Mercurial > hgrepos > Python2 > PyMuPDF
annotate mupdf-source/thirdparty/tesseract/src/ccmain/recogtraining.cpp @ 21:2f43e400f144
Provide an "all" target to build both the sdist and the wheel
| author | Franz Glasner <fzglas.hg@dom66.de> |
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| date | Fri, 19 Sep 2025 10:28:53 +0200 |
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| rev | line source |
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1 /////////////////////////////////////////////////////////////////////// |
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2 // File: recogtraining.cpp |
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3 // Description: Functions for ambiguity and parameter training. |
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4 // Author: Daria Antonova |
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5 // |
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6 // (C) Copyright 2009, 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 |
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19 #include "tesseractclass.h" |
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20 |
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21 #include "boxread.h" |
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22 #include "control.h" |
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23 #include "host.h" // for NearlyEqual |
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24 #include "ratngs.h" |
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25 #ifndef DISABLED_LEGACY_ENGINE |
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26 # include "reject.h" |
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27 #endif |
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28 #include "stopper.h" |
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29 |
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30 namespace tesseract { |
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31 |
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32 const int16_t kMaxBoxEdgeDiff = 2; |
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33 |
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34 // Sets flags necessary for recognition in the training mode. |
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35 // Opens and returns the pointer to the output file. |
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36 FILE *Tesseract::init_recog_training(const char *filename) { |
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37 if (tessedit_ambigs_training) { |
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38 tessedit_tess_adaption_mode.set_value(0); // turn off adaption |
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39 tessedit_enable_doc_dict.set_value(false); // turn off document dictionary |
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40 // Explore all segmentations. |
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41 getDict().stopper_no_acceptable_choices.set_value(true); |
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42 } |
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43 |
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44 std::string output_fname = filename; |
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45 const char *lastdot = strrchr(output_fname.c_str(), '.'); |
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46 if (lastdot != nullptr) { |
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47 output_fname[lastdot - output_fname.c_str()] = '\0'; |
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48 } |
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49 output_fname += ".txt"; |
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50 FILE *output_file = fopen(output_fname.c_str(), "a+"); |
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51 if (output_file == nullptr) { |
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52 tprintf("Error: Could not open file %s\n", output_fname.c_str()); |
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53 ASSERT_HOST(output_file); |
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54 } |
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55 return output_file; |
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56 } |
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57 |
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58 // Copies the bounding box from page_res_it->word() to the given TBOX. |
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59 static bool read_t(PAGE_RES_IT *page_res_it, TBOX *tbox) { |
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60 while (page_res_it->block() != nullptr && page_res_it->word() == nullptr) { |
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61 page_res_it->forward(); |
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62 } |
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63 |
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64 if (page_res_it->word() != nullptr) { |
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65 *tbox = page_res_it->word()->word->bounding_box(); |
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66 |
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67 // If tbox->left() is negative, the training image has vertical text and |
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68 // all the coordinates of bounding boxes of page_res are rotated by 90 |
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69 // degrees in a counterclockwise direction. We need to rotate the TBOX back |
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70 // in order to compare with the TBOXes of box files. |
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71 if (tbox->left() < 0) { |
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72 tbox->rotate(FCOORD(0.0, -1.0)); |
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73 } |
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74 |
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75 return true; |
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76 } else { |
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77 return false; |
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78 } |
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79 } |
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80 |
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81 // This function takes tif/box pair of files and runs recognition on the image, |
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82 // while making sure that the word bounds that tesseract identified roughly |
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83 // match to those specified by the input box file. For each word (ngram in a |
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84 // single bounding box from the input box file) it outputs the ocred result, |
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85 // the correct label, rating and certainty. |
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86 void Tesseract::recog_training_segmented(const char *filename, PAGE_RES *page_res, |
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Franz Glasner <fzglas.hg@dom66.de>
parents:
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|
87 volatile ETEXT_DESC *monitor, FILE *output_file) { |
|
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|
88 std::string box_fname = filename; |
|
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parents:
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|
89 const char *lastdot = strrchr(box_fname.c_str(), '.'); |
|
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parents:
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|
90 if (lastdot != nullptr) { |
|
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ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
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parents:
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|
