Mercurial > hgrepos > Python2 > PyMuPDF
annotate mupdf-source/thirdparty/tesseract/src/classify/classify.h @ 21:2f43e400f144
Provide an "all" target to build both the sdist and the wheel
| author | Franz Glasner <fzglas.hg@dom66.de> |
|---|---|
| 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: classify.h |
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3 // Description: classify class. |
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4 // Author: Samuel Charron |
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5 // |
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6 // (C) Copyright 2006, Google Inc. |
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7 // Licensed under the Apache License, Version 2.0 (the "License"); |
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8 // you may not use this file except in compliance with the License. |
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9 // You may obtain a copy of the License at |
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10 // http://www.apache.org/licenses/LICENSE-2.0 |
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11 // Unless required by applicable law or agreed to in writing, software |
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12 // distributed under the License is distributed on an "AS IS" BASIS, |
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13 // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
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14 // See the License for the specific language governing permissions and |
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15 // limitations under the License. |
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16 // |
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17 /////////////////////////////////////////////////////////////////////// |
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18 |
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19 #ifndef TESSERACT_CLASSIFY_CLASSIFY_H_ |
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20 #define TESSERACT_CLASSIFY_CLASSIFY_H_ |
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21 |
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22 // Include automatically generated configuration file if running autoconf. |
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23 #ifdef HAVE_CONFIG_H |
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24 # include "config_auto.h" |
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25 #endif |
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26 |
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27 #ifdef DISABLED_LEGACY_ENGINE |
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28 |
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29 # include "ccstruct.h" |
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30 # include "dict.h" |
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31 |
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32 namespace tesseract { |
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33 |
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34 class Classify : public CCStruct { |
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35 public: |
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36 Classify(); |
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37 virtual ~Classify(); |
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38 virtual Dict &getDict() { |
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39 return dict_; |
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40 } |
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41 |
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42 // Member variables. |
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43 |
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44 INT_VAR_H(classify_debug_level); |
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45 BOOL_VAR_H(classify_bln_numeric_mode); |
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46 double_VAR_H(classify_max_rating_ratio); |
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47 double_VAR_H(classify_max_certainty_margin); |
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48 |
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49 private: |
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50 Dict dict_; |
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51 }; |
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52 |
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53 } // namespace tesseract |
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54 |
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55 #else // DISABLED_LEGACY_ENGINE not defined |
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56 |
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57 # include "adaptive.h" |
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58 # include "ccstruct.h" |
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59 # include "dict.h" |
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60 # include "featdefs.h" |
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61 # include "fontinfo.h" |
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62 # include "intfx.h" |
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63 # include "intmatcher.h" |
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64 # include "normalis.h" |
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65 # include "ocrfeatures.h" |
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66 # include "ratngs.h" |
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67 # include "unicity_table.h" |
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68 |
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69 namespace tesseract { |
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70 |
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71 class ScrollView; |
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72 class WERD_CHOICE; |
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73 class WERD_RES; |
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74 struct ADAPT_RESULTS; |
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75 struct NORM_PROTOS; |
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76 |
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77 static const int kUnknownFontinfoId = -1; |
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78 static const int kBlankFontinfoId = -2; |
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79 |
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80 class ShapeClassifier; |
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81 struct ShapeRating; |
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82 class ShapeTable; |
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83 struct UnicharRating; |
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84 |
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85 // How segmented is a blob. In this enum, character refers to a classifiable |
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86 // unit, but that is too long and character is usually easier to understand. |
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87 enum CharSegmentationType { |
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88 CST_FRAGMENT, // A partial character. |
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89 CST_WHOLE, // A correctly segmented character. |
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90 CST_IMPROPER, // More than one but less than 2 characters. |
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91 CST_NGRAM // Multiple characters. |
