Mercurial > hgrepos > Python2 > PyMuPDF

annotate mupdf-source/thirdparty/tesseract/src/wordrec/lm_pain_points.h @ 40:aa33339d6b8a upstream

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ADD: MuPDF v1.26.10: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.5.
author Franz Glasner <fzglas.hg@dom66.de>
date Sat, 11 Oct 2025 11:31:38 +0200
parents b50eed0cc0ef
children
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1 ///////////////////////////////////////////////////////////////////////
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2 // File: lm_pain_points.h
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3 // Description: Functions that utilize the knowledge about the properties
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4 // of the paths explored by the segmentation search in order
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5 // to generate "pain points" - the locations in the ratings
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6 // matrix which should be classified next.
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7 // Author: Rika Antonova
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8 //
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9 // (C) Copyright 2012, Google Inc.
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10 // Licensed under the Apache License, Version 2.0 (the "License");
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11 // you may not use this file except in compliance with the License.
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12 // You may obtain a copy of the License at
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13 // http://www.apache.org/licenses/LICENSE-2.0
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14 // Unless required by applicable law or agreed to in writing, software
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15 // distributed under the License is distributed on an "AS IS" BASIS,
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16 // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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17 // See the License for the specific language governing permissions and
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18 // limitations under the License.
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19 //
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20 ///////////////////////////////////////////////////////////////////////
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21
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22 #ifndef TESSERACT_WORDREC_PAIN_POINTS_H_
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23 #define TESSERACT_WORDREC_PAIN_POINTS_H_
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24
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25 #include "genericheap.h" // for GenericHeap
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26 #include "matrix.h" // for MATRIX_COORD (ptr only), MatrixCoordPair
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27 #include "stopper.h" // for DANGERR
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29 namespace tesseract {
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30
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31 class Dict;
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32 struct ViterbiStateEntry;
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33 class WERD_RES;
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34
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35 // Heap of pain points used for determining where to chop/join.
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36 using PainPointHeap = GenericHeap<MatrixCoordPair>;
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37
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38 // Types of pain points (ordered in the decreasing level of importance).
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39 enum LMPainPointsType {
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40 LM_PPTYPE_BLAMER,
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41 LM_PPTYPE_AMBIG,
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42 LM_PPTYPE_PATH,
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43 LM_PPTYPE_SHAPE,
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44
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45 LM_PPTYPE_NUM
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46 };
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47
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48 static const char *const LMPainPointsTypeName[] = {
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49 "LM_PPTYPE_BLAMER",
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50 "LM_PPTYPE_AMBIGS",
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51 "LM_PPTYPE_PATH",
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52 "LM_PPTYPE_SHAPE",
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53 };
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54
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55 class LMPainPoints {
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56 public:
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57 static const float kDefaultPainPointPriorityAdjustment;
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58 // If there is a significant drop in character ngram probability or a
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59 // dangerous ambiguity make the thresholds on what blob combinations
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60 // can be classified looser.
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61 static const float kLooseMaxCharWhRatio;
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62 // Returns a description of the type of a pain point.
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63 static const char *PainPointDescription(LMPainPointsType type) {
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64 return LMPainPointsTypeName[type];
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65 }
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66
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67 LMPainPoints(int max, float rat, bool fp, const Dict *d, int deb)
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68 : max_heap_size_(max)
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69 , max_char_wh_ratio_(rat)
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70 , fixed_pitch_(fp)
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71 , dict_(d)
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72 , debug_level_(deb) {}
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73 ~LMPainPoints() = default;
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74
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75 // Returns true if the heap of pain points of pp_type is not empty().
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76 inline bool HasPainPoints(LMPainPointsType pp_type) const {
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77 return !pain_points_heaps_[pp_type].empty();
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78 }
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79
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80 // Dequeues the next pain point from the pain points queue and copies
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81 // its contents and priority to *pp and *priority.
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82 // Returns LM_PPTYPE_NUM if pain points queue is empty, otherwise the type.
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83 LMPainPointsType Deque(MATRIX_COORD *pp, float *priority);
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84
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85 // Clears pain points heap.
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86 void Clear() {
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87 for (auto &pain_points_heap : pain_points_heaps_) {
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88 pain_points_heap.clear();
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89 }
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90 }
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91
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92 // For each cell, generate a "pain point" if the cell is not classified
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93 // and has a left or right neighbor that was classified.
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94 void GenerateInitial(WERD_RES *word_res);
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95
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96 // Generate pain points from the given path.
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97 void GenerateFromPath(float rating_cert_scale, ViterbiStateEntry *vse, WERD_RES *word_res);
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98
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99 // Generate pain points from dangerous ambiguities in best choice.
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100 void GenerateFromAmbigs(const DANGERR &fixpt, ViterbiStateEntry *vse, WERD_RES *word_res);
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101
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102 // Adds a pain point to classify chunks_record->ratings(col, row).
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103 // Returns true if a new pain point was added to an appropriate heap.
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104 // Pain point priority is set to special_priority for pain points of
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105 // LM_PPTYPE_AMBIG or LM_PPTYPE_PATH, for other pain points
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106 // AssociateStats::gap_sum is used.
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107 bool GeneratePainPoint(int col, int row, LMPainPointsType pp_type, float special_priority,
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108 bool ok_to_extend, float max_char_wh_ratio, WERD_RES *word_res);
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109
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110 // Adjusts the pain point coordinates to cope with expansion of the ratings
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111 // matrix due to a split of the blob with the given index.
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112 void RemapForSplit(int index);
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113
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114 private:
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115 // Priority queues containing pain points generated by the language model
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116 // The priority is set by the language model components, adjustments like
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117 // seam cost and width priority are factored into the priority.
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118 PainPointHeap pain_points_heaps_[LM_PPTYPE_NUM];
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119 // Maximum number of points to keep in the heap.
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120 int max_heap_size_;
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121 // Maximum character width/height ratio.
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122 float max_char_wh_ratio_;
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123 // Set to true if fixed pitch should be assumed.
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124 bool fixed_pitch_;
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125 // Cached pointer to dictionary.
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126 const Dict *dict_;
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127 // Debug level for print statements.
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128 int debug_level_;
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129 };
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130
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131 } // namespace tesseract
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132
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133 #endif // TESSERACT_WORDREC_PAIN_POINTS_H_