mirror of
https://github.com/opencv/opencv.git
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243 lines
8.2 KiB
C++
243 lines
8.2 KiB
C++
/*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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/*
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* createsamples.cpp
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*
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* Create test/training samples
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*/
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#include <cstdio>
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#include <cstring>
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#include <cstdlib>
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#include <cmath>
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using namespace std;
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#include "cvhaartraining.h"
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int main( int argc, char* argv[] )
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{
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int i = 0;
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char* nullname = (char*)"(NULL)";
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char* vecname = NULL; /* .vec file name */
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char* infoname = NULL; /* file name with marked up image descriptions */
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char* imagename = NULL; /* single sample image */
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char* bgfilename = NULL; /* background */
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int num = 1000;
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int bgcolor = 0;
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int bgthreshold = 80;
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int invert = 0;
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int maxintensitydev = 40;
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double maxxangle = 1.1;
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double maxyangle = 1.1;
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double maxzangle = 0.5;
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int showsamples = 0;
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/* the samples are adjusted to this scale in the sample preview window */
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double scale = 4.0;
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int width = 24;
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int height = 24;
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if( argc == 1 )
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{
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printf( "Usage: %s\n [-info <collection_file_name>]\n"
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" [-img <image_file_name>]\n"
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" [-vec <vec_file_name>]\n"
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" [-bg <background_file_name>]\n [-num <number_of_samples = %d>]\n"
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" [-bgcolor <background_color = %d>]\n"
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" [-inv] [-randinv] [-bgthresh <background_color_threshold = %d>]\n"
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" [-maxidev <max_intensity_deviation = %d>]\n"
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" [-maxxangle <max_x_rotation_angle = %f>]\n"
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" [-maxyangle <max_y_rotation_angle = %f>]\n"
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" [-maxzangle <max_z_rotation_angle = %f>]\n"
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" [-show [<scale = %f>]]\n"
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" [-w <sample_width = %d>]\n [-h <sample_height = %d>]\n",
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argv[0], num, bgcolor, bgthreshold, maxintensitydev,
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maxxangle, maxyangle, maxzangle, scale, width, height );
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return 0;
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}
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for( i = 1; i < argc; ++i )
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{
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if( !strcmp( argv[i], "-info" ) )
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{
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infoname = argv[++i];
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}
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else if( !strcmp( argv[i], "-img" ) )
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{
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imagename = argv[++i];
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}
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else if( !strcmp( argv[i], "-vec" ) )
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{
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vecname = argv[++i];
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}
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else if( !strcmp( argv[i], "-bg" ) )
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{
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bgfilename = argv[++i];
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}
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else if( !strcmp( argv[i], "-num" ) )
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{
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num = atoi( argv[++i] );
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}
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else if( !strcmp( argv[i], "-bgcolor" ) )
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{
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bgcolor = atoi( argv[++i] );
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}
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else if( !strcmp( argv[i], "-bgthresh" ) )
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{
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bgthreshold = atoi( argv[++i] );
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}
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else if( !strcmp( argv[i], "-inv" ) )
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{
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invert = 1;
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}
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else if( !strcmp( argv[i], "-randinv" ) )
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{
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invert = CV_RANDOM_INVERT;
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}
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else if( !strcmp( argv[i], "-maxidev" ) )
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{
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maxintensitydev = atoi( argv[++i] );
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}
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else if( !strcmp( argv[i], "-maxxangle" ) )
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{
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maxxangle = atof( argv[++i] );
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}
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else if( !strcmp( argv[i], "-maxyangle" ) )
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{
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maxyangle = atof( argv[++i] );
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}
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else if( !strcmp( argv[i], "-maxzangle" ) )
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{
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maxzangle = atof( argv[++i] );
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}
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else if( !strcmp( argv[i], "-show" ) )
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{
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showsamples = 1;
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if( i+1 < argc && strlen( argv[i+1] ) > 0 && argv[i+1][0] != '-' )
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{
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double d;
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d = strtod( argv[i+1], 0 );
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if( d != -HUGE_VAL && d != HUGE_VAL && d > 0 ) scale = d;
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++i;
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}
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}
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else if( !strcmp( argv[i], "-w" ) )
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{
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width = atoi( argv[++i] );
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}
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else if( !strcmp( argv[i], "-h" ) )
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{
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height = atoi( argv[++i] );
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}
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}
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printf( "Info file name: %s\n", ((infoname == NULL) ? nullname : infoname ) );
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printf( "Img file name: %s\n", ((imagename == NULL) ? nullname : imagename ) );
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printf( "Vec file name: %s\n", ((vecname == NULL) ? nullname : vecname ) );
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printf( "BG file name: %s\n", ((bgfilename == NULL) ? nullname : bgfilename ) );
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printf( "Num: %d\n", num );
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printf( "BG color: %d\n", bgcolor );
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printf( "BG threshold: %d\n", bgthreshold );
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printf( "Invert: %s\n", (invert == CV_RANDOM_INVERT) ? "RANDOM"
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: ( (invert) ? "TRUE" : "FALSE" ) );
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printf( "Max intensity deviation: %d\n", maxintensitydev );
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printf( "Max x angle: %g\n", maxxangle );
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printf( "Max y angle: %g\n", maxyangle );
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printf( "Max z angle: %g\n", maxzangle );
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printf( "Show samples: %s\n", (showsamples) ? "TRUE" : "FALSE" );
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if( showsamples )
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{
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printf( "Scale: %g\n", scale );
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}
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printf( "Width: %d\n", width );
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printf( "Height: %d\n", height );
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/* determine action */
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if( imagename && vecname )
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{
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printf( "Create training samples from single image applying distortions...\n" );
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cvCreateTrainingSamples( vecname, imagename, bgcolor, bgthreshold, bgfilename,
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num, invert, maxintensitydev,
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maxxangle, maxyangle, maxzangle,
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showsamples, width, height );
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printf( "Done\n" );
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}
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else if( imagename && bgfilename && infoname )
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{
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printf( "Create test samples from single image applying distortions...\n" );
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cvCreateTestSamples( infoname, imagename, bgcolor, bgthreshold, bgfilename, num,
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invert, maxintensitydev,
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maxxangle, maxyangle, maxzangle, showsamples, width, height );
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printf( "Done\n" );
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}
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else if( infoname && vecname )
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{
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int total;
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printf( "Create training samples from images collection...\n" );
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total = cvCreateTrainingSamplesFromInfo( infoname, vecname, num, showsamples,
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width, height );
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printf( "Done. Created %d samples\n", total );
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}
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else if( vecname )
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{
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printf( "View samples from vec file (press ESC to exit)...\n" );
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cvShowVecSamples( vecname, width, height, scale );
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printf( "Done\n" );
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}
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else
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{
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printf( "Nothing to do\n" );
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}
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return 0;
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}
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