Fork of the Python pymeanshift module for segmenting images using the mean shift algorithm.
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clememic/pymeanshift
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PYMEANSHIFT Python Module for Mean Shift Image Segmentation By Frederic Jean, 2012 Table of Contents: 1. Prerequisites 2. Install 3. Implementation Notes ------------------------------------------------------------------------------ 1. PREREQUISITES ------------------------------------------------------------------------------ See http://code.google.com/p/pymeanshift/wiki/Install for the lastest prerequisites. You need to have the following installed on your computer: * Python development headers and Numpy. - On Debian-based (ex. Ubuntu) Linux distributions, this is provided by the package python-dev; - On Redhat-based Linux distributions (ex. Fedora), this is provided by the package python-devel; - On Windows, the Python headers can be installed during the Python installation process. * (Windows only): Visual C++ 2008 Express Edition with SP1. (http://www.microsoft.com/visualstudio/en-us/products/2008-editions/express) ------------------------------------------------------------------------------ 2. INSTALL ------------------------------------------------------------------------------ See http://code.google.com/p/pymeanshift/wiki/Install for the lastest install instructions. * The Python extension can be compiled as follows: - For Linux and Mac OSX (in a terminal window): ./setup.py build - For Windows (command prompt): python setup.py build * The wrapper module and the extension can be installed as follows (you might need admin privileges): - For Linux and Mac OSX (in a terminal window): sudo ./setup.py install - For Windows (command prompt): python setup.py install Add the option "--user" if you only want to install it for the current user. * If everything went fine, you should be able to import the pymeanshift module in your Python code. The module consists in one function named "segment" and a class named "Segmenter". In your Python code: import pymeanshift as pms ------------------------------------------------------------------------------ 3. IMPLEMENTATION NOTES ------------------------------------------------------------------------------ See http://code.google.com/p/pymeanshift/wiki/ImplementationNotes for the lastest implementation notes. The mean shift algorithm and its C++ implementation are by Chris M. Christoudias and Bogdan Georgescu. This Python module merely provides the "glue" that is necessary in order to use the C++ implementation with OpenCV in Python. The authors' C++ implementation is located in the following files: ms.h ms.cpp msImageProcessor.cpp msImageProcessor.h RAList.cpp RAList.h rlist.cpp rlist.h tdef.h See the file MSReadme.txt for more information. These files were obtained from the Blepo computer vision library. Blepo is available at http://www.ces.clemson.edu/~stb/blepo/ For details on the algorithm, see the following paper: D. Comanicu, P. Meer: "Mean shift: A robust approach toward feature space analysis". IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, no. 5, May 2002.
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