Mercurial > hgrepos > Python2 > PyMuPDF
annotate mupdf-source/thirdparty/tesseract/src/ccmain/tfacepp.cpp @ 29:f76e6575dca9 v1.26.4+1
+++++ v1.26.4+1
| author | Franz Glasner <fzglas.hg@dom66.de> |
|---|---|
| date | Fri, 19 Sep 2025 19:59:23 +0200 |
| parents | b50eed0cc0ef |
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| rev | line source |
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1 /********************************************************************** |
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2 * File: tfacepp.cpp (Formerly tface++.c) |
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3 * Description: C++ side of the C/C++ Tess/Editor interface. |
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4 * Author: Ray Smith |
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5 * |
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6 * (C) Copyright 1992, Hewlett-Packard Ltd. |
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7 ** Licensed under the Apache License, Version 2.0 (the "License"); |
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8 ** you may not use this file except in compliance with the License. |
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9 ** You may obtain a copy of the License at |
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10 ** http://www.apache.org/licenses/LICENSE-2.0 |
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11 ** Unless required by applicable law or agreed to in writing, software |
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12 ** distributed under the License is distributed on an "AS IS" BASIS, |
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13 ** WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
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14 ** See the License for the specific language governing permissions and |
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15 ** limitations under the License. |
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16 * |
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17 **********************************************************************/ |
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18 |
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19 #include <cmath> |
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20 |
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21 #include "blamer.h" |
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22 #include "errcode.h" |
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23 #include "ratngs.h" |
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24 #include "reject.h" |
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25 #include "tesseractclass.h" |
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26 #include "werd.h" |
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27 |
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28 #define MAX_UNDIVIDED_LENGTH 24 |
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29 |
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30 /********************************************************************** |
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31 * recog_word |
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32 * |
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33 * Convert the word to tess form and pass it to the tess segmenter. |
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34 * Convert the output back to editor form. |
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35 **********************************************************************/ |
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36 namespace tesseract { |
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37 void Tesseract::recog_word(WERD_RES *word) { |
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38 if (wordrec_skip_no_truth_words && |
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39 (word->blamer_bundle == nullptr || |
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40 word->blamer_bundle->incorrect_result_reason() == IRR_NO_TRUTH)) { |
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41 if (classify_debug_level) { |
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42 tprintf("No truth for word - skipping\n"); |
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43 } |
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44 word->tess_failed = true; |
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45 return; |
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46 } |
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47 ASSERT_HOST(!word->chopped_word->blobs.empty()); |
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48 recog_word_recursive(word); |
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49 word->SetupBoxWord(); |
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50 ASSERT_HOST(static_cast<unsigned>(word->best_choice->length()) == word->box_word->length()); |
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51 // Check that the ratings matrix size matches the sum of all the |
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52 // segmentation states. |
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53 if (!word->StatesAllValid()) { |
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54 tprintf("Not all words have valid states relative to ratings matrix!!"); |
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55 word->DebugWordChoices(true, nullptr); |
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56 ASSERT_HOST(word->StatesAllValid()); |
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57 } |
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58 if (tessedit_override_permuter) { |
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59 /* Override the permuter type if a straight dictionary check disagrees. */ |
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60 uint8_t perm_type = word->best_choice->permuter(); |
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61 if ((perm_type != SYSTEM_DAWG_PERM) && (perm_type != FREQ_DAWG_PERM) && |
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62 (perm_type != USER_DAWG_PERM)) { |
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63 uint8_t real_dict_perm_type = dict_word(*word->best_choice); |
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64 if (((real_dict_perm_type == SYSTEM_DAWG_PERM) || (real_dict_perm_type == FREQ_DAWG_PERM) || |
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65 (real_dict_perm_type == USER_DAWG_PERM)) && |
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66 (alpha_count(word->best_choice->unichar_string().c_str(), |
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67 word->best_choice->unichar_lengths().c_str()) > 0)) { |
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68 word->best_choice->set_permuter(real_dict_perm_type); // use dict perm |
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69 } |
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70 } |
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71 if (tessedit_rejection_debug && perm_type != word->best_choice->permuter()) { |
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72 tprintf("Permuter Type Flipped from %d to %d\n", perm_type, word->best_choice->permuter()); |
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73 } |
