535 lines
18 KiB
OpenEdge ABL
535 lines
18 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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// 2006-02-17 Roman Stanchak <rstancha@cse.wustl.edu>
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// 2006-07-19 Moved most operators to general/cvarr_operators.i for use with other languages
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// 2009-01-07 Added numpy array interface, Mark Asbach <asbach@ient.rwth-aachen.de>
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/*M//////////////////////////////////////////////////////////////////////////////////////////
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// Macros for extending CvMat and IplImage -- primarily for operator overloading
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//////////////////////////////////////////////////////////////////////////////////////////M*/
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// Macro to define python function of form B = A.f(c)
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// where A is a CvArr type, c and B are arbitrary types
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%define %wrap_cvGeneric_CvArr(cname, rettype, pyfunc, argtype, cvfunc, newobjcall)
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%newobject cname::pyfunc(argtype arg);
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%extend cname {
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rettype pyfunc(argtype arg){
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rettype retarg = newobjcall;
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cvfunc;
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return retarg;
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}
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}
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%enddef
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// Macro to define python function of the form B = A.f(c)
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// where A and B are both CvArr of same size and type
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%define %wrap_cvArr_binaryop(pyfunc, argtype, cvfunc)
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%wrap_cvGeneric_CvArr(CvMat, CvMat *, pyfunc, argtype, cvfunc,
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cvCreateMat(self->rows, self->cols, self->type));
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%wrap_cvGeneric_CvArr(IplImage, IplImage *, pyfunc, argtype, cvfunc,
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cvCreateImage(cvGetSize(self), self->depth, self->nChannels));
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%enddef
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// Macro to define python function of the form A = A.f(c)
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// where f modifies A inplace
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// use for +=, etc
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%define %wrap_cvGeneric_InPlace(cname, rettype, pyfunc, argtype, cvfunc)
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%wrap_cvGeneric_CvArr(cname, rettype, pyfunc, argtype, cvfunc, self);
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%enddef
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/*M//////////////////////////////////////////////////////////////////////////////////////////
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// Macros to map operators to specific OpenCV functions
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//////////////////////////////////////////////////////////////////////////////////////////M*/
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// map any OpenCV function of form cvFunc(src1, src2, dst)
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%define %wrap_cvArith(pyfunc, cvfunc)
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%wrap_cvArr_binaryop(pyfunc, CvArr *, cvfunc(self, arg, retarg));
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%enddef
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// map any OpenCV function of form cvFunc(src1, value, dst)
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%define %wrap_cvArithS(pyfunc, cvfuncS)
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%wrap_cvArr_binaryop(pyfunc, CvScalar, cvfuncS(self, arg, retarg));
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%wrap_cvArr_binaryop(pyfunc, double, cvfuncS(self, cvScalar(arg), retarg));
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%enddef
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// same as wrap_cvArith
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%define %wrap_cvLogic(pyfunc, cvfunc)
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%wrap_cvArr_binaryop(pyfunc, CvArr *, cvfunc(self, arg, retarg))
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%enddef
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// same as wrap_cvArithS
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%define %wrap_cvLogicS(pyfunc, cvfuncS)
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%wrap_cvArr_binaryop(pyfunc, CvScalar, cvfuncS(self, arg, retarg));
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%wrap_cvArr_binaryop(pyfunc, double, cvfuncS(self, cvScalar(arg), retarg));
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%enddef
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// Macro to map logical operations to cvCmp
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%define %wrap_cvCmp(pyfunc, cmp_op)
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%wrap_cvGeneric_CvArr(CvMat, CvMat *, pyfunc, CvMat *,
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cvCmp(self, arg, retarg, cmp_op),
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cvCreateMat(self->rows, self->cols, CV_8U));
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%wrap_cvGeneric_CvArr(IplImage, IplImage *, pyfunc, IplImage *,
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cvCmp(self, arg, retarg, cmp_op),
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cvCreateImage(cvGetSize(self), 8, 1));
