pycv PyCV - A Computer Vision Package for Python (Incorporating Fast Training ...) PyCV is a package of C++ and Python modules implementing various algorithms that are useful in computer vision, and augments the capabilities of OpenCV. In particular, PyCV provides implementations for: - Fast training and selection of Haar-like features for a weak classifier [Pham2007b]_. This is currently the fastest method for training a face detector. It runs in just a few hours, while most existing methods run in days or weeks. - Asymmetric Online Boosting [Pham2007a]_: a variant of AdaBoost that learns incrementally using an asymmetric goal as the learning criterion. Additionally, PyCV contains many useful modules for computer vision and machine learning, specially boosting techniques, Haar-like features, and face detection. The package is primarily developed by Minh-Tri Pham, as part of his PhD research on face detection. This research is being carried out in the Centre for Multimedia & Network Technology (CeMNet), School of Computer Engineering, Nanyang Technological University, Singapore. Copyright 2007 Nanyang Technological University, Singapore. :Founding Contributors: Minh-Tri Pham <mtpham@ntu.edu.sg> -- Primary author Viet-Dung D. Hoang <hoan0008@ntu.edu.sg> -- Contributing author Tat-Jen Cham <astjcham@ntu.edu.sg> -- Supervising faculty References ---------- .. [Pham2007a] Minh-Tri Pham and Tat-Jen Cham. Online Learning Asymmetric Boosted Classifiers for Object Detection. In Proc. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'07), Minneapolis, MN, 2007. .. [Pham2007b] Minh-Tri Pham and Tat-Jen Cham. Fast Training and Selection of Haar features using Statistics in Boosting-based Face Detection. In Proc. 11th IEEE International Conference on Computer Vision (ICCV'07), Rio de Janeiro, Brazil, 2007. http://sourceforge.net/project/showfiles.php?group_id=211653&package_id=254432 Minh-Tri Pham, Viet-Dung D. Hoang 27034ae68087d126e0c70350c3fb2b1fda1694d0 0.2.1