--- /dev/null
+/*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*/
+
+/*
+ * cvsamples.cpp
+ *
+ * support functions for training and test samples creation.
+ */
+
+#include "cvhaartraining.h"
+#include "_cvhaartraining.h"
+
+/* if ipl.h file is included then iplWarpPerspectiveQ function
+ is used for image transformation during samples creation;
+ otherwise internal cvWarpPerspective function is used */
+
+//#include <ipl.h>
+
+#include <cv.h>
+#include <highgui.h>
+
+/* Calculates coefficients of perspective transformation
+ * which maps <quad> into rectangle ((0,0), (w,0), (w,h), (h,0)):
+ *
+ * c00*xi + c01*yi + c02
+ * ui = ---------------------
+ * c20*xi + c21*yi + c22
+ *
+ * c10*xi + c11*yi + c12
+ * vi = ---------------------
+ * c20*xi + c21*yi + c22
+ *
+ * Coefficients are calculated by solving linear system:
+ * / x0 y0 1 0 0 0 -x0*u0 -y0*u0 \ /c00\ /u0\
+ * | x1 y1 1 0 0 0 -x1*u1 -y1*u1 | |c01| |u1|
+ * | x2 y2 1 0 0 0 -x2*u2 -y2*u2 | |c02| |u2|
+ * | x3 y3 1 0 0 0 -x3*u3 -y3*u3 |.|c10|=|u3|,
+ * | 0 0 0 x0 y0 1 -x0*v0 -y0*v0 | |c11| |v0|
+ * | 0 0 0 x1 y1 1 -x1*v1 -y1*v1 | |c12| |v1|
+ * | 0 0 0 x2 y2 1 -x2*v2 -y2*v2 | |c20| |v2|
+ * \ 0 0 0 x3 y3 1 -x3*v3 -y3*v3 / \c21/ \v3/
+ *
+ * where:
+ * (xi, yi) = (quad[i][0], quad[i][1])
+ * cij - coeffs[i][j], coeffs[2][2] = 1
+ * (ui, vi) - rectangle vertices
+ */
+void cvGetPerspectiveTransform( CvSize src_size, double quad[4][2],
+ double coeffs[3][3] )
+{
+ //CV_FUNCNAME( "cvWarpPerspective" );
+
+ __BEGIN__;
+
+ double a[8][8];
+ double b[8];
+
+ CvMat A = cvMat( 8, 8, CV_64FC1, a );
+ CvMat B = cvMat( 8, 1, CV_64FC1, b );
+ CvMat X = cvMat( 8, 1, CV_64FC1, coeffs );
+
+ int i;
+ for( i = 0; i < 4; ++i )
+ {
+ a[i][0] = quad[i][0]; a[i][1] = quad[i][1]; a[i][2] = 1;
+ a[i][3] = a[i][4] = a[i][5] = a[i][6] = a[i][7] = 0;
+ b[i] = 0;
+ }
+ for( i = 4; i < 8; ++i )
+ {
+ a[i][3] = quad[i-4][0]; a[i][4] = quad[i-4][1]; a[i][5] = 1;
+ a[i][0] = a[i][1] = a[i][2] = a[i][6] = a[i][7] = 0;
+ b[i] = 0;
+ }
+
+ int u = src_size.width - 1;
+ int v = src_size.height - 1;
+
+ a[1][6] = -quad[1][0] * u; a[1][7] = -quad[1][1] * u;
+ a[2][6] = -quad[2][0] * u; a[2][7] = -quad[2][1] * u;
+ b[1] = b[2] = u;
+
+ a[6][6] = -quad[2][0] * v; a[6][7] = -quad[2][1] * v;
+ a[7][6] = -quad[3][0] * v; a[7][7] = -quad[3][1] * v;
+ b[6] = b[7] = v;
+
+ cvSolve( &A, &B, &X );
+
+ coeffs[2][2] = 1;
+
+ __END__;
+}
+
+/* Warps source into destination by a perspective transform */
+void cvWarpPerspective( CvArr* src, CvArr* dst, double quad[4][2] )
+{
+ CV_FUNCNAME( "cvWarpPerspective" );
+
+ __BEGIN__;
+
+#ifdef __IPL_H__
+ IplImage src_stub, dst_stub;
+ IplImage* src_img;
+ IplImage* dst_img;
+ CV_CALL( src_img = cvGetImage( src, &src_stub ) );
