Mercurial > hgrepos > Python2 > PyMuPDF

annotate mupdf-source/thirdparty/tesseract/src/training/common/intfeaturemap.h @ 17:dd9cdb856310

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Remove PKG-INFO from the because it is regenerated automatically for the sdist
author Franz Glasner <fzglas.hg@dom66.de>
date Thu, 18 Sep 2025 17:40:40 +0200
parents b50eed0cc0ef
children
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1 // Copyright 2010 Google Inc. All Rights Reserved.
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2 // Author: rays@google.com (Ray Smith)
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3 ///////////////////////////////////////////////////////////////////////
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4 // File: intfeaturemap.h
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5 // Description: Encapsulation of IntFeatureSpace with IndexMapBiDi
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6 // to provide a subspace mapping and fast feature lookup.
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7 //
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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_INTFEATUREMAP_H_
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21 #define TESSERACT_CLASSIFY_INTFEATUREMAP_H_
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23 #include "export.h"
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24 #include "indexmapbidi.h"
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25 #include "intfeaturespace.h"
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26 #include "intproto.h"
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28 namespace tesseract {
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30 class SampleIterator;
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32 // Number of positive and negative offset maps.
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33 static const int kNumOffsetMaps = 2;
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34
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35 // Class to map a feature space defined by INT_FEATURE_STRUCT to a compact
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36 // down-sampled subspace of actually used features.
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37 // The IntFeatureMap copes with 2 stages of transformation:
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38 // The first step is down-sampling (re-quantization) and converting to a
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39 // single index value from the 3-D input:
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40 // INT_FEATURE_STRUCT <-> index feature (via IntFeatureSpace) and
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41 // the second is a feature-space compaction to map only the feature indices
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42 // that are actually used. This saves space in classifiers that are built
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43 // using the mapped feature space.
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44 // index (sparse) feature <-> map (compact) feature via IndexMapBiDi.
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45 // Although the transformations are reversible, the inverses are lossy and do
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46 // not return the exact input INT_FEATURE_STRUCT, due to the many->one nature
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47 // of both transformations.
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48 class TESS_COMMON_TRAINING_API IntFeatureMap {
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49 public:
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50 IntFeatureMap();
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51 ~IntFeatureMap();
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52
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53 // Accessors.
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54 int sparse_size() const {
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55 return feature_space_.Size();
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56 }
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57 int compact_size() const {
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58 return compact_size_;
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59 }
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60 const IntFeatureSpace &feature_space() const {
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61 return feature_space_;
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62 }
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63 const IndexMapBiDi &feature_map() const {
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64 return feature_map_;
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65 }
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66
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67 // Pseudo-accessors.
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68 int IndexFeature(const INT_FEATURE_STRUCT &f) const;
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69 int MapFeature(const INT_FEATURE_STRUCT &f) const;
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70 int MapIndexFeature(int index_feature) const;
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71 INT_FEATURE_STRUCT InverseIndexFeature(int index_feature) const;
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72 INT_FEATURE_STRUCT InverseMapFeature(int map_feature) const;
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73 void DeleteMapFeature(int map_feature);
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74 bool IsMapFeatureDeleted(int map_feature) const;
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75
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76 // Copies the given feature_space and uses it as the index feature map
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77 // from INT_FEATURE_STRUCT.
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78 void Init(const IntFeatureSpace &feature_space);
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79
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80 // Helper to return an offset index feature. In this context an offset
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81 // feature with a dir of +/-1 is a feature of a similar direction,
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82 // but shifted perpendicular to the direction of the feature. An offset
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83 // feature with a dir of +/-2 is feature at the same position, but rotated
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84 // by +/- one [compact] quantum. Returns the index of the generated offset
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85 // feature, or -1 if it doesn't exist. Dir should be in
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86 // [-kNumOffsetMaps, kNumOffsetMaps] to indicate the relative direction.
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87 // A dir of 0 is an identity transformation.
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88 // Both input and output are from the index(sparse) feature space, not
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89 // the mapped/compact feature space, but the offset feature is the minimum
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90 // distance moved from the input to guarantee that it maps to the next
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91 // available quantum in the mapped/compact space.
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92 int OffsetFeature(int index_feature, int dir) const;
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93
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94 // Computes the features used by the subset of samples defined by
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95 // the iterator and sets up the feature mapping.
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96 // Returns the size of the compacted feature space.
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97 int FindNZFeatureMapping(SampleIterator *it);
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98
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99 // After deleting some features, finish setting up the mapping, and map
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100 // all the samples. Returns the size of the compacted feature space.
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101 int FinalizeMapping(SampleIterator *it);
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102
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103 // Indexes the given array of features to a vector of sorted indices.
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104 void IndexAndSortFeatures(const INT_FEATURE_STRUCT *features, int num_features,
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105 std::vector<int> *sorted_features) const {
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106 feature_space_.IndexAndSortFeatures(features, num_features, sorted_features);
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107 }
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108 // Maps the given array of index/sparse features to an array of map/compact
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109 // features.
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110 // Assumes the input is sorted. The output indices are sorted and uniqued.
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111 // Returns the number of "missed" features, being features that
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112 // don't map to the compact feature space.
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113 int MapIndexedFeatures(const std::vector<int> &index_features,
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114 std::vector<int> *map_features) const {
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115 return feature_map_.MapFeatures(index_features, map_features);
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116 }
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117
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118 // Prints the map features from the set in human-readable form.
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119 void DebugMapFeatures(const std::vector<int> &map_features) const;
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120
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121 private:
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122 void Clear();
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123
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124 // Helper to compute an offset index feature. In this context an offset
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125 // feature with a dir of +/-1 is a feature of a similar direction,
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126 // but shifted perpendicular to the direction of the feature. An offset
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127 // feature with a dir of +/-2 is feature at the same position, but rotated
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128 // by +/- one [compact] quantum. Returns the index of the generated offset
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129 // feature, or -1 if it doesn't exist. Dir should be in
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130 // [-kNumOffsetMaps, kNumOffsetMaps] to indicate the relative direction.
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131 // A dir of 0 is an identity transformation.
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132 // Both input and output are from the index(sparse) feature space, not
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133 // the mapped/compact feature space, but the offset feature is the minimum
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134 // distance moved from the input to guarantee that it maps to the next
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135 // available quantum in the mapped/compact space.
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136 int ComputeOffsetFeature(int index_feature, int dir) const;
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137
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138 // True if the mapping has changed since it was last finalized.
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139 bool mapping_changed_;
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140 // Size of the compacted feature space, after unused features are removed.
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141 int compact_size_;
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142 // Feature space quantization definition and indexing from INT_FEATURE_STRUCT.
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143 IntFeatureSpace feature_space_;
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144 // Mapping from indexed feature space to the compacted space with unused
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145 // features mapping to -1.
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146 IndexMapBiDi feature_map_;
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147 // Index tables to map a feature index to the corresponding feature after a
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148 // shift perpendicular to the feature direction, or a rotation in place.
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149 // An entry of -1 indicates that there is no corresponding feature.
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150 // Array of arrays of size feature_space_.Size() owned by this class.
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151 int *offset_plus_[kNumOffsetMaps];
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152 int *offset_minus_[kNumOffsetMaps];
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153
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154 // Don't use default copy and assign!
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155 IntFeatureMap(const IntFeatureMap &);
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156 void operator=(const IntFeatureMap &);
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157 };
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158
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159 } // namespace tesseract.
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160
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161 #endif // TESSERACT_CLASSIFY_INTFEATUREMAP_H_