Mercurial > hgrepos > Python2 > PyMuPDF
annotate mupdf-source/thirdparty/tesseract/src/training/unicharset/lstmtester.cpp @ 46:7ee69f120f19 default tip
>>>>> tag v1.26.5+1 for changeset b74429b0f5c4
| author | Franz Glasner <fzglas.hg@dom66.de> |
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| date | Sat, 11 Oct 2025 17:17:30 +0200 |
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| rev | line source |
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1 /////////////////////////////////////////////////////////////////////// |
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2 // File: lstmtester.cpp |
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3 // Description: Top-level line evaluation 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 2016, Google Inc. |
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7 // Licensed under the Apache License, Version 2.0 (the "License"); |
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8 // you may not use this file except in compliance with the License. |
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9 // You may obtain a copy of the License at |
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10 // http://www.apache.org/licenses/LICENSE-2.0 |
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11 // Unless required by applicable law or agreed to in writing, software |
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12 // distributed under the License is distributed on an "AS IS" BASIS, |
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13 // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
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14 // See the License for the specific language governing permissions and |
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15 // limitations under the License. |
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16 /////////////////////////////////////////////////////////////////////// |
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17 |
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18 #include "lstmtester.h" |
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19 #include <iomanip> // for std::setprecision |
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20 #include <thread> // for std::thread |
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21 #include "fileio.h" // for LoadFileLinesToStrings |
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22 |
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23 namespace tesseract { |
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24 |
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25 LSTMTester::LSTMTester(int64_t max_memory) : test_data_(max_memory) {} |
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26 |
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27 // Loads a set of lstmf files that were created using the lstm.train config to |
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28 // tesseract into memory ready for testing. Returns false if nothing was |
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29 // loaded. The arg is a filename of a file that lists the filenames. |
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30 bool LSTMTester::LoadAllEvalData(const char *filenames_file) { |
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31 std::vector<std::string> filenames; |
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32 if (!LoadFileLinesToStrings(filenames_file, &filenames)) { |
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33 tprintf("Failed to load list of eval filenames from %s\n", filenames_file); |
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34 return false; |
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35 } |
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36 return LoadAllEvalData(filenames); |
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37 } |
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38 |
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39 // Loads a set of lstmf files that were created using the lstm.train config to |
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40 // tesseract into memory ready for testing. Returns false if nothing was |
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41 // loaded. |
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42 bool LSTMTester::LoadAllEvalData(const std::vector<std::string> &filenames) { |
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43 test_data_.Clear(); |
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44 bool result = test_data_.LoadDocuments(filenames, CS_SEQUENTIAL, nullptr); |
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45 total_pages_ = test_data_.TotalPages(); |
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46 return result; |
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47 } |
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48 |
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49 // Runs an evaluation asynchronously on the stored data and returns a string |
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50 // describing the results of the previous test. |
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51 std::string LSTMTester::RunEvalAsync(int iteration, const double *training_errors, |
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52 const TessdataManager &model_mgr, int training_stage) { |
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53 std::string result; |
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54 if (total_pages_ == 0) { |
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55 result += "No test data at iteration " + std::to_string(iteration); |
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56 return result; |
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57 } |
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58 if (!LockIfNotRunning()) { |
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59 result += "Previous test incomplete, skipping test at iteration " + std::to_string(iteration); |
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60 return result; |
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61 } |
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62 // Save the args. |
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63 std::string prev_result = test_result_; |
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64 test_result_ = ""; |
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65 if (training_errors != nullptr) { |
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66 test_iteration_ = iteration; |
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67 test_training_errors_ = training_errors; |
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68 test_model_mgr_ = model_mgr; |
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69 test_training_stage_ = training_stage; |
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70 std::thread t(&LSTMTester::ThreadFunc, this); |
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71 t.detach(); |
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72 } else { |
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73 UnlockRunning(); |
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74 } |
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75 return prev_result; |
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76 } |
