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/*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 <asbach@ient.rwth-aachen.de>
// Institute of Communications Engineering, RWTH Aachen University
// 2008-05-15, Xavier Delacour <xavier.delacour@gmail.com>
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 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;
};