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92 }; |
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93 |
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94 class TESS_API Classify : public CCStruct { |
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95 public: |
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96 Classify(); |
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97 ~Classify() override; |
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98 virtual Dict &getDict() { |
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99 return dict_; |
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100 } |
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101 |
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102 const ShapeTable *shape_table() const { |
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103 return shape_table_; |
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104 } |
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105 |
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106 // Takes ownership of the given classifier, and uses it for future calls |
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107 // to CharNormClassifier. |
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108 void SetStaticClassifier(ShapeClassifier *static_classifier); |
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109 |
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110 // Adds a noise classification result that is a bit worse than the worst |
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111 // current result, or the worst possible result if no current results. |
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112 void AddLargeSpeckleTo(int blob_length, BLOB_CHOICE_LIST *choices); |
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113 |
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114 // Returns true if the blob is small enough to be a large speckle. |
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115 bool LargeSpeckle(const TBLOB &blob); |
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116 |
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117 /* adaptive.cpp ************************************************************/ |
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118 int GetFontinfoId(ADAPT_CLASS_STRUCT *Class, uint8_t ConfigId); |
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119 // Runs the class pruner from int_templates on the given features, returning |
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120 // the number of classes output in results. |
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121 // int_templates Class pruner tables |
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122 // num_features Number of features in blob |
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123 // features Array of features |
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124 // normalization_factors (input) Array of int_templates->NumClasses fudge |
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125 // factors from blob normalization process. |
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126 // (Indexed by CLASS_INDEX) |
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127 // expected_num_features (input) Array of int_templates->NumClasses |
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128 // expected number of features for each class. |
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129 // (Indexed by CLASS_INDEX) |
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130 // results (output) Sorted Array of pruned classes. |
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131 // Array must be sized to take the maximum possible |
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132 // number of outputs : int_templates->NumClasses. |
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133 int PruneClasses(const INT_TEMPLATES_STRUCT *int_templates, int num_features, int keep_this, |
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134 const INT_FEATURE_STRUCT *features, const uint8_t *normalization_factors, |
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135 const uint16_t *expected_num_features, std::vector<CP_RESULT_STRUCT> *results); |
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136 void ReadNewCutoffs(TFile *fp, uint16_t *Cutoffs); |
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137 void PrintAdaptedTemplates(FILE *File, ADAPT_TEMPLATES_STRUCT *Templates); |
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138 void WriteAdaptedTemplates(FILE *File, ADAPT_TEMPLATES_STRUCT *Templates); |
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139 ADAPT_TEMPLATES_STRUCT *ReadAdaptedTemplates(TFile *File); |
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140 /* normmatch.cpp ************************************************************/ |
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141 float ComputeNormMatch(CLASS_ID ClassId, const FEATURE_STRUCT &feature, bool DebugMatch); |
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142 void FreeNormProtos(); |
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143 NORM_PROTOS *ReadNormProtos(TFile *fp); |
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144 /* protos.cpp ***************************************************************/ |
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145 void ConvertProto(PROTO_STRUCT *Proto, int ProtoId, INT_CLASS_STRUCT *Class); |
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146 INT_TEMPLATES_STRUCT *CreateIntTemplates(CLASSES FloatProtos, const UNICHARSET &target_unicharset); |
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147 /* adaptmatch.cpp ***********************************************************/ |
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148 |
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149 // Learns the given word using its chopped_word, seam_array, denorm, |
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150 // box_word, best_state, and correct_text to learn both correctly and |
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151 // incorrectly segmented blobs. If fontname is not nullptr, then LearnBlob |
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152 // is called and the data will be saved in an internal buffer. |
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153 // Otherwise AdaptToBlob is called for adaption within a document. |
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154 void LearnWord(const char *fontname, WERD_RES *word); |
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155 |
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156 // Builds a blob of length fragments, from the word, starting at start, |
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157 // and then learns it, as having the given correct_text. |
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158 // If fontname is not nullptr, then LearnBlob is called and the data will be |
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159 // saved in an internal buffer for static training. |
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160 // Otherwise AdaptToBlob is called for adaption within a document. |
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161 // threshold is a magic number required by AdaptToChar and generated by |
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162 // ComputeAdaptionThresholds. |
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163 // Although it can be partly inferred from the string, segmentation is |
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164 // provided to explicitly clarify the character segmentation. |
