-
-///////////////////////////////////////////////////////////////////////////
-// 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 <http://www.gnu.org/licenses/>. //
-// //
-// Written by Francois Fleuret, (C) IDIAP //
-// Contact <francois.fleuret@idiap.ch> 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 <francois.fleuret@idiap.ch>
+ *
+ * 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 <http://www.gnu.org/licenses/>.
+ *
+ */
#include "parsing_pool.h"
#include "tools.h"
loss_machine->subsample(_nb_cells, labels, tmp_responses,
_nb_negative_cells, sample_nb_occurences, sample_responses,
1);
+
c = 0;
for(int i = 0; i < _nb_images; i++) {
for(int d = 0; d < _parsings[i]->nb_cells(); d++) {
delete[] sample_responses;
delete[] sample_nb_occurences;
+
+ delete[] labels;
+ delete[] tmp_responses;
}
void ParsingPool::update_cell_responses(PiFeatureFamily *pi_feature_family,
s = 0;
c = 0;
-// global.bar.init(&cout, _nb_images);
-
for(int i = 0; i < _nb_images; i++) {
int *to_collect = new int[_parsings[i]->nb_cells()];
delete[] to_collect;
c += _parsings[i]->nb_cells();
-
-// global.bar.refresh(&cout, i);
}
-// global.bar.finish(&cout);
-
delete[] tmp_responses;
delete[] labels;
}