Quickly install OpenCV 2.4 (+ python) on OS X and try the sample

#Check OS X standard python
$ which python 
/usr/bin/python

$ sudo port -v install opencv +python27 
・ ・ ・ The result is omitted.I was able to install it in about 10 minutes in my environment ...

#Make sure OS X standard python hasn't changed
$ which python
/usr/bin/python
$ python --version
Python 2.7.2

#Check the installed python.MacPorts directory( /opt/local/bin )Under
$ which python2.7
/opt/local/bin/python2.7

#Apparently python2.It seems that the command is passing by the name of 7. 
$ python2.7 --version
Python 2.7.5

#Check the OpenCV library path
#python2 installed by port.It seems that it is installed under the influence of 7
$ ls -l /opt/local/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/cv2.so
-rwxr-xr-x  1 root  wheel  1579428  9 16 23:36 /opt/local/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/cv2.so

$ python2.7
Python 2.7.5 (default, Aug  1 2013, 01:01:17) 
[GCC 4.2.1 Compatible Apple Clang 4.1 ((tags/Apple/clang-421.11.66))] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import cv2
>>> 
#Judging that the installation was successful because there was no error when importing the cv2 library

#Try running the sample program distributed by the developer official
#   http://sourceforge.net/projects/opencvlibrary/files/
$ python2.7 opencv-2.4.6/samples/python2/find_obj.py

Feature-based image matching sample.

USAGE
  find_obj.py [--feature=<sift|surf|orb>[-flann]] [ <image1> <image2> ]

  --feature  - Feature to use. Can be sift, surf of orb. Append '-flann' to feature name
                to use Flann-based matcher instead bruteforce.

  Press left mouse button on a feature point to see its mathcing point.

using sift
img1 - 604 features, img2 - 969 features
matching...
75 / 80  inliers/matched

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