annotate mupdf-source/thirdparty/tesseract/src/training/unicharset/lstmtrainer.h @ 46:7ee69f120f19 default tip

>>>>> tag v1.26.5+1 for changeset b74429b0f5c4
author Franz Glasner <fzglas.hg@dom66.de>
date Sat, 11 Oct 2025 17:17:30 +0200
parents b50eed0cc0ef
children
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1 ///////////////////////////////////////////////////////////////////////
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2 // File: lstmtrainer.h
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3 // Description: Top-level line trainer class for LSTM-based networks.
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4 // Author: Ray Smith
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5 //
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6 // (C) Copyright 2013, 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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18 #ifndef TESSERACT_LSTM_LSTMTRAINER_H_
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19 #define TESSERACT_LSTM_LSTMTRAINER_H_
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21 #include "export.h"
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23 #include "imagedata.h" // for DocumentCache
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24 #include "lstmrecognizer.h"
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25 #include "rect.h"
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27 #include <functional> // for std::function
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28 #include <sstream> // for std::stringstream
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30 namespace tesseract {
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32 class LSTM;
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33 class LSTMTester;
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34 class LSTMTrainer;
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35 class Parallel;
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36 class Reversed;
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37 class Softmax;
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38 class Series;
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39
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40 // Enum for the types of errors that are counted.
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41 enum ErrorTypes {
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42 ET_RMS, // RMS activation error.
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43 ET_DELTA, // Number of big errors in deltas.
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44 ET_WORD_RECERR, // Output text string word recall error.
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45 ET_CHAR_ERROR, // Output text string total char error.
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46 ET_SKIP_RATIO, // Fraction of samples skipped.
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47 ET_COUNT // For array sizing.
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48 };
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49
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50 // Enum for the trainability_ flags.
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51 enum Trainability {
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52 TRAINABLE, // Non-zero delta error.
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53 PERFECT, // Zero delta error.
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54 UNENCODABLE, // Not trainable due to coding/alignment trouble.
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55 HI_PRECISION_ERR, // Hi confidence disagreement.
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56 NOT_BOXED, // Early in training and has no character boxes.
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57 };
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58
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59 // Enum to define the amount of data to get serialized.
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60 enum SerializeAmount {
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61 LIGHT, // Minimal data for remote training.
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62 NO_BEST_TRAINER, // Save an empty vector in place of best_trainer_.
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63 FULL, // All data including best_trainer_.
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64 };
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65
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66 // Enum to indicate how the sub_trainer_ training went.
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67 enum SubTrainerResult {
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68 STR_NONE, // Did nothing as not good enough.
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69 STR_UPDATED, // Subtrainer was updated, but didn't replace *this.
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70 STR_REPLACED // Subtrainer replaced *this.
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71 };
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72
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73 class LSTMTrainer;
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74 // Function to compute and record error rates on some external test set(s).
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75 // Args are: iteration, mean errors, model, training stage.
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76 // Returns a string containing logging information about the tests.
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77 using TestCallback = std::function<std::string(int, const double *,
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78 const TessdataManager &, int)>;
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79
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80 // Trainer class for LSTM networks. Most of the effort is in creating the
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81 // ideal target outputs from the transcription. A box file is used if it is
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82 // available, otherwise estimates of the char widths from the unicharset are
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83 // used to guide a DP search for the best fit to the transcription.
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84 class TESS_UNICHARSET_TRAINING_API LSTMTrainer : public LSTMRecognizer {
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85 public:
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86 LSTMTrainer();
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87 LSTMTrainer(const std::string &model_base,
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88 const std::string &checkpoint_name,
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89 int debug_interval, int64_t max_memory);
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90 virtual ~LSTMTrainer();
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91
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92 // Tries to deserialize a trainer from the given file and silently returns
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93 // false in case of failure. If old_traineddata is not null, then it is
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94 // assumed that the character set is to be re-mapped from old_traineddata to
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95 // the new, with consequent change in weight matrices etc.
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96 bool TryLoadingCheckpoint(const char *filename, const char *old_traineddata);
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97
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98 // Initializes the character set encode/decode mechanism directly from a
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99 // previously setup traineddata containing dawgs, UNICHARSET and
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100 // UnicharCompress. Note: Call before InitNetwork!
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101 bool InitCharSet(const std::string &traineddata_path) {
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102 bool success = mgr_.Init(traineddata_path.c_str());
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103 if (success) {
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104 InitCharSet();
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105 }
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106 return success;
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107 }
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108 void InitCharSet(const TessdataManager &mgr) {
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109 mgr_ = mgr;
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110 InitCharSet();
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111 }
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112
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113 // Initializes the trainer with a network_spec in the network description
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114 // net_flags control network behavior according to the NetworkFlags enum.