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%enddef
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%define %wrap_cvCmpS(pyfunc, cmp_op)
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%wrap_cvGeneric_CvArr(CvMat, CvMat *, pyfunc, double,
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cvCmpS(self, arg, retarg, cmp_op),
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cvCreateMat(self->rows, self->cols, CV_8U));
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%wrap_cvGeneric_CvArr(IplImage, IplImage *, pyfunc, double,
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cvCmpS(self, arg, retarg, cmp_op),
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cvCreateImage(cvGetSize(self), 8, 1));
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%enddef
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// special case for cvScale, /, *
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%define %wrap_cvScale(pyfunc, scale)
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%wrap_cvGeneric_CvArr(CvMat, CvMat *, pyfunc, double,
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cvScale(self, retarg, scale),
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cvCreateMat(self->rows, self->cols, self->type));
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%wrap_cvGeneric_CvArr(IplImage, IplImage *, pyfunc, double,
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cvScale(self, retarg, scale),
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cvCreateImage(cvGetSize(self), self->depth, self->nChannels));
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%enddef
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/*M//////////////////////////////////////////////////////////////////////////////////////////
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// Actual Operator Declarations
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//////////////////////////////////////////////////////////////////////////////////////////M*/
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// Arithmetic operators
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%wrap_cvArith(__radd__, cvAdd);
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// special case for reverse operations
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%wrap_cvArr_binaryop(__rsub__, CvArr *, cvSub(arg, self, retarg));
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%wrap_cvArr_binaryop(__rdiv__, CvArr *, cvDiv(arg, self, retarg));
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%wrap_cvArr_binaryop(__rmul__, CvArr *, cvMul(arg, self, retarg));
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%wrap_cvArithS(__radd__, cvAddS);
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%wrap_cvArithS(__rsub__, cvSubRS);
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%wrap_cvScale(__rmul__, arg);
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%wrap_cvLogicS(__ror__, cvOrS)
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%wrap_cvLogicS(__rand__, cvAndS)
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%wrap_cvLogicS(__rxor__, cvXorS)
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%wrap_cvCmpS(__req__, CV_CMP_EQ);
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%wrap_cvCmpS(__rgt__, CV_CMP_GT);
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%wrap_cvCmpS(__rge__, CV_CMP_GE);
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%wrap_cvCmpS(__rlt__, CV_CMP_LT);
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%wrap_cvCmpS(__rle__, CV_CMP_LE);
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%wrap_cvCmpS(__rne__, CV_CMP_NE);
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// special case for scalar-array division
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%wrap_cvGeneric_CvArr(CvMat, CvMat *, __rdiv__, double,
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cvDiv(NULL, self, retarg, arg),
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cvCreateMat(self->rows, self->cols, self->type));
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// misc operators for python
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%wrap_cvArr_binaryop(__pow__, double, cvPow(self, retarg, arg))
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// TODO -- other Python operators listed below and at:
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// http://docs.python.org/ref/numeric-types.html
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// __abs__ -- cvAbs
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// __nonzero__
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// __hash__ ??
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// __repr__ -- full string representation
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// __str__ -- compact representation
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// __call__ -- ??
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// __len__ -- number of rows? or elements?
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// __iter__ -- ??
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// __contains__ -- cvCmpS, cvMax ?
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// __floordiv__ ??
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// __mul__ -- cvGEMM
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// __lshift__ -- ??
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// __rshift__ -- ??
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// __pow__ -- cvPow
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// Called to implement the unary arithmetic operations (-, +, abs() and ~).
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//__neg__( self)
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//__pos__( self)
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//__abs__( self)
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//__invert__( self)
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// Called to implement the built-in functions complex(), int(), long(), and float(). Should return a value of the appropriate type. Can I abuse this to return an array of the correct type??? scipy only allows return of length 1 arrays.
