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Open Source Computer Vision Library
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1461 lines
42 KiB
1461 lines
42 KiB
/*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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#include <cstring> |
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#include <ctime> |
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#include <sys/stat.h> |
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#include <sys/types.h> |
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#ifdef _WIN32 |
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#include <direct.h> |
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#endif /* _WIN32 */ |
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#include "utility.hpp" |
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#include "opencv2/core.hpp" |
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#include "opencv2/imgcodecs.hpp" |
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#include "opencv2/imgproc.hpp" |
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#include "opencv2/highgui.hpp" |
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#include "opencv2/calib3d.hpp" |
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using namespace cv; |
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#ifndef PATH_MAX |
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#define PATH_MAX 512 |
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#endif /* PATH_MAX */ |
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#define __BEGIN__ __CV_BEGIN__ |
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#define __END__ __CV_END__ |
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#define EXIT __CV_EXIT__ |
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static int icvMkDir( const char* filename ) |
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{ |
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char path[PATH_MAX]; |
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char* p; |
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int pos; |
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#ifdef _WIN32 |
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struct _stat st; |
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#else /* _WIN32 */ |
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struct stat st; |
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mode_t mode; |
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mode = 0755; |
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#endif /* _WIN32 */ |
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strcpy( path, filename ); |
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p = path; |
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for( ; ; ) |
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{ |
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pos = (int)strcspn( p, "/\\" ); |
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if( pos == (int) strlen( p ) ) break; |
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if( pos != 0 ) |
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{ |
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p[pos] = '\0'; |
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#ifdef _WIN32 |
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if( p[pos-1] != ':' ) |
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{ |
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if( _stat( path, &st ) != 0 ) |
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{ |
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if( _mkdir( path ) != 0 ) return 0; |
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} |
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} |
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#else /* _WIN32 */ |
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if( stat( path, &st ) != 0 ) |
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{ |
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if( mkdir( path, mode ) != 0 ) return 0; |
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} |
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#endif /* _WIN32 */ |
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} |
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p[pos] = '/'; |
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p += pos + 1; |
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} |
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return 1; |
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} |
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static void icvWriteVecHeader( FILE* file, int count, int width, int height ) |
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{ |
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int vecsize; |
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short tmp; |
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/* number of samples */ |
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fwrite( &count, sizeof( count ), 1, file ); |
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/* vector size */ |
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vecsize = width * height; |
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fwrite( &vecsize, sizeof( vecsize ), 1, file ); |
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/* min/max values */ |
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tmp = 0; |
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fwrite( &tmp, sizeof( tmp ), 1, file ); |
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fwrite( &tmp, sizeof( tmp ), 1, file ); |
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} |
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static void icvWriteVecSample( FILE* file, Mat sample ) |
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{ |
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uchar chartmp = 0; |
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fwrite( &chartmp, sizeof( chartmp ), 1, file ); |
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for(int r = 0; r < sample.rows; r++ ) |
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{ |
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for(int c = 0; c < sample.cols; c++ ) |
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{ |
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short tmp = sample.at<uchar>(r,c); |
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fwrite( &tmp, sizeof( tmp ), 1, file ); |
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} |
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} |
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} |
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/* Calculates coefficients of perspective transformation |
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* which maps <quad> into rectangle ((0,0), (w,0), (w,h), (h,0)): |
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* |
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* c00*xi + c01*yi + c02 |
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* ui = --------------------- |