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115 // There isn't really much difference between them - only where the effects
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116 // are implemented.
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117 // For other args see NetworkBuilder::InitNetwork.
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118 // Note: Be sure to call InitCharSet before InitNetwork!
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119 bool InitNetwork(const char *network_spec, int append_index, int net_flags,
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120 float weight_range, float learning_rate, float momentum,
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121 float adam_beta);
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122 // Resets all the iteration counters for fine tuning or training a head,
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123 // where we want the error reporting to reset.
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124 void InitIterations();
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125
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126 // Accessors.
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127 double ActivationError() const {
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128 return error_rates_[ET_DELTA];
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129 }
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130 double CharError() const {
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131 return error_rates_[ET_CHAR_ERROR];
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132 }
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133 const double *error_rates() const {
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134 return error_rates_;
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135 }
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136 double best_error_rate() const {
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137 return best_error_rate_;
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138 }
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139 int best_iteration() const {
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140 return best_iteration_;
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141 }
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142 int learning_iteration() const {
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143 return learning_iteration_;
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144 }
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145 int32_t improvement_steps() const {
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146 return improvement_steps_;
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147 }
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148 void set_perfect_delay(int delay) {
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149 perfect_delay_ = delay;
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150 }
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151 const std::vector<char> &best_trainer() const {
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152 return best_trainer_;
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153 }
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154 // Returns the error that was just calculated by PrepareForBackward.
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155 double NewSingleError(ErrorTypes type) const {
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156 return error_buffers_[type][training_iteration() % kRollingBufferSize_];
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157 }
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158 // Returns the error that was just calculated by TrainOnLine. Since
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159 // TrainOnLine rolls the error buffers, this is one further back than
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160 // NewSingleError.
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161 double LastSingleError(ErrorTypes type) const {
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162 return error_buffers_[type]
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163 [(training_iteration() + kRollingBufferSize_ - 1) %
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164 kRollingBufferSize_];
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165 }
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166 const DocumentCache &training_data() const {
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167 return training_data_;
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168 }
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169 DocumentCache *mutable_training_data() {
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170 return &training_data_;
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171 }
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172
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173 // If the training sample is usable, grid searches for the optimal
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174 // dict_ratio/cert_offset, and returns the results in a string of space-
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175 // separated triplets of ratio,offset=worderr.
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176 Trainability GridSearchDictParams(
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177 const ImageData *trainingdata, int iteration, double min_dict_ratio,
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178 double dict_ratio_step, double max_dict_ratio, double min_cert_offset,
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179 double cert_offset_step, double max_cert_offset, std::string &results);
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180
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181 // Provides output on the distribution of weight values.
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182 void DebugNetwork();
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183
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184 // Loads a set of lstmf files that were created using the lstm.train config to
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185 // tesseract into memory ready for training. Returns false if nothing was
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186 // loaded.
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187 bool LoadAllTrainingData(const std::vector<std::string> &filenames,
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188 CachingStrategy cache_strategy,
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189 bool randomly_rotate);
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190
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191 // Keeps track of best and locally worst error rate, using internally computed
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192 // values. See MaintainCheckpointsSpecific for more detail.
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193 bool MaintainCheckpoints(const TestCallback &tester, std::stringstream &log_msg);
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194 // Keeps track of best and locally worst error_rate (whatever it is) and
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195 // launches tests using rec_model, when a new min or max is reached.
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196 // Writes checkpoints using train_model at appropriate times and builds and
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197 // returns a log message to indicate progress. Returns false if nothing
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198 // interesting happened.
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199 bool MaintainCheckpointsSpecific(int iteration,
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200 const std::vector<char> *train_model,
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201 const std::vector<char> *rec_model,
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202 TestCallback tester, std::stringstream &log_msg);
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203 // Builds a progress message with current error rates.
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204 void PrepareLogMsg(std::stringstream &log_msg) const;
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205 // Appends <intro_str> iteration learning_iteration()/training_iteration()/
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206 // sample_iteration() to the log_msg.
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207 void LogIterations(const char *intro_str, std::stringstream &log_msg) const;
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208
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209 // TODO(rays) Add curriculum learning.
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210 // Returns true and increments the training_stage_ if the error rate has just
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211 // passed through the given threshold for the first time.
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212 bool TransitionTrainingStage(float error_threshold);
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213 // Returns the current training stage.
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214 int CurrentTrainingStage() const {
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215 return training_stage_;
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216 }
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217
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218 // Writes to the given file. Returns false in case of error.