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74 } |
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75 // Factored out from control.cpp |
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76 ASSERT_HOST((word->best_choice == nullptr) == (word->raw_choice == nullptr)); |
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77 if (word->best_choice == nullptr || word->best_choice->empty() || |
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78 strspn(word->best_choice->unichar_string().c_str(), " ") == |
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79 word->best_choice->length()) { |
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80 word->tess_failed = true; |
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81 word->reject_map.initialise(word->box_word->length()); |
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82 word->reject_map.rej_word_tess_failure(); |
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83 } else { |
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84 word->tess_failed = false; |
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85 } |
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86 } |
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87 |
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88 /********************************************************************** |
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89 * recog_word_recursive |
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90 * |
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91 * Convert the word to tess form and pass it to the tess segmenter. |
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92 * Convert the output back to editor form. |
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93 **********************************************************************/ |
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94 void Tesseract::recog_word_recursive(WERD_RES *word) { |
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95 auto word_length = word->chopped_word->NumBlobs(); // no of blobs |
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96 if (word_length > MAX_UNDIVIDED_LENGTH) { |
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97 return split_and_recog_word(word); |
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98 } |
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99 cc_recog(word); |
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100 word_length = word->rebuild_word->NumBlobs(); // No of blobs in output. |
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101 |
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102 // Do sanity checks and minor fixes on best_choice. |
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103 if (word->best_choice->length() > word_length) { |
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104 word->best_choice->make_bad(); // should never happen |
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105 tprintf( |
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106 "recog_word: Discarded long string \"%s\"" |
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107 " (%d characters vs %d blobs)\n", |
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108 word->best_choice->unichar_string().c_str(), word->best_choice->length(), word_length); |
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109 tprintf("Word is at:"); |
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110 word->word->bounding_box().print(); |
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111 } |
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112 if (word->best_choice->length() < word_length) { |
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113 UNICHAR_ID space_id = unicharset.unichar_to_id(" "); |
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114 while (word->best_choice->length() < word_length) { |
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115 word->best_choice->append_unichar_id(space_id, 1, 0.0, word->best_choice->certainty()); |
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116 } |
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117 } |
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118 } |
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119 |
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120 /********************************************************************** |
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121 * split_and_recog_word |
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122 * |
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123 * Split the word into 2 smaller pieces at the largest gap. |
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124 * Recognize the pieces and stick the results back together. |
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125 **********************************************************************/ |
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126 void Tesseract::split_and_recog_word(WERD_RES *word) { |
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127 // Find the biggest blob gap in the chopped_word. |
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128 int bestgap = -INT32_MAX; |
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129 int split_index = 0; |
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130 for (unsigned b = 1; b < word->chopped_word->NumBlobs(); ++b) { |
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131 TBOX prev_box = word->chopped_word->blobs[b - 1]->bounding_box(); |
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132 TBOX blob_box = word->chopped_word->blobs[b]->bounding_box(); |
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133 int gap = blob_box.left() - prev_box.right(); |
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134 if (gap > bestgap) { |
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135 bestgap = gap; |
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136 split_index = b; |
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137 } |
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138 } |
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139 ASSERT_HOST(split_index > 0); |
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140 |
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141 WERD_RES *word2 = nullptr; |
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142 BlamerBundle *orig_bb = nullptr; |
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143 split_word(word, split_index, &word2, &orig_bb); |
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144 |
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145 // Recognize the first part of the word. |
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146 recog_word_recursive(word); |
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147 // Recognize the second part of the word. |
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148 recog_word_recursive(word2); |
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149 |
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150 join_words(word, word2, orig_bb); |
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151 } |
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152 |
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153 /********************************************************************** |
