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 as published
13 * by the Free Software Foundation, either version 3 of the License,
14 * or (at your option) any later version.
16 * folded-ctf is distributed in the hope that it will be useful, but
17 * WITHOUT ANY WARRANTY; without even the implied warranty of
18 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
19 * General Public License for more details.
21 * You should have received a copy of the GNU General Public License
22 * along with folded-ctf. If not, see <http://www.gnu.org/licenses/>.
28 This class is almost purely virtual. It represents a classifier that
29 can be trained from a SampleSet and able to provide a scalar
30 response on any test sample. Additional methods are required for
31 persistence and select the possibly very few used features.
39 #include "pi_feature_family.h"
40 #include "sample_set.h"
41 #include "pose_cell_hierarchy.h"
42 #include "labelled_image_pool.h"
43 #include "loss_machine.h"
45 class Classifier : public Storable {
47 virtual ~Classifier();
49 // Evaluate on a sample
50 virtual scalar_t response(SampleSet *sample_set, int n_sample) = 0;
52 // Train the classifier
53 virtual void train(LossMachine *loss_machine, SampleSet *train, scalar_t *response) = 0;
55 // Tag in the boolean array which features are actually used
56 virtual void tag_used_features(bool *used) = 0;
57 // Change the indexes of the used features
58 virtual void re_index_features(int *new_indexes) = 0;
61 virtual void read(istream *is) = 0;
62 virtual void write(ostream *os) = 0;
64 void extract_pi_feature_family(PiFeatureFamily *full_pi_feature_family,
65 PiFeatureFamily *extracted_pi_feature_family);