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219 bool Serialize(SerializeAmount serialize_amount, const TessdataManager *mgr,
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220 TFile *fp) const;
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221 // Reads from the given file. Returns false in case of error.
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222 bool DeSerialize(const TessdataManager *mgr, TFile *fp);
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223
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224 // De-serializes the saved best_trainer_ into sub_trainer_, and adjusts the
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225 // learning rates (by scaling reduction, or layer specific, according to
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226 // NF_LAYER_SPECIFIC_LR).
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227 void StartSubtrainer(std::stringstream &log_msg);
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228 // While the sub_trainer_ is behind the current training iteration and its
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229 // training error is at least kSubTrainerMarginFraction better than the
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230 // current training error, trains the sub_trainer_, and returns STR_UPDATED if
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231 // it did anything. If it catches up, and has a better error rate than the
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232 // current best, as well as a margin over the current error rate, then the
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233 // trainer in *this is replaced with sub_trainer_, and STR_REPLACED is
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234 // returned. STR_NONE is returned if the subtrainer wasn't good enough to
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235 // receive any training iterations.
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236 SubTrainerResult UpdateSubtrainer(std::stringstream &log_msg);
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237 // Reduces network learning rates, either for everything, or for layers
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238 // independently, according to NF_LAYER_SPECIFIC_LR.
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239 void ReduceLearningRates(LSTMTrainer *samples_trainer, std::stringstream &log_msg);
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240 // Considers reducing the learning rate independently for each layer down by
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241 // factor(<1), or leaving it the same, by double-training the given number of
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242 // samples and minimizing the amount of changing of sign of weight updates.
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243 // Even if it looks like all weights should remain the same, an adjustment
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244 // will be made to guarantee a different result when reverting to an old best.
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245 // Returns the number of layer learning rates that were reduced.
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246 int ReduceLayerLearningRates(TFloat factor, int num_samples,
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247 LSTMTrainer *samples_trainer);
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248
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249 // Converts the string to integer class labels, with appropriate null_char_s
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250 // in between if not in SimpleTextOutput mode. Returns false on failure.
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251 bool EncodeString(const std::string &str, std::vector<int> *labels) const {
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252 return EncodeString(str, GetUnicharset(),
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253 IsRecoding() ? &recoder_ : nullptr, SimpleTextOutput(),
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254 null_char_, labels);
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255 }
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256 // Static version operates on supplied unicharset, encoder, simple_text.
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257 static bool EncodeString(const std::string &str, const UNICHARSET &unicharset,
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258 const UnicharCompress *recoder, bool simple_text,
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259 int null_char, std::vector<int> *labels);
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260
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261 // Performs forward-backward on the given trainingdata.
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262 // Returns the sample that was used or nullptr if the next sample was deemed
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263 // unusable. samples_trainer could be this or an alternative trainer that
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264 // holds the training samples.
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265 const ImageData *TrainOnLine(LSTMTrainer *samples_trainer, bool batch) {
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266 int sample_index = sample_iteration();
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267 const ImageData *image =
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268 samples_trainer->training_data_.GetPageBySerial(sample_index);
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269 if (image != nullptr) {
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270 Trainability trainable = TrainOnLine(image, batch);
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271 if (trainable == UNENCODABLE || trainable == NOT_BOXED) {
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272 return nullptr; // Sample was unusable.
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273 }
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274 } else {
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275 ++sample_iteration_;
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276 }
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277 return image;
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278 }
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279 Trainability TrainOnLine(const ImageData *trainingdata, bool batch);
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280
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281 // Prepares the ground truth, runs forward, and prepares the targets.
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282 // Returns a Trainability enum to indicate the suitability of the sample.
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283 Trainability PrepareForBackward(const ImageData *trainingdata,
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284 NetworkIO *fwd_outputs, NetworkIO *targets);
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285
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286 // Writes the trainer to memory, so that the current training state can be
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287 // restored. *this must always be the master trainer that retains the only
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288 // copy of the training data and language model. trainer is the model that is
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289 // actually serialized.
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290 bool SaveTrainingDump(SerializeAmount serialize_amount,
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291 const LSTMTrainer &trainer,
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292 std::vector<char> *data) const;
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293
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294 // Reads previously saved trainer from memory. *this must always be the
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295 // master trainer that retains the only copy of the training data and
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296 // language model. trainer is the model that is restored.
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297 bool ReadTrainingDump(const std::vector<char> &data,
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298 LSTMTrainer &trainer) const {
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299 if (data.empty()) {
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300 return false;
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301 }
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302 return ReadSizedTrainingDump(&data[0], data.size(), trainer);
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303 }
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diff changeset
304 bool ReadSizedTrainingDump(const char *data, int size,
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parents:
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305 LSTMTrainer &trainer) const {
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306 return trainer.ReadLocalTrainingDump(&mgr_, data, size);
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307 }
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308 // Restores the model to *this.