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165 void LearnPieces(const char *fontname, int start, int length, float threshold, |
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166 CharSegmentationType segmentation, const char *correct_text, WERD_RES *word); |
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167 void InitAdaptiveClassifier(TessdataManager *mgr); |
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168 void InitAdaptedClass(TBLOB *Blob, CLASS_ID ClassId, int FontinfoId, ADAPT_CLASS_STRUCT *Class, |
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169 ADAPT_TEMPLATES_STRUCT *Templates); |
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170 void AmbigClassifier(const std::vector<INT_FEATURE_STRUCT> &int_features, |
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171 const INT_FX_RESULT_STRUCT &fx_info, const TBLOB *blob, |
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172 INT_TEMPLATES_STRUCT *templates, ADAPT_CLASS_STRUCT **classes, UNICHAR_ID *ambiguities, |
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173 ADAPT_RESULTS *results); |
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174 void MasterMatcher(INT_TEMPLATES_STRUCT *templates, int16_t num_features, |
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175 const INT_FEATURE_STRUCT *features, const uint8_t *norm_factors, |
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176 ADAPT_CLASS_STRUCT **classes, int debug, int matcher_multiplier, const TBOX &blob_box, |
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177 const std::vector<CP_RESULT_STRUCT> &results, ADAPT_RESULTS *final_results); |
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178 // Converts configs to fonts, and if the result is not adapted, and a |
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179 // shape_table_ is present, the shape is expanded to include all |
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180 // unichar_ids represented, before applying a set of corrections to the |
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181 // distance rating in int_result, (see ComputeCorrectedRating.) |
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182 // The results are added to the final_results output. |
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183 void ExpandShapesAndApplyCorrections(ADAPT_CLASS_STRUCT **classes, bool debug, int class_id, int bottom, |
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184 int top, float cp_rating, int blob_length, |
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185 int matcher_multiplier, const uint8_t *cn_factors, |
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186 UnicharRating *int_result, ADAPT_RESULTS *final_results); |
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187 // Applies a set of corrections to the distance im_rating, |
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188 // including the cn_correction, miss penalty and additional penalty |
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189 // for non-alnums being vertical misfits. Returns the corrected distance. |
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190 double ComputeCorrectedRating(bool debug, int unichar_id, double cp_rating, double im_rating, |
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191 int feature_misses, int bottom, int top, int blob_length, |
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192 int matcher_multiplier, const uint8_t *cn_factors); |
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193 void ConvertMatchesToChoices(const DENORM &denorm, const TBOX &box, ADAPT_RESULTS *Results, |
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194 BLOB_CHOICE_LIST *Choices); |
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195 void AddNewResult(const UnicharRating &new_result, ADAPT_RESULTS *results); |
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196 int GetAdaptiveFeatures(TBLOB *Blob, INT_FEATURE_ARRAY IntFeatures, FEATURE_SET *FloatFeatures); |
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197 |
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198 # ifndef GRAPHICS_DISABLED |
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199 void DebugAdaptiveClassifier(TBLOB *Blob, ADAPT_RESULTS *Results); |
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200 # endif |
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201 PROTO_ID MakeNewTempProtos(FEATURE_SET Features, int NumBadFeat, FEATURE_ID BadFeat[], |
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202 INT_CLASS_STRUCT *IClass, ADAPT_CLASS_STRUCT *Class, BIT_VECTOR TempProtoMask); |
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203 int MakeNewTemporaryConfig(ADAPT_TEMPLATES_STRUCT *Templates, CLASS_ID ClassId, int FontinfoId, |
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204 int NumFeatures, INT_FEATURE_ARRAY Features, |
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205 FEATURE_SET FloatFeatures); |
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206 void MakePermanent(ADAPT_TEMPLATES_STRUCT *Templates, CLASS_ID ClassId, int ConfigId, TBLOB *Blob); |
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207 void PrintAdaptiveMatchResults(const ADAPT_RESULTS &results); |
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208 void RemoveExtraPuncs(ADAPT_RESULTS *Results); |
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209 void RemoveBadMatches(ADAPT_RESULTS *Results); |
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210 void SetAdaptiveThreshold(float Threshold); |
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211 void ShowBestMatchFor(int shape_id, const INT_FEATURE_STRUCT *features, int num_features); |
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212 // Returns a string for the classifier class_id: either the corresponding |
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213 // unicharset debug_str or the shape_table_ debug str. |
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214 std::string ClassIDToDebugStr(const INT_TEMPLATES_STRUCT *templates, int class_id, |
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215 int config_id) const; |
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216 // Converts a classifier class_id index with a config ID to: |
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217 // shape_table_ present: a shape_table_ index OR |
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218 // No shape_table_: a font ID. |
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219 // Without shape training, each class_id, config pair represents a single |
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220 // unichar id/font combination, so this function looks up the corresponding |
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221 // font id. |
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222 // With shape training, each class_id, config pair represents a single |
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223 // shape table index, so the fontset_table stores the shape table index, |
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224 // and the shape_table_ must be consulted to obtain the actual unichar_id/ |
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225 // font combinations that the shape represents. |
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226 int ClassAndConfigIDToFontOrShapeID(int class_id, int int_result_config) const; |
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227 // Converts a shape_table_ index to a classifier class_id index (not a |