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* c20*xi + c21*yi + c22 |
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* |
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* c10*xi + c11*yi + c12 |
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* vi = --------------------- |
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* c20*xi + c21*yi + c22 |
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* |
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* Coefficients are calculated by solving linear system: |
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* / x0 y0 1 0 0 0 -x0*u0 -y0*u0 \ /c00\ /u0\ |
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* | x1 y1 1 0 0 0 -x1*u1 -y1*u1 | |c01| |u1| |
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* | x2 y2 1 0 0 0 -x2*u2 -y2*u2 | |c02| |u2| |
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* | x3 y3 1 0 0 0 -x3*u3 -y3*u3 |.|c10|=|u3|, |
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* | 0 0 0 x0 y0 1 -x0*v0 -y0*v0 | |c11| |v0| |
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* | 0 0 0 x1 y1 1 -x1*v1 -y1*v1 | |c12| |v1| |
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* | 0 0 0 x2 y2 1 -x2*v2 -y2*v2 | |c20| |v2| |
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* \ 0 0 0 x3 y3 1 -x3*v3 -y3*v3 / \c21/ \v3/ |
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* |
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* where: |
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* (xi, yi) = (quad[i][0], quad[i][1]) |
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* cij - coeffs[i][j], coeffs[2][2] = 1 |
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* (ui, vi) - rectangle vertices |
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*/ |
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static void cvGetPerspectiveTransform( Size src_size, double quad[4][2], double coeffs[3][3] ) |
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{ |
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double a[8][8]; |
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double b[8]; |
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Mat A( 8, 8, CV_64FC1, a ); |
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Mat B( 8, 1, CV_64FC1, b ); |
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Mat X( 8, 1, CV_64FC1, coeffs ); |
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int i; |
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for( i = 0; i < 4; ++i ) |
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{ |
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a[i][0] = quad[i][0]; a[i][1] = quad[i][1]; a[i][2] = 1; |
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a[i][3] = a[i][4] = a[i][5] = a[i][6] = a[i][7] = 0; |
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b[i] = 0; |
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} |
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for( i = 4; i < 8; ++i ) |
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{ |
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a[i][3] = quad[i-4][0]; a[i][4] = quad[i-4][1]; a[i][5] = 1; |
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a[i][0] = a[i][1] = a[i][2] = a[i][6] = a[i][7] = 0; |
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b[i] = 0; |
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} |
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int u = src_size.width - 1; |
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int v = src_size.height - 1; |
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a[1][6] = -quad[1][0] * u; a[1][7] = -quad[1][1] * u; |
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a[2][6] = -quad[2][0] * u; a[2][7] = -quad[2][1] * u; |
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b[1] = b[2] = u; |
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a[6][6] = -quad[2][0] * v; a[6][7] = -quad[2][1] * v; |
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a[7][6] = -quad[3][0] * v; a[7][7] = -quad[3][1] * v; |
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b[6] = b[7] = v; |
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solve( A, B, X ); |
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coeffs[2][2] = 1; |
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} |
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/* Warps source into destination by a perspective transform */ |
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static void cvWarpPerspective( Mat src, Mat dst, double quad[4][2] ) |
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{ |
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int fill_value = 0; |
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double c[3][3]; /* transformation coefficients */ |
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double q[4][2]; /* rearranged quad */ |
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int left = 0; |
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int right = 0; |
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int next_right = 0; |
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int next_left = 0; |
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double y_min = 0; |
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double y_max = 0; |
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double k_left, b_left, k_right, b_right; |
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double d = 0; |
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int direction = 0; |
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int i; |
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if( src.type() != CV_8UC1 || src.dims != 2 ) |
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{ |
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CV_Error( Error::StsBadArg, |
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"Source must be two-dimensional array of CV_8UC1 type." ); |
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} |
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if( dst.type() != CV_8UC1 || dst.dims != 2 ) |
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{ |
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CV_Error( Error::StsBadArg, |
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"Destination must be two-dimensional array of CV_8UC1 type." ); |
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} |
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cvGetPerspectiveTransform( src.size(), quad, c ); |
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/* if direction > 0 then vertices in quad follow in a CW direction, |
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otherwise they follow in a CCW direction */ |
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direction = 0; |
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for( i = 0; i < 4; ++i ) |
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{ |
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int ni = i + 1; if( ni == 4 ) ni = 0; |
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int pi = i - 1; if( pi == -1 ) pi = 3; |