+ CV_CALL( dst_img = cvGetImage( dst, &dst_stub ) );
+ iplWarpPerspectiveQ( src_img, dst_img, quad, IPL_WARP_R_TO_Q,
+ IPL_INTER_CUBIC | IPL_SMOOTH_EDGE );
+#else
+
+ int fill_value = 0;
+
+ double c[3][3]; /* transformation coefficients */
+ double q[4][2]; /* rearranged quad */
+
+ int left = 0;
+ int right = 0;
+ int next_right = 0;
+ int next_left = 0;
+ double y_min = 0;
+ double y_max = 0;
+ double k_left, b_left, k_right, b_right;
+
+ uchar* src_data;
+ int src_step;
+ CvSize src_size;
+
+ uchar* dst_data;
+ int dst_step;
+ CvSize dst_size;
+
+ double d = 0;
+ int direction = 0;
+ int i;
+
+ if( !src || (!CV_IS_IMAGE( src ) && !CV_IS_MAT( src )) ||
+ cvGetElemType( src ) != CV_8UC1 ||
+ cvGetDims( src ) != 2 )
+ {
+ CV_ERROR( CV_StsBadArg,
+ "Source must be two-dimensional array of CV_8UC1 type." );
+ }
+ if( !dst || (!CV_IS_IMAGE( dst ) && !CV_IS_MAT( dst )) ||
+ cvGetElemType( dst ) != CV_8UC1 ||
+ cvGetDims( dst ) != 2 )
+ {
+ CV_ERROR( CV_StsBadArg,
+ "Destination must be two-dimensional array of CV_8UC1 type." );
+ }
+
+ CV_CALL( cvGetRawData( src, &src_data, &src_step, &src_size ) );
+ CV_CALL( cvGetRawData( dst, &dst_data, &dst_step, &dst_size ) );
+
+ CV_CALL( cvGetPerspectiveTransform( src_size, quad, c ) );
+
+ /* if direction > 0 then vertices in quad follow in a CW direction,
+ otherwise they follow in a CCW direction */
+ direction = 0;
+ for( i = 0; i < 4; ++i )
+ {
+ int ni = i + 1; if( ni == 4 ) ni = 0;
+ int pi = i - 1; if( pi == -1 ) pi = 3;
+
+ d = (quad[i][0] - quad[pi][0])*(quad[ni][1] - quad[i][1]) -
+ (quad[i][1] - quad[pi][1])*(quad[ni][0] - quad[i][0]);
+ int cur_direction = CV_SIGN(d);
+ if( direction == 0 )
+ {
+ direction = cur_direction;
+ }
+ else if( direction * cur_direction < 0 )
+ {
+ direction = 0;
+ break;
+ }
+ }
+ if( direction == 0 )
+ {
+ CV_ERROR( CV_StsBadArg, "Quadrangle is nonconvex or degenerated." );
+ }
+
+ /* <left> is the index of the topmost quad vertice
+ if there are two such vertices <left> is the leftmost one */
+ left = 0;
+ for( i = 1; i < 4; ++i )
+ {
+ if( (quad[i][1] < quad[left][1]) ||
+ ((quad[i][1] == quad[left][1]) && (quad[i][0] < quad[left][0])) )
+ {
+ left = i;
+ }
+ }
+ /* rearrange <quad> vertices in such way that they follow in a CW
+ direction and the first vertice is the topmost one and put them
+ into <q> */
+ if( direction > 0 )
+ {
+ for( i = left; i < 4; ++i )
+ {
+ q[i-left][0] = quad[i][0];
+ q[i-left][1] = quad[i][1];
+ }
+ for( i = 0; i < left; ++i )
+ {
+ q[4-left+i][0] = quad[i][0];
+ q[4-left+i][1] = quad[i][1];
+ }
+ }
+ else
+ {
+ for( i = left; i >= 0; --i )
+ {
+ q[left-i][0] = quad[i][0];
+ q[left-i][1] = quad[i][1];
+ }
+ for( i = 3; i > left; --i )
+ {