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228 // unichar-id!). Uses a search, so not fast. |
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229 int ShapeIDToClassID(int shape_id) const; |
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230 UNICHAR_ID *BaselineClassifier(TBLOB *Blob, const std::vector<INT_FEATURE_STRUCT> &int_features, |
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231 const INT_FX_RESULT_STRUCT &fx_info, ADAPT_TEMPLATES_STRUCT *Templates, |
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232 ADAPT_RESULTS *Results); |
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233 int CharNormClassifier(TBLOB *blob, const TrainingSample &sample, ADAPT_RESULTS *adapt_results); |
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234 |
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235 // As CharNormClassifier, but operates on a TrainingSample and outputs to |
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236 // a vector of ShapeRating without conversion to classes. |
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237 int CharNormTrainingSample(bool pruner_only, int keep_this, const TrainingSample &sample, |
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238 std::vector<UnicharRating> *results); |
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239 UNICHAR_ID *GetAmbiguities(TBLOB *Blob, CLASS_ID CorrectClass); |
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240 void DoAdaptiveMatch(TBLOB *Blob, ADAPT_RESULTS *Results); |
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241 void AdaptToChar(TBLOB *Blob, CLASS_ID ClassId, int FontinfoId, float Threshold, |
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242 ADAPT_TEMPLATES_STRUCT *adaptive_templates); |
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243 void DisplayAdaptedChar(TBLOB *blob, INT_CLASS_STRUCT *int_class); |
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244 bool AdaptableWord(WERD_RES *word); |
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245 void EndAdaptiveClassifier(); |
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246 void SetupPass1(); |
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247 void SetupPass2(); |
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248 void AdaptiveClassifier(TBLOB *Blob, BLOB_CHOICE_LIST *Choices); |
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249 void ClassifyAsNoise(ADAPT_RESULTS *Results); |
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250 void ResetAdaptiveClassifierInternal(); |
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251 void SwitchAdaptiveClassifier(); |
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252 void StartBackupAdaptiveClassifier(); |
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253 |
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254 int GetCharNormFeature(const INT_FX_RESULT_STRUCT &fx_info, INT_TEMPLATES_STRUCT *templates, |
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255 uint8_t *pruner_norm_array, uint8_t *char_norm_array); |
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256 // Computes the char_norm_array for the unicharset and, if not nullptr, the |
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257 // pruner_array as appropriate according to the existence of the shape_table. |
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258 // The norm_feature is deleted as it is almost certainly no longer needed. |
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259 void ComputeCharNormArrays(FEATURE_STRUCT *norm_feature, INT_TEMPLATES_STRUCT *templates, |
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260 uint8_t *char_norm_array, uint8_t *pruner_array); |
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261 |
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262 bool TempConfigReliable(CLASS_ID class_id, const TEMP_CONFIG_STRUCT *config); |
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263 void UpdateAmbigsGroup(CLASS_ID class_id, TBLOB *Blob); |
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264 |
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265 bool AdaptiveClassifierIsFull() const { |
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266 return NumAdaptationsFailed > 0; |
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267 } |
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268 bool AdaptiveClassifierIsEmpty() const { |
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269 return AdaptedTemplates->NumPermClasses == 0; |
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270 } |
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271 bool LooksLikeGarbage(TBLOB *blob); |
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272 #ifndef GRAPHICS_DISABLED |
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273 void RefreshDebugWindow(ScrollView **win, const char *msg, int y_offset, const TBOX &wbox); |
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274 #endif |
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275 // intfx.cpp |
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276 // Computes the DENORMS for bl(baseline) and cn(character) normalization |
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277 // during feature extraction. The input denorm describes the current state |
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278 // of the blob, which is usually a baseline-normalized word. |
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279 // The Transforms setup are as follows: |
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280 // Baseline Normalized (bl) Output: |
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281 // We center the grapheme by aligning the x-coordinate of its centroid with |
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282 // x=128 and leaving the already-baseline-normalized y as-is. |
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283 // |
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284 // Character Normalized (cn) Output: |
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285 // We align the grapheme's centroid at the origin and scale it |
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286 // asymmetrically in x and y so that the 2nd moments are a standard value |
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287 // (51.2) ie the result is vaguely square. |
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288 // If classify_nonlinear_norm is true: |
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289 // A non-linear normalization is setup that attempts to evenly distribute |
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290 // edges across x and y. |
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291 // |
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292 // Some of the fields of fx_info are also setup: |
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293 // Length: Total length of outline. |
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294 // Rx: Rounded y second moment. (Reversed by convention.) |
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295 // Ry: rounded x second moment. |
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296 // Xmean: Rounded x center of mass of the blob. |
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297 // Ymean: Rounded y center of mass of the blob. |
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298 static void SetupBLCNDenorms(const TBLOB &blob, bool nonlinear_norm, DENORM *bl_denorm, |
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299 DENORM *cn_denorm, INT_FX_RESULT_STRUCT *fx_info); |
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300 |
