Mercurial > hgrepos > Python2 > PyMuPDF

annotate mupdf-source/thirdparty/tesseract/src/training/common/sampleiterator.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
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children
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1 // Copyright 2011 Google Inc. All Rights Reserved.
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2 // Author: rays@google.com (Ray Smith)
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3 //
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4 // Licensed under the Apache License, Version 2.0 (the "License");
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5 // you may not use this file except in compliance with the License.
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6 // You may obtain a copy of the License at
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7 // http://www.apache.org/licenses/LICENSE-2.0
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8 // Unless required by applicable law or agreed to in writing, software
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9 // distributed under the License is distributed on an "AS IS" BASIS,
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10 // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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11 // See the License for the specific language governing permissions and
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12 // limitations under the License.
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13 //
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14 ///////////////////////////////////////////////////////////////////////
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16 #ifndef TESSERACT_CLASSIFY_SAMPLEITERATOR_H_
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17 #define TESSERACT_CLASSIFY_SAMPLEITERATOR_H_
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19 namespace tesseract {
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20
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21 class IndexMapBiDi;
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22 class IntFeatureMap;
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23 class ShapeTable;
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24 class TrainingSample;
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25 class TrainingSampleSet;
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26 struct UnicharAndFonts;
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27
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28 // Iterator class to encapsulate the complex iteration involved in getting
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29 // all samples of all shapes needed for a classification problem.
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30 //
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31 // =====INPUTS TO Init FUNCTION=====
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32 // The charset_map defines a subset of the sample_set classes (with a nullptr
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33 // shape_table, or the shape_table classes if not nullptr.)
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34 //
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35 // The shape_table (if not nullptr) defines the mapping from shapes to
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36 // font_id/class_id pairs. Each shape is a list of unichar_id and font lists.
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37 //
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38 // The sample_set holds the samples and provides indexed access to samples
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39 // of font_id/class_id pairs.
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40 //
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41 // If randomize is true, the samples are perturbed slightly, but the
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42 // perturbation is guaranteed to be the same for multiple identical
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43 // iterations.
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44 //
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45 // =====DIFFERENT COMBINATIONS OF INPUTS=====
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46 // nullptr shape_table:
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47 // Without a shape_table, everything works in UNICHAR_IDs.
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48 //
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49 // nullptr shape_table, nullptr charset_map:
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50 // Iterations simply run over the samples in the order the samples occur in the
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51 // input files.
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52 // GetCompactClassID and GetSparseClassID both return the sample UNICHAR_ID.
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53 //
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54 // nullptr shape_table, non-nullptr charset_map:
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55 // When shape_table is nullptr, the charset_map indexes unichar_ids directly,
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56 // and an iteration returns all samples of all chars in the charset_map, which
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57 // is a subset of the full unicharset.
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58 // The iteration will be in groups of the same unichar_id, in the order
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59 // defined by the charset_map.
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60 // GetCompactClassID returns the charset_map index of a sample, and
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61 // GetSparseClassID returns the sample UNICHAR_ID.
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62 //
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63 // Non-nullptr shape_table:
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64 // With a shape_table, samples are grouped according to the shape_table, so
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65 // multiple UNICHAR_IDs and fonts may be grouped together, and everything
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66 // works in shape_ids.
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67 //
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68 // Non-nullptr shape_table, nullptr charset_map.
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69 // Iterations simply run over the samples in the order of shape_id.
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70 // GetCompactClassID and GetSparseClassID both return the shape_id.
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71 // (If you want the unichar_id or font_id, the sample still has them.)
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72 //
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73 // Non-nullptr shape_table, non-nullptr charset_map.
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74 // When shape_table is not nullptr, the charset_map indexes and subsets shapes
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75 // in the shape_table, and iterations will be in shape_table order, not
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76 // charset_map order.
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77 // GetCompactClassID returns the charset_map index of a shape, and
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78 // GetSparseClassID returns the shape_id.
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79 //
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80 // =====What is SampleIterator good for?=====
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81 // Inside a classifier training module, the SampleIterator has abstracted away
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82 // all the different modes above.
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83 // Use the following iteration to train your classifier:
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84 // for (it.Begin(); !it.AtEnd(); it.Next()) {
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85 // const TrainingSample& sample = it.GetSample();
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86 // int class_id = it.GetCompactClassID();
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87 // Your classifier may or may not be dealing with a shape_table, and may be
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88 // dealing with some subset of the character/shape set. It doesn't need to
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89 // know and shouldn't care. It is just learning shapes with compact class ids
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90 // in the range [0, it.CompactCharsetSize()).