91 box_fname[lastdot - box_fname.c_str()] = '\0'; |
|
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92 } |
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parents:
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|
93 box_fname += ".box"; |
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94 // ReadNextBox() will close box_file |
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|
95 FILE *box_file = fopen(box_fname.c_str(), "r"); |
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|
96 if (box_file == nullptr) { |
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|
97 tprintf("Error: Could not open file %s\n", box_fname.c_str()); |
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|
98 ASSERT_HOST(box_file); |
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99 } |
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|
100 |
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|
101 PAGE_RES_IT page_res_it; |
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102 page_res_it.page_res = page_res; |
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|
103 page_res_it.restart_page(); |
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|
104 std::string label; |
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105 |
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106 // Process all the words on this page. |
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107 TBOX tbox; // tesseract-identified box |
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108 TBOX bbox; // box from the box file |
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109 bool keep_going; |
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110 int line_number = 0; |
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111 int examined_words = 0; |
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112 do { |
|
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113 keep_going = read_t(&page_res_it, &tbox); |
|
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Franz Glasner <fzglas.hg@dom66.de>
parents:
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|
114 keep_going &= ReadNextBox(applybox_page, &line_number, box_file, label, &bbox); |
|
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115 // Align bottom left points of the TBOXes. |
|
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116 while (keep_going && !NearlyEqual<int>(tbox.bottom(), bbox.bottom(), kMaxBoxEdgeDiff)) { |
|
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|
117 if (bbox.bottom() < tbox.bottom()) { |
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|
118 page_res_it.forward(); |
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parents:
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119 keep_going = read_t(&page_res_it, &tbox); |
|
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120 } else { |
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parents:
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121 keep_going = ReadNextBox(applybox_page, &line_number, box_file, label, &bbox); |
|
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122 } |
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parents:
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123 } |
|
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124 while (keep_going && !NearlyEqual<int>(tbox.left(), bbox.left(), kMaxBoxEdgeDiff)) { |
|
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ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
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parents:
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125 if (bbox.left() > tbox.left()) { |
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|
126 page_res_it.forward(); |
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127 keep_going = read_t(&page_res_it, &tbox); |
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128 } else { |
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129 keep_going = ReadNextBox(applybox_page, &line_number, box_file, label, &bbox); |
|
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130 } |
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131 } |
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132 // OCR the word if top right points of the TBOXes are similar. |
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133 if (keep_going && NearlyEqual<int>(tbox.right(), bbox.right(), kMaxBoxEdgeDiff) && |
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parents:
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134 NearlyEqual<int>(tbox.top(), bbox.top(), kMaxBoxEdgeDiff)) { |
|
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Franz Glasner <fzglas.hg@dom66.de>
parents:
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135 ambigs_classify_and_output(label.c_str(), &page_res_it, output_file); |
|
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Franz Glasner <fzglas.hg@dom66.de>
parents:
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136 examined_words++; |
|
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|
137 } |
|
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parents:
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|
138 page_res_it.forward(); |
|
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|
139 } while (keep_going); |
|
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parents:
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140 |
|
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parents:
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|
141 // Set up scripts on all of the words that did not get sent to |
|
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parents:
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|
142 // ambigs_classify_and_output. They all should have, but if all the |
|
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parents:
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|
143 // werd_res's don't get uch_sets, tesseract will crash when you try |
|
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parents:
diff
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|
144 // to iterate over them. :-( |
|
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parents:
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|
145 int total_words = 0; |
|
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Franz Glasner <fzglas.hg@dom66.de>
parents:
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|
146 for (page_res_it.restart_page(); page_res_it.block() != nullptr; page_res_it.forward()) { |
|
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parents:
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|
147 if (page_res_it.word()) { |
|
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parents:
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|
148 if (page_res_it.word()->uch_set == nullptr) { |
|
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Franz Glasner <fzglas.hg@dom66.de>
parents:
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|
149 page_res_it.word()->SetupFake(unicharset); |
|
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parents:
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|
150 } |
|
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parents:
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|
151 total_words++; |
|
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parents:
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152 } |
|
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parents:
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153 } |
|
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parents:
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|
154 if (examined_words < 0.85 * total_words) { |
|
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parents:
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|
155 tprintf( |
|
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parents:
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|
