237 lines
8.4 KiB
OpenEdge ABL
237 lines
8.4 KiB
OpenEdge ABL
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/*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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