/*M/////////////////////////////////////////////////////////////////////////////////////// // // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. // // By downloading, copying, installing or using the software you agree to this license. // If you do not agree to this license, do not download, install, // copy or use the software. // // // Intel License Agreement // For Open Source Computer Vision Library // // Copyright (C) 2000, Intel Corporation, all rights reserved. // Third party copyrights are property of their respective owners. // // Redistribution and use in source and binary forms, with or without modification, // are permitted provided that the following conditions are met: // // * Redistribution's of source code must retain the above copyright notice, // this list of conditions and the following disclaimer. // // * Redistribution's in binary form must reproduce the above copyright notice, // this list of conditions and the following disclaimer in the documentation // and/or other materials provided with the distribution. // // * The name of Intel Corporation may not be used to endorse or promote products // derived from this software without specific prior written permission. // // This software is provided by the copyright holders and contributors "as is" and // any express or implied warranties, including, but not limited to, the implied // warranties of merchantability and fitness for a particular purpose are disclaimed. // In no event shall the Intel Corporation or contributors be liable for any direct, // indirect, incidental, special, exemplary, or consequential damages // (including, but not limited to, procurement of substitute goods or services; // loss of use, data, or profits; or business interruption) however caused // and on any theory of liability, whether in contract, strict liability, // or tort (including negligence or otherwise) arising in any way out of // the use of this software, even if advised of the possibility of such damage. // //M*/ // 2004-03-23, Mark Asbach // Institute of Communications Engineering, RWTH Aachen University // 2008-05-15, Xavier Delacour struct CvLSH {}; %extend IplImage { ~IplImage () { IplImage * dummy = self; cvReleaseImage (& dummy); } } %extend CvMat { ~CvMat () { CvMat * dummy = self; cvReleaseMat (& dummy); } } %extend CvMatND { ~CvMatND () { CvMatND * dummy = self; cvReleaseMatND (& dummy); } } %extend CvSparseMat { ~CvSparseMat () { CvSparseMat * dummy = self; cvReleaseSparseMat (& dummy); } } %extend CvMemStorage { ~CvMemStorage () { CvMemStorage * dummy = self; cvReleaseMemStorage (& dummy); } } %extend CvGraphScanner { ~CvGraphScanner () { CvGraphScanner * dummy = self; cvReleaseGraphScanner (& dummy); } } %extend CvFileStorage { ~CvFileStorage () { CvFileStorage * dummy = self; cvReleaseFileStorage (& dummy); } } %extend IplConvKernel { ~IplConvKernel () { IplConvKernel * dummy = self; cvReleaseStructuringElement (& dummy); } } %extend CvKalman { ~CvKalman () { CvKalman * dummy = self; cvReleaseKalman (& dummy); } } %extend CvConDensation { ~CvConDensation () { CvConDensation * dummy = self; cvReleaseConDensation (& dummy); } } %extend CvHistogram { ~CvHistogram () { CvHistogram * dummy = self; cvReleaseHist (& dummy); } } %extend CvHaarClassifierCascade { ~CvHaarClassifierCascade () { CvHaarClassifierCascade * dummy = self; cvReleaseHaarClassifierCascade (& dummy); } } %extend CvPOSITObject { ~CvPOSITObject () { CvPOSITObject * dummy = self; cvReleasePOSITObject (& dummy); } } %extend CvFeatureTree { ~CvFeatureTree () { CvFeatureTree * dummy = self; cvReleaseFeatureTree (& dummy); } } %extend CvLSH { ~CvLSH () { CvLSH * dummy = self; cvReleaseLSH (& dummy); } } // string operators for some OpenCV types %extend CvScalar { const char * __str__(){ static char str[256]; snprintf(str, 256, "[%f, %f, %f, %f]", self->val[0], self->val[1], self->val[2], self->val[3]); return str; } const