Mercurial > hgrepos > Python2 > PyMuPDF

annotate mupdf-source/thirdparty/tesseract/src/training/common/errorcounter.h @ 17:dd9cdb856310

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Remove PKG-INFO from the because it is regenerated automatically for the sdist
author Franz Glasner <fzglas.hg@dom66.de>
date Thu, 18 Sep 2025 17:40:40 +0200
parents b50eed0cc0ef
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 THIRD_PARTY_TESSERACT_CLASSIFY_ERRORCOUNTER_H_
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17 #define THIRD_PARTY_TESSERACT_CLASSIFY_ERRORCOUNTER_H_
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19 #include "matrix.h"
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20 #include "statistc.h"
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22 struct Pix;
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24 namespace tesseract {
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26 template <typename T>
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27 class UnicityTable;
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28 struct FontInfo;
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29 class FontInfoTable;
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30 class SampleIterator;
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31 class ShapeClassifier;
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32 class TrainingSample;
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33 struct UnicharRating;
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34
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35 // Enumeration of the different types of error count.
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36 // Error counts work as follows:
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37 //
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38 // Ground truth is a valid unichar-id / font-id pair:
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39 // Number of classifier answers?
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40 // 0 >0
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41 // CT_REJECT unichar-id matches top shape?
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42 // __________ yes! no
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43 // CT_UNICHAR_TOP_OK CT_UNICHAR_TOP1_ERR
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44 // Top shape-id has multiple unichars? 2nd shape unichar id matches?
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45 // yes! no yes! no
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46 // CT_OK_MULTI_UNICHAR | _____ CT_UNICHAR_TOP2_ERR
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47 // Font attributes match? Any unichar-id matches?
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48 // yes! no yes! no
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49 // CT_FONT_ATTR_OK CT_FONT_ATTR_ERR ______ CT_UNICHAR_TOPN_ERR
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50 // | __________________ _________________
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51 // Top shape-id has multiple font attrs?
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52 // yes! no
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53 // CT_OK_MULTI_FONT
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54 // _____________________________
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55 //
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56 // Note that multiple counts may be activated for a single sample!
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57 //
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58 // Ground truth is for a fragment/n-gram that is NOT in the unicharset.
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59 // This is called junk and is expected to be rejected:
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60 // Number of classifier answers?
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61 // 0 >0
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62 // CT_REJECTED_JUNK CT_ACCEPTED_JUNK
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63 //
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64 // Also, CT_NUM_RESULTS stores the mean number of results, and CT_RANK stores
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65 // the mean rank of the correct result, counting from 0, and with an error
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66 // receiving the number of answers as the correct rank.
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67 //
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68 // Keep in sync with the ReportString function.
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69 enum CountTypes {
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70 CT_UNICHAR_TOP_OK, // Top shape contains correct unichar id.
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71 // The rank of the results in TOP1, TOP2, TOPN is determined by a gap of
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72 // kRatingEpsilon from the first result in each group. The real top choice
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73 // is measured using TOPTOP.
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74 CT_UNICHAR_TOP1_ERR, // Top shape does not contain correct unichar id.
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75 CT_UNICHAR_TOP2_ERR, // Top 2 shapes don't contain correct unichar id.
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76 CT_UNICHAR_TOPN_ERR, // No output shape contains correct unichar id.
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77 CT_UNICHAR_TOPTOP_ERR, // Very top choice not correct.
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78 CT_OK_MULTI_UNICHAR, // Top shape id has correct unichar id, and others.
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79 CT_OK_JOINED, // Top shape id is correct but marked joined.
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80 CT_OK_BROKEN, // Top shape id is correct but marked broken.
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81 CT_REJECT, // Classifier hates this.
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82 CT_FONT_ATTR_ERR, // Top unichar OK, but font attributes incorrect.
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83 CT_OK_MULTI_FONT, // CT_FONT_ATTR_OK but there are multiple font attrs.
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84 CT_NUM_RESULTS, // Number of answers produced.
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85 CT_RANK, // Rank of correct answer.
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86 CT_REJECTED_JUNK, // Junk that was correctly rejected.
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87 CT_ACCEPTED_JUNK, // Junk that was incorrectly classified otherwise.
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88
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89 CT_SIZE // Number of types for array sizing.
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90 };
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91
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92 // Class to encapsulate all the functionality and sub-structures required
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93 // to count errors for an isolated character classifier (ShapeClassifier).
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94 class ErrorCounter {
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95 public:
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96 // Computes and returns the unweighted boosting_mode error rate of the given
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97 // classifier. Can be used for testing, or inside an iterative training
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98 // system, including one that uses boosting.
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99 // report_levels:
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100 // 0 = no output.
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101 // 1 = bottom-line error rate.
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102 // 2 = bottom-line error rate + time.
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103 // 3 = font-level error rate + time.
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104 // 4 = list of all errors + short classifier debug output on 16 errors.
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105 // 5 = list of all errors + short classifier debug output on 25 errors.
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106 // * The boosting_mode determines which error type is used for computing the
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107 // scaled_error output, and setting the is_error flag in the samples.
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108 // * The fontinfo_table is used to get string font names for the debug
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109 // output, and also to count font attributes errors.
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110 // * The page_images vector may contain a Pix* (which may be nullptr) for each
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111 // page index assigned to the samples.
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112 // * The it provides encapsulated iteration over some sample set.
