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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 /*
22
23   A Parsing is associated to a LabelledImage and stores responses over
24   cells. We use it during training to remember the responses over all
25   the negative samples.
26
27 */
28
29 #ifndef PARSING_H
30 #define PARSING_H
31
32 #include "fusion_sort.h"
33 #include "pose_cell_hierarchy.h"
34 #include "classifier.h"
35 #include "labelled_image.h"
36
37 class Parsing {
38   LabelledImagePool *_image_pool;
39   int _image_index;
40   int _nb_cells, _nb_positives, _nb_negatives;
41
42   PoseCell *_cells;
43   scalar_t *_responses;
44   int *_labels;
45
46 public:
47
48   Parsing(LabelledImagePool *image_pool,
49           PoseCellHierarchy *hierarchy,
50           scalar_t proportion_negative_cells,
51           int image_index);
52
53   ~Parsing();
54
55   //////////////////////////////////////////////////////////////////////
56
57   inline int nb_cells() {
58     return _nb_cells;
59   }
60
61   inline int nb_positive_cells() {
62     return _nb_positives;
63   }
64
65   inline int nb_negative_cells() {
66     return _nb_negatives;
67   }
68
69   inline scalar_t response(int c) {
70     ASSERT(c >= 0 && c < _nb_cells);
71     return _responses[c];
72   }
73
74   inline int label(int c) {
75     ASSERT(c >= 0 && c < _nb_cells);
76     return _labels[c];
77   }
78
79   void down_one_level(PoseCellHierarchy *hierarchy, int level, int *sample_nb_occurences, scalar_t *sample_responses);
80
81   void update_cell_responses(PiFeatureFamily *pi_feature_family,
82                              Classifier *classifier);
83
84   void collect_samples(SampleSet *samples,
85                        PiFeatureFamily *pi_feature_family,
86                        int s,
87                        int *to_collect);
88 };
89
90 #endif