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91 class SampleIterator {
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92 public:
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93 SampleIterator();
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94 ~SampleIterator();
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95
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96 void Clear();
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97
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98 // See class comment for arguments.
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99 void Init(const IndexMapBiDi *charset_map, const ShapeTable *shape_table, bool randomize,
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100 TrainingSampleSet *sample_set);
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101
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102 // Iterator functions designed for use with a simple for loop:
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103 // for (it.Begin(); !it.AtEnd(); it.Next()) {
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104 // const TrainingSample& sample = it.GetSample();
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105 // int class_id = it.GetCompactClassID();
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106 // ...
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107 // }
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108 void Begin();
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109 bool AtEnd() const;
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110 const TrainingSample &GetSample() const;
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111 TrainingSample *MutableSample() const;
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112 // Returns the total index (from the original set of samples) of the current
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113 // sample.
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114 int GlobalSampleIndex() const;
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115 // Returns the index of the current sample in compact charset space, so
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116 // in a 2-class problem between x and y, the returned indices will all be
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117 // 0 or 1, and have nothing to do with the unichar_ids.
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118 // If the charset_map_ is nullptr, then this is equal to GetSparseClassID().
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119 int GetCompactClassID() const;
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120 // Returns the index of the current sample in sparse charset space, so
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121 // in a 2-class problem between x and y, the returned indices will all be
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122 // x or y, where x and y may be unichar_ids (no shape_table_) or shape_ids
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123 // with a shape_table_.
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124 int GetSparseClassID() const;
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125 // Moves on to the next indexable sample. If the end is reached, leaves
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126 // the state such that AtEnd() is true.
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127 void Next();
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128
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129 // Returns the size of the compact charset space.
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130 int CompactCharsetSize() const;
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131 // Returns the size of the sparse charset space.
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132 int SparseCharsetSize() const;
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133
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134 const IndexMapBiDi &charset_map() const {
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135 return *charset_map_;
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136 }
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137 const ShapeTable *shape_table() const {
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138 return shape_table_;
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139 }
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140 // Sample set operations.
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141 const TrainingSampleSet *sample_set() const {
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142 return sample_set_;
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143 }
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144
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145 // A set of functions that do something to all the samples accessed by the
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146 // iterator, as it is currently setup.
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147
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148 // Apply the supplied feature_space/feature_map transform to all samples
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149 // accessed by this iterator.
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150 void MapSampleFeatures(const IntFeatureMap &feature_map);
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151
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152 // Adjust the weights of all the samples to be uniform in the given charset.
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153 // Returns the number of samples in the iterator.
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154 int UniformSamples();
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155
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156 // Normalize the weights of all the samples defined by the iterator so they
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157 // sum to 1. Returns the minimum assigned sample weight.
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158 double NormalizeSamples();
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159
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160 private:
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161 // Helper returns the current UnicharAndFont shape_entry.
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162 const UnicharAndFonts *GetShapeEntry() const;
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163
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164 // Map to subset the actual charset space.
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165 const IndexMapBiDi *charset_map_;
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166 // Shape table to recombine character classes into shapes
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167 const ShapeTable *shape_table_;
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168 // The samples to iterate over.
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169 TrainingSampleSet *sample_set_;
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170 // Flag to control randomizing the sample features.
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171 bool randomize_;
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172 // Shape table owned by this used to iterate character classes.
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173 ShapeTable *owned_shape_table_;
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174
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175 // Top-level iteration. Shape index in sparse charset_map space.
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176 int shape_index_;
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177 int num_shapes_;
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178 // Index to the character class within a shape.
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179 int shape_char_index_;
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180 int num_shape_chars_;
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181 // Index to the font within a shape/class pair.
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182 int shape_font_index_;
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183 int num_shape_fonts_;
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184 // The lowest level iteration. sample_index_/num_samples_ counts samples
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185 // in the current shape/class/font combination.
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186 int sample_index_;
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187 int num_samples_;
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188 };
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189
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190 } // namespace tesseract.
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191
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192 #endif // TESSERACT_CLASSIFY_SAMPLEITERATOR_H_