2 * folded-ctf is an implementation of the folded hierarchy of
3 * classifiers for object detection, developed by Francois Fleuret
6 * Copyright (c) 2008 Idiap Research Institute, http://www.idiap.ch/
7 * Written by Francois Fleuret <francois.fleuret@idiap.ch>
9 * This file is part of folded-ctf.
11 * folded-ctf is free software: you can redistribute it and/or modify
12 * it under the terms of the GNU General Public License version 3 as
13 * published by the Free Software Foundation.
15 * folded-ctf is distributed in the hope that it will be useful, but
16 * WITHOUT ANY WARRANTY; without even the implied warranty of
17 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
18 * General Public License for more details.
20 * You should have received a copy of the GNU General Public License
21 * along with folded-ctf. If not, see <http://www.gnu.org/licenses/>.
27 A ParsingPool is a family of Parsings associated to all the images
28 of a LabelledImagePool.
32 #ifndef PARSING_POOL_H
33 #define PARSING_POOL_H
36 #include "pi_feature_family.h"
37 #include "classifier.h"
38 #include "labelled_image_pool.h"
39 #include "pose_cell_hierarchy.h"
43 long int _nb_cells, _nb_positive_cells, _nb_negative_cells;
48 inline int nb_cells() {
52 inline int nb_positive_cells() {
53 return _nb_positive_cells;
56 inline int nb_negative_cells() {
57 return _nb_negative_cells;
60 ParsingPool(LabelledImagePool *image_pool, PoseCellHierarchy *hierarchy, scalar_t proportion_negative_cells);
64 // The parameter level is the resulting level, not the starting one,
65 // hence should always be strictly positive
66 void down_one_level(LossMachine *loss_machine, PoseCellHierarchy *hierarchy, int level);
68 void update_cell_responses(PiFeatureFamily *pi_feature_family,
69 Classifier *classifier);
71 // Collect all positive and sample negative examples
72 void weighted_sampling(LossMachine *loss_machine,
73 PiFeatureFamily *pi_feature_family,
74 SampleSet *sample_set,
77 void write_roc(ofstream *out);