+ q[4+left-i][0] = quad[i][0];
+ q[4+left-i][1] = quad[i][1];
+ }
+ }
+
+ left = right = 0;
+ /* if there are two topmost points, <right> is the index of the rightmost one
+ otherwise <right> */
+ if( q[left][1] == q[left+1][1] )
+ {
+ right = 1;
+ }
+
+ /* <next_left> follows <left> in a CCW direction */
+ next_left = 3;
+ /* <next_right> follows <right> in a CW direction */
+ next_right = right + 1;
+
+ /* subtraction of 1 prevents skipping of the first row */
+ y_min = q[left][1] - 1;
+
+ /* left edge equation: y = k_left * x + b_left */
+ k_left = (q[left][0] - q[next_left][0]) /
+ (q[left][1] - q[next_left][1]);
+ b_left = (q[left][1] * q[next_left][0] -
+ q[left][0] * q[next_left][1]) /
+ (q[left][1] - q[next_left][1]);
+
+ /* right edge equation: y = k_right * x + b_right */
+ k_right = (q[right][0] - q[next_right][0]) /
+ (q[right][1] - q[next_right][1]);
+ b_right = (q[right][1] * q[next_right][0] -
+ q[right][0] * q[next_right][1]) /
+ (q[right][1] - q[next_right][1]);
+
+ for(;;)
+ {
+ int x, y;
+
+ y_max = MIN( q[next_left][1], q[next_right][1] );
+
+ int iy_min = MAX( cvRound(y_min), 0 ) + 1;
+ int iy_max = MIN( cvRound(y_max), dst_size.height - 1 );
+
+ double x_min = k_left * iy_min + b_left;
+ double x_max = k_right * iy_min + b_right;
+
+ /* walk through the destination quadrangle row by row */
+ for( y = iy_min; y <= iy_max; ++y )
+ {
+ int ix_min = MAX( cvRound( x_min ), 0 );
+ int ix_max = MIN( cvRound( x_max ), dst_size.width - 1 );
+
+ for( x = ix_min; x <= ix_max; ++x )
+ {
+ /* calculate coordinates of the corresponding source array point */
+ double div = (c[2][0] * x + c[2][1] * y + c[2][2]);
+ double src_x = (c[0][0] * x + c[0][1] * y + c[0][2]) / div;
+ double src_y = (c[1][0] * x + c[1][1] * y + c[1][2]) / div;
+
+ int isrc_x = cvFloor( src_x );
+ int isrc_y = cvFloor( src_y );
+ double delta_x = src_x - isrc_x;
+ double delta_y = src_y - isrc_y;
+
+ uchar* s = src_data + isrc_y * src_step + isrc_x;
+
+ int i00, i10, i01, i11;
+ i00 = i10 = i01 = i11 = (int) fill_value;
+
+ double i = fill_value;
+
+ /* linear interpolation using 2x2 neighborhood */
+ if( isrc_x >= 0 && isrc_x <= src_size.width &&
+ isrc_y >= 0 && isrc_y <= src_size.height )
+ {
+ i00 = s[0];
+ }
+ if( isrc_x >= -1 && isrc_x < src_size.width &&
+ isrc_y >= 0 && isrc_y <= src_size.height )
+ {
+ i10 = s[1];
+ }
+ if( isrc_x >= 0 && isrc_x <= src_size.width &&
+ isrc_y >= -1 && isrc_y < src_size.height )
+ {
+ i01 = s[src_step];
+ }
+ if( isrc_x >= -1 && isrc_x < src_size.width &&
+ isrc_y >= -1 && isrc_y < src_size.height )
+ {
+ i11 = s[src_step+1];
+ }
+
+ double i0 = i00 + (i10 - i00)*delta_x;
+ double i1 = i01 + (i11 - i01)*delta_x;
+ i = i0 + (i1 - i0)*delta_y;
+