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d = (quad[i][0] - quad[pi][0])*(quad[ni][1] - quad[i][1]) - |
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(quad[i][1] - quad[pi][1])*(quad[ni][0] - quad[i][0]); |
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int cur_direction = d > 0 ? 1 : d < 0 ? -1 : 0; |
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if( direction == 0 ) |
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{ |
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direction = cur_direction; |
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} |
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else if( direction * cur_direction < 0 ) |
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{ |
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direction = 0; |
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break; |
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} |
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} |
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if( direction == 0 ) |
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{ |
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CV_Error(Error::StsBadArg, "Quadrangle is nonconvex or degenerated." ); |
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} |
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/* <left> is the index of the topmost quad vertice |
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if there are two such vertices <left> is the leftmost one */ |
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left = 0; |
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for( i = 1; i < 4; ++i ) |
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{ |
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if( (quad[i][1] < quad[left][1]) || |
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((quad[i][1] == quad[left][1]) && (quad[i][0] < quad[left][0])) ) |
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{ |
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left = i; |
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} |
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} |
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/* rearrange <quad> vertices in such way that they follow in a CW |
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direction and the first vertice is the topmost one and put them |
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into <q> */ |
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if( direction > 0 ) |
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{ |
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for( i = left; i < 4; ++i ) |
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{ |
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q[i-left][0] = quad[i][0]; |
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q[i-left][1] = quad[i][1]; |
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} |
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for( i = 0; i < left; ++i ) |
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{ |
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q[4-left+i][0] = quad[i][0]; |
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q[4-left+i][1] = quad[i][1]; |
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} |
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} |
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else |
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{ |
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for( i = left; i >= 0; --i ) |
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{ |
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q[left-i][0] = quad[i][0]; |
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q[left-i][1] = quad[i][1]; |
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} |
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for( i = 3; i > left; --i ) |
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{ |
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q[4+left-i][0] = quad[i][0]; |
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q[4+left-i][1] = quad[i][1]; |
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} |
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} |
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left = right = 0; |
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/* if there are two topmost points, <right> is the index of the rightmost one |
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otherwise <right> */ |
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if( q[left][1] == q[left+1][1] ) |
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{ |
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right = 1; |
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} |
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/* <next_left> follows <left> in a CCW direction */ |
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next_left = 3; |
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/* <next_right> follows <right> in a CW direction */ |
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next_right = right + 1; |
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/* subtraction of 1 prevents skipping of the first row */ |
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y_min = q[left][1] - 1; |
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/* left edge equation: y = k_left * x + b_left */ |
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k_left = (q[left][0] - q[next_left][0]) / |
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(q[left][1] - q[next_left][1]); |
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b_left = (q[left][1] * q[next_left][0] - |
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q[left][0] * q[next_left][1]) / |
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(q[left][1] - q[next_left][1]); |
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/* right edge equation: y = k_right * x + b_right */ |
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k_right = (q[right][0] - q[next_right][0]) / |
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(q[right][1] - q[next_right][1]); |
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b_right = (q[right][1] * q[next_right][0] - |
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q[right][0] * q[next_right][1]) / |
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(q[right][1] - q[next_right][1]); |
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for(;;) |
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{ |
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int x, y; |
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y_max = MIN( q[next_left][1], q[next_right][1] ); |
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int iy_min = MAX( cvRound(y_min), 0 ) + 1; |
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int iy_max = MIN( cvRound(y_max), dst.rows - 1 ); |
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double x_min = k_left * iy_min + b_left; |
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double x_max = k_right * iy_min + b_right; |
