Mercurial > hgrepos > Python2 > PyMuPDF
comparison mupdf-source/thirdparty/tesseract/src/classify/tessclassifier.cpp @ 2:b50eed0cc0ef upstream
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
The directory name has changed: no version number in the expanded directory now.
| author | Franz Glasner <fzglas.hg@dom66.de> |
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| date | Mon, 15 Sep 2025 11:43:07 +0200 |
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| 1:1d09e1dec1d9 | 2:b50eed0cc0ef |
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| 1 /////////////////////////////////////////////////////////////////////// | |
| 2 // File: tessclassifier.cpp | |
| 3 // Description: Tesseract implementation of a ShapeClassifier. | |
| 4 // Author: Ray Smith | |
| 5 // | |
| 6 // (C) Copyright 2011, Google Inc. | |
| 7 // Licensed under the Apache License, Version 2.0 (the "License"); | |
| 8 // you may not use this file except in compliance with the License. | |
| 9 // You may obtain a copy of the License at | |
| 10 // http://www.apache.org/licenses/LICENSE-2.0 | |
| 11 // Unless required by applicable law or agreed to in writing, software | |
| 12 // distributed under the License is distributed on an "AS IS" BASIS, | |
| 13 // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| 14 // See the License for the specific language governing permissions and | |
| 15 // limitations under the License. | |
| 16 // | |
| 17 /////////////////////////////////////////////////////////////////////// | |
| 18 | |
| 19 #include "tessclassifier.h" | |
| 20 | |
| 21 #include "classify.h" | |
| 22 #include "trainingsample.h" | |
| 23 | |
| 24 namespace tesseract { | |
| 25 | |
| 26 // Classifies the given [training] sample, writing to results. | |
| 27 // See ShapeClassifier for a full description. | |
| 28 int TessClassifier::UnicharClassifySample(const TrainingSample &sample, Image page_pix, int debug, | |
| 29 UNICHAR_ID keep_this, | |
| 30 std::vector<UnicharRating> *results) { | |
| 31 const int old_matcher_level = classify_->matcher_debug_level; | |
| 32 const int old_matcher_flags = classify_->matcher_debug_flags; | |
| 33 const int old_classify_level = classify_->classify_debug_level; | |
| 34 if (debug) { | |
| 35 // Explicitly set values of various control parameters to generate debug | |
| 36 // output if required, restoring the old values after classifying. | |
| 37 classify_->matcher_debug_level.set_value(2); | |
| 38 classify_->matcher_debug_flags.set_value(25); | |
| 39 classify_->classify_debug_level.set_value(3); | |
| 40 } | |
| 41 classify_->CharNormTrainingSample(pruner_only_, keep_this, sample, results); | |
| 42 if (debug) { | |
| 43 classify_->matcher_debug_level.set_value(old_matcher_level); | |
| 44 classify_->matcher_debug_flags.set_value(old_matcher_flags); | |
| 45 classify_->classify_debug_level.set_value(old_classify_level); | |
| 46 } | |
| 47 return results->size(); | |
| 48 } | |
| 49 | |
| 50 // Provides access to the ShapeTable that this classifier works with. | |
| 51 const ShapeTable *TessClassifier::GetShapeTable() const { | |
| 52 return classify_->shape_table(); | |
| 53 } | |
| 54 // Provides access to the UNICHARSET that this classifier works with. | |
| 55 // Only needs to be overridden if GetShapeTable() can return nullptr. | |
| 56 const UNICHARSET &TessClassifier::GetUnicharset() const { | |
| 57 return classify_->unicharset; | |
| 58 } | |
| 59 | |
| 60 // Displays classification as the given shape_id. Creates as many windows | |
| 61 // as it feels fit, using index as a guide for placement. Adds any created | |
| 62 // windows to the windows output and returns a new index that may be used | |
| 63 // by any subsequent classifiers. Caller waits for the user to view and | |
| 64 // then destroys the windows by clearing the vector. | |
| 65 int TessClassifier::DisplayClassifyAs(const TrainingSample &sample, Image page_pix, int unichar_id, | |
| 66 int index, std::vector<ScrollView *> &windows) { | |
| 67 int shape_id = unichar_id; | |
| 68 // TODO(rays) Fix this so it works with both flat and real shapetables. | |
| 69 // if (GetShapeTable() != nullptr) | |
| 70 // shape_id = BestShapeForUnichar(sample, page_pix, unichar_id, nullptr); | |
| 71 if (shape_id < 0) { | |
| 72 return index; | |
| 73 } | |
| 74 if (UnusedClassIdIn(classify_->PreTrainedTemplates, shape_id)) { | |
| 75 tprintf("No built-in templates for class/shape %d\n", shape_id); | |
| 76 return index; | |
| 77 } | |
| 78 #ifndef GRAPHICS_DISABLED | |
| 79 classify_->ShowBestMatchFor(shape_id, sample.features(), sample.num_features()); | |
| 80 #endif | |
| 81 return index; | |
| 82 } | |
| 83 | |
| 84 } // namespace tesseract |