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301 // Extracts sets of 3-D features of length kStandardFeatureLength (=12.8), as |
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302 // (x,y) position and angle as measured counterclockwise from the vector |
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303 // <-1, 0>, from blob using two normalizations defined by bl_denorm and |
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304 // cn_denorm. See SetpuBLCNDenorms for definitions. |
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305 // If outline_cn_counts is not nullptr, on return it contains the cumulative |
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306 // number of cn features generated for each outline in the blob (in order). |
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307 // Thus after the first outline, there were (*outline_cn_counts)[0] features, |
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308 // after the second outline, there were (*outline_cn_counts)[1] features etc. |
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309 static void ExtractFeatures(const TBLOB &blob, bool nonlinear_norm, |
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310 std::vector<INT_FEATURE_STRUCT> *bl_features, |
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311 std::vector<INT_FEATURE_STRUCT> *cn_features, |
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312 INT_FX_RESULT_STRUCT *results, std::vector<int> *outline_cn_counts); |
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313 /* float2int.cpp ************************************************************/ |
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314 void ClearCharNormArray(uint8_t *char_norm_array); |
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315 void ComputeIntCharNormArray(const FEATURE_STRUCT &norm_feature, uint8_t *char_norm_array); |
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316 void ComputeIntFeatures(FEATURE_SET Features, INT_FEATURE_ARRAY IntFeatures); |
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317 /* intproto.cpp *************************************************************/ |
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318 INT_TEMPLATES_STRUCT *ReadIntTemplates(TFile *fp); |
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319 void WriteIntTemplates(FILE *File, INT_TEMPLATES_STRUCT *Templates, const UNICHARSET &target_unicharset); |
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320 CLASS_ID GetClassToDebug(const char *Prompt, bool *adaptive_on, bool *pretrained_on, |
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321 int *shape_id); |
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322 void ShowMatchDisplay(); |
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323 /* font detection ***********************************************************/ |
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324 UnicityTable<FontInfo> &get_fontinfo_table() { |
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325 return fontinfo_table_; |
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326 } |
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327 const UnicityTable<FontInfo> &get_fontinfo_table() const { |
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328 return fontinfo_table_; |
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329 } |
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330 UnicityTable<FontSet> &get_fontset_table() { |
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331 return fontset_table_; |
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332 } |
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333 /* mfoutline.cpp ***********************************************************/ |
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334 void NormalizeOutlines(LIST Outlines, float *XScale, float *YScale); |
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335 /* outfeat.cpp ***********************************************************/ |
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336 FEATURE_SET ExtractOutlineFeatures(TBLOB *Blob); |
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337 /* picofeat.cpp ***********************************************************/ |
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338 FEATURE_SET ExtractPicoFeatures(TBLOB *Blob); |
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339 FEATURE_SET ExtractIntCNFeatures(const TBLOB &blob, const INT_FX_RESULT_STRUCT &fx_info); |
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340 FEATURE_SET ExtractIntGeoFeatures(const TBLOB &blob, const INT_FX_RESULT_STRUCT &fx_info); |
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ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
341 /* blobclass.cpp ***********************************************************/ |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
342 // Extracts features from the given blob and saves them in the tr_file_data_ |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
343 // member variable. |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
344 // fontname: Name of font that this blob was printed in. |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
345 // cn_denorm: Character normalization transformation to apply to the blob. |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
346 // fx_info: Character normalization parameters computed with cn_denorm. |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
347 // blob_text: Ground truth text for the blob. |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
348 void LearnBlob(const std::string &fontname, TBLOB *Blob, const DENORM &cn_denorm, |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
349 const INT_FX_RESULT_STRUCT &fx_info, const char *blob_text); |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
350 // Writes stored training data to a .tr file based on the given filename. |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
351 // Returns false on error. |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
352 bool WriteTRFile(const char *filename); |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
353 |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
354 // Member variables. |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
355 |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
356 // Parameters. |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
357 // Set during training (in lang.config) to indicate whether the divisible |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
358 // blobs chopper should be used (true for latin script.) |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
359 BOOL_VAR_H(allow_blob_division); |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
360 // Set during training (in lang.config) to indicate whether the divisible |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
361 // blobs chopper should be used in preference to chopping. Set to true for |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
362 // southern Indic scripts. |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
363 BOOL_VAR_H(prioritize_division); |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
364 BOOL_VAR_H(classify_enable_learning); |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
365 INT_VAR_H(classify_debug_level); |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
366 |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
367 /* mfoutline.cpp ***********************************************************/ |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
368 /* control knobs used to control normalization of outlines */ |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