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/* walk through the destination quadrangle row by row */ |
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for( y = iy_min; y <= iy_max; ++y ) |
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{ |
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int ix_min = MAX( cvRound( x_min ), 0 ); |
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int ix_max = MIN( cvRound( x_max ), dst.cols - 1 ); |
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for( x = ix_min; x <= ix_max; ++x ) |
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{ |
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/* calculate coordinates of the corresponding source array point */ |
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double div = (c[2][0] * x + c[2][1] * y + c[2][2]); |
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double src_x = (c[0][0] * x + c[0][1] * y + c[0][2]) / div; |
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double src_y = (c[1][0] * x + c[1][1] * y + c[1][2]) / div; |
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int isrc_x = cvFloor( src_x ); |
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int isrc_y = cvFloor( src_y ); |
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double delta_x = src_x - isrc_x; |
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double delta_y = src_y - isrc_y; |
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int i00, i10, i01, i11; |
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i00 = i10 = i01 = i11 = (int) fill_value; |
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/* linear interpolation using 2x2 neighborhood */ |
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if( isrc_x >= 0 && isrc_x < src.cols && |
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isrc_y >= 0 && isrc_y < src.rows ) |
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{ |
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i00 = src.at<uchar>(isrc_y, isrc_x); |
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} |
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if( isrc_x >= -1 && isrc_x + 1 < src.cols && |
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isrc_y >= 0 && isrc_y < src.rows ) |
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{ |
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i10 = src.at<uchar>(isrc_y, isrc_x + 1); |
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} |
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if( isrc_x >= 0 && isrc_x < src.cols && |
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isrc_y >= -1 && isrc_y + 1 < src.rows ) |
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{ |
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i01 = src.at<uchar>(isrc_y + 1, isrc_x); |
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} |
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if( isrc_x >= -1 && isrc_x + 1 < src.cols && |
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isrc_y >= -1 && isrc_y + 1 < src.rows ) |
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{ |
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i11 = src.at<uchar>(isrc_y + 1, isrc_x + 1); |
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} |
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double i0 = i00 + (i10 - i00)*delta_x; |
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double i1 = i01 + (i11 - i01)*delta_x; |
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dst.at<uchar>(y, x) = (uchar) (i0 + (i1 - i0)*delta_y); |
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} |
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x_min += k_left; |
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x_max += k_right; |
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} |
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if( (next_left == next_right) || |
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(next_left+1 == next_right && q[next_left][1] == q[next_right][1]) ) |
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{ |
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break; |
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} |
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if( y_max == q[next_left][1] ) |
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{ |
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left = next_left; |
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next_left = left - 1; |
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k_left = (q[left][0] - q[next_left][0]) / |
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(q[left][1] - q[next_left][1]); |
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b_left = (q[left][1] * q[next_left][0] - |
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q[left][0] * q[next_left][1]) / |
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(q[left][1] - q[next_left][1]); |
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} |
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if( y_max == q[next_right][1] ) |
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{ |
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right = next_right; |
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next_right = right + 1; |
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k_right = (q[right][0] - q[next_right][0]) / |
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(q[right][1] - q[next_right][1]); |
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b_right = (q[right][1] * q[next_right][0] - |
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q[right][0] * q[next_right][1]) / |
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(q[right][1] - q[next_right][1]); |
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} |
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y_min = y_max; |
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} |
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} |
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static |
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void icvRandomQuad( int width, int height, double quad[4][2], |
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double maxxangle, |
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double maxyangle, |
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double maxzangle ) |
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{ |
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double distfactor = 3.0; |
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double distfactor2 = 1.0; |
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double halfw, halfh; |
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int i; |
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double rotVectData[3]; |
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double vectData[3]; |
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double rotMatData[9]; |
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double d; |
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Mat rotVect( 3, 1, CV_64FC1, &rotVectData[0] ); |
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Mat rotMat( 3, 3, CV_64FC1, &rotMatData[0] ); |
