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45 * Train cascade classifier
52 #include "cvhaartraining.h"
54 int main( int argc, char* argv[] )
57 char* nullname = (char*)"(NULL)";
63 bool bg_vecfile = false;
69 float minhitrate = 0.995F;
70 float maxfalsealarm = 0.5F;
71 float weightfraction = 0.95F;
77 const char* boosttypes[] = { "DAB", "RAB", "LB", "GAB" };
79 const char* stumperrors[] = { "misclass", "gini", "entropy" };
81 int maxtreesplits = 0;
86 printf( "Usage: %s\n -data <dir_name>\n"
87 " -vec <vec_file_name>\n"
88 " -bg <background_file_name>\n"
90 " [-npos <number_of_positive_samples = %d>]\n"
91 " [-nneg <number_of_negative_samples = %d>]\n"
92 " [-nstages <number_of_stages = %d>]\n"
93 " [-nsplits <number_of_splits = %d>]\n"
94 " [-mem <memory_in_MB = %d>]\n"
95 " [-sym (default)] [-nonsym]\n"
96 " [-minhitrate <min_hit_rate = %f>]\n"
97 " [-maxfalsealarm <max_false_alarm_rate = %f>]\n"
98 " [-weighttrimming <weight_trimming = %f>]\n"
100 " [-mode <BASIC (default) | CORE | ALL>]\n"
101 " [-w <sample_width = %d>]\n"
102 " [-h <sample_height = %d>]\n"
103 " [-bt <DAB | RAB | LB | GAB (default)>]\n"
104 " [-err <misclass (default) | gini | entropy>]\n"
105 " [-maxtreesplits <max_number_of_splits_in_tree_cascade = %d>]\n"
106 " [-minpos <min_number_of_positive_samples_per_cluster = %d>]\n",
107 argv[0], npos, nneg, nstages, nsplits, mem,
108 minhitrate, maxfalsealarm, weightfraction, width, height,
109 maxtreesplits, minpos );
114 for( i = 1; i < argc; i++ )
116 if( !strcmp( argv[i], "-data" ) )
120 else if( !strcmp( argv[i], "-vec" ) )
124 else if( !strcmp( argv[i], "-bg" ) )
128 else if( !strcmp( argv[i], "-bg-vecfile" ) )
132 else if( !strcmp( argv[i], "-npos" ) )
134 npos = atoi( argv[++i] );
136 else if( !strcmp( argv[i], "-nneg" ) )
138 nneg = atoi( argv[++i] );
140 else if( !strcmp( argv[i], "-nstages" ) )
142 nstages = atoi( argv[++i] );
144 else if( !strcmp( argv[i], "-nsplits" ) )
146 nsplits = atoi( argv[++i] );
148 else if( !strcmp( argv[i], "-mem" ) )
150 mem = atoi( argv[++i] );
152 else if( !strcmp( argv[i], "-sym" ) )
156 else if( !strcmp( argv[i], "-nonsym" ) )
160 else if( !strcmp( argv[i], "-minhitrate" ) )
162 minhitrate = (float) atof( argv[++i] );
164 else if( !strcmp( argv[i], "-maxfalsealarm" ) )
166 maxfalsealarm = (float) atof( argv[++i] );
168 else if( !strcmp( argv[i], "-weighttrimming" ) )
170 weightfraction = (float) atof( argv[++i] );
172 else if( !strcmp( argv[i], "-eqw" ) )
176 else if( !strcmp( argv[i], "-mode" ) )
178 char* tmp = argv[++i];
180 if( !strcmp( tmp, "CORE" ) )
184 else if( !strcmp( tmp, "ALL" ) )
193 else if( !strcmp( argv[i], "-w" ) )
195 width = atoi( argv[++i] );
197 else if( !strcmp( argv[i], "-h" ) )
199 height = atoi( argv[++i] );
201 else if( !strcmp( argv[i], "-bt" ) )
204 if( !strcmp( argv[i], boosttypes[0] ) )
208 else if( !strcmp( argv[i], boosttypes[1] ) )
212 else if( !strcmp( argv[i], boosttypes[2] ) )
221 else if( !strcmp( argv[i], "-err" ) )
224 if( !strcmp( argv[i], stumperrors[0] ) )
228 else if( !strcmp( argv[i], stumperrors[1] ) )
237 else if( !strcmp( argv[i], "-maxtreesplits" ) )
239 maxtreesplits = atoi( argv[++i] );
241 else if( !strcmp( argv[i], "-minpos" ) )
243 minpos = atoi( argv[++i] );
247 printf( "Data dir name: %s\n", ((dirname == NULL) ? nullname : dirname ) );
248 printf( "Vec file name: %s\n", ((vecname == NULL) ? nullname : vecname ) );
249 printf( "BG file name: %s, is a vecfile: %s\n", ((bgname == NULL) ? nullname : bgname ), bg_vecfile ? "yes" : "no" );
250 printf( "Num pos: %d\n", npos );
251 printf( "Num neg: %d\n", nneg );
252 printf( "Num stages: %d\n", nstages );
253 printf( "Num splits: %d (%s as weak classifier)\n", nsplits,
254 (nsplits == 1) ? "stump" : "tree" );
255 printf( "Mem: %d MB\n", mem );
256 printf( "Symmetric: %s\n", (symmetric) ? "TRUE" : "FALSE" );
257 printf( "Min hit rate: %f\n", minhitrate );
258 printf( "Max false alarm rate: %f\n", maxfalsealarm );
259 printf( "Weight trimming: %f\n", weightfraction );
260 printf( "Equal weights: %s\n", (equalweights) ? "TRUE" : "FALSE" );
261 printf( "Mode: %s\n", ( (mode == 0) ? "BASIC" : ( (mode == 1) ? "CORE" : "ALL") ) );
262 printf( "Width: %d\n", width );
263 printf( "Height: %d\n", height );
264 //printf( "Max num of precalculated features: %d\n", numprecalculated );
265 printf( "Applied boosting algorithm: %s\n", boosttypes[boosttype] );
266 printf( "Error (valid only for Discrete and Real AdaBoost): %s\n",
267 stumperrors[stumperror] );
269 printf( "Max number of splits in tree cascade: %d\n", maxtreesplits );
270 printf( "Min number of positive samples per cluster: %d\n", minpos );
272 cvCreateTreeCascadeClassifier( dirname, vecname, bgname,
273 npos, nneg, nstages, mem,
275 minhitrate, maxfalsealarm, weightfraction,
277 equalweights, width, height,
278 boosttype, stumperror,
279 maxtreesplits, minpos, bg_vecfile );