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77 |
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78 // Runs an evaluation synchronously on the stored data and returns a string |
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79 // describing the results. |
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80 std::string LSTMTester::RunEvalSync(int iteration, const double *training_errors, |
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81 const TessdataManager &model_mgr, int training_stage, |
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82 int verbosity) { |
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83 LSTMTrainer trainer; |
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84 trainer.InitCharSet(model_mgr); |
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85 TFile fp; |
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86 if (!model_mgr.GetComponent(TESSDATA_LSTM, &fp) || !trainer.DeSerialize(&model_mgr, &fp)) { |
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87 return "Deserialize failed"; |
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88 } |
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89 int eval_iteration = 0; |
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90 double char_error = 0.0; |
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91 double word_error = 0.0; |
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92 int error_count = 0; |
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93 while (error_count < total_pages_) { |
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94 const ImageData *trainingdata = test_data_.GetPageBySerial(eval_iteration); |
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95 trainer.SetIteration(++eval_iteration); |
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96 NetworkIO fwd_outputs, targets; |
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97 Trainability result = trainer.PrepareForBackward(trainingdata, &fwd_outputs, &targets); |
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98 if (result != UNENCODABLE) { |
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99 char_error += trainer.NewSingleError(tesseract::ET_CHAR_ERROR); |
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100 word_error += trainer.NewSingleError(tesseract::ET_WORD_RECERR); |
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101 ++error_count; |
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102 if (verbosity > 1 || (verbosity > 0 && result != PERFECT)) { |
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103 tprintf("Truth:%s\n", trainingdata->transcription().c_str()); |
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104 std::vector<int> ocr_labels; |
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105 std::vector<int> xcoords; |
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106 trainer.LabelsFromOutputs(fwd_outputs, &ocr_labels, &xcoords); |
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107 std::string ocr_text = trainer.DecodeLabels(ocr_labels); |
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108 tprintf("OCR :%s\n", ocr_text.c_str()); |
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109 if (verbosity > 2 || (verbosity > 1 && result != PERFECT)) { |
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110 tprintf("Line BCER=%f, BWER=%f\n\n", |
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111 trainer.NewSingleError(tesseract::ET_CHAR_ERROR), |
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112 trainer.NewSingleError(tesseract::ET_WORD_RECERR)); |
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113 } |
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114 } |
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115 } |
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116 } |
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117 char_error *= 100.0 / total_pages_; |
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118 word_error *= 100.0 / total_pages_; |
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119 std::stringstream result; |
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120 result.imbue(std::locale::classic()); |
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121 result << std::fixed << std::setprecision(3); |
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122 if (iteration != 0 || training_stage != 0) { |
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123 result << "At iteration " << iteration |
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124 << ", stage " << training_stage << ", "; |
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125 } |
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126 result << "BCER eval=" << char_error << ", BWER eval=" << word_error; |
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127 return result.str(); |
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128 } |
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129 |
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130 // Helper thread function for RunEvalAsync. |
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131 // LockIfNotRunning must have returned true before calling ThreadFunc, and |
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132 // it will call UnlockRunning to release the lock after RunEvalSync completes. |
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133 void LSTMTester::ThreadFunc() { |
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134 test_result_ = |
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135 RunEvalSync(test_iteration_, test_training_errors_, test_model_mgr_, test_training_stage_, |
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136 /*verbosity*/ 0); |
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137 UnlockRunning(); |
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138 } |
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139 |
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140 // Returns true if there is currently nothing running, and takes the lock |
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141 // if there is nothing running. |
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142 bool LSTMTester::LockIfNotRunning() { |
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143 std::lock_guard<std::mutex> lock(running_mutex_); |
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144 if (async_running_) { |
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145 return false; |
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146 } |
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147 async_running_ = true; |
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148 return true; |
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149 } |
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150 |
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151 // Releases the running lock. |
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152 void LSTMTester::UnlockRunning() { |
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153 std::lock_guard<std::mutex> lock(running_mutex_); |
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154 async_running_ = false; |
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155 } |
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156 |
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157 } // namespace tesseract |