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Mat vect( 3, 1, CV_64FC1, &vectData[0] ); |
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rotVectData[0] = theRNG().uniform( -maxxangle, maxxangle ); |
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rotVectData[1] = ( maxyangle - fabs( rotVectData[0] ) ) * theRNG().uniform( -1.0, 1.0 ); |
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rotVectData[2] = theRNG().uniform( -maxzangle, maxzangle ); |
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d = ( distfactor + distfactor2 * theRNG().uniform( -1.0, 1.0 ) ) * width; |
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Rodrigues( rotVect, rotMat ); |
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halfw = 0.5 * width; |
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halfh = 0.5 * height; |
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quad[0][0] = -halfw; |
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quad[0][1] = -halfh; |
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quad[1][0] = halfw; |
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quad[1][1] = -halfh; |
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quad[2][0] = halfw; |
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quad[2][1] = halfh; |
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quad[3][0] = -halfw; |
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quad[3][1] = halfh; |
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for( i = 0; i < 4; i++ ) |
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{ |
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rotVectData[0] = quad[i][0]; |
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rotVectData[1] = quad[i][1]; |
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rotVectData[2] = 0.0; |
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gemm(rotMat, rotVect, 1., Mat(), 1., vect); |
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quad[i][0] = vectData[0] * d / (d + vectData[2]) + halfw; |
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quad[i][1] = vectData[1] * d / (d + vectData[2]) + halfh; |
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} |
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} |
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typedef struct CvSampleDistortionData |
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{ |
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Mat src; |
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Mat erode; |
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Mat dilate; |
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Mat mask; |
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Mat img; |
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Mat maskimg; |
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int dx; |
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int dy; |
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int bgcolor; |
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} CvSampleDistortionData; |
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#if defined CV_OPENMP && (defined _MSC_VER || defined CV_ICC) |
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#define CV_OPENMP 1 |
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#else |
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#undef CV_OPENMP |
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#endif |
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typedef struct CvBackgroundData |
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{ |
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int count; |
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char** filename; |
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int last; |
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int round; |
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Size winsize; |
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} CvBackgroundData; |
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|
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typedef struct CvBackgroundReader |
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{ |
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Mat src; |
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Mat img; |
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Point offset; |
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float scale; |
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float scalefactor; |
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float stepfactor; |
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Point point; |
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} CvBackgroundReader; |
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|
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/* |
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* Background reader |
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* Created in each thread |
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*/ |
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CvBackgroundReader* cvbgreader = NULL; |
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|
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#if defined CV_OPENMP |
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#pragma omp threadprivate(cvbgreader) |
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#endif |
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|
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CvBackgroundData* cvbgdata = NULL; |
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|
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static int icvStartSampleDistortion( const char* imgfilename, int bgcolor, int bgthreshold, |
|
CvSampleDistortionData* data ) |
|
{ |
|
memset( data, 0, sizeof( *data ) ); |
|
data->src = imread( imgfilename, IMREAD_GRAYSCALE ); |
|
if( !(data->src.empty()) && data->src.type() == CV_8UC1 ) |
|
{ |
|
int r, c; |
|
|
|
data->dx = data->src.cols / 2; |
|
data->dy = data->src.rows / 2; |
|
data->bgcolor = bgcolor; |
|
|
|
data->mask = data->src.clone(); |
|
data->erode = data->src.clone(); |
|
data->dilate = data->src.clone(); |
|
|
|
/* make mask image */ |
|
for( r = 0; r < data->mask.rows; r++ ) |
|
{ |
|
for( c = 0; c < data->mask.cols; c++ ) |
|
{ |
|
uchar& pmask = data->mask.at<uchar>(r, c); |
|
if( bgcolor - bgthreshold <= (int)pmask && |
|
(int)pmask <= bgcolor + bgthreshold ) |
|
{ |
|
pmask = (uchar) 0; |
|
} |
|
else |
|
{ |
|
pmask = (uchar) 255; |
|
} |
|
} |
|
} |
|
|
|
/* extend borders of source image */ |
|
erode( data->src, data->erode, Mat() ); |
|
dilate( data->src, data->dilate, Mat() ); |
|
for( r = 0; r < data->mask.rows; r++ ) |
|
{ |
|
for( c = 0; c < data->mask.cols; c++ ) |
|
{ |
|
uchar& pmask = data->mask.at<uchar>(r, c); |
|
if( pmask == 0 ) |
|
{ |
|
uchar& psrc = data->src.at<uchar>(r, c); |
|
uchar& perode = data->erode.at<uchar>(r, c); |
|
uchar& pdilate = data->dilate.at<uchar>(r, c); |
|
uchar de = (uchar)(bgcolor - perode); |
|
uchar dd = (uchar)(pdilate - bgcolor); |
|
if( de >= dd && de > bgthreshold ) |
|
{ |
|