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// __complex__( self )
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// __int__( self )
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// __long__( self )
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// __float__( self )
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/*M//////////////////////////////////////////////////////////////////////////////////////////
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// Slice access and assignment for CvArr types
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//////////////////////////////////////////////////////////////////////////////////////////M*/
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// TODO: CvMatND
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%newobject CvMat::__getitem__(PyObject * object);
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%newobject _IplImage::__getitem__(PyObject * object);
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%header %{
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int checkSliceBounds(const CvRect & rect, int w, int h){
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//printf("__setitem__ slice(%d:%d, %d:%d) array(%d,%d)", rect.x, rect.y, rect.x+rect.width, rect.y+rect.height, w, h);
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if(rect.width<=0 || rect.height<=0 ||
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rect.width>w || rect.height>h ||
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rect.x<0 || rect.y<0 ||
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rect.x>= w || rect.y >=h){
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char errstr[256];
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// previous function already set error string
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if(rect.width==0 && rect.height==0 && rect.x==0 && rect.y==0) return -1;
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sprintf(errstr, "Requested slice [ %d:%d %d:%d ] oversteps array sized [ %d %d ]",
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rect.x, rect.y, rect.x+rect.width, rect.y+rect.height, w, h);
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PyErr_SetString(PyExc_IndexError, errstr);
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//PyErr_SetString(PyExc_ValueError, errstr);
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return -1;
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}
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return 0;
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}
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%}
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// Macro to check bounds of slice and throw error if outside
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%define CHECK_SLICE_BOUNDS(rect,w,h,retval)
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if(CheckSliceBounds(&rect,w,h)==-1){ return retval; } else{}
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%enddef
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// slice access and assignment for CvMat
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%extend CvMat
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{
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char * __str__(){
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static char str[8];
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cvArrPrint( self );
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str[0]=0;
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return str;
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}
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// scalar assignment
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void __setitem__(PyObject * object, double val){
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CvMat tmp;
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CvRect subrect = PySlice_to_CvRect( self, object );
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CHECK_SLICE_BOUNDS( subrect, self->cols, self->rows, );
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cvGetSubRect(self, &tmp, subrect);
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cvSet(&tmp, cvScalarAll(val));
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}
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void __setitem__(PyObject * object, CvPoint val){
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CvMat tmp;
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CvRect subrect = PySlice_to_CvRect( self, object );
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CHECK_SLICE_BOUNDS( subrect, self->cols, self->rows, );
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cvGetSubRect(self, &tmp, subrect);
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cvSet(&tmp, cvScalar(val.x, val.y));
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}
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void __setitem__(PyObject * object, CvPoint2D32f val){
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CvMat tmp;
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CvRect subrect = PySlice_to_CvRect( self, object );
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cvGetSubRect(self, &tmp, subrect);
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CHECK_SLICE_BOUNDS( subrect, self->cols, self->rows, );
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cvSet(&tmp, cvScalar(val.x, val.y));
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}
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void __setitem__(PyObject * object, CvScalar val){
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CvMat tmp;
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CvRect subrect = PySlice_to_CvRect( self, object );
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cvGetSubRect(self, &tmp, subrect);
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CHECK_SLICE_BOUNDS( subrect, self->cols, self->rows, );
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cvSet(&tmp, val);
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}
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// array slice assignment
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void __setitem__(PyObject * object, CvArr * arr){
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CvMat tmp, src_stub, *src;
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CvRect subrect = PySlice_to_CvRect( self, object );
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CHECK_SLICE_BOUNDS( subrect, self->cols, self->rows, );
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cvGetSubRect(self, &tmp, subrect);
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// Reshape source array to fit destination
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// This will be used a lot for small arrays b/c
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// PyObject_to_CvArr tries to compress a 2-D python
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// array with 1-4 columns into a multichannel vector
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src=cvReshape(arr, &src_stub, CV_MAT_CN(tmp.type), tmp.rows);
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cvConvert(src, &tmp);
