-
-///////////////////////////////////////////////////////////////////////////
-// 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 "pose_cell_hierarchy.h"
#include "gaussian.h"
_nb_levels = global.nb_levels;
_min_head_radius = global.min_head_radius;
_max_head_radius = global.max_head_radius;
- _root_cell_nb_xy_per_scale = global.root_cell_nb_xy_per_radius;
+ _root_cell_nb_xy_per_radius = global.root_cell_nb_xy_per_radius;
LabelledImage *image;
int nb_total_targets = 0;
void PoseCellHierarchy::write(ostream *os) {
write_var(os, &_min_head_radius);
write_var(os, &_max_head_radius);
- write_var(os, &_root_cell_nb_xy_per_scale);
+ write_var(os, &_root_cell_nb_xy_per_radius);
write_var(os, &_nb_belly_cells);
for(int k = 0; k < _nb_belly_cells; k++)
write_var(os, &_belly_cells[k]);
delete[] _belly_cells;
read_var(is, &_min_head_radius);
read_var(is, &_max_head_radius);
- read_var(is, &_root_cell_nb_xy_per_scale);
+ read_var(is, &_root_cell_nb_xy_per_radius);
read_var(is, &_nb_belly_cells);
delete[] _belly_cells;
_belly_cells = new RelativeBellyPoseCell[_nb_belly_cells];