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309 bool ReadLocalTrainingDump(const TessdataManager *mgr, const char *data,
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310 int size);
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311
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312 // Sets up the data for MaintainCheckpoints from a light ReadTrainingDump.
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Franz Glasner <fzglas.hg@dom66.de>
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313 void SetupCheckpointInfo();
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314
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315 // Writes the full recognition traineddata to the given filename.
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316 bool SaveTraineddata(const char *filename);
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317
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318 // Writes the recognizer to memory, so that it can be used for testing later.
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319 void SaveRecognitionDump(std::vector<char> *data) const;
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320
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321 // Returns a suitable filename for a training dump, based on the model_base_,
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322 // the iteration and the error rates.
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323 std::string DumpFilename() const;
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324
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325 // Fills the whole error buffer of the given type with the given value.
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Franz Glasner <fzglas.hg@dom66.de>
parents:
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326 void FillErrorBuffer(double new_error, ErrorTypes type);
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327 // Helper generates a map from each current recoder_ code (ie softmax index)
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328 // to the corresponding old_recoder code, or -1 if there isn't one.
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parents:
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329 std::vector<int> MapRecoder(const UNICHARSET &old_chset,
b50eed0cc0ef ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
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330 const UnicharCompress &old_recoder) const;
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331
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parents:
diff changeset
332 protected:
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333 // Private version of InitCharSet above finishes the job after initializing
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parents:
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334 // the mgr_ data member.
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
335 void InitCharSet();
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Franz Glasner <fzglas.hg@dom66.de>
parents:
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336 // Helper computes and sets the null_char_.
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Franz Glasner <fzglas.hg@dom66.de>
parents:
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337 void SetNullChar();
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338
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339 // Factored sub-constructor sets up reasonable default values.
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
340 void EmptyConstructor();
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341
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342 // Outputs the string and periodically displays the given network inputs
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parents:
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343 // as an image in the given window, and the corresponding labels at the
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parents:
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344 // corresponding x_starts.
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parents:
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345 // Returns false if the truth string is empty.
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
346 bool DebugLSTMTraining(const NetworkIO &inputs, const ImageData &trainingdata,
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parents:
diff changeset
347 const NetworkIO &fwd_outputs,
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348 const std::vector<int> &truth_labels,
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diff changeset
349 const NetworkIO &outputs);
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parents:
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350 // Displays the network targets as line a line graph.
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parents:
diff changeset
351 void DisplayTargets(const NetworkIO &targets, const char *window_name,
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 ScrollView **window);
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parents:
diff changeset
353
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parents:
diff changeset
354 // Builds a no-compromises target where the first positions should be the
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 // truth labels and the rest is padded with the null_char_.
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 bool ComputeTextTargets(const NetworkIO &outputs,
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parents:
diff changeset
357 const std::vector<int> &truth_labels,
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 NetworkIO *targets);
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:
diff changeset
359
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
360 // Builds a target using standard CTC. truth_labels should be pre-padded with
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 // nulls wherever desired. They don't have to be between all labels.
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 // outputs is input-output, as it gets clipped to minimum probability.
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 ComputeCTCTargets(const std::vector<int> &truth_labels,
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 NetworkIO *outputs, NetworkIO *targets);
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
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
366 // Computes network errors, and stores the results in the rolling buffers,
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 // along with the supplied text_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
368 // Returns the delta error of the current sample (not running average.)
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 double ComputeErrorRates(const NetworkIO &deltas, double char_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
370 double word_error);
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:
diff changeset
371
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
372 // Computes the network activation RMS error rate.
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 double ComputeRMSError(const NetworkIO &deltas);
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:
diff changeset
374
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
375 // Computes network activation winner error rate. (Number of values that are
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 // in error by >= 0.5 divided by number of time-steps.) More closely related
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 // to final character error than RMS, but still directly calculable from
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 // just the deltas. Because of the binary nature of the targets, zero winner
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 // error is a sufficient but not necessary condition for zero char 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
380 double ComputeWinnerError(const NetworkIO &deltas);
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
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 // Computes a very simple bag of chars char error rate.
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 double ComputeCharError(const std::vector<int> &truth_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
384 const std::vector<int> &ocr_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
385 // Computes a very simple bag of words word recall error rate.
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 // NOTE that this is destructive on both input strings.
