed on the computer, make sure all the PYTHON_*
    configuration options are set consistently to use the proper
    version.  This is especially important when Cygwin is installed
    because the Cygwin Python will not work for a native Windows VTK
    build and a Windows Python will not work for a Cygwin VTK build.
    In order to use Tkinter with VTK-Python make sure that the Tcl/Tk
    libraries that are set correspond to the same version used by
    Tkinter.
    
    
    
    
    Note that the VTK-Python modules are now installed by default via
    'make install', which is a change from previous VTK versions.  The
    automatic python module installation is highly configurable. The
    Wrapping/Python/README.txt
    file documents the installation procedure and the VTK-Python
    modules.
    
    
  
    • 

  
  • CMAKE_INSTALL_PREFIX
    
    
    
    When VTK is installed all files are
    placed in a directory structure rooted at the directory specified
    by CMAKE_INSTALL_PREFIX.
    
    
  
    • 






Installation


Installing VTK from a source distribution requires first that it be
compiled in a build tree.  See the compilation section above for details.  Once
VTK has been compiled in a build tree one may build the install
target to actually put VTK in an installation tree.  If VTK was built
using a CMake Makefile generator then this is done by running "make
install" from the top of the build tree.  If VTK was built using a
CMake project file generator (such as Visual Studio), then building
the INSTALL project from inside the IDE will install VTK.  The
installation process will install all files in a directory structure
rooted at the directory specified by CMAKE_INSTALL_PREFIX.







Common Problems

  
    
  
  • Strange compile errors on UNIX, typically involving system
      headers and types. Make sure that you specify the environment
      variables CC and CXX prior to running CMake.  If you have
      already run CMake you must create a fresh build-tree and start
      again.  If you ran CMake in the source tree then you must delete
      the source tree, re-extract the sources, and start again.
  
  • Errors on Tcl or Tk include files or libraries. Make sure that
      you set the TCL_* and TK_* configuration variables to the
      correct location when running CMake.
  
  • Link errors on Windows platforms. Make sure that the swap space is
      at least 300 MByte.
  
  • Link error with borland: TCL82.LIB contains invalid OMF record, 
      type 0x21 (possibly COFF). You have to convert Tcl libraries
      from coff to omf with the Borland utilitiy coff2omf. Once you 
      have created OMF versions, re-run cmake to tell it where the Borland
      versions of Tcl and Tk are located. Also, make sure that you are using
      Tcl/Tk 8.3.2.
  





Getting Data and Test Images


Many of the examples require data. There are two ways to get data. The
first is to download the file VTKData.tgz. The second is to access the
data via CVS checkout. The CVS checkout also includes many test images
used by the testing process (see http://public.kitware.com/dashboard.php).
These can be used if you wish to test VTK or submit testing dashboards. 
The VTKData.tgz contains only data in compressed form is therefore can
be obtained much faster.


  1) Download the data at ftp://public.kitware.com/pub/vtk/VTKData.tgz

  2) Checkout the data from CVS using the following commands:
     cvs -d :pserver:anoncvs@www.vtk.org:/cvsroot/VTK login
        (there is no password...just press enter)
     cvs -d :pserver:anoncvs@www.vtk.org:/cvsroot/VTK checkout VTKData






Running VTK


Many C++ examples will be compiled if BUILD_TESTING and/or
BUILD_EXAMPLES are enabled in CMake. To run these C++ examples just
type their name. (They will be found in the binary build directory.)
If you have built shared libraries, make sure the PATH environment
variable (Windows) or the LD_LIBRARY_PATH (Unix) point to the shared
libraries (see above documentation of the BUILD_SHARED_LIBS for
details).

If you have enabled Tcl wrapping, you will want to set TCLLIBPATH to point to
the VTK/Wrapping/Tcl directory and check the instructions located in the Wrapping/Tcl/README file. You will then run
the VTK executable found in the bin directory where the code was
compiled. Assuming that the executable VTK is in your path, or has been
aliased, you would type:

  vtk mace.tcl 


Note that most Tcl scripts allow you to type "u" in the render window to
obtain an interpreter. You can use the interpreter to modify the application
at run-time.



If you have enabled Python Wrapping you should read the instructions
located in the Wrapping/Python/README.txt file.






Writing Your Own Class
 There are several ways to
extend VTK. The simplest way is, in your own code, create classes that
inherit from the appropriate VTK classes.  Please see the
vtkLocal example
for instructions to build your classes outside VTK.




Getting Help / Mailing List
 
For general information go to the VTK web site
http://www.vtk.org


If you run into problems, your best bet is to join the VTK mailing list.
Visit 
http://www.vtk.org/mailman/listinfo/vtkusers to join the list.


Commercial support contracts are available from Kitware at

http://www.kitware.com/products/vtksupport.html.


Kitware also provides consulting services. Read more at

http://www.kitware.com/products/consult.html.


Training is also available from Kitware. See

http://www.kitware.com/products/vtktrain.html.

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