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Open Source Computer Vision Library
https://opencv.org/
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236 lines
8.4 KiB
236 lines
8.4 KiB
/*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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// 2004-03-23, Mark Asbach <asbach@ient.rwth-aachen.de> |
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// Institute of Communications Engineering, RWTH Aachen University |
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// 2008-05-15, Xavier Delacour <xavier.delacour@gmail.com> |
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struct CvLSH {}; |
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%extend IplImage { ~IplImage () { IplImage * dummy = self; cvReleaseImage (& dummy); } } |
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%extend CvMat { ~CvMat () { CvMat * dummy = self; cvReleaseMat (& dummy); } } |
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%extend CvMatND { ~CvMatND () { CvMatND * dummy = self; cvReleaseMatND (& dummy); } } |
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%extend CvSparseMat { ~CvSparseMat () { CvSparseMat * dummy = self; cvReleaseSparseMat (& dummy); } } |
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%extend CvMemStorage { ~CvMemStorage () { CvMemStorage * dummy = self; cvReleaseMemStorage (& dummy); } } |
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%extend CvGraphScanner { ~CvGraphScanner () { CvGraphScanner * dummy = self; cvReleaseGraphScanner (& dummy); } } |
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%extend CvFileStorage { ~CvFileStorage () { CvFileStorage * dummy = self; cvReleaseFileStorage (& dummy); } } |
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%extend IplConvKernel { ~IplConvKernel () { IplConvKernel * dummy = self; cvReleaseStructuringElement (& dummy); } } |
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%extend CvKalman { ~CvKalman () { CvKalman * dummy = self; cvReleaseKalman (& dummy); } } |
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%extend CvHistogram { ~CvHistogram () { CvHistogram * dummy = self; cvReleaseHist (& dummy); } } |
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%extend CvHaarClassifierCascade { ~CvHaarClassifierCascade () { CvHaarClassifierCascade * dummy = self; cvReleaseHaarClassifierCascade (& dummy); } } |
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%extend CvPOSITObject { ~CvPOSITObject () { CvPOSITObject * dummy = self; cvReleasePOSITObject (& dummy); } } |
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%extend CvFeatureTree { ~CvFeatureTree () { CvFeatureTree * dummy = self; cvReleaseFeatureTree (& dummy); } } |
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%extend CvLSH { ~CvLSH () { CvLSH * dummy = self; cvReleaseLSH (& dummy); } } |
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// string operators for some OpenCV types |
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%extend CvScalar |
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{ |
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const char * __str__(){ |
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static char str[256]; |
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snprintf(str, 256, "[%f, %f, %f, %f]", self->val[0], self->val[1], self->val[2], self->val[3]); |
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return str; |
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} |
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const char * __repr__(){ |
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static char str[256]; |
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snprintf(str, 256, "cvScalar(%f, %f, %f, %f)", self->val[0], self->val[1], self->val[2], self->val[3]); |
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return str; |
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} |
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const double __getitem__ (int index) { |
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if (index >= 4) { |
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#ifdef defined(SWIGPYTHON) |
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PyErr_SetString (PyExc_IndexError, "indice must be lower than 4"); |
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#elif defined(SWIGOCTAVE) |
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error("indice must be lower than 4"); |
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#endif |
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return 0; |
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} |
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if (index < -4) { |
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#ifdef defined(SWIGPYTHON) |
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PyErr_SetString (PyExc_IndexError, "indice must be bigger or egal to -4"); |
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#elif defined(SWIGOCTAVE) |
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error("indice must be bigger or egal to -4"); |
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#endif |
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return 0; |
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} |
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if (index < 0) { |
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/* negative index means from the end in python */ |
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index = 4 - index; |
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} |
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return self->val [index]; |
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} |
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void __setitem__ (int index, double value) { |
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if (index >= 4) { |
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#ifdef defined(SWIGPYTHON) |
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PyErr_SetString (PyExc_IndexError, "indice must be lower than 4"); |
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#elif defined(SWIGOCTAVE) |
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error("indice must be lower than 4"); |
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#endif |
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return; |
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} |
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if (index < -4) { |
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#ifdef defined(SWIGPYTHON) |
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PyErr_SetString (PyExc_IndexError, "indice must be bigger or egal to -4"); |
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#elif defined(SWIGOCTAVE) |
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error("indice must be bigger or egal to -4"); |
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#endif |
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return; |
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} |
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if (index < 0) { |
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/* negative index means from the end in python */ |
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index = 4 - index; |
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} |
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self->val [index] = value; |
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} |
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}; |
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%extend CvPoint2D32f |
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{ |
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const char * __str__(){ |
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static char str[64]; |
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snprintf(str, 64, "[%f %f]", self->x, self->y); |
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return str; |