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 ComputeWordError(std::string *truth_str, std::string *ocr_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
388
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 // Updates the error buffer and corresponding mean of the given type with
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 // the new_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
391 void UpdateErrorBuffer(double new_error, ErrorTypes type);
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
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 // Rolls error buffers and reports the current means.
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 void RollErrorBuffers();
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
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 // Given that error_rate is either a new min or max, updates the best/worst
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 // error rates, and record of progress.
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 std::string UpdateErrorGraph(int iteration, double error_rate,
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 const std::vector<char> &model_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
400 const TestCallback &tester);
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
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 protected:
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 #ifndef GRAPHICS_DISABLED
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 // Alignment display window.
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 ScrollView *align_win_;
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 // CTC target display window.
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 ScrollView *target_win_;
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 // CTC output display window.
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 ScrollView *ctc_win_;
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 // Reconstructed image window.
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 ScrollView *recon_win_;
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 #endif
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 // How often to display a debug image.
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 int debug_interval_;
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 // Iteration at which the last checkpoint was dumped.
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 int checkpoint_iteration_;
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 // Basename of files to save best models to.
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 std::string model_base_;
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 // Checkpoint 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
420 std::string checkpoint_name_;
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 // Training 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
422 bool randomly_rotate_;
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 DocumentCache training_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
424 // Name to use when saving best_trainer_.
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 std::string best_model_name_;
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
426 // Number of available training stages.
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
427 int num_training_stages_;
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
428
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
429 // ===Serialized data to ensure that a restart produces the same results.===
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
430 // These members are only serialized when serialize_amount != LIGHT.
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
431 // Best error rate so far.
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
432 double best_error_rate_;
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
433 // Snapshot of all error rates at best_iteration_.
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
434 double best_error_rates_[ET_COUNT];
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
435 // Iteration of best_error_rate_.
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
436 int best_iteration_;
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
437 // Worst error rate since best_error_rate_.
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
438 double worst_error_rate_;
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
439 // Snapshot of all error rates at worst_iteration_.
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
440 double worst_error_rates_[ET_COUNT];
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
441 // Iteration of worst_error_rate_.
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
442 int worst_iteration_;
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
443 // Iteration at which the process will be thought stalled.
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
444 int stall_iteration_;
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
445 // Saved recognition models for computing test error for graph points.
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
446 std::vector<char> best_model_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
447 std::vector<char> worst_model_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
448 // Saved trainer for reverting back to last known best.
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
449 std::vector<char> best_trainer_;
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
450 // A subsidiary trainer running with a different learning rate until either
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
451 // *this or sub_trainer_ hits a new best.
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
452 std::unique_ptr<LSTMTrainer> sub_trainer_;
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
453 // Error rate at which last best model was dumped.
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
454 float error_rate_of_last_saved_best_;
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
455 // Current stage of training.
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
456 int training_stage_;
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
457 // History of best error rate against iteration. Used for computing the
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
458 // number of steps to each 2% improvement.
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
459 std::vector<double> best_error_history_;
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
460 std::vector<int32_t> best_error_iterations_;
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
461 // Number of iterations since the best_error_rate_ was 2% more than it is now.
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
462 int32_t improvement_steps_;
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
463 // Number of iterations that yielded a non-zero delta error and thus provided
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
464 // significant learning. learning_iteration_ <= training_iteration_.
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
465 // learning_iteration_ is used to measure rate of learning progress.
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
466 int learning_iteration_;
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
467 // Saved value of sample_iteration_ before looking for the next sample.
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
468 int prev_sample_iteration_;
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
469 // How often to include a PERFECT training sample in backprop.
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
470 // A PERFECT training sample is used if the current
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
471 // training_iteration_ > last_perfect_training_iteration_ + perfect_delay_,
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
472 // so with perfect_delay_ == 0, all samples are used, and with
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
473 // perfect_delay_ == 4, at most 1 in 5 samples will be perfect.
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
474 int perfect_delay_;
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
475 // Value of training_iteration_ at which the last PERFECT training sample
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
476 // was used in back prop.
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
477 int last_perfect_training_iteration_;
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
478 // Rolling buffers storing recent training errors are indexed by
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
479 // training_iteration % kRollingBufferSize_.
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
480 static const int kRollingBufferSize_ = 1000;
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
481 std::vector<double> error_buffers_[ET_COUNT];
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
482 // Rounded mean percent trailing training errors in the buffers.
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
483 double error_rates_[ET_COUNT]; // RMS training 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
484 // Traineddata file with optional dawgs + UNICHARSET and recoder.
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
485 TessdataManager mgr_;
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
486 };
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
487
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
488 } // namespace tesseract.
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
489
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
490 #endif // TESSERACT_LSTM_LSTMTRAINER_H_