psrc = perode; |
|
} |
|
if( dd > de && dd > bgthreshold ) |
|
{ |
|
psrc = pdilate; |
|
} |
|
} |
|
} |
|
} |
|
|
|
data->img = Mat(Size( data->src.cols + 2 * data->dx, data->src.rows + 2 * data->dy ), CV_8UC1); |
|
data->maskimg = Mat(Size(data->src.cols + 2 * data->dx, data->src.rows + 2 * data->dy), CV_8UC1); |
|
|
|
return 1; |
|
} |
|
|
|
return 0; |
|
} |
|
|
|
static |
|
void icvPlaceDistortedSample( Mat background, |
|
int inverse, int maxintensitydev, |
|
double maxxangle, double maxyangle, double maxzangle, |
|
int inscribe, double maxshiftf, double maxscalef, |
|
CvSampleDistortionData* data ) |
|
{ |
|
double quad[4][2]; |
|
int r, c; |
|
int forecolordev; |
|
float scale; |
|
|
|
Rect cr; |
|
Rect roi; |
|
|
|
double xshift, yshift, randscale; |
|
|
|
icvRandomQuad( data->src.cols, data->src.rows, quad, |
|
maxxangle, maxyangle, maxzangle ); |
|
quad[0][0] += (double) data->dx; |
|
quad[0][1] += (double) data->dy; |
|
quad[1][0] += (double) data->dx; |
|
quad[1][1] += (double) data->dy; |
|
quad[2][0] += (double) data->dx; |
|
quad[2][1] += (double) data->dy; |
|
quad[3][0] += (double) data->dx; |
|
quad[3][1] += (double) data->dy; |
|
|
|
data->img = data->bgcolor; |
|
data->maskimg = 0; |
|
|
|
cvWarpPerspective( data->src, data->img, quad ); |
|
cvWarpPerspective( data->mask, data->maskimg, quad ); |
|
|
|
GaussianBlur( data->maskimg, data->maskimg, Size(3, 3), 0, 0 ); |
|
|
|
cr.x = data->dx; |
|
cr.y = data->dy; |
|
cr.width = data->src.cols; |
|
cr.height = data->src.rows; |
|
|
|
if( inscribe ) |
|
{ |
|
/* quad's circumscribing rectangle */ |
|
cr.x = (int) MIN( quad[0][0], quad[3][0] ); |
|
cr.y = (int) MIN( quad[0][1], quad[1][1] ); |
|
cr.width = (int) (MAX( quad[1][0], quad[2][0] ) + 0.5F ) - cr.x; |
|
cr.height = (int) (MAX( quad[2][1], quad[3][1] ) + 0.5F ) - cr.y; |
|
} |
|
|
|
xshift = theRNG().uniform( 0., maxshiftf ); |
|
yshift = theRNG().uniform( 0., maxshiftf ); |
|
|
|
cr.x -= (int) ( xshift * cr.width ); |
|
cr.y -= (int) ( yshift * cr.height ); |
|
cr.width = (int) ((1.0 + maxshiftf) * cr.width ); |
|
cr.height = (int) ((1.0 + maxshiftf) * cr.height); |
|
|
|
randscale = theRNG().uniform( 0., maxscalef ); |
|
cr.x -= (int) ( 0.5 * randscale * cr.width ); |
|
cr.y -= (int) ( 0.5 * randscale * cr.height ); |
|
cr.width = (int) ((1.0 + randscale) * cr.width ); |
|
cr.height = (int) ((1.0 + randscale) * cr.height); |
|
|
|
scale = MAX( ((float) cr.width) / background.cols, ((float) cr.height) / background.rows ); |
|
|
|
roi.x = (int) (-0.5F * (scale * background.cols - cr.width) + cr.x); |
|
roi.y = (int) (-0.5F * (scale * background.rows - cr.height) + cr.y); |
|
roi.width = (int) (scale * background.cols); |
|
roi.height = (int) (scale * background.rows); |
|
|
|
Mat img( background.size(), CV_8UC1 ); |
|
Mat maskimg( background.size(), CV_8UC1 ); |
|
|
|
resize( data->img(roi & Rect(Point(0,0), data->img.size())), img, img.size(), 0, 0, INTER_LINEAR_EXACT); |
|
resize( data->maskimg(roi & Rect(Point(0, 0), data->maskimg.size())), maskimg, maskimg.size(), 0, 0, INTER_LINEAR_EXACT); |
|
|
|
forecolordev = theRNG().uniform( -maxintensitydev, maxintensitydev ); |
|
|
|
for( r = 0; r < img.rows; r++ ) |
|
{ |
|
for( c = 0; c < img.cols; c++ ) |
|
{ |
|
uchar& pbg = background.at<uchar>(r, c); |
|
uchar& palpha = maskimg.at<uchar>(r, c); |
|
uchar chartmp = (uchar) MAX( 0, MIN( 255, forecolordev + img.at<uchar>(r, c)) ); |
|
if( inverse ) |
|
{ |
|
chartmp ^= 0xFF; |
|
} |
|
pbg = (uchar) ((chartmp*palpha + (255 - palpha)*pbg) / 255); |
|
} |
|
} |
|
} |
|
|
|
static |
|
CvBackgroundData* icvCreateBackgroundData( const char* filename, Size winsize ) |
|
{ |
|
CvBackgroundData* data = NULL; |
|
|
|
const char* dir = NULL; |
|
char full[PATH_MAX]; |
|
char* imgfilename = NULL; |
|
size_t datasize = 0; |
|
int count = 0; |
|
FILE* input = NULL; |
|
char* tmp = NULL; |
|
int len = 0; |
|
|
|
CV_Assert( filename != NULL ); |
|
|
|
dir = strrchr( filename, '\\' ); |
|
if( dir == NULL ) |
|
{ |
|
dir = strrchr( filename, '/' ); |
|
} |
|
if( dir == NULL ) |
|
{ |
|
imgfilename = &(full[0]); |
|
} |
|
else |
|
{ |
|
strncpy( &(full[0]), filename, (dir - filename + 1) ); |
|
imgfilename = &(full[(dir - filename + 1)]); |
|
} |
|
|
|
input = fopen( filename, "r" ); |
|
if( input != NULL ) |
|
{ |
|
count = 0; |
|
datasize = 0; |
|
|
|
/* count */ |
|
while( !feof( input ) ) |
|
{ |
|
*imgfilename = '\0'; |
|
if( !fgets( imgfilename, PATH_MAX - (int)(imgfilename - full) - 1, input )) |
|
break; |
|
len = (int)strlen( imgfilename ); |
|
for( ; len > 0 && isspace(imgfilename[len-1]); len-- ) |
|
imgfilename[len-1] = '\0'; |
|
if( len > 0 ) |
|
{ |
|
if( (*imgfilename) == '#' ) continue; /* comment */ |
|
count++; |
|
datasize += sizeof( char ) * (strlen( &(full[0]) ) + 1); |
|
} |
|
} |
|
if( count > 0 ) |
|
{ |
|
//rewind( input ); |
|
fseek( input, 0, SEEK_SET ); |
|
datasize += sizeof( *data ) + sizeof( char* ) * count; |
|
data = (CvBackgroundData*) fastMalloc( datasize ); |
|
memset( (void*) data, 0, datasize ); |
|
data->count = count; |
|
data->filename = (char**) (data + 1); |
|
data->last = 0; |
|
data->round = 0; |
|
data->winsize = winsize; |
|
tmp = (char*) (data->filename + data->count); |
|
count = 0; |
|
while( !feof( input ) ) |
|
{ |
|
*imgfilename = '\0'; |
|
if( !fgets( imgfilename, PATH_MAX - (int)(imgfilename - full) - 1, input )) |
|
break; |
|
len = (int)strlen( imgfilename ); |
|
if( len > 0 && imgfilename[len-1] == '\n' ) |
|
imgfilename[len-1] = 0, len--; |
|
if( len > 0 ) |
|
{ |
|
if( (*imgfilename) == '#' ) continue; /* comment */ |
|
data->filename[count++] = tmp; |
|
strcpy( tmp, &(full[0]) ); |
|
tmp += strlen( &(full[0]) ) + 1; |
|
} |
|
} |
|
} |
|
fclose( input ); |
|
} |
|
|
|
return data; |
|
} |
|
|
|
static |
|
CvBackgroundReader* icvCreateBackgroundReader() |
|
{ |
|
CvBackgroundReader* reader = NULL; |
|
|
|
reader = new CvBackgroundReader; |
|
reader->scale = 1.0F; |
|
reader->scalefactor = 1.4142135623730950488016887242097F; |
|
reader->stepfactor = 0.5F; |
|
|
|
return reader; |
|
} |
|
|
|
static |
|
void icvGetNextFromBackgroundData( CvBackgroundData* data, |
|
CvBackgroundReader* reader ) |
|
{ |
|
Mat img; |
|
int round = 0; |
|
int i = 0; |
|
Point offset; |
|
|
|
CV_Assert( data != NULL && reader != NULL ); |
|
|
|
#ifdef CV_OPENMP |
|
#pragma omp critical(c_background_data) |
|
#endif /* CV_OPENMP */ |
|
{ |
|
for( i = 0; i < data->count; i++ ) |
|
{ |
|
round = data->round; |
|
|
|
data->last = theRNG().uniform( 0, RAND_MAX ) % data->count; |
|
|
|
#ifdef CV_VERBOSE |
|
printf( "Open background image: %s\n", data->filename[data->last] ); |
|
#endif /* CV_VERBOSE */ |
|
|
|
img = imread( data->filename[data->last], IMREAD_GRAYSCALE ); |
|
if( img.empty() ) |
|
continue; |
|
data->round += data->last / data->count; |
|
data->round = data->round % (data->winsize.width * data->winsize.height); |
|
|
|
offset.x = round % data->winsize.width; |
|
offset.y = round / data->winsize.width; |
|
|
|
offset.x = MIN( offset.x, img.cols - data->winsize.width ); |
|
offset.y = MIN( offset.y, img.rows - data->winsize.height ); |
|
|
|
if( !img.empty() && img.type() == CV_8UC1 && offset.x >= 0 && offset.y >= 0 ) |
|
{ |
|
break; |
|
} |
|
img = Mat(); |
|
} |
|
} |
|
