+++ /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*/
-
-/*
- * haartraining.cpp
- *
- * Train cascade classifier
- */
-
-#include <stdio.h>
-#include <string.h>
-#include <stdlib.h>
-
-#include <cvhaartraining.h>
-
-int main( int argc, char* argv[] )
-{
- int i = 0;
- char* nullname = "(NULL)";
-
- char* vecname = NULL;
- char* dirname = NULL;
- char* bgname = NULL;
-
- int npos = 2000;
- int nneg = 2000;
- int nstages = 14;
- int mem = 200;
- int numprecalculated = 0;
- int nsplits = 1;
- float minhitrate = 0.995F;
- float maxfalsealarm = 0.5F;
- float weightfraction = 0.95F;
- int mode = 0;
- int symmetric = 1;
- int equalweights = 0;
- int width = 24;
- int height = 24;
- const char* boosttypes[] = { "DAB", "RAB", "LB", "GAB" };
- int boosttype = 3;
- const char* stumperrors[] = { "misclass", "gini", "entropy" };
- int stumperror = 0;
- int maxtreesplits = 0;
- int minpos = 500;
-
- if( argc == 1 )
- {
- printf( "Usage: %s\n -data <dir_name>\n"
- " -vec <vec_file_name>\n"
- " -bg <background_file_name>\n"
- " [-npos <number_of_positive_samples = %d>]\n"
- " [-nneg <number_of_negative_samples = %d>]\n"
- " [-nstages <number_of_stages = %d>]\n"
- " [-nsplits <number_of_splits = %d>]\n"
- " [-mem <memory_in_MB = %d>]\n"
- " [-sym (default)] [-nonsym]\n"
- " [-minhitrate <min_hit_rate = %f>]\n"
- " [-maxfalsealarm <max_false_alarm_rate = %f>]\n"
- " [-weighttrimming <weight_trimming = %f>]\n"
- " [-eqw]\n"
- " [-mode <BASIC (default) | CORE | ALL>]\n"
- " [-w <sample_width = %d>]\n"
- " [-h <sample_height = %d>]\n"
- " [-bt <DAB | RAB | LB | GAB (default)>]\n"
- " [-err <misclass (default) | gini | entropy>]\n"
- " [-maxtreesplits <max_number_of_splits_in_tree_cascade = %d>]\n"
- " [-minpos <min_number_of_positive_samples_per_cluster = %d>]\n",
- argv[0], npos, nneg, nstages, nsplits, mem,
- minhitrate, maxfalsealarm, weightfraction, width, height,
- maxtreesplits, minpos );
-
- return 0;
- }
-
- for( i = 1; i < argc; i++ )
- {
- if( !strcmp( argv[i], "-data" ) )
- {
- dirname = argv[++i];
- }
- else if( !strcmp( argv[i], "-vec" ) )
- {
- vecname = argv[++i];
- }
- else if( !strcmp( argv[i], "-bg" ) )
- {
- bgname = argv[++i];
- }
- else if( !strcmp( argv[i], "-npos" ) )
- {
- npos = atoi( argv[++i] );
- }
- else if( !strcmp( argv[i], "-nneg" ) )
- {
- nneg = atoi( argv[++i] );
- }
- else if( !strcmp( argv[i], "-nstages" ) )
- {
- nstages = atoi( argv[++i] );
- }
- else if( !strcmp( argv[i], "-nsplits" ) )
- {
- nsplits = atoi( argv[++i] );
- }
- else if( !strcmp( argv[i], "-mem" ) )
- {
- mem = atoi( argv[++i] );
- }
- else if( !strcmp( argv[i], "-sym" ) )
- {
- symmetric = 1;
- }
- else if( !strcmp( argv[i], "-nonsym" ) )
- {
- symmetric = 0;
- }
- else if( !strcmp( argv[i], "-minhitrate" ) )
- {
- minhitrate = (float) atof( argv[++i] );
- }
- else if( !strcmp( argv[i], "-maxfalsealarm" ) )
- {
- maxfalsealarm = (float) atof( argv[++i] );
- }
- else if( !strcmp( argv[i], "-weighttrimming" ) )