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154 * split_word |
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155 * |
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156 * Split a given WERD_RES in place into two smaller words for recognition. |
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157 * split_pt is the index of the first blob to go in the second word. |
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158 * The underlying word is left alone, only the TWERD (and subsequent data) |
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159 * are split up. orig_blamer_bundle is set to the original blamer bundle, |
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160 * and will now be owned by the caller. New blamer bundles are forged for the |
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161 * two pieces. |
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162 **********************************************************************/ |
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163 void Tesseract::split_word(WERD_RES *word, unsigned split_pt, WERD_RES **right_piece, |
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164 BlamerBundle **orig_blamer_bundle) const { |
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165 ASSERT_HOST(split_pt > 0 && split_pt < word->chopped_word->NumBlobs()); |
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166 |
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167 // Save a copy of the blamer bundle so we can try to reconstruct it below. |
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168 BlamerBundle *orig_bb = word->blamer_bundle ? new BlamerBundle(*word->blamer_bundle) : nullptr; |
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169 |
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170 auto *word2 = new WERD_RES(*word); |
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171 |
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172 // blow away the copied chopped_word, as we want to work with |
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173 // the blobs from the input chopped_word so seam_arrays can be merged. |
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174 TWERD *chopped = word->chopped_word; |
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175 auto *chopped2 = new TWERD; |
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176 chopped2->blobs.reserve(chopped->NumBlobs() - split_pt); |
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177 for (auto i = split_pt; i < chopped->NumBlobs(); ++i) { |
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178 chopped2->blobs.push_back(chopped->blobs[i]); |
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179 } |
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180 chopped->blobs.resize(split_pt); |
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181 word->chopped_word = nullptr; |
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182 delete word2->chopped_word; |
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183 word2->chopped_word = nullptr; |
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184 |
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185 const UNICHARSET &unicharset = *word->uch_set; |
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186 word->ClearResults(); |
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187 word2->ClearResults(); |
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188 word->chopped_word = chopped; |
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189 word2->chopped_word = chopped2; |
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190 word->SetupBasicsFromChoppedWord(unicharset); |
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191 word2->SetupBasicsFromChoppedWord(unicharset); |
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192 |
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193 // Try to adjust the blamer bundle. |
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194 if (orig_bb != nullptr) { |
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195 // TODO(rays) Looks like a leak to me. |
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196 // orig_bb should take, rather than copy. |
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197 word->blamer_bundle = new BlamerBundle(); |
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198 word2->blamer_bundle = new BlamerBundle(); |
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199 orig_bb->SplitBundle(chopped->blobs.back()->bounding_box().right(), |
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200 word2->chopped_word->blobs[0]->bounding_box().left(), wordrec_debug_blamer, |
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201 word->blamer_bundle, word2->blamer_bundle); |
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202 } |
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203 |
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204 *right_piece = word2; |
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205 *orig_blamer_bundle = orig_bb; |
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206 } |
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207 |
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208 /********************************************************************** |
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209 * join_words |
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210 * |
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211 * The opposite of split_word(): |
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212 * join word2 (including any recognized data / seam array / etc) |
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213 * onto the right of word and then delete word2. |
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214 * Also, if orig_bb is provided, stitch it back into word. |
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215 **********************************************************************/ |
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216 void Tesseract::join_words(WERD_RES *word, WERD_RES *word2, BlamerBundle *orig_bb) const { |
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217 TBOX prev_box = word->chopped_word->blobs.back()->bounding_box(); |
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218 TBOX blob_box = word2->chopped_word->blobs[0]->bounding_box(); |
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219 // Tack the word2 outputs onto the end of the word outputs. |
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220 word->chopped_word->blobs.insert(word->chopped_word->blobs.end(), word2->chopped_word->blobs.begin(), word2->chopped_word->blobs.end()); |
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221 word->rebuild_word->blobs.insert(word->rebuild_word->blobs.end(), word2->rebuild_word->blobs.begin(), word2->rebuild_word->blobs.end()); |
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222 word2->chopped_word->blobs.clear(); |
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223 word2->rebuild_word->blobs.clear(); |
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224 TPOINT split_pt; |
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225 split_pt.x = (prev_box.right() + blob_box.left()) / 2; |