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}
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// slice access
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PyObject * __getitem__(PyObject * object){
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CvMat * mat;
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CvRect subrect = PySlice_to_CvRect( self, object );
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CHECK_SLICE_BOUNDS( subrect, self->cols, self->rows, NULL );
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if(subrect.width==1 && subrect.height==1){
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CvScalar * s;
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int type = cvGetElemType( self );
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if(CV_MAT_CN(type) > 1){
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s = new CvScalar;
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*s = cvGet2D( self, subrect.y, subrect.x );
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return SWIG_NewPointerObj( s, $descriptor(CvScalar *), 1 );
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}
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switch(CV_MAT_DEPTH(type)){
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case CV_8U:
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return PyLong_FromUnsignedLong( CV_MAT_ELEM(*self, uchar, subrect.y, subrect.x ) );
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case CV_8S:
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return PyLong_FromLong( CV_MAT_ELEM(*self, char, subrect.y, subrect.x ) );
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case CV_16U:
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return PyLong_FromUnsignedLong( CV_MAT_ELEM(*self, ushort, subrect.y, subrect.x ) );
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case CV_16S:
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return PyLong_FromLong( CV_MAT_ELEM(*self, short, subrect.y, subrect.x ) );
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case CV_32S:
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return PyLong_FromLong( CV_MAT_ELEM(*self, int, subrect.y, subrect.x ) );
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case CV_32F:
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return PyFloat_FromDouble( CV_MAT_ELEM(*self, float, subrect.y, subrect.x) );
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case CV_64F:
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return PyFloat_FromDouble( CV_MAT_ELEM(*self, double, subrect.y, subrect.x) );
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}
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}
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mat = (CvMat *) cvAlloc(sizeof(CvMat));
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cvGetSubRect(self, mat, subrect);
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// cvGetSubRect doesn't do this since it assumes mat lives on the stack
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mat->hdr_refcount = self->hdr_refcount;
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mat->refcount = self->refcount;
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cvIncRefData(mat);
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return SWIG_NewPointerObj( mat, $descriptor(CvMat *), 1 );
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}
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// ~ operator -- swig doesn't generate this from the C++ equivalent
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CvMat * __invert__(){
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CvMat * res = cvCreateMat(self->rows, self->cols, self->type);
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cvNot( self, res );
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return res;
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}
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%pythoncode %{
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def __iter__(self):
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"""
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generator function iterating through rows in matrix or elements in vector
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"""
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if self.rows==1:
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return self.colrange()
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return self.rowrange()
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def rowrange(self):
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"""
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generator function iterating along rows in matrix
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"""
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for i in range(self.rows):
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yield self[i]
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def colrange(self):
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"""
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generator function iterating along columns in matrix
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"""
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for i in range(self.cols):
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yield self[:,i]
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# if arg is None, python still calls our operator overloads
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# but we want
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# if mat != None
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# if mat == None
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# to do the right thing -- so redefine __ne__ and __eq__
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def __eq__(self, arg):
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"""
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__eq__(self, None)
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__eq__(self, CvArr src)
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__eq__(self, double val)
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"""
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if not arg:
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return False
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return _cv.CvMat___eq__(self, arg)
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def __ne__(self, arg):
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"""
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__ne__(self, None)
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__ne__(self, CvArr src)
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__ne__(self, double val)
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"""
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if not arg:
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return True
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return _cv.CvMat___ne__(self, arg)
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def __get_array_interface__ (self):
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"""Compose numpy array interface