- {
- weightfraction = (float) atof( argv[++i] );
- }
- else if( !strcmp( argv[i], "-eqw" ) )
- {
- equalweights = 1;
- }
- else if( !strcmp( argv[i], "-mode" ) )
- {
- char* tmp = argv[++i];
-
- if( !strcmp( tmp, "CORE" ) )
- {
- mode = 1;
- }
- else if( !strcmp( tmp, "ALL" ) )
- {
- mode = 2;
- }
- else
- {
- mode = 0;
- }
- }
- else if( !strcmp( argv[i], "-w" ) )
- {
- width = atoi( argv[++i] );
- }
- else if( !strcmp( argv[i], "-h" ) )
- {
- height = atoi( argv[++i] );
- }
- else if( !strcmp( argv[i], "-bt" ) )
- {
- i++;
- if( !strcmp( argv[i], boosttypes[0] ) )
- {
- boosttype = 0;
- }
- else if( !strcmp( argv[i], boosttypes[1] ) )
- {
- boosttype = 1;
- }
- else if( !strcmp( argv[i], boosttypes[2] ) )
- {
- boosttype = 2;
- }
- else
- {
- boosttype = 3;
- }
- }
- else if( !strcmp( argv[i], "-err" ) )
- {
- i++;
- if( !strcmp( argv[i], stumperrors[0] ) )
- {
- stumperror = 0;
- }
- else if( !strcmp( argv[i], stumperrors[1] ) )
- {
- stumperror = 1;
- }
- else
- {
- stumperror = 2;
- }
- }
- else if( !strcmp( argv[i], "-maxtreesplits" ) )
- {
- maxtreesplits = atoi( argv[++i] );
- }
- else if( !strcmp( argv[i], "-minpos" ) )
- {
- minpos = atoi( argv[++i] );
- }
- }
-
- numprecalculated = (int) ( ((size_t) mem) * ((size_t) 1048576) /
- ( ((size_t) (npos + nneg)) * (sizeof( float ) + sizeof( short )) ) );
-
- printf( "Data dir name: %s\n", ((dirname == NULL) ? nullname : dirname ) );
- printf( "Vec file name: %s\n", ((vecname == NULL) ? nullname : vecname ) );
- printf( "BG file name: %s\n", ((bgname == NULL) ? nullname : bgname ) );
- printf( "Num pos: %d\n", npos );
- printf( "Num neg: %d\n", nneg );
- printf( "Num stages: %d\n", nstages );
- printf( "Num splits: %d (%s as weak classifier)\n", nsplits,
- (nsplits == 1) ? "stump" : "tree" );
- printf( "Mem: %d MB\n", mem );
- printf( "Symmetric: %s\n", (symmetric) ? "TRUE" : "FALSE" );
- printf( "Min hit rate: %f\n", minhitrate );
- printf( "Max false alarm rate: %f\n", maxfalsealarm );
- printf( "Weight trimming: %f\n", weightfraction );
- printf( "Equal weights: %s\n", (equalweights) ? "TRUE" : "FALSE" );
- printf( "Mode: %s\n", ( (mode == 0) ? "BASIC" : ( (mode == 1) ? "CORE" : "ALL") ) );
- printf( "Width: %d\n", width );
- printf( "Height: %d\n", height );
- printf( "Max num of precalculated features: %d\n", numprecalculated );
- printf( "Applied boosting algorithm: %s\n", boosttypes[boosttype] );
- printf( "Error (valid only for Discrete and Real AdaBoost): %s\n",
- stumperrors[stumperror] );
-
- printf( "Max number of splits in tree cascade: %d\n", maxtreesplits );
- printf( "Min number of positive samples per cluster: %d\n", minpos );
-
- cvCreateTreeCascadeClassifier( dirname, vecname, bgname,
- npos, nneg, nstages, numprecalculated,
- nsplits,
- minhitrate, maxfalsealarm, weightfraction,
- mode, symmetric,
- equalweights, width, height,
- boosttype, stumperror,
- maxtreesplits, minpos );
-
- return 0;
-}
projects / opencv / blobdiff