if( img.empty() ) |
|
{ |
|
/* no appropriate image */ |
|
|
|
#ifdef CV_VERBOSE |
|
printf( "Invalid background description file.\n" ); |
|
#endif /* CV_VERBOSE */ |
|
|
|
CV_Assert( 0 ); |
|
exit( 1 ); |
|
} |
|
|
|
reader->src = img; |
|
|
|
//reader->offset.x = round % data->winsize.width; |
|
//reader->offset.y = round / data->winsize.width; |
|
reader->offset = offset; |
|
reader->point = reader->offset; |
|
reader->scale = MAX( |
|
((float) data->winsize.width + reader->point.x) / ((float) reader->src.cols), |
|
((float) data->winsize.height + reader->point.y) / ((float) reader->src.rows) ); |
|
|
|
resize( reader->src, reader->img, |
|
Size((int)(reader->scale * reader->src.cols + 0.5F), (int)(reader->scale * reader->src.rows + 0.5F)), 0, 0, INTER_LINEAR_EXACT); |
|
} |
|
|
|
/* |
|
* icvGetBackgroundImage |
|
* |
|
* Get an image from background |
|
* <img> must be allocated and have size, previously passed to icvInitBackgroundReaders |
|
* |
|
* Usage example: |
|
* icvInitBackgroundReaders( "bg.txt", cvSize( 24, 24 ) ); |
|
* ... |
|
* #pragma omp parallel |
|
* { |
|
* ... |
|
* icvGetBackgourndImage( cvbgdata, cvbgreader, img ); |
|
* ... |
|
* } |
|
* ... |
|
* icvDestroyBackgroundReaders(); |
|
*/ |
|
static |
|
void icvGetBackgroundImage( CvBackgroundData* data, |
|
CvBackgroundReader* reader, |
|
Mat& img ) |
|
{ |
|
CV_Assert( data != NULL && reader != NULL ); |
|
|
|
if( reader->img.empty() ) |
|
{ |
|
icvGetNextFromBackgroundData( data, reader ); |
|
} |
|
|
|
img = reader->img(Rect(reader->point.x, reader->point.y, data->winsize.width, data->winsize.height)).clone(); |
|
|
|
if( (int) ( reader->point.x + (1.0F + reader->stepfactor ) * data->winsize.width ) |
|
< reader->img.cols ) |
|
{ |
|
reader->point.x += (int) (reader->stepfactor * data->winsize.width); |
|
} |
|
else |
|
{ |
|
reader->point.x = reader->offset.x; |
|
if( (int) ( reader->point.y + (1.0F + reader->stepfactor ) * data->winsize.height ) |
|
< reader->img.rows ) |
|
{ |
|
reader->point.y += (int) (reader->stepfactor * data->winsize.height); |
|
} |
|
else |
|
{ |
|
reader->point.y = reader->offset.y; |
|
reader->scale *= reader->scalefactor; |
|
if( reader->scale <= 1.0F ) |
|
{ |
|
resize(reader->src, reader->img, |
|
Size((int)(reader->scale * reader->src.cols), (int)(reader->scale * reader->src.rows)), 0, 0, INTER_LINEAR_EXACT); |
|
} |
|
else |
|
{ |
|
icvGetNextFromBackgroundData( data, reader ); |
|
} |
|
} |
|
} |
|
} |
|
|
|
/* |
|
* icvInitBackgroundReaders |
|
* |
|
* Initialize background reading process. |
|
* <cvbgreader> and <cvbgdata> are initialized. |
|
* Must be called before any usage of background |
|
* |
|
* filename - name of background description file |
|
* winsize - size of images will be obtained from background |
|
* |
|
* return 1 on success, 0 otherwise. |
|
*/ |
|
static int icvInitBackgroundReaders( const char* filename, Size winsize ) |
|
{ |
|
if( cvbgdata == NULL && filename != NULL ) |
|
{ |
|
cvbgdata = icvCreateBackgroundData( filename, winsize ); |
|
} |
|
|
|
if( cvbgdata ) |
|
{ |
|
|
|
#ifdef CV_OPENMP |
|
#pragma omp parallel |
|
#endif /* CV_OPENMP */ |
|
{ |
|
#ifdef CV_OPENMP |
|
#pragma omp critical(c_create_bg_data) |
|
#endif /* CV_OPENMP */ |
|
{ |
|
if( cvbgreader == NULL ) |
|
{ |
|
cvbgreader = icvCreateBackgroundReader(); |
|
} |
|
} |
|
} |
|
|
|
} |
|
|
|
return (cvbgdata != NULL); |
|
} |
|
|
|
/* |
|
* icvDestroyBackgroundReaders |
|
* |
|
* Finish backgournd reading process |
|
*/ |
|
static |
|
void icvDestroyBackgroundReaders() |
|
{ |
|
/* release background reader in each thread */ |
|
#ifdef CV_OPENMP |
|
#pragma omp parallel |
|
#endif /* CV_OPENMP */ |
|
{ |
|
#ifdef CV_OPENMP |
|
#pragma omp critical(c_release_bg_data) |
|
#endif /* CV_OPENMP */ |
|
{ |
|
if( cvbgreader != NULL ) |
|
{ |
|
delete cvbgreader; |
|
cvbgreader = NULL; |
|
} |
|
} |
|
} |
|
|
|
if( cvbgdata != NULL ) |
|
{ |
|
fastFree(cvbgdata); |
|
cvbgdata = NULL; |
|
} |
|
} |
|
|
|
void cvCreateTrainingSamples( const char* filename, |
|
const char* imgfilename, int bgcolor, int bgthreshold, |
|
const char* bgfilename, int count, |
|
int invert, int maxintensitydev, |
|
double maxxangle, double maxyangle, double maxzangle, |
|
int showsamples, |
|
int winwidth, int winheight ) |
|
{ |
|
CvSampleDistortionData data; |
|
|
|
CV_Assert( filename != NULL ); |
|
CV_Assert( imgfilename != NULL ); |
|
|
|
if( !icvMkDir( filename ) ) |
|
{ |
|
fprintf( stderr, "Unable to create output file: %s\n", filename ); |
|
return; |
|
} |
|
if( icvStartSampleDistortion( imgfilename, bgcolor, bgthreshold, &data ) ) |
|
{ |
|
FILE* output = NULL; |
|
|
|
output = fopen( filename, "wb" ); |
|
if( output != NULL ) |
|
{ |
|
int hasbg; |
|
int i; |
|
int inverse; |
|
|
|
hasbg = 0; |
|
hasbg = (bgfilename != NULL && icvInitBackgroundReaders( bgfilename, |
|
Size( winwidth,winheight ) ) ); |
|
|
|
Mat sample( winheight, winwidth, CV_8UC1 ); |
|
|
|
icvWriteVecHeader( output, count, sample.cols, sample.rows ); |
|
|
|
if( showsamples ) |
|
{ |
|
namedWindow( "Sample", WINDOW_AUTOSIZE ); |
|
} |
|
|
|
inverse = invert; |
|
for( i = 0; i < count; i++ ) |
|
{ |
|
if( hasbg ) |
|
{ |
|
icvGetBackgroundImage( cvbgdata, cvbgreader, sample ); |
|
} |
|
else |
|
{ |
|
sample = bgcolor; |
|
} |
|
|
|
if( invert == CV_RANDOM_INVERT ) |
|
{ |
|
inverse = theRNG().uniform( 0, 2 ); |
|
} |
|
icvPlaceDistortedSample( sample, inverse, maxintensitydev, |
|
maxxangle, maxyangle, maxzangle, |
|
0 /* nonzero means placing image without cut offs */, |
|
0.0 /* nozero adds random shifting */, |
|
0.0 /* nozero adds random scaling */, |
|
&data ); |
|
|
|
if( showsamples ) |
|
{ |
|
imshow( "Sample", sample ); |
|
if( (waitKey( 0 ) & 0xFF) == 27 ) |
|
{ |
|
showsamples = 0; |
|
} |
|
} |
|
|
|
icvWriteVecSample( output, sample ); |
|
|
|
#ifdef CV_VERBOSE |
|
if( i % 500 == 0 ) |
|
{ |
|
printf( "\r%3d%%", 100 * i / count ); |
|
} |
|
#endif /* CV_VERBOSE */ |
|
} |
|
icvDestroyBackgroundReaders(); |
|
fclose( output ); |
|
} /* if( output != NULL ) */ |
|
} |
|
|
|
#ifdef CV_VERBOSE |
|
printf( "\r \r" ); |
|
#endif /* CV_VERBOSE */ |
|
|
|
} |
|
|
|
#define CV_INFO_FILENAME "info.dat" |
|
|
|
void cvCreateTestSamples( const char* infoname, |
|
const char* imgfilename, int bgcolor, int bgthreshold, |
|
const char* bgfilename, int count, |
|
int invert, int maxintensitydev, |
|
double maxxangle, double maxyangle, double maxzangle, |
|
int showsamples, |
|
int winwidth, int winheight, double maxscale ) |
|
{ |
|
CvSampleDistortionData data; |
|
|
|
CV_Assert( infoname != NULL ); |
|
CV_Assert( imgfilename != NULL ); |
|
CV_Assert( bgfilename != NULL ); |
|
|
|
if( !icvMkDir( infoname ) ) |
|
{ |
|
|
|
#if CV_VERBOSE |
|
fprintf( stderr, "Unable to create directory hierarchy: %s\n", infoname ); |
|
#endif /* CV_VERBOSE */ |
|
|
|
return; |
|
} |
|
if( icvStartSampleDistortion( imgfilename, bgcolor, bgthreshold, &data ) ) |
|
{ |
|
char fullname[PATH_MAX]; |
|
char* filename; |
|
FILE* info; |
|
|
|
if( icvInitBackgroundReaders( bgfilename, Size( 10, 10 ) ) ) |
|
{ |
|
int i; |
|
int x, y, width, height; |
|
float scale; |
|
int inverse; |
|
|
|
if( showsamples ) |
|
{ |
|
namedWindow( "Image", WINDOW_AUTOSIZE ); |
|
} |
|
|
|
info = fopen( infoname, "w" ); |
