PyVision: Computer Vision Toolkit

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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 14, 2017 - Support for OpenCV 3 and PyVision3...

• 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

• Download and Installation
• Getting Started
• Online API Documentation

Releases

• Release 1.1.0
• 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}}