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[folded-ctf.git] / sample_set.h
1
2 ///////////////////////////////////////////////////////////////////////////
3 // This program is free software: you can redistribute it and/or modify  //
4 // it under the terms of the version 3 of the GNU General Public License //
5 // as published by the Free Software Foundation.                         //
6 //                                                                       //
7 // This program is distributed in the hope that it will be useful, but   //
8 // WITHOUT ANY WARRANTY; without even the implied warranty of            //
9 // MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU      //
10 // General Public License for more details.                              //
11 //                                                                       //
12 // You should have received a copy of the GNU General Public License     //
13 // along with this program. If not, see <http://www.gnu.org/licenses/>.  //
14 //                                                                       //
15 // Written by Francois Fleuret                                           //
16 // (C) Idiap Research Institute                                          //
17 //                                                                       //
18 // Contact <francois.fleuret@idiap.ch> for comments & bug reports        //
19 ///////////////////////////////////////////////////////////////////////////
20
21 #ifndef SAMPLE_SET_H
22 #define SAMPLE_SET_H
23
24 #include "pose_cell.h"
25 #include "pi_feature_family.h"
26 #include "shared_responses.h"
27
28 class SampleSet {
29   int _nb_features;
30   int _nb_samples;
31   SharedResponses *_shared_feature_values;
32   scalar_t **_feature_values;
33   int *_labels;
34
35 public:
36
37   inline int nb_samples() { return _nb_samples; }
38   inline int nb_features() { return _nb_features; }
39
40   inline int label(int n_sample) {
41     ASSERT(n_sample >= 0 && n_sample < _nb_samples);
42     return _labels[n_sample];
43   }
44
45   inline scalar_t feature_value(int n_sample, int n_feature) {
46     ASSERT(n_sample >= 0 && n_sample < _nb_samples &&
47            n_feature >= 0 && n_feature < _nb_features);
48     ASSERT(!isnan(_feature_values[n_sample][n_feature]));
49     return _feature_values[n_sample][n_feature];
50   }
51
52   SampleSet(int nb_features, int nb_samples);
53   SampleSet(SampleSet *father, int nb, int *indexes);
54
55   ~SampleSet();
56
57   void set_sample(int n,
58                   PiFeatureFamily *pi_feature_family,
59                   RichImage *image,
60                   PoseCell *cell,
61                   int label);
62 };
63
64 #endif