Source Code for Module pycv.info

 1  # PyCV - A Computer Vision Package for Python Incorporating Fast Training of Face Detection 
 2   
 3  # Copyright 2007 Nanyang Technological University, Singapore. 
 4  # Authors: Minh-Tri Pham, Viet-Dung D. Hoang, and Tat-Jen Cham. 
 5   
 6  # This file is part of PyCV. 
 7   
 8  # PyCV is free software: you can redistribute it and/or modify 
 9  # it under the terms of the GNU General Public  
10  # License as published by the Free Software Foundation, either version  
11  # 3 of the License, or (at your option) any later version. 
12   
13  # PyCV is distributed in the hope that it will be useful, 
14  # but WITHOUT ANY WARRANTY; without even the implied warranty of 
15  # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the 
16  # GNU General Public License for more details. 
17   
18  # You should have received a copy of the GNU General Public License 
19  # along with this program.  If not, see <http://www.gnu.org/licenses/>. 
20   
21  # --------------------------------------------------------------------- 
22  #!/usr/bin/env python 
23   
24  """PyCV - A Computer Vision Package for Python Incorporating Fast Training of Face Detection 
25   
26  PyCV is a package of C++ and Python modules implementing various algorithms  
27  that are useful in computer vision, and augments the capabilities of OpenCV.  
28  In particular, PyCV provides implementations for: 
29   
30  - Fast training and selection of Haar-like features for a weak classifier  
31    [Pham2007b]_.  This is currently the world's fastest method for training a  
32    face detector. It runs in just a few hours, while most existing methods run  
33    in days or weeks. 
34  - Asymmetric Online Boosting [Pham2007a]_: a variant of AdaBoost that learns  
35    incrementally using an asymmetric goal as the learning criterion.  
36   
37  Additionally, PyCV contains many useful modules for computer vision and  
38  machine learning, specially boosting techniques, Haar-like features, and face  
39  detection. 
40   
41   
42  .. [Pham2007a] Minh-Tri Pham and Tat-Jen Cham. Online Learning Asymmetric  
43     Boosted Classifiers for Object Detection. In Proc. IEEE Computer Society  
44     Conference on Computer Vision and Pattern Recognition (CVPR'07),  
45     Minneapolis, MN, 2007. 
46  .. [Pham2007b] Minh-Tri Pham and Tat-Jen Cham. Fast Training and Selection of  
47     Haar features using Statistics in Boosting-based Face Detection. In Proc.  
48     11th IEEE International Conference on Computer Vision (ICCV'07), Rio de  
49     Janeiro, Brazil, 2007. 
50   
51  """ 
52   
53  # For more help: http://projects.scipy.org/scipy/numpy/wiki/DistutilsDoc 
54  #global_symbols = ['ScipyTest','NumpyTest'] 
55  #depends = ['core'] 
56