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// 2004-03-16, Gabriel Schreiber <schreiber@ient.rwth-aachen.de>
//             Mark Asbach       <asbach@ient.rwth-aachen.de>
//             Institute of Communications Engineering, RWTH Aachen University
%{
	#include "pyhelpers.h"
	#include "pycvseq.hpp"
	#include "error.h"
%}


// direct SWIG to generate python docstrings
%feature("autodoc", 1);

// include python-specific files
%include "./nointpb.i"
%include "./pytypemaps.i"
%include "./cvshadow.i" 

// parse OpenCV headers
%include "../general/cv.i"

// Accessors for the CvMat and IplImage data structure are defined here
%include "./cvarr.i"

// Python sequence compatibility for CvSeq
%include "./cvseq.i"


%include "./imagedata.i"

// We integrate OpenCV error handling into the Python exception mechanism
%include "./error.h"


// include some wrappers to manipulate CvSeq types
%include "./pycvseq.hpp"

// aliases from #defines
%include "./cvaliases_autogen.i"
%include "./cvaliases.i"

%pythoncode 
%{

__doc__ = """
OpenCV is the Intel Open CV library, an open source effort to provide
computer vision algorithms for standard PC hardware.

This wrapper was semi-automatically created from the C/C++ headers and therefore
contains no Python documentation. Because all identifiers are identical to their
C/C++ counterparts, you can consult the standard manuals that come with OpenCV.
"""

# this tells OpenCV not to call exit() on errors but throw a python exception instead
cvRedirectError(function_ptr_generator(), void_ptr_generator(), void_ptrptr_generator())

%}