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PyVision: Computer Vision Toolkit

Please excuse the mess. We are migrating from our sourceforge site.

Welcome to the PyVision Wiki

PyVision is an object-oriented Computer Vision Toolkit (BSD Licenses) that allows rapid prototyping and analysis of computer vision algorithms. Using python as a foundation, this package provides a simple framework that unifies the Matlab like functionality of scipy/numpy, Open Computer Vision Library (opencv), and other vision and machine learning software packages. In addition PyVision provides a set of analysis tools that allows the researcher to evaluate their algorithms in python or to export those results in csv format for analysis in Excel, R, or SAS.

##News and Announcements

• January 2, 2012 - PyVision and CSU Face Baseline tutorial at WACV...

• July 10, 2011 - PyVision and CSU Face Baseline tutorial at IJCB...

• September 7, 2010 - New Release: Pyvision 0.9.0...

• August 24, 2009 - Summer Updates: FaceL and Forums...

• September 18, 2008 - Documentation and Videos...

• March 3, 2008 - PyVision goes public...

Installation and Downloads

PyVision is currently a research project and developers are encouraged to keep up with the latest code in the git repository.

• Git Access:

  • git clone https://github.com/bolme/pyvision.git

• Preconfigured Virtual Box Development Environments (An easy way to get started)

  • CSU Optimized Correlation Filter Toolset
  • CSU Baseline Algorithms 2011

Documentation

Coming Soon...

Releases

Sourceforge Download: [http://sourceforge.net/project/showfiles.php?group_id=221814&package_id=267963 Latest Release]

• Release_0.9.1 - Get a preview of features coming in the next release.
• Release_0.9.0 - This version will support OpenCV 2.1 with the new python bindings and will also include directory structure and naming convention cleanup.
• 0.8.1 Released in July 2010 - This contains a number of bug fixes and additions and is the last release that supports OpenCV 1.0 with the swig python bindings.
• 0.8.0 Released in June 2009 - Support for FaceL.

##Credit See also Contributors.

If you use PyVision in your own research please cite this website in your publications:

@misc{Bolme:2008lq,
Author = {David S. Bolme, Stephen O'Hara},
Howpublished = {Website - http://pyvision.sourceforge.net},
Title = {PyVision - Computer Vision Toolkit}, 
Url = {http://pyvision.sourceforge.net},
Year = {2008}}