+ ((uchar*)(dst_data + y * dst_step))[x] = (uchar) i;
+ }
+ x_min += k_left;
+ x_max += k_right;
+ }
+
+ if( (next_left == next_right) ||
+ (next_left+1 == next_right && q[next_left][1] == q[next_right][1]) )
+ {
+ break;
+ }
+
+ if( y_max == q[next_left][1] )
+ {
+ left = next_left;
+ next_left = left - 1;
+
+ k_left = (q[left][0] - q[next_left][0]) /
+ (q[left][1] - q[next_left][1]);
+ b_left = (q[left][1] * q[next_left][0] -
+ q[left][0] * q[next_left][1]) /
+ (q[left][1] - q[next_left][1]);
+ }
+ if( y_max == q[next_right][1] )
+ {
+ right = next_right;
+ next_right = right + 1;
+
+ k_right = (q[right][0] - q[next_right][0]) /
+ (q[right][1] - q[next_right][1]);
+ b_right = (q[right][1] * q[next_right][0] -
+ q[right][0] * q[next_right][1]) /
+ (q[right][1] - q[next_right][1]);
+ }
+ y_min = y_max;
+ }
+#endif /* #ifndef __IPL_H__ */
+
+ __END__;
+}
+
+static
+void icvRandomQuad( int width, int height, double quad[4][2],
+ double maxxangle,
+ double maxyangle,
+ double maxzangle )
+{
+ double distfactor = 3.0;
+ double distfactor2 = 1.0;
+
+ double halfw, halfh;
+ int i;
+
+ double rotVectData[3];
+ double vectData[3];
+ double rotMatData[9];
+
+ CvMat rotVect;
+ CvMat rotMat;
+ CvMat vect;
+
+ double d;
+
+ rotVect = cvMat( 3, 1, CV_64FC1, &rotVectData[0] );
+ rotMat = cvMat( 3, 3, CV_64FC1, &rotMatData[0] );
+ vect = cvMat( 3, 1, CV_64FC1, &vectData[0] );
+
+ rotVectData[0] = maxxangle * (2.0 * rand() / RAND_MAX - 1.0);
+ rotVectData[1] = ( maxyangle - fabs( rotVectData[0] ) )
+ * (2.0 * rand() / RAND_MAX - 1.0);
+ rotVectData[2] = maxzangle * (2.0 * rand() / RAND_MAX - 1.0);
+ d = (distfactor + distfactor2 * (2.0 * rand() / RAND_MAX - 1.0)) * width;
+
+/*
+ rotVectData[0] = maxxangle;
+ rotVectData[1] = maxyangle;
+ rotVectData[2] = maxzangle;
+
+ d = distfactor * width;
+*/
+
+ cvRodrigues( &rotMat, &rotVect, NULL, CV_RODRIGUES_V2M );
+
+ halfw = 0.5 * width;
+ halfh = 0.5 * height;
+
+ quad[0][0] = -halfw;
+ quad[0][1] = -halfh;
+ quad[1][0] = halfw;
+ quad[1][1] = -halfh;
+ quad[2][0] = halfw;
+ quad[2][1] = halfh;
+ quad[3][0] = -halfw;
+ quad[3][1] = halfh;
+
+ for( i = 0; i < 4; i++ )
+ {
+ rotVectData[0] = quad[i][0];
+ rotVectData[1] = quad[i][1];
+ rotVectData[2] = 0.0;
+ cvMatMulAdd( &rotMat, &rotVect, 0, &vect );
+ quad[i][0] = vectData[0] * d / (d + vectData[2]) + halfw;
+ quad[i][1] = vectData[1] * d / (d + vectData[2]) + halfh;
+
+ /*
+ quad[i][0] += halfw;
+ quad[i][1] += halfh;
+ */
+ }
+}
+
+
+int icvStartSampleDistortion( const char* imgfilename, int bgcolor, int bgthreshold,
+ CvSampleDistortionData* data )
+{
+ memset( data, 0, sizeof( *data ) );
+ data->src = cvLoadImage( imgfilename, 0 );
+ if( data->src != NULL && data->src->nChannels == 1