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Via the numpy array interface, OpenCV data structures can be directly passed to numpy
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methods without copying / converting. This tremendously speeds up mixing code from
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OpenCV and numpy.
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See: http://numpy.scipy.org/array_interface.shtml
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@author Mark Asbach <asbach@ient.rwth-aachen.de>
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@date 2009-01-07
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"""
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if self.depth == IPL_DEPTH_8U:
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typestr = '|u1'
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bytes_per_pixel = 1
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elif self.depth == IPL_DEPTH_8S:
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typestr = '|i1'
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bytes_per_pixel = 1
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elif self.depth == IPL_DEPTH_16U:
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typestr = '|u2'
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bytes_per_pixel = 2
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elif self.depth == IPL_DEPTH_16S:
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typestr = '|i2'
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bytes_per_pixel = 2
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elif self.depth == IPL_DEPTH_32S:
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typestr = '|i4'
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bytes_per_pixel = 4
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elif self.depth == IPL_DEPTH_32F:
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typestr = '|f4'
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bytes_per_pixel = 4
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elif self.depth == IPL_DEPTH_64F:
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typestr = '|f8'
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bytes_per_pixel = 8
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else:
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raise TypeError("unknown resp. unhandled OpenCV image/matrix format")
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if self.nChannels == 1:
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# monochrome image, matrix with a single channel
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return {'shape': (self.height, self.width),
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'typestr': typestr,
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'version': 3,
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'data': (int (self.data.ptr), False),
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'strides': (int (self.widthStep), int (bytes_per_pixel))}
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else:
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# color image, image with alpha, matrix with multiple channels
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return {'shape': (self.height, self.width, self.nChannels),
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'typestr': typestr,
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'version': 3,
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'data': (int (self.data.ptr), False),
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'strides': (int (self.widthStep), int (self.nChannels * bytes_per_pixel), int (bytes_per_pixel))}
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__array_interface__ = property (__get_array_interface__, doc = "numpy array interface description")
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%}
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} //extend CvMat
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// slice access and assignment for IplImage
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%extend _IplImage
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{
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char * __str__(){
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static char str[8];
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cvArrPrint( self );
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str[0]=0;
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return str;
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}
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// scalar assignment
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|
void __setitem__(PyObject * object, double val){
|
|
CvMat tmp;
|
|
CvRect subrect = PySlice_to_CvRect( self, object );
|
|
cvGetSubRect(self, &tmp, subrect);
|
|
cvSet(&tmp, cvScalarAll(val));
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}
|
|
void __setitem__(PyObject * object, CvPoint val){
|
|
CvMat tmp;
|
|
CvRect subrect = PySlice_to_CvRect( self, object );
|
|
cvGetSubRect(self, &tmp, subrect);
|
|
cvSet(&tmp, cvScalar(val.x, val.y));
|
|
}
|
|
void __setitem__(PyObject * object, CvPoint2D32f val){
|
|
CvMat tmp;
|
|
CvRect subrect = PySlice_to_CvRect( self, object );
|
|
cvGetSubRect(self, &tmp, subrect);
|
|
cvSet(&tmp, cvScalar(val.x, val.y));
|
|
}
|
|
void __setitem__(PyObject * object, CvScalar val){
|
|
CvMat tmp;
|
|
CvRect subrect = PySlice_to_CvRect( self, object );
|
|
cvGetSubRect(self, &tmp, subrect);
|
|
cvSet(&tmp, val);
|
|
}
|
|
|
|
// array slice assignment
|
|
void __setitem__(PyObject * object, CvArr * arr){
|
|
CvMat tmp;
|
|
CvRect subrect = PySlice_to_CvRect( self, object );
|
|
cvGetSubRect(self, &tmp, subrect);
|
|
cvConvert(arr, &tmp);
|
|
}
|
|
|
|
// slice access
|
|
PyObject * __getitem__(PyObject * object){
|
|
CvMat mat;
|
|
IplImage * im;
|
|
CvRect subrect = PySlice_to_CvRect( self, object );
|
|
|
|
// return scalar if single element
|
|
if(subrect.width==1 && subrect.height==1){
|
|
CvScalar * s;
|
|
int type = cvGetElemType( self );
|
|
if(CV_MAT_CN(type) > 1){
|
|
s = new CvScalar;
|
|
*s = cvGet2D( self, subrect.y, subrect.x );
|
|
return SWIG_NewPointerObj( s, $descriptor(CvScalar *), 1 );
|
|
}
|
|
switch(CV_MAT_DEPTH(type)){
|
|
case CV_8U:
|
|
return PyLong_FromUnsignedLong( CV_IMAGE_ELEM(self, uchar, subrect.y, subrect.x ) );
|
|
case CV_8S:
|
|
return PyLong_FromLong( CV_IMAGE_ELEM(self, char, subrect.y, subrect.x ) );
|
|
case CV_16U:
|
|
return PyLong_FromUnsignedLong( CV_IMAGE_ELEM(self, ushort, subrect.y, subrect.x ) );
|
|
case CV_16S:
|
|
return PyLong_FromLong( CV_IMAGE_ELEM(self, short, subrect.y, subrect.x ) );
|
|
case CV_32S:
|
|
return PyLong_FromLong( CV_IMAGE_ELEM(self, int, subrect.y, subrect.x ) );
|
|
case CV_32F:
|
|
return PyFloat_FromDouble( CV_IMAGE_ELEM(self, float, subrect.y, subrect.x) );
|
|
case CV_64F:
|
|
return PyFloat_FromDouble( CV_IMAGE_ELEM(self, double, subrect.y, subrect.x) );
|
|
}
|
|
}
|
|
|
|
// otherwise return array
|
|
im = (IplImage *) cvAlloc(sizeof(IplImage));
|
|
cvGetSubRect(self, &mat, subrect);
|
|
im = cvGetImage(&mat, im);
|
|
return SWIG_NewPointerObj( im, $descriptor(_IplImage *), 1 );
|
|
}
|
|
}
|
|
|