Mercurial > hgrepos > Python2 > PyMuPDF
annotate mupdf-source/thirdparty/tesseract/src/wordrec/lm_pain_points.h @ 21:2f43e400f144
Provide an "all" target to build both the sdist and the wheel
| author | Franz Glasner <fzglas.hg@dom66.de> |
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| date | Fri, 19 Sep 2025 10:28:53 +0200 |
| parents | b50eed0cc0ef |
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| rev | line source |
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2
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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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28 |
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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_ |