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113 // * The outputs unichar_error, scaled_error and totals_report are all
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114 // optional.
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115 // * If not nullptr, unichar error gets the top1 unichar error rate.
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116 // * Scaled_error gets the error chosen by boosting_mode weighted by the
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117 // weights on the samples.
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118 // * Fonts_report gets a string summarizing the error rates for each font in
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119 // both human-readable form and as a tab-separated list of error counts.
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120 // The human-readable form is all before the first tab.
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121 // * The return value is the un-weighted version of the scaled_error.
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122 static double ComputeErrorRate(ShapeClassifier *classifier, int report_level,
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123 CountTypes boosting_mode, const FontInfoTable &fontinfo_table,
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124 const std::vector<Image > &page_images, SampleIterator *it,
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125 double *unichar_error, double *scaled_error, std::string *fonts_report);
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126 // Tests a pair of classifiers, debugging errors of the new against the old.
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127 // See errorcounter.h for description of arguments.
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128 // Iterates over the samples, calling the classifiers in normal/silent mode.
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129 // If the new_classifier makes a boosting_mode error that the old_classifier
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130 // does not, and the appropriate, it will then call the new_classifier again
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131 // with a debug flag and a keep_this argument to find out what is going on.
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132 static void DebugNewErrors(ShapeClassifier *new_classifier, ShapeClassifier *old_classifier,
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133 CountTypes boosting_mode, const FontInfoTable &fontinfo_table,
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134 const std::vector<Image > &page_images, SampleIterator *it);
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135
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136 private:
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137 // Simple struct to hold an array of counts.
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138 struct Counts {
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139 Counts();
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140 // Adds other into this for computing totals.
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141 void operator+=(const Counts &other);
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142
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143 int n[CT_SIZE];
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144 };
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145
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146 // Constructor is private. Only anticipated use of ErrorCounter is via
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147 // the static ComputeErrorRate.
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148 ErrorCounter(const UNICHARSET &unicharset, int fontsize);
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149 ~ErrorCounter() = default;
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150
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151 // Accumulates the errors from the classifier results on a single sample.
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152 // Returns true if debug is true and a CT_UNICHAR_TOPN_ERR error occurred.
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153 // boosting_mode selects the type of error to be used for boosting and the
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154 // is_error_ member of sample is set according to whether the required type
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155 // of error occurred. The font_table provides access to font properties
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156 // for error counting and shape_table is used to understand the relationship
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157 // between unichar_ids and shape_ids in the results
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158 bool AccumulateErrors(bool debug, CountTypes boosting_mode, const FontInfoTable &font_table,
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159 const std::vector<UnicharRating> &results, TrainingSample *sample);
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160
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161 // Accumulates counts for junk. Counts only whether the junk was correctly
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162 // rejected or not.
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163 bool AccumulateJunk(bool debug, const std::vector<UnicharRating> &results,
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164 TrainingSample *sample);
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165
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166 // Creates a report of the error rate. The report_level controls the detail
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167 // that is reported to stderr via tprintf:
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168 // 0 -> no output.
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169 // >=1 -> bottom-line error rate.
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170 // >=3 -> font-level error rate.
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171 // boosting_mode determines the return value. It selects which (un-weighted)
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172 // error rate to return.
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173 // The fontinfo_table from MasterTrainer provides the names of fonts.
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174 // The it determines the current subset of the training samples.
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175 // If not nullptr, the top-choice unichar error rate is saved in
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176 // unichar_error. If not nullptr, the report string is saved in fonts_report.
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177 // (Ignoring report_level).
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178 double ReportErrors(int report_level, CountTypes boosting_mode,
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179 const FontInfoTable &fontinfo_table, const SampleIterator &it,
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180 double *unichar_error, std::string *fonts_report);
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181
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182 // Sets the report string to a combined human and machine-readable report
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183 // string of the error rates.
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184 // Returns false if there is no data, leaving report unchanged, unless
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185 // even_if_empty is true.
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186 static bool ReportString(bool even_if_empty, const Counts &counts, std::string &report);
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187
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188 // Computes the error rates and returns in rates which is an array of size
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189 // CT_SIZE. Returns false if there is no data, leaving rates unchanged.
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190 static bool ComputeRates(const Counts &counts, double rates[CT_SIZE]);
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191
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192 // Total scaled error used by boosting algorithms.
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193 double scaled_error_;
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194 // Difference in result rating to be thought of as an "equal" choice.
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195 double rating_epsilon_;
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196 // Vector indexed by font_id from the samples of error accumulators.
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197 std::vector<Counts> font_counts_;
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198 // Counts of the results that map each unichar_id (from samples) to an
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199 // incorrect shape_id.
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200 GENERIC_2D_ARRAY<int> unichar_counts_;
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201 // Count of the number of times each shape_id occurs, is correct, and multi-
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202 // unichar.
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203 std::vector<int> multi_unichar_counts_;
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204 // Histogram of scores (as percent) for correct answers.
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205 STATS ok_score_hist_;
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206 // Histogram of scores (as percent) for incorrect answers.
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207 STATS bad_score_hist_;
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208 // Unicharset for printing character ids in results.
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209 const UNICHARSET &unicharset_;
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210 };
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211
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212 } // namespace tesseract.
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213
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214 #endif /* THIRD_PARTY_TESSERACT_CLASSIFY_ERRORCOUNTER_H_ */