|
strcpy( fullname, infoname ); |
|
filename = strrchr( fullname, '\\' ); |
|
if( filename == NULL ) |
|
{ |
|
filename = strrchr( fullname, '/' ); |
|
} |
|
if( filename == NULL ) |
|
{ |
|
filename = fullname; |
|
} |
|
else |
|
{ |
|
filename++; |
|
} |
|
|
|
count = MIN( count, cvbgdata->count ); |
|
inverse = invert; |
|
for( i = 0; i < count; i++ ) |
|
{ |
|
icvGetNextFromBackgroundData( cvbgdata, cvbgreader ); |
|
if( maxscale < 0.0 ) |
|
{ |
|
maxscale = MIN( 0.7F * cvbgreader->src.cols / winwidth, |
|
0.7F * cvbgreader->src.rows / winheight ); |
|
} |
|
|
|
if( maxscale < 1.0F ) continue; |
|
|
|
scale = theRNG().uniform( 1.0F, (float)maxscale ); |
|
|
|
width = (int) (scale * winwidth); |
|
height = (int) (scale * winheight); |
|
x = (int) ( theRNG().uniform( 0.1, 0.8 ) * (cvbgreader->src.cols - width)); |
|
y = (int) ( theRNG().uniform( 0.1, 0.8 ) * (cvbgreader->src.rows - height)); |
|
|
|
if( invert == CV_RANDOM_INVERT ) |
|
{ |
|
inverse = theRNG().uniform( 0, 2 ); |
|
} |
|
icvPlaceDistortedSample( cvbgreader->src(Rect(x, y, width, height)), inverse, maxintensitydev, |
|
maxxangle, maxyangle, maxzangle, |
|
1, 0.0, 0.0, &data ); |
|
|
|
|
|
sprintf( filename, "%04d_%04d_%04d_%04d_%04d.jpg", |
|
(i + 1), x, y, width, height ); |
|
|
|
if( info ) |
|
{ |
|
fprintf( info, "%s %d %d %d %d %d\n", |
|
filename, 1, x, y, width, height ); |
|
} |
|
|
|
imwrite( fullname, cvbgreader->src ); |
|
if( showsamples ) |
|
{ |
|
imshow( "Image", cvbgreader->src ); |
|
if( (waitKey( 0 ) & 0xFF) == 27 ) |
|
{ |
|
showsamples = 0; |
|
} |
|
} |
|
} |
|
if( info ) fclose( info ); |
|
icvDestroyBackgroundReaders(); |
|
} |
|
} |
|
} |
|
|
|
|
|
int cvCreateTrainingSamplesFromInfo( const char* infoname, const char* vecfilename, |
|
int num, |
|
int showsamples, |
|
int winwidth, int winheight ) |
|
{ |
|
char fullname[PATH_MAX]; |
|
char* filename; |
|
|
|
FILE* info; |
|
FILE* vec; |
|
int line; |
|
int error; |
|
int i; |
|
int x, y, width, height; |
|
int total; |
|
|
|
CV_Assert( infoname != NULL ); |
|
CV_Assert( vecfilename != NULL ); |
|
|
|
total = 0; |
|
if( !icvMkDir( vecfilename ) ) |
|
{ |
|
|
|
#if CV_VERBOSE |
|
fprintf( stderr, "Unable to create directory hierarchy: %s\n", vecfilename ); |
|
#endif /* CV_VERBOSE */ |
|
|
|
return total; |
|
} |
|
|
|
info = fopen( infoname, "r" ); |
|
if( info == NULL ) |
|
{ |
|
|
|
#if CV_VERBOSE |
|
fprintf( stderr, "Unable to open file: %s\n", infoname ); |
|
#endif /* CV_VERBOSE */ |
|
|
|
return total; |
|
} |
|
|
|
vec = fopen( vecfilename, "wb" ); |
|
if( vec == NULL ) |
|
{ |
|
|
|
#if CV_VERBOSE |
|
fprintf( stderr, "Unable to open file: %s\n", vecfilename ); |
|
#endif /* CV_VERBOSE */ |
|
|
|
fclose( info ); |
|
|
|
return total; |
|
} |
|
|
|
icvWriteVecHeader( vec, num, winwidth, winheight ); |
|
|
|
if( showsamples ) |
|
{ |
|
namedWindow( "Sample", WINDOW_AUTOSIZE ); |
|
} |
|
|
|
strcpy( fullname, infoname ); |
|
filename = strrchr( fullname, '\\' ); |
|
if( filename == NULL ) |
|
{ |
|
filename = strrchr( fullname, '/' ); |
|
} |
|
if( filename == NULL ) |
|
{ |
|
filename = fullname; |
|
} |
|
else |
|
{ |
|
filename++; |
|
} |
|
|
|
for( line = 1, error = 0, total = 0; total < num ;line++ ) |
|
{ |
|
Mat src; |
|
int count; |
|
|
|
if(fscanf(info, "%s %d", filename, &count) == 2) |
|
{ |
|
src = imread( fullname, IMREAD_GRAYSCALE ); |
|
if(src.empty()) |
|
{ |
|
|
|
#if CV_VERBOSE |
|
fprintf( stderr, "Unable to open image: %s\n", fullname ); |
|
#endif /* CV_VERBOSE */ |
|
|
|
} |
|
} |
|
for( i = 0; (i < count) && (total < num); i++, total++ ) |
|
{ |
|
error = ( fscanf( info, "%d %d %d %d", &x, &y, &width, &height ) != 4 ); |
|
if( error ) break; |
|
Mat sample; |
|
resize( src(Rect(x, y, width, height)), sample, Size(winwidth, winheight), 0, 0, |
|
width >= winwidth && height >= winheight ? INTER_AREA : INTER_LINEAR_EXACT ); |
|
|
|
if( showsamples ) |
|
{ |
|
imshow( "Sample", sample ); |
|
if( (waitKey( 0 ) & 0xFF) == 27 ) |
|
{ |
|
showsamples = 0; |
|
} |
|
} |
|
icvWriteVecSample( vec, sample ); |
|
} |
|
|
|
if( error ) |
|
{ |
|
|
|
#if CV_VERBOSE |
|
fprintf( stderr, "%s(%d) : parse error", infoname, line ); |
|
#endif /* CV_VERBOSE */ |
|
|
|
break; |
|
} |
|
} |
|
|
|
fclose( vec ); |
|
fclose( info ); |
|
|
|
return total; |
|
} |
|
|
|
typedef struct CvVecFile |
|
{ |
|
FILE* input; |
|
int count; |
|
int vecsize; |
|
int last; |
|
} CvVecFile; |
|
|
|
static |
|
int icvGetTraininDataFromVec( Mat& img, CvVecFile& userdata ) |
|
{ |
|
AutoBuffer<short> vector(userdata.vecsize); |
|
uchar tmp = 0; |
|
int r = 0; |
|
int c = 0; |
|
|
|
CV_Assert( img.rows * img.cols == userdata.vecsize ); |
|
|
|
size_t elements_read = fread( &tmp, sizeof( tmp ), 1, userdata.input ); |
|
CV_Assert(elements_read == 1); |
|
elements_read = fread(vector.data(), sizeof(short), userdata.vecsize, userdata.input); |
|
CV_Assert(elements_read == (size_t)userdata.vecsize); |
|
|
|
if( feof( userdata.input ) || userdata.last++ >= userdata.count ) |
|
{ |
|
return 0; |
|
} |
|
|
|
for( r = 0; r < img.rows; r++ ) |
|
{ |
|
for( c = 0; c < img.cols; c++ ) |
|
{ |
|
img.at<uchar>(r, c) = (uchar) ( vector[r * img.cols + c] ); |
|
} |
|
} |
|
|
|
return 1; |
|
} |
|
void cvShowVecSamples( const char* filename, int winwidth, int winheight, |
|
double scale ) |
|
{ |
|
CvVecFile file; |
|
short tmp; |
|
int i; |
|
|
|
tmp = 0; |
|
file.input = fopen( filename, "rb" ); |
|
|
|
if( file.input != NULL ) |
|
{ |
|
size_t elements_read1 = fread( &file.count, sizeof( file.count ), 1, file.input ); |
|
size_t elements_read2 = fread( &file.vecsize, sizeof( file.vecsize ), 1, file.input ); |
|
size_t elements_read3 = fread( &tmp, sizeof( tmp ), 1, file.input ); |
|
size_t elements_read4 = fread( &tmp, sizeof( tmp ), 1, file.input ); |
|
CV_Assert(elements_read1 == 1 && elements_read2 == 1 && elements_read3 == 1 && elements_read4 == 1); |
|
|
|
if( file.vecsize != winwidth * winheight ) |
|
{ |
|
int guessed_w = 0; |
|
int guessed_h = 0; |
|
|
|
fprintf( stderr, "Warning: specified sample width=%d and height=%d " |
|
"does not correspond to .vec file vector size=%d.\n", |
|
winwidth, winheight, file.vecsize ); |
|
if( file.vecsize > 0 ) |
|
{ |
|
guessed_w = cvFloor( sqrt( (float) file.vecsize ) ); |
|
if( guessed_w > 0 ) |
|
{ |
|
guessed_h = file.vecsize / guessed_w; |
|
} |
|
} |
|
|
|
if( guessed_w <= 0 || guessed_h <= 0 || guessed_w * guessed_h != file.vecsize) |
|
{ |
|
fprintf( stderr, "Error: failed to guess sample width and height\n" ); |
|
fclose( file.input ); |
|
|
|
return; |
|
} |
|
else |
|
{ |
|
winwidth = guessed_w; |
|
winheight = guessed_h; |
|
fprintf( stderr, "Guessed width=%d, guessed height=%d\n", |
|
winwidth, winheight ); |
|
} |
|
} |
|
|
|
if( !feof( file.input ) && scale > 0 ) |
|
{ |
|
file.last = 0; |
|
namedWindow( "Sample", WINDOW_AUTOSIZE ); |
|
for( i = 0; i < file.count; i++ ) |
|
{ |
|
Mat sample(winheight, winwidth, CV_8UC1); |
|
icvGetTraininDataFromVec( sample, file ); |
|
if( scale != 1.0 ) |
|
resize( sample, sample, |
|
Size(MAX(1, cvCeil(scale * winwidth)), MAX(1, cvCeil(scale * winheight))), 0, 0, INTER_LINEAR_EXACT); |
|
imshow( "Sample", sample ); |
|
if( waitKey( 0 ) == 27 ) break; |
|
} |
|
} |
|
fclose( file.input ); |
|
} |
|
}
|
|
|