+ && data->src->depth == IPL_DEPTH_8U )
+ {
+ int r, c;
+ uchar* pmask;
+ uchar* psrc;
+ uchar* perode;
+ uchar* pdilate;
+ uchar dd, de;
+
+ data->dx = data->src->width / 2;
+ data->dy = data->src->height / 2;
+ data->bgcolor = bgcolor;
+
+ data->mask = cvCloneImage( data->src );
+ data->erode = cvCloneImage( data->src );
+ data->dilate = cvCloneImage( data->src );
+
+ /* make mask image */
+ for( r = 0; r < data->mask->height; r++ )
+ {
+ for( c = 0; c < data->mask->width; c++ )
+ {
+ pmask = ( (uchar*) (data->mask->imageData + r * data->mask->widthStep)
+ + c );
+ if( bgcolor - bgthreshold <= (int) (*pmask) &&
+ (int) (*pmask) <= bgcolor + bgthreshold )
+ {
+ *pmask = (uchar) 0;
+ }
+ else
+ {
+ *pmask = (uchar) 255;
+ }
+ }
+ }
+
+ /* extend borders of source image */
+ cvErode( data->src, data->erode, 0, 1 );
+ cvDilate( data->src, data->dilate, 0, 1 );
+ for( r = 0; r < data->mask->height; r++ )
+ {
+ for( c = 0; c < data->mask->width; c++ )
+ {
+ pmask = ( (uchar*) (data->mask->imageData + r * data->mask->widthStep)
+ + c );
+ if( (*pmask) == 0 )
+ {
+ psrc = ( (uchar*) (data->src->imageData + r * data->src->widthStep)
+ + c );
+ perode =
+ ( (uchar*) (data->erode->imageData + r * data->erode->widthStep)
+ + c );
+ pdilate =
+ ( (uchar*)(data->dilate->imageData + r * data->dilate->widthStep)
+ + c );
+ de = (uchar)(bgcolor - (*perode));
+ dd = (uchar)((*pdilate) - bgcolor);
+ if( de >= dd && de > bgthreshold )
+ {
+ (*psrc) = (*perode);
+ }
+ if( dd > de && dd > bgthreshold )
+ {
+ (*psrc) = (*pdilate);
+ }
+ }
+ }
+ }
+
+ data->img = cvCreateImage( cvSize( data->src->width + 2 * data->dx,
+ data->src->height + 2 * data->dy ),
+ IPL_DEPTH_8U, 1 );
+ data->maskimg = cvCloneImage( data->img );
+
+ return 1;
+ }
+
+ return 0;
+}
+
+void icvPlaceDistortedSample( CvArr* 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;
+ uchar* pimg;
+ uchar* pbg;
+ uchar* palpha;
+ uchar chartmp;
+ int forecolordev;
+ float scale;
+ IplImage* img;
+ IplImage* maskimg;
+ CvMat stub;
+ CvMat* bgimg;
+
+ CvRect cr;
+ CvRect roi;
+
+ double xshift, yshift, randscale;
+
+ icvRandomQuad( data->src->width, data->src->height, 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;
+
+ cvSet( data->img, cvScalar( data->bgcolor ) );
+ cvSet( data->maskimg, cvScalar( 0.0 ) );
+
+ cvWarpPerspective( data->src, data->img, quad );
+ cvWarpPerspective( data->mask, data->maskimg, quad );
+
+ cvSmooth( data->maskimg, data->maskimg, CV_GAUSSIAN, 3, 3 );
+
+ bgimg = cvGetMat( background, &stub );
+
+ cr.x = data->dx;
+ cr.y = data->dy;
+ cr.width = data->src->width;
+ cr.height = data->src->height;
+
+ 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 = maxshiftf * rand() / RAND_MAX;
+ yshift = maxshiftf * rand() / RAND_MAX;
