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 This class is almost purely virtual. It represents a classifier that
28 can be trained from a SampleSet and able to provide a scalar
29 response on any test sample. Additional methods are required for
30 persistence and select the possibly very few used features.
38 #include "pi_feature_family.h"
39 #include "sample_set.h"
40 #include "pose_cell_hierarchy.h"
41 #include "labelled_image_pool.h"
42 #include "loss_machine.h"
44 class Classifier : public Storable {
46 virtual ~Classifier();
48 // Evaluate on a sample
49 virtual scalar_t response(SampleSet *sample_set, int n_sample) = 0;
51 // Train the classifier
52 virtual void train(LossMachine *loss_machine, SampleSet *train, scalar_t *response) = 0;
54 // Tag in the boolean array which features are actually used
55 virtual void tag_used_features(bool *used) = 0;
56 // Change the indexes of the used features
57 virtual void re_index_features(int *new_indexes) = 0;
60 virtual void read(istream *is) = 0;
61 virtual void write(ostream *os) = 0;
63 void extract_pi_feature_family(PiFeatureFamily *full_pi_feature_family,
64 PiFeatureFamily *extracted_pi_feature_family);