/*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*/ // 2004-03-16, Gabriel Schreiber // Mark Asbach // Institute of Communications Engineering, RWTH Aachen University // 2006-08-29 Roman Stanchak -- converted to use CvMat rather than IplImage %{ /// Accessor to convert a Python string into the imageData. void CvMat_imageData_set(CvMat * self, PyObject* object) { char* py_string = PyString_AsString(object); int depth = CV_MAT_DEPTH(self->type); int cn = CV_MAT_CN(self->type); int step = self->step ? self->step : step = CV_ELEM_SIZE(self->type) * self->cols; if (depth == CV_8U && cn==3){ // RGB case // The data is reordered beause OpenCV uses BGR instead of RGB for (long line = 0; line < self->rows; ++line) for (long pixel = 0; pixel < self->cols; ++pixel) { // In OpenCV the beginning of the lines are aligned // to 4 Bytes. So use step instead of cols. long position = line*step + pixel*3; long sourcepos = line*self->cols*3 + pixel*3; self->data.ptr[position ] = py_string[sourcepos+2]; self->data.ptr[position+1] = py_string[sourcepos+1]; self->data.ptr[position+2] = py_string[sourcepos ]; } } else if (depth == CV_8U && cn==1) { // Grayscale 8bit case for (long line = 0; line < self->rows; ++line) { // In OpenCV the beginning of the lines are aligned // to 4 Bytes. So use step instead of cols. memcpy ( self->data.ptr + line*step, py_string + line*self->cols, step ); } } else if ( depth == CV_32F ) { // float (32bit) case for (long line = 0; line < self->rows; ++line) { // here we don not have to care about alignment as the Floats are // as long as the alignment memcpy ( self->data.ptr + line*step, py_string + line*self->cols*sizeof(float), step ); } } else if ( depth == CV_64F ) { // double (64bit) case for (long line = 0; line < self->rows; ++line) { // here we don not have to care about alignment as the Floats are // as long as the alignment memcpy ( self->data.ptr + line*step, py_string + line*self->cols*sizeof(double), step ); } } else { // make some noise SendErrorToPython (SWIG_TypeError, "CvMat_imageData_set", "cannot convert string data to this image format", __FILE__, __LINE__, NULL); } } /// Accessor to convert the imageData into a Python string. PyObject* CvMat_imageData_get(CvMat * self) { if (!self->data.ptr) { PyErr_SetString(PyExc_TypeError, "Data pointer of CvMat is NULL"); return NULL; } int step = self->step ? self->step : step = CV_ELEM_SIZE(self->type) * self->cols; return PyString_FromStringAndSize((const char *)self->data.ptr, self->rows*step); } %} // add virtual member variable to CvMat %extend CvMat { PyObject * imageData; };