Mercurial > hgrepos > Python2 > PyMuPDF
annotate mupdf-source/thirdparty/tesseract/src/training/common/intfeaturemap.h @ 40:aa33339d6b8a upstream
ADD: MuPDF v1.26.10: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.5.
| author | Franz Glasner <fzglas.hg@dom66.de> |
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| date | Sat, 11 Oct 2025 11:31:38 +0200 |
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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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19 |
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20 #ifndef TESSERACT_CLASSIFY_INTFEATUREMAP_H_ |
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21 #define TESSERACT_CLASSIFY_INTFEATUREMAP_H_ |
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22 |
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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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27 |
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28 namespace tesseract { |
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29 |
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30 class SampleIterator; |
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31 |
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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_ |