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226 split_pt.y = (prev_box.top() + prev_box.bottom() + blob_box.top() + blob_box.bottom()) / 4; |
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227 // Move the word2 seams onto the end of the word1 seam_array. |
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228 // Since the seam list is one element short, an empty seam marking the |
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229 // end of the last blob in the first word is needed first. |
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230 word->seam_array.push_back(new SEAM(0.0f, split_pt)); |
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231 word->seam_array.insert(word->seam_array.end(), word2->seam_array.begin(), word2->seam_array.end()); |
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232 word2->seam_array.clear(); |
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233 // Fix widths and gaps. |
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234 word->blob_widths.insert(word->blob_widths.end(), word2->blob_widths.begin(), word2->blob_widths.end()); |
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235 word->blob_gaps.insert(word->blob_gaps.end(), word2->blob_gaps.begin(), word2->blob_gaps.end()); |
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236 // Fix the ratings matrix. |
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237 int rat1 = word->ratings->dimension(); |
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238 int rat2 = word2->ratings->dimension(); |
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239 word->ratings->AttachOnCorner(word2->ratings); |
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240 ASSERT_HOST(word->ratings->dimension() == rat1 + rat2); |
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241 word->best_state.insert(word->best_state.end(), word2->best_state.begin(), word2->best_state.end()); |
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242 // Append the word choices. |
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243 *word->raw_choice += *word2->raw_choice; |
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244 |
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245 // How many alt choices from each should we try to get? |
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246 const int kAltsPerPiece = 2; |
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247 // When do we start throwing away extra alt choices? |
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248 const int kTooManyAltChoices = 100; |
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249 |
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250 // Construct the cartesian product of the best_choices of word(1) and word2. |
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251 WERD_CHOICE_LIST joined_choices; |
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252 WERD_CHOICE_IT jc_it(&joined_choices); |
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253 WERD_CHOICE_IT bc1_it(&word->best_choices); |
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254 WERD_CHOICE_IT bc2_it(&word2->best_choices); |
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255 int num_word1_choices = word->best_choices.length(); |
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256 int total_joined_choices = num_word1_choices; |
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257 // Nota Bene: For the main loop here, we operate only on the 2nd and greater |
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258 // word2 choices, and put them in the joined_choices list. The 1st word2 |
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259 // choice gets added to the original word1 choices in-place after we have |
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260 // finished with them. |
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261 int bc2_index = 1; |
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262 for (bc2_it.forward(); !bc2_it.at_first(); bc2_it.forward(), ++bc2_index) { |
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263 if (total_joined_choices >= kTooManyAltChoices && bc2_index > kAltsPerPiece) { |
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264 break; |
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265 } |
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266 int bc1_index = 0; |
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267 for (bc1_it.move_to_first(); bc1_index < num_word1_choices; ++bc1_index, bc1_it.forward()) { |
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268 if (total_joined_choices >= kTooManyAltChoices && bc1_index > kAltsPerPiece) { |
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269 break; |
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270 } |
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271 auto *wc = new WERD_CHOICE(*bc1_it.data()); |
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272 *wc += *bc2_it.data(); |
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273 jc_it.add_after_then_move(wc); |
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274 ++total_joined_choices; |
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275 } |
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276 } |
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277 // Now that we've filled in as many alternates as we want, paste the best |
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278 // choice for word2 onto the original word alt_choices. |
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279 bc1_it.move_to_first(); |
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280 bc2_it.move_to_first(); |
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281 for (bc1_it.mark_cycle_pt(); !bc1_it.cycled_list(); bc1_it.forward()) { |
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282 *bc1_it.data() += *bc2_it.data(); |
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283 } |
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284 bc1_it.move_to_last(); |
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285 bc1_it.add_list_after(&joined_choices); |
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286 |
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287 // Restore the pointer to original blamer bundle and combine blamer |
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288 // information recorded in the splits. |
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289 if (orig_bb != nullptr) { |
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290 orig_bb->JoinBlames(*word->blamer_bundle, *word2->blamer_bundle, wordrec_debug_blamer); |
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291 delete word->blamer_bundle; |
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292 word->blamer_bundle = orig_bb; |
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293 } |
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294 word->SetupBoxWord(); |
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295 word->reject_map.initialise(word->box_word->length()); |
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296 delete word2; |
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297 } |
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298 |
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299 } // namespace tesseract |
