Mercurial > hgrepos > Python2 > PyMuPDF

annotate mupdf-source/thirdparty/tesseract/src/classify/shapeclassifier.h @ 38:8934ac156ef5

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Allow to build with the PyPI package "clang" instead of "libclang". 1. It seems to be maintained. 2. In the FreeBSD base system there is no pre-built libclang.so. If you need this library you have to install llvm from ports additionally. 2. On FreeBSD there is no pre-built wheel "libclang" with a packaged libclang.so.
author Franz Glasner <fzglas.hg@dom66.de>
date Tue, 23 Sep 2025 10:27:15 +0200
parents b50eed0cc0ef
children
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1 ///////////////////////////////////////////////////////////////////////
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2 // File: shapeclassifier.h
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3 // Description: Base interface class for classifiers that return a
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4 // shape index.
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5 // Author: Ray Smith
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6 //
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7 // (C) Copyright 2011, Google Inc.
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8 // Licensed under the Apache License, Version 2.0 (the "License");
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9 // you may not use this file except in compliance with the License.
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10 // You may obtain a copy of the License at
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11 // http://www.apache.org/licenses/LICENSE-2.0
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12 // Unless required by applicable law or agreed to in writing, software
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13 // distributed under the License is distributed on an "AS IS" BASIS,
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14 // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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15 // See the License for the specific language governing permissions and
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16 // limitations under the License.
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17 //
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18 ///////////////////////////////////////////////////////////////////////
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20 #ifndef TESSERACT_CLASSIFY_SHAPECLASSIFIER_H_
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21 #define TESSERACT_CLASSIFY_SHAPECLASSIFIER_H_
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23 #include "image.h"
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25 #include <tesseract/unichar.h>
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27 #include <vector>
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29 struct Pix;
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31 namespace tesseract {
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33 class ScrollView;
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34 class UNICHARSET;
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36 struct ShapeRating;
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37 class ShapeTable;
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38 class TrainingSample;
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39 class TrainingSampleSet;
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40 struct UnicharRating;
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42 // Interface base class for classifiers that produce ShapeRating results.
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43 class TESS_API ShapeClassifier {
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44 public:
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45 virtual ~ShapeClassifier() = default;
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47 // Classifies the given [training] sample, writing to results.
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48 // If page_pix is not nullptr, the overriding function may call
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49 // sample.GetSamplePix(padding, page_pix) to get an image of the sample
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50 // padded (with real image data) by the given padding to extract features
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51 // from the image of the character. Other members of TrainingSample:
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52 // features(), micro_features(), cn_feature(), geo_feature() may be used
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53 // to get the appropriate tesseract features.
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54 // If debug is non-zero, then various degrees of classifier dependent debug
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55 // information is provided.
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56 // If keep_this (a UNICHAR_ID) is >= 0, then the results should always
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57 // contain keep_this, and (if possible) anything of intermediate confidence.
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58 // (Used for answering "Why didn't it get that right?" questions.) It must
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59 // be a UNICHAR_ID as the callers have no clue how to choose the best shape
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60 // that may contain a desired answer.
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61 // The return value is the number of classes saved in results.
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62 // NOTE that overriding functions MUST clear and sort the results by
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63 // descending rating unless the classifier is working with a team of such
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64 // classifiers.
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65 // NOTE: Neither overload of ClassifySample is pure, but at least one must
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66 // be overridden by a classifier in order for it to do anything.
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67 virtual int UnicharClassifySample(const TrainingSample &sample, Image page_pix, int debug,
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68 UNICHAR_ID keep_this, std::vector<UnicharRating> *results);
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70 protected:
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71 virtual int ClassifySample(const TrainingSample &sample, Image page_pix, int debug,
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72 UNICHAR_ID keep_this, std::vector<ShapeRating> *results);
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74 public:
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75 // Returns the shape that contains unichar_id that has the best result.
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76 // If result is not nullptr, it is set with the shape_id and rating.
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77 // Returns -1 if ClassifySample fails to provide any result containing
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78 // unichar_id. BestShapeForUnichar does not need to be overridden if
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79 // ClassifySample respects the keep_this rule.
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80 virtual int BestShapeForUnichar(const TrainingSample &sample, Image page_pix,
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81 UNICHAR_ID unichar_id, ShapeRating *result);
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82
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83 // Provides access to the ShapeTable that this classifier works with.
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84 virtual const ShapeTable *GetShapeTable() const = 0;
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85 // Provides access to the UNICHARSET that this classifier works with.
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86 // Must be overridden IFF GetShapeTable() returns nullptr.
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87 virtual const UNICHARSET &GetUnicharset() const;
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89 // Visual debugger classifies the given sample, displays the results and
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90 // solicits user input to display other classifications. Returns when
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91 // the user has finished with debugging the sample.
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92 // Probably doesn't need to be overridden if the subclass provides
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93 // DisplayClassifyAs.
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94 void DebugDisplay(const TrainingSample &sample, Image page_pix, UNICHAR_ID unichar_id);
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96 // Displays classification as the given unichar_id. Creates as many windows
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97 // as it feels fit, using index as a guide for placement. Adds any created
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98 // windows to the windows output and returns a new index that may be used
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99 // by any subsequent classifiers. Caller waits for the user to view and
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100 // then destroys the windows by clearing the vector.
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101 virtual int DisplayClassifyAs(const TrainingSample &sample, Image page_pix, UNICHAR_ID unichar_id,
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102 int index, std::vector<ScrollView *> &windows);
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103
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104 // Prints debug information on the results. context is some introductory/title
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105 // message.
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106 virtual void UnicharPrintResults(const char *context,
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107 const std::vector<UnicharRating> &results) const;
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108 virtual void PrintResults(const char *context, const std::vector<ShapeRating> &results) const;
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109
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110 protected:
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111 // Removes any result that has all its unichars covered by a better choice,
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112 // regardless of font.
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113 void FilterDuplicateUnichars(std::vector<ShapeRating> *results) const;
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114 };
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115
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116 } // namespace tesseract.
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117
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118 #endif // TESSERACT_CLASSIFY_SHAPECLASSIFIER_H_