X-Git-Url: https://www.fleuret.org/cgi-bin/gitweb/gitweb.cgi?p=folded-ctf.git;a=blobdiff_plain;f=global.cc;h=ee1aaca95567fe01c998bb95e33762523aab316f;hp=8016c41d3a1fa69dd97324fe8b53f3f59346d317;hb=HEAD;hpb=ccc2785ee823c934edcededc5c6448e4f9488f8b diff --git a/global.cc b/global.cc index 8016c41..ee1aaca 100644 --- a/global.cc +++ b/global.cc @@ -1,20 +1,26 @@ - -/////////////////////////////////////////////////////////////////////////// -// This program is free software: you can redistribute it and/or modify // -// it under the terms of the version 3 of the GNU General Public License // -// as published by the Free Software Foundation. // -// // -// This program is distributed in the hope that it will be useful, but // -// WITHOUT ANY WARRANTY; without even the implied warranty of // -// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU // -// General Public License for more details. // -// // -// You should have received a copy of the GNU General Public License // -// along with this program. If not, see . // -// // -// Written by Francois Fleuret, (C) IDIAP // -// Contact for comments & bug reports // -/////////////////////////////////////////////////////////////////////////// +/* + * folded-ctf is an implementation of the folded hierarchy of + * classifiers for object detection, developed by Francois Fleuret + * and Donald Geman. + * + * Copyright (c) 2008 Idiap Research Institute, http://www.idiap.ch/ + * Written by Francois Fleuret + * + * This file is part of folded-ctf. + * + * folded-ctf is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License version 3 as + * published by the Free Software Foundation. + * + * folded-ctf is distributed in the hope that it will be useful, but + * WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU + * General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with folded-ctf. If not, see . + * + */ #include @@ -32,7 +38,7 @@ Global::~Global() { void Global::init_parser(ParamParser *parser) { // The nice level of the process - parser->add_association("niceness", "5", false); + parser->add_association("niceness", "15", false); // Seed to initialize the random generator parser->add_association("random-seed", "0", false); @@ -54,6 +60,8 @@ void Global::init_parser(ParamParser *parser) { // How many images to produce/process parser->add_association("nb-images", "-1", false); + // What is the number of the feature to show in the images + parser->add_association("material-feature-nb", "-1", false); // What is the maximum tree depth parser->add_association("tree-depth-max", "1", false); @@ -66,11 +74,11 @@ void Global::init_parser(ParamParser *parser) { // Do we allow head-belly registration parser->add_association("force-head-belly-independence", "no", false); // How many weak-learners in every classifier - parser->add_association("nb-weak-learners-per-classifier", "10", false); + parser->add_association("nb-weak-learners-per-classifier", "100", false); // How many classifiers per level parser->add_association("nb-classifiers-per-level", "25", false); // How many levels - parser->add_association("nb-levels", "1", false); + parser->add_association("nb-levels", "2", false); // Proportion of images from the pool to use for training parser->add_association("proportion-for-train", "0.5", false); @@ -90,7 +98,7 @@ void Global::init_parser(ParamParser *parser) { parser->add_association("write-tag-images", "no", false); // What is the wanted true overall positive rate - parser->add_association("wanted-true-positive-rate", "0.5", false); + parser->add_association("wanted-true-positive-rate", "0.75", false); // How many rates to try for the sequence of tests parser->add_association("nb-wanted-true-positive-rates", "10", false); @@ -99,7 +107,7 @@ void Global::init_parser(ParamParser *parser) { parser->add_association("min-head-radius", "25", false); // What is the maximum size of the heads to detect. parser->add_association("max-head-radius", "200", false); - // How many translation cell for one scale when generating the "top + // How many translation cell per radius when generating the "top // level" cells for an image. parser->add_association("root-cell-nb-xy-per-radius", "5", false); @@ -131,8 +139,6 @@ void Global::read_parser(ParamParser *parser) { char *l = parser->get_association("loss-type"); if(strcmp(l, "exponential") == 0) loss_type = LOSS_EXPONENTIAL; - else if(strcmp(l, "ev-regularized") == 0) - loss_type = LOSS_EV_REGULARIZED; else if(strcmp(l, "hinge") == 0) loss_type = LOSS_HINGE; else if(strcmp(l, "logistic") == 0) @@ -143,6 +149,7 @@ void Global::read_parser(ParamParser *parser) { } nb_images = parser->get_association_int("nb-images"); + material_feature_nb = parser->get_association_int("material-feature-nb"); tree_depth_max = parser->get_association_int("tree-depth-max"); nb_weak_learners_per_classifier = parser->get_association_int("nb-weak-learners-per-classifier"); nb_classifiers_per_level = parser->get_association_int("nb-classifiers-per-level");