369 INT_VAR_H(classify_norm_method); |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
370 double_VAR_H(classify_char_norm_range); |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
371 double_VAR_H(classify_max_rating_ratio); |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
372 double_VAR_H(classify_max_certainty_margin); |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
373 |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
374 /* adaptmatch.cpp ***********************************************************/ |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
375 BOOL_VAR_H(tess_cn_matching); |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
376 BOOL_VAR_H(tess_bn_matching); |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
377 BOOL_VAR_H(classify_enable_adaptive_matcher); |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
378 BOOL_VAR_H(classify_use_pre_adapted_templates); |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
379 BOOL_VAR_H(classify_save_adapted_templates); |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
380 BOOL_VAR_H(classify_enable_adaptive_debugger); |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
381 BOOL_VAR_H(classify_nonlinear_norm); |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
382 INT_VAR_H(matcher_debug_level); |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
383 INT_VAR_H(matcher_debug_flags); |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
384 INT_VAR_H(classify_learning_debug_level); |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
385 double_VAR_H(matcher_good_threshold); |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
386 double_VAR_H(matcher_reliable_adaptive_result); |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
387 double_VAR_H(matcher_perfect_threshold); |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
388 double_VAR_H(matcher_bad_match_pad); |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
389 double_VAR_H(matcher_rating_margin); |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
390 double_VAR_H(matcher_avg_noise_size); |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
391 INT_VAR_H(matcher_permanent_classes_min); |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
392 INT_VAR_H(matcher_min_examples_for_prototyping); |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
393 INT_VAR_H(matcher_sufficient_examples_for_prototyping); |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
394 double_VAR_H(matcher_clustering_max_angle_delta); |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
395 double_VAR_H(classify_misfit_junk_penalty); |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
396 double_VAR_H(rating_scale); |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
397 double_VAR_H(tessedit_class_miss_scale); |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
398 double_VAR_H(classify_adapted_pruning_factor); |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
399 double_VAR_H(classify_adapted_pruning_threshold); |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
400 INT_VAR_H(classify_adapt_proto_threshold); |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
401 INT_VAR_H(classify_adapt_feature_threshold); |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
402 BOOL_VAR_H(disable_character_fragments); |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
403 double_VAR_H(classify_character_fragments_garbage_certainty_threshold); |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
404 BOOL_VAR_H(classify_debug_character_fragments); |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
405 BOOL_VAR_H(matcher_debug_separate_windows); |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
406 STRING_VAR_H(classify_learn_debug_str); |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
407 |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
408 /* intmatcher.cpp **********************************************************/ |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
409 INT_VAR_H(classify_class_pruner_threshold); |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
410 INT_VAR_H(classify_class_pruner_multiplier); |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
411 INT_VAR_H(classify_cp_cutoff_strength); |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
412 INT_VAR_H(classify_integer_matcher_multiplier); |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
413 |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
414 BOOL_VAR_H(classify_bln_numeric_mode); |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
415 double_VAR_H(speckle_large_max_size); |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
416 double_VAR_H(speckle_rating_penalty); |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
417 |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
418 // Use class variables to hold onto built-in templates and adapted templates. |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
419 INT_TEMPLATES_STRUCT *PreTrainedTemplates = nullptr; |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
420 ADAPT_TEMPLATES_STRUCT *AdaptedTemplates = nullptr; |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
421 // The backup adapted templates are created from the previous page (only) |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
422 // so they are always ready and reasonably well trained if the primary |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
423 // adapted templates become full. |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
424 ADAPT_TEMPLATES_STRUCT *BackupAdaptedTemplates = nullptr; |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
changeset
|
425 |
|
b50eed0cc0ef
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
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parents:
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426 // Create dummy proto and config masks for use with the built-in templates. |
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427 BIT_VECTOR AllProtosOn = nullptr; |
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428 BIT_VECTOR AllConfigsOn = nullptr; |
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429 BIT_VECTOR AllConfigsOff = nullptr; |
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430 BIT_VECTOR TempProtoMask = nullptr; |
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431 /* normmatch.cpp */ |
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432 NORM_PROTOS *NormProtos = nullptr; |
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433 /* font detection ***********************************************************/ |
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434 UnicityTable<FontInfo> fontinfo_table_; |
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435 // Without shape training, each class_id, config pair represents a single |
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ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
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436 // unichar id/font combination, so each fontset_table_ entry holds font ids |
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ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
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437 // for each config in the class. |
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438 // With shape training, each class_id, config pair represents a single |
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439 // shape_table_ index, so the fontset_table_ stores the shape_table_ index, |
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ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
