opencv/modules/haartraining/createsamples.cpp

246 lines
8.3 KiB
C++
Raw Normal View History

/*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*/
/*
* createsamples.cpp
*
* Create test/training samples
*/
#include <cstdio>
#include <cstring>
#include <cstdlib>
#include <cmath>
2010-12-15 12:21:27 +01:00
#include <ctime>
using namespace std;
#include "cvhaartraining.h"
int main( int argc, char* argv[] )
{
int i = 0;
char* nullname = (char*)"(NULL)";
char* vecname = NULL; /* .vec file name */
char* infoname = NULL; /* file name with marked up image descriptions */
char* imagename = NULL; /* single sample image */
char* bgfilename = NULL; /* background */
int num = 1000;
int bgcolor = 0;
int bgthreshold = 80;
int invert = 0;
int maxintensitydev = 40;
double maxxangle = 1.1;
double maxyangle = 1.1;
double maxzangle = 0.5;
int showsamples = 0;
/* the samples are adjusted to this scale in the sample preview window */
double scale = 4.0;
int width = 24;
int height = 24;
srand((unsigned int)time(0));
2010-12-15 12:21:27 +01:00
if( argc == 1 )
{
printf( "Usage: %s\n [-info <collection_file_name>]\n"
" [-img <image_file_name>]\n"
" [-vec <vec_file_name>]\n"
" [-bg <background_file_name>]\n [-num <number_of_samples = %d>]\n"
" [-bgcolor <background_color = %d>]\n"
" [-inv] [-randinv] [-bgthresh <background_color_threshold = %d>]\n"
" [-maxidev <max_intensity_deviation = %d>]\n"
" [-maxxangle <max_x_rotation_angle = %f>]\n"
" [-maxyangle <max_y_rotation_angle = %f>]\n"
" [-maxzangle <max_z_rotation_angle = %f>]\n"
" [-show [<scale = %f>]]\n"
" [-w <sample_width = %d>]\n [-h <sample_height = %d>]\n",
argv[0], num, bgcolor, bgthreshold, maxintensitydev,
maxxangle, maxyangle, maxzangle, scale, width, height );
return 0;
}
for( i = 1; i < argc; ++i )
{
if( !strcmp( argv[i], "-info" ) )
{
infoname = argv[++i];
}
else if( !strcmp( argv[i], "-img" ) )
{
imagename = argv[++i];
}
else if( !strcmp( argv[i], "-vec" ) )
{
vecname = argv[++i];
}
else if( !strcmp( argv[i], "-bg" ) )
{
bgfilename = argv[++i];
}
else if( !strcmp( argv[i], "-num" ) )
{
num = atoi( argv[++i] );
}
else if( !strcmp( argv[i], "-bgcolor" ) )
{
bgcolor = atoi( argv[++i] );
}
else if( !strcmp( argv[i], "-bgthresh" ) )
{
bgthreshold = atoi( argv[++i] );
}
else if( !strcmp( argv[i], "-inv" ) )
{
invert = 1;
}
else if( !strcmp( argv[i], "-randinv" ) )
{
invert = CV_RANDOM_INVERT;
}
else if( !strcmp( argv[i], "-maxidev" ) )
{
maxintensitydev = atoi( argv[++i] );
}
else if( !strcmp( argv[i], "-maxxangle" ) )
{
maxxangle = atof( argv[++i] );
}
else if( !strcmp( argv[i], "-maxyangle" ) )
{
maxyangle = atof( argv[++i] );
}
else if( !strcmp( argv[i], "-maxzangle" ) )
{
maxzangle = atof( argv[++i] );
}
else if( !strcmp( argv[i], "-show" ) )
{
showsamples = 1;
if( i+1 < argc && strlen( argv[i+1] ) > 0 && argv[i+1][0] != '-' )
{
double d;
d = strtod( argv[i+1], 0 );
if( d != -HUGE_VAL && d != HUGE_VAL && d > 0 ) scale = d;
++i;
}
}
else if( !strcmp( argv[i], "-w" ) )
{
width = atoi( argv[++i] );
}
else if( !strcmp( argv[i], "-h" ) )
{
height = atoi( argv[++i] );
}
}
printf( "Info file name: %s\n", ((infoname == NULL) ? nullname : infoname ) );
printf( "Img file name: %s\n", ((imagename == NULL) ? nullname : imagename ) );
printf( "Vec file name: %s\n", ((vecname == NULL) ? nullname : vecname ) );
printf( "BG file name: %s\n", ((bgfilename == NULL) ? nullname : bgfilename ) );
printf( "Num: %d\n", num );
printf( "BG color: %d\n", bgcolor );
printf( "BG threshold: %d\n", bgthreshold );
printf( "Invert: %s\n", (invert == CV_RANDOM_INVERT) ? "RANDOM"
: ( (invert) ? "TRUE" : "FALSE" ) );
printf( "Max intensity deviation: %d\n", maxintensitydev );
printf( "Max x angle: %g\n", maxxangle );
printf( "Max y angle: %g\n", maxyangle );
printf( "Max z angle: %g\n", maxzangle );
printf( "Show samples: %s\n", (showsamples) ? "TRUE" : "FALSE" );
if( showsamples )
{
printf( "Scale: %g\n", scale );
}
printf( "Width: %d\n", width );
printf( "Height: %d\n", height );
/* determine action */
if( imagename && vecname )
{
printf( "Create training samples from single image applying distortions...\n" );
cvCreateTrainingSamples( vecname, imagename, bgcolor, bgthreshold, bgfilename,
num, invert, maxintensitydev,
maxxangle, maxyangle, maxzangle,
showsamples, width, height );
printf( "Done\n" );
}
else if( imagename && bgfilename && infoname )
{
printf( "Create test samples from single image applying distortions...\n" );
cvCreateTestSamples( infoname, imagename, bgcolor, bgthreshold, bgfilename, num,
invert, maxintensitydev,
maxxangle, maxyangle, maxzangle, showsamples, width, height );
printf( "Done\n" );
}
else if( infoname && vecname )
{
int total;
printf( "Create training samples from images collection...\n" );
total = cvCreateTrainingSamplesFromInfo( infoname, vecname, num, showsamples,
width, height );
printf( "Done. Created %d samples\n", total );
}
else if( vecname )
{
printf( "View samples from vec file (press ESC to exit)...\n" );
cvShowVecSamples( vecname, width, height, scale );
printf( "Done\n" );
}
else
{
printf( "Nothing to do\n" );
}
return 0;
}