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119 lines
4.0 KiB
OpenEdge ABL
119 lines
4.0 KiB
OpenEdge ABL
/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// Intel License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000, Intel Corporation, all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of Intel Corporation may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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// 2004-03-16, Mark Asbach <asbach@ient.rwth-aachen.de>
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// Institute of Communications Engineering, RWTH Aachen University
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%module(package="opencv") ml
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%{
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#include <ml.h>
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#include <cxtypes.h>
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#include <cv.h>
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#include <highgui.h>
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#include "pyhelpers.h"
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#include "pycvseq.hpp"
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%}
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// include python-specific files
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%include "./nointpb.i"
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%include "./pytypemaps.i"
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%include "exception.i"
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%import "../general/cv.i"
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%include "../general/memory.i"
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%include "../general/typemaps.i"
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%newobject cvCreateCNNConvolutionLayer;
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%newobject cvCreateCNNSubSamplingLayer;
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%newobject cvCreateCNNFullConnectLayer;
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%newobject cvCreateCNNetwork;
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%newobject cvTrainCNNClassifier;
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%newobject cvCreateCrossValidationEstimateModel;
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%pythoncode
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%{
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__doc__ = """Machine Learning
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The Machine Learning library (ML) is a set of classes and functions for
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statistical classification, regression and clustering of data.
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Most of the classification and regression algorithms are implemented as classes.
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As the algorithms have different sets of features (like ability to handle missing
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measurements, or categorical input variables etc.), there is only little common
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ground between the classes. This common ground is defined by the class CvStatModel
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that all the other ML classes are derived from.
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This wrapper was semi-automatically created from the C/C++ headers and therefore
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contains no Python documentation. Because all identifiers are identical to their
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C/C++ counterparts, you can consult the standard manuals that come with OpenCV.
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"""
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%}
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%extend CvEM
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{
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PyObject * get_covs()
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{
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CvMat ** pointers = const_cast<CvMat **> (self->get_covs());
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int n = self->get_nclusters();
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PyObject * result = PyTuple_New(n);
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for (int i=0; i<n; ++i)
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{
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PyObject * obj = SWIG_NewPointerObj(pointers[i], $descriptor(CvMat *), 0);
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PyTuple_SetItem(result, i, obj);
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//Py_DECREF(obj);
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}
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return result;
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}
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}
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%ignore CvEM::get_covs;
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%include "ml.h"
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