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} |
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const char * __repr__(){ |
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static char str[64]; |
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snprintf(str, 64, "cvPoint2D32f(%f,%f)", self->x, self->y); |
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return str; |
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} |
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}; |
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%extend CvPoint |
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{ |
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const char * __str__(){ |
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static char str[64]; |
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snprintf(str, 64, "[%d %d]", self->x, self->y); |
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return str; |
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} |
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const char * __repr__(){ |
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static char str[64]; |
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snprintf(str, 64, "cvPoint(%d,%d)", self->x, self->y); |
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return str; |
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} |
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}; |
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// Set up CvMat to emulate IplImage fields |
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%{ |
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int CvMat_cols_get(CvMat * m){ |
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return m->cols; |
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} |
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void CvMat_cols_set(CvMat * m, int cols){ |
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m->cols = cols; |
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} |
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int CvMat_rows_get(CvMat *m){ |
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return m->rows; |
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} |
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void CvMat_rows_set(CvMat *m, int rows){ |
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m->rows = rows; |
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} |
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int CvMat_width_get(CvMat * m){ |
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return m->cols; |
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} |
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void CvMat_width_set(CvMat * m, int width){ |
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m->cols = width; |
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} |
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int CvMat_height_get(CvMat *m){ |
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return m->rows; |
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} |
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void CvMat_height_set(CvMat * m, int height){ |
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m->rows = height; |
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} |
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int CvMat_depth_get(CvMat * m){ |
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return cvIplDepth(m->type); |
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} |
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void CvMat_depth_set(CvMat *m, int depth){ |
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cvError(CV_StsNotImplemented, "CvMat_depth_set", "Not Implemented", __FILE__, __LINE__); |
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} |
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int CvMat_nChannels_get(CvMat * m){ |
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return CV_MAT_CN(m->type); |
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} |
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void CvMat_nChannels_set(CvMat *m, int nChannels){ |
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int depth = CV_MAT_DEPTH(m->type); |
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m->type = CV_MAKETYPE(depth, nChannels); |
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} |
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int CvMat_origin_get(CvMat * m){ |
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/* Always 0 - top-left origin */ |
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return 0; |
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} |
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void CvMat_origin_set(CvMat * m, int origin){ |
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cvError(CV_StsNotImplemented, "CvMat_origin_get", "IplImage is replaced by CvMat in Python, so its fields are read-only", __FILE__, __LINE__); |
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} |
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int CvMat_dataOrder_get(CvMat * m){ |
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cvError(CV_StsNotImplemented, "CvMat_dataOrder_get", "Not Implemented", __FILE__, __LINE__); |
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return 0; |
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} |
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void CvMat_dataOrder_set(CvMat * m, int dataOrder){ |
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cvError(CV_StsNotImplemented, "CvMat_dataOrder_get", "IplImage is replaced by CvMat in Python, so its fields are read-only", __FILE__, __LINE__); |
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} |
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int CvMat_imageSize_get(CvMat * m){ |
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int step = m->step ? m->step : CV_ELEM_SIZE(m->type) * m->cols; |
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return step*m->rows; |
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} |
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void CvMat_imageSize_set(CvMat * m, int imageSize){ |
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cvError(CV_StsNotImplemented, "CvMat_imageSize_set", "IplImage is not implemented in Python, so origin is read-only", __FILE__, __LINE__); |
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} |
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int CvMat_widthStep_get(CvMat * m){ |
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return m->step; |
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} |
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void CvMat_widthStep_set(CvMat *m, int widthStep){ |
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m->step = widthStep; |
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} |
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%} |
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%extend CvMat |
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{ |
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int depth; |
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int nChannels; |
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int dataOrder; |
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int origin; |
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int width; |
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int height; |
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int imageSize; |
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int widthStep; |
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// swig doesn't like the embedded union in CvMat, so re-add these |
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int rows; |
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int cols; |
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};
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