+
+ 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 = maxscalef * rand() / RAND_MAX;
+ 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) / bgimg->cols, ((float) cr.height) / bgimg->rows );
+
+ roi.x = (int) (-0.5F * (scale * bgimg->cols - cr.width) + cr.x);
+ roi.y = (int) (-0.5F * (scale * bgimg->rows - cr.height) + cr.y);
+ roi.width = (int) (scale * bgimg->cols);
+ roi.height = (int) (scale * bgimg->rows);
+
+ img = cvCreateImage( cvSize( bgimg->cols, bgimg->rows ), IPL_DEPTH_8U, 1 );
+ maskimg = cvCreateImage( cvSize( bgimg->cols, bgimg->rows ), IPL_DEPTH_8U, 1 );
+
+ cvSetImageROI( data->img, roi );
+ cvResize( data->img, img );
+ cvResetImageROI( data->img );
+ cvSetImageROI( data->maskimg, roi );
+ cvResize( data->maskimg, maskimg );
+ cvResetImageROI( data->maskimg );
+
+ forecolordev = (int) (maxintensitydev * (2.0 * rand() / RAND_MAX - 1.0));
+
+ for( r = 0; r < img->height; r++ )
+ {
+ for( c = 0; c < img->width; c++ )
+ {
+ pimg = (uchar*) img->imageData + r * img->widthStep + c;
+ pbg = (uchar*) bgimg->data.ptr + r * bgimg->step + c;
+ palpha = (uchar*) maskimg->imageData + r * maskimg->widthStep + c;
+ chartmp = (uchar) MAX( 0, MIN( 255, forecolordev + (*pimg) ) );
+ if( inverse )
+ {
+ chartmp ^= 0xFF;
+ }
+ *pbg = (uchar) (( chartmp*(*palpha )+(255 - (*palpha) )*(*pbg) ) / 255);
+ }
+ }
+
+ cvReleaseImage( &img );
+ cvReleaseImage( &maskimg );
+}
+
+void icvEndSampleDistortion( CvSampleDistortionData* data )
+{
+ if( data->src )
+ {
+ cvReleaseImage( &data->src );
+ }
+ if( data->mask )
+ {
+ cvReleaseImage( &data->mask );
+ }
+ if( data->erode )
+ {
+ cvReleaseImage( &data->erode );
+ }
+ if( data->dilate )
+ {
+ cvReleaseImage( &data->dilate );
+ }
+ if( data->img )
+ {
+ cvReleaseImage( &data->img );
+ }
+ if( data->maskimg )
+ {
+ cvReleaseImage( &data->maskimg );
+ }
+}
+
+void icvWriteVecHeader( FILE* file, int count, int width, int height )
+{
+ int vecsize;
+ short tmp;
+
+ /* number of samples */
+ fwrite( &count, sizeof( count ), 1, file );
+ /* vector size */
+ vecsize = width * height;
+ fwrite( &vecsize, sizeof( vecsize ), 1, file );
+ /* min/max values */
+ tmp = 0;
+ fwrite( &tmp, sizeof( tmp ), 1, file );
+ fwrite( &tmp, sizeof( tmp ), 1, file );
+}
+
+void icvWriteVecSample( FILE* file, CvArr* sample )
+{
+ CvMat* mat, stub;
+ int r, c;
+ short tmp;
+ uchar chartmp;
+
+ mat = cvGetMat( sample, &stub );
+ chartmp = 0;
+ fwrite( &chartmp, sizeof( chartmp ), 1, file );
+ for( r = 0; r < mat->rows; r++ )
+ {
+ for( c = 0; c < mat->cols; c++ )
+ {
+ tmp = (short) (CV_MAT_ELEM( *mat, uchar, r, c ));
+ fwrite( &tmp, sizeof( tmp ), 1, file );
+ }
+ }
+}
+
+
+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;
+ IplImage* src=0;