char * __repr__(){ static char str[256]; snprintf(str, 256, "cvScalar(%f, %f, %f, %f)", self->val[0], self->val[1], self->val[2], self->val[3]); return str; } const double __getitem__ (int index) { if (index >= 4) { #ifdef defined(SWIGPYTHON) PyErr_SetString (PyExc_IndexError, "indice must be lower than 4"); #elif defined(SWIGOCTAVE) error("indice must be lower than 4"); #endif return 0; } if (index < -4) { #ifdef defined(SWIGPYTHON) PyErr_SetString (PyExc_IndexError, "indice must be bigger or egal to -4"); #elif defined(SWIGOCTAVE) error("indice must be bigger or egal to -4"); #endif return 0; } if (index < 0) { /* negative index means from the end in python */ index = 4 - index; } return self->val [index]; } void __setitem__ (int index, double value) { if (index >= 4) { #ifdef defined(SWIGPYTHON) PyErr_SetString (PyExc_IndexError, "indice must be lower than 4"); #elif defined(SWIGOCTAVE) error("indice must be lower than 4"); #endif return; } if (index < -4) { #ifdef defined(SWIGPYTHON) PyErr_SetString (PyExc_IndexError, "indice must be bigger or egal to -4"); #elif defined(SWIGOCTAVE) error("indice must be bigger or egal to -4"); #endif return; } if (index < 0) { /* negative index means from the end in python */ index = 4 - index; } self->val [index] = value; } }; %extend CvPoint2D32f { const char * __str__(){ static char str[64]; snprintf(str, 64, "[%f %f]", self->x, self->y); return str; } const char * __repr__(){ static char str[64]; snprintf(str, 64, "cvPoint2D32f(%f,%f)", self->x, self->y); return str; } }; %extend CvPoint { const char * __str__(){ static char str[64]; snprintf(str, 64, "[%d %d]", self->x, self->y); return str; } const char * __repr__(){ static char str[64]; snprintf(str, 64, "cvPoint(%d,%d)", self->x, self->y); return str; } }; // Set up CvMat to emulate IplImage fields %{ int CvMat_cols_get(CvMat * m){ return m->cols; } void CvMat_cols_set(CvMat * m, int cols){ m->cols = cols; } int CvMat_rows_get(CvMat *m){ return m->rows; } void CvMat_rows_set(CvMat *m, int rows){ m->rows = rows; } int CvMat_width_get(CvMat * m){ return m->cols; } void CvMat_width_set(CvMat * m, int width){ m->cols = width; } int CvMat_height_get(CvMat *m){ return m->rows; } void CvMat_height_set(CvMat * m, int height){ m->rows = height; } int CvMat_depth_get(CvMat * m){ return cvIplDepth(m->type); } void CvMat_depth_set(CvMat *m, int depth){ cvError(CV_StsNotImplemented, "CvMat_depth_set", "Not Implemented", __FILE__, __LINE__); } int CvMat_nChannels_get(CvMat * m){ return CV_MAT_CN(m->type); } void CvMat_nChannels_set(CvMat *m, int nChannels){ int depth = CV_MAT_DEPTH(m->type); m->type = CV_MAKETYPE(depth, nChannels); } int CvMat_origin_get(CvMat * m){ /* Always 0 - top-left origin */ return 0; } void CvMat_origin_set(CvMat * m, int origin){ cvError(CV_StsNotImplemented, "CvMat_origin_get", "IplImage is replaced by CvMat in Python, so its fields are read-only", __FILE__, __LINE__); } int CvMat_dataOrder_get(CvMat * m){ cvError(CV_StsNotImplemented, "CvMat_dataOrder_get", "Not Implemented", __FILE__, __LINE__); return 0; } void CvMat_dataOrder_set(CvMat * m, int dataOrder){ cvError(CV_StsNotImplemented, "CvMat_dataOrder_get", "IplImage is replaced by CvMat in Python, so its fields are read-only", __FILE__, __LINE__); } int CvMat_imageSize_get(CvMat * m){ int step = m->step ? m->step : CV_ELEM_SIZE(m->type) * m->cols; return step*m->rows; } void CvMat_imageSize_set(CvMat * m, int imageSize){ cvError(CV_StsNotImplemented, "CvMat_imageSize_set", "IplImage is not implemented in Python, so origin is read-only", __FILE__, __LINE__); } int CvMat_widthStep_get(CvMat * m){ return m->step; } void CvMat_widthStep_set(CvMat *m, int widthStep){ m->step = widthStep; } %} %extend CvMat { int depth; int nChannels; int dataOrder; int origin; int width; int height; int imageSize; int widthStep; // swig doesn't like the embedded union in CvMat, so re-add these int rows; int cols; };