156 "TODO(antonova): clean up recog_training_segmented; " |
|
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parents:
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|
157 " It examined only a small fraction of the ambigs image.\n"); |
|
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parents:
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|
158 } |
|
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parents:
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|
159 tprintf("recog_training_segmented: examined %d / %d words.\n", examined_words, total_words); |
|
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160 } |
|
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parents:
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161 |
|
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parents:
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|
162 // Helper prints the given set of blob choices. |
|
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parents:
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|
163 static void PrintPath(int length, const BLOB_CHOICE **blob_choices, const UNICHARSET &unicharset, |
|
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parents:
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|
164 const char *label, FILE *output_file) { |
|
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Franz Glasner <fzglas.hg@dom66.de>
parents:
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|
165 float rating = 0.0f; |
|
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Franz Glasner <fzglas.hg@dom66.de>
parents:
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|
166 float certainty = 0.0f; |
|
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parents:
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|
167 for (int i = 0; i < length; ++i) { |
|
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Franz Glasner <fzglas.hg@dom66.de>
parents:
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|
168 const BLOB_CHOICE *blob_choice = blob_choices[i]; |
|
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Franz Glasner <fzglas.hg@dom66.de>
parents:
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|
169 fprintf(output_file, "%s", unicharset.id_to_unichar(blob_choice->unichar_id())); |
|
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parents:
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|
170 rating += blob_choice->rating(); |
|
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parents:
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|
171 if (certainty > blob_choice->certainty()) { |
|
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff
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|
172 certainty = blob_choice->certainty(); |
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173 } |
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174 } |
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175 fprintf(output_file, "\t%s\t%.4f\t%.4f\n", label, rating, certainty); |
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176 } |
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177 |
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178 // Helper recursively prints all paths through the ratings matrix, starting |
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179 // at column col. |
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180 static void PrintMatrixPaths(int col, int dim, const MATRIX &ratings, int length, |
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181 const BLOB_CHOICE **blob_choices, const UNICHARSET &unicharset, |
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182 const char *label, FILE *output_file) { |
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183 for (int row = col; row < dim && row - col < ratings.bandwidth(); ++row) { |
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184 if (ratings.get(col, row) != NOT_CLASSIFIED) { |
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185 BLOB_CHOICE_IT bc_it(ratings.get(col, row)); |
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186 for (bc_it.mark_cycle_pt(); !bc_it.cycled_list(); bc_it.forward()) { |
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187 blob_choices[length] = bc_it.data(); |
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188 if (row + 1 < dim) { |
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189 PrintMatrixPaths(row + 1, dim, ratings, length + 1, blob_choices, unicharset, label, |
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190 output_file); |
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191 } else { |
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192 PrintPath(length + 1, blob_choices, unicharset, label, output_file); |
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193 } |
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194 } |
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195 } |
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196 } |
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197 } |
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198 |
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199 // Runs classify_word_pass1() on the current word. Outputs Tesseract's |
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200 // raw choice as a result of the classification. For words labeled with a |
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201 // single unichar also outputs all alternatives from blob_choices of the |
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202 // best choice. |
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203 void Tesseract::ambigs_classify_and_output(const char *label, PAGE_RES_IT *pr_it, |
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204 FILE *output_file) { |
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205 // Classify word. |
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206 fflush(stdout); |
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207 WordData word_data(*pr_it); |
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208 SetupWordPassN(1, &word_data); |
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209 classify_word_and_language(1, pr_it, &word_data); |
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210 WERD_RES *werd_res = word_data.word; |
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211 WERD_CHOICE *best_choice = werd_res->best_choice; |
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212 ASSERT_HOST(best_choice != nullptr); |
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213 |
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214 // Compute the number of unichars in the label. |
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215 std::vector<UNICHAR_ID> encoding; |
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216 if (!unicharset.encode_string(label, true, &encoding, nullptr, nullptr)) { |
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217 tprintf("Not outputting illegal unichar %s\n", label); |
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218 return; |
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219 } |
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220 |
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221 // Dump all paths through the ratings matrix (which is normally small). |
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222 int dim = werd_res->ratings->dimension(); |
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223 const auto **blob_choices = new const BLOB_CHOICE *[dim]; |
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224 PrintMatrixPaths(0, dim, *werd_res->ratings, 0, blob_choices, unicharset, label, output_file); |
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225 delete[] blob_choices; |
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226 } |
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227 |
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228 } // namespace tesseract |