+ IplImage* sample;
+ int line;
+ int error;
+ int i;
+ int x, y, width, height;
+ int total;
+
+ assert( infoname != NULL );
+ 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;
+ }
+
+ sample = cvCreateImage( cvSize( winwidth, winheight ), IPL_DEPTH_8U, 1 );
+
+ icvWriteVecHeader( vec, num, sample->width, sample->height );
+
+ if( showsamples )
+ {
+ cvNamedWindow( "Sample", CV_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++ )
+ {
+ int count;
+
+ error = ( fscanf( info, "%s %d", filename, &count ) != 2 );
+ if( !error )
+ {
+ src = cvLoadImage( fullname, 0 );
+ error = ( src == NULL );
+ if( error )
+ {
+
+#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;
+ cvSetImageROI( src, cvRect( x, y, width, height ) );
+ cvResize( src, sample, width >= sample->width &&
+ height >= sample->height ? CV_INTER_AREA : CV_INTER_LINEAR );
+
+ if( showsamples )
+ {
+ cvShowImage( "Sample", sample );
+ if( cvWaitKey( 0 ) == 27 )
+ {
+ showsamples = 0;
+ }
+ }
+ icvWriteVecSample( vec, sample );
+ }
+
+ if( src )
+ {
+ cvReleaseImage( &src );
+ }
+
+ if( error )
+ {
+
+#if CV_VERBOSE
+ fprintf( stderr, "%s(%d) : parse error", infoname, line );
+#endif /* CV_VERBOSE */
+
+ break;
+ }
+ }
+
+ if( sample )
+ {
+ cvReleaseImage( &sample );
+ }
+
+ fclose( vec );
+ fclose( info );
+
+ return total;
+}
+
+
+void cvShowVecSamples( const char* filename, int winwidth, int winheight,
+ double scale )
+{
+ CvVecFile file;
+ short tmp;
+ int i;
+ CvMat* sample;
+
+ tmp = 0;
+ file.input = fopen( filename, "rb" );
+
+ if( file.input != NULL )
+ {
+ fread( &file.count, sizeof( file.count ), 1, file.input );
+ fread( &file.vecsize, sizeof( file.vecsize ), 1, file.input );
+ fread( &tmp, sizeof( tmp ), 1, file.input );
+ fread( &tmp, sizeof( tmp ), 1, file.input );
+
+ 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 )
+ {
+ CvMat* scaled_sample = 0;
+
+ file.last = 0;
+ file.vector = (short*) cvAlloc( sizeof( *file.vector ) * file.vecsize );
+ sample = scaled_sample = cvCreateMat( winheight, winwidth, CV_8UC1 );
+ if( scale != 1.0 )
+ {
+ scaled_sample = cvCreateMat( MAX( 1, cvCeil( scale * winheight ) ),
+ MAX( 1, cvCeil( scale * winwidth ) ),
+ CV_8UC1 );
+ }
+ cvNamedWindow( "Sample", CV_WINDOW_AUTOSIZE );
+ for( i = 0; i < file.count; i++ )
+ {
+ icvGetHaarTraininDataFromVecCallback( sample, &file );
+ if( scale != 1.0 ) cvResize( sample, scaled_sample, CV_INTER_LINEAR);
+ cvShowImage( "Sample", scaled_sample );
+ if( cvWaitKey( 0 ) == 27 ) break;
+ }
+ if( scaled_sample && scaled_sample != sample ) cvReleaseMat( &scaled_sample );
+ cvReleaseMat( &sample );
+ cvFree( &file.vector );
+ }
+ fclose( file.input );
+ }
+}
+
+
+/* End of file. */
projects / opencv / blobdiff