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440 // and the shape_table_ must be consulted to obtain the actual unichar_id/ |
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ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
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441 // font combinations that the shape represents. |
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442 UnicityTable<FontSet> fontset_table_; |
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443 |
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444 protected: |
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445 IntegerMatcher im_; |
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446 FEATURE_DEFS_STRUCT feature_defs_; |
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447 // If a shape_table_ is present, it is used to remap classifier output in |
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ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
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448 // ExpandShapesAndApplyCorrections. font_ids referenced by configs actually |
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ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
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449 // mean an index to the shape_table_ and the choices returned are *all* the |
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ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
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parents:
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450 // shape_table_ entries at that index. |
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451 ShapeTable *shape_table_ = nullptr; |
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452 |
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453 private: |
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454 // The currently active static classifier. |
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455 ShapeClassifier *static_classifier_ = nullptr; |
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456 #ifndef GRAPHICS_DISABLED |
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457 ScrollView *learn_debug_win_ = nullptr; |
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458 ScrollView *learn_fragmented_word_debug_win_ = nullptr; |
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459 ScrollView *learn_fragments_debug_win_ = nullptr; |
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ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
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460 #endif |
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461 |
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462 // Training data gathered here for all the images in a document. |
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463 std::string tr_file_data_; |
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464 |
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465 Dict dict_; |
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466 |
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467 std::vector<uint16_t> shapetable_cutoffs_; |
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468 |
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469 /* variables used to hold performance statistics */ |
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470 int NumAdaptationsFailed = 0; |
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parents:
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|
471 |
|
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parents:
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|
472 // Expected number of features in the class pruner, used to penalize |
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ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
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parents:
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473 // unknowns that have too few features (like a c being classified as e) so |
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ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
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parents:
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|
474 // it doesn't recognize everything as '@' or '#'. |
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ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
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parents:
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|
475 // CharNormCutoffs is for the static classifier (with no shapetable). |
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ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
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parents:
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476 // BaselineCutoffs gets a copy of CharNormCutoffs as an estimate of the real |
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ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
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|
477 // value in the adaptive classifier. Both are indexed by unichar_id. |
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ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
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parents:
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changeset
|
478 // shapetable_cutoffs_ provides a similar value for each shape in the |
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ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
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|
479 // shape_table_ |
|
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ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
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parents:
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|
480 uint16_t CharNormCutoffs[MAX_NUM_CLASSES]; |
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parents:
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|
481 uint16_t BaselineCutoffs[MAX_NUM_CLASSES]; |
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parents:
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|
482 |
|
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parents:
diff
changeset
|
483 public: |
|
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parents:
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|
484 bool EnableLearning = true; |
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parents:
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|
485 }; |
|
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parents:
diff
changeset
|
486 |
|
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ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
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parents:
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|
487 } // namespace tesseract |
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parents:
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|
488 |
|
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ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
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parents:
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|
489 #endif // DISABLED_LEGACY_ENGINE |
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parents:
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changeset
|
490 |
|
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ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
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parents:
diff
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|
491 #endif // TESSERACT_CLASSIFY_CLASSIFY_H_ |
