Mercurial > hgrepos > Python2 > PyMuPDF

annotate mupdf-source/thirdparty/tesseract/src/training/common/intfeaturemap.cpp @ 2:b50eed0cc0ef upstream

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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>
date Mon, 15 Sep 2025 11:43:07 +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.cpp
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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 #include "intfeaturemap.h"
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22 #include "intfeaturespace.h"
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23 #include "intfx.h"
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24 // These includes do not exist yet, but will be coming soon.
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25 //#include "sampleiterator.h"
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26 //#include "trainingsample.h"
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27 //#include "trainingsampleset.h"
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29 namespace tesseract {
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31 const int kMaxOffsetDist = 32;
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32
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33 IntFeatureMap::IntFeatureMap() : mapping_changed_(true), compact_size_(0) {
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34 for (int dir = 0; dir < kNumOffsetMaps; ++dir) {
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35 offset_plus_[dir] = nullptr;
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36 offset_minus_[dir] = nullptr;
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37 }
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38 }
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39
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40 IntFeatureMap::~IntFeatureMap() {
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41 Clear();
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42 }
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43
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44 // Pseudo-accessors.
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45 int IntFeatureMap::IndexFeature(const INT_FEATURE_STRUCT &f) const {
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46 return feature_space_.Index(f);
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47 }
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48 int IntFeatureMap::MapFeature(const INT_FEATURE_STRUCT &f) const {
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49 return feature_map_.SparseToCompact(feature_space_.Index(f));
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50 }
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51 int IntFeatureMap::MapIndexFeature(int index_feature) const {
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52 return feature_map_.SparseToCompact(index_feature);
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53 }
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54 INT_FEATURE_STRUCT IntFeatureMap::InverseIndexFeature(int index_feature) const {
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55 return feature_space_.PositionFromIndex(index_feature);
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56 }
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57 INT_FEATURE_STRUCT IntFeatureMap::InverseMapFeature(int map_feature) const {
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58 int index = feature_map_.CompactToSparse(map_feature);
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59 return feature_space_.PositionFromIndex(index);
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60 }
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61 void IntFeatureMap::DeleteMapFeature(int map_feature) {
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62 feature_map_.Merge(-1, map_feature);
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63 mapping_changed_ = true;
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64 }
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65 bool IntFeatureMap::IsMapFeatureDeleted(int map_feature) const {
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66 return feature_map_.IsCompactDeleted(map_feature);
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67 }
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68
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69 // Copies the given feature_space and uses it as the index feature map
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70 // from INT_FEATURE_STRUCT.
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71 void IntFeatureMap::Init(const IntFeatureSpace &feature_space) {
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72 feature_space_ = feature_space;
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73 mapping_changed_ = false;
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74 int sparse_size = feature_space_.Size();
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75 feature_map_.Init(sparse_size, true);
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76 feature_map_.Setup();
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77 compact_size_ = feature_map_.CompactSize();
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78 // Initialize look-up tables if needed.
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79 FCOORD dir = FeatureDirection(0);
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80 if (dir.x() == 0.0f && dir.y() == 0.0f) {
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81 InitIntegerFX();
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82 }
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83 // Compute look-up tables to generate offset features.
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84 for (int dir = 0; dir < kNumOffsetMaps; ++dir) {
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85 delete[] offset_plus_[dir];
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86 delete[] offset_minus_[dir];
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87 offset_plus_[dir] = new int[sparse_size];
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88 offset_minus_[dir] = new int[sparse_size];
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89 }
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90 for (int dir = 1; dir <= kNumOffsetMaps; ++dir) {
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91 for (int i = 0; i < sparse_size; ++i) {
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92 int offset_index = ComputeOffsetFeature(i, dir);
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93 offset_plus_[dir - 1][i] = offset_index;
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94 offset_index = ComputeOffsetFeature(i, -dir);
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95 offset_minus_[dir - 1][i] = offset_index;
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96 }
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97 }
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98 }
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99
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100 // Helper to return an offset index feature. In this context an offset
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101 // feature with a dir of +/-1 is a feature of a similar direction,
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102 // but shifted perpendicular to the direction of the feature. An offset
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103 // feature with a dir of +/-2 is feature at the same position, but rotated
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104 // by +/- one [compact] quantum. Returns the index of the generated offset
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105 // feature, or -1 if it doesn't exist. Dir should be in
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106 // [-kNumOffsetMaps, kNumOffsetMaps] to indicate the relative direction.
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107 // A dir of 0 is an identity transformation.
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108 // Both input and output are from the index(sparse) feature space, not
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109 // the mapped/compact feature space, but the offset feature is the minimum
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110 // distance moved from the input to guarantee that it maps to the next
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111 // available quantum in the mapped/compact space.
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112 int IntFeatureMap::OffsetFeature(int index_feature, int dir) const {
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113 if (dir > 0 && dir <= kNumOffsetMaps) {
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114 return offset_plus_[dir - 1][index_feature];
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115 } else if (dir < 0 && -dir <= kNumOffsetMaps) {
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116 return offset_minus_[-dir - 1][index_feature];
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117 } else if (dir == 0) {
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118 return index_feature;
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119 } else {
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120 return -1;
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121 }
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122 }
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123
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124 //#define EXPERIMENT_ON
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125 #ifdef EXPERIMENT_ON // This code is commented out as SampleIterator and
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126 // TrainingSample are not reviewed/checked in yet, but these functions are a
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127 // useful indicator of how an IntFeatureMap is setup.
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128
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129 // Computes the features used by the subset of samples defined by
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130 // the iterator and sets up the feature mapping.
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131 // Returns the size of the compacted feature space.
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132 int IntFeatureMap::FindNZFeatureMapping(SampleIterator *it) {
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133 feature_map_.Init(feature_space_.Size(), false);
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134 int total_samples = 0;
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135 for (it->Begin(); !it->AtEnd(); it->Next()) {
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136 const TrainingSample &sample = it->GetSample();
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137 std::vector<int> features;
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138 feature_space_.IndexAndSortFeatures(sample.features(), sample.num_features(), &features);
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139 int num_features = features.size();
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140 for (int f = 0; f < num_features; ++f)
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141 feature_map_.SetMap(features[f], true);
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142 ++total_samples;
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143 }
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144 feature_map_.Setup();
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145 compact_size_ = feature_map_.CompactSize();
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146 mapping_changed_ = true;
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147 FinalizeMapping(it);
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148 tprintf("%d non-zero features found in %d samples\n", compact_size_, total_samples);
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149 return compact_size_;
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150 }
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151 #endif
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152
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153 // After deleting some features, finish setting up the mapping, and map
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154 // all the samples. Returns the size of the compacted feature space.
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155 int IntFeatureMap::FinalizeMapping(SampleIterator *it) {
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156 if (mapping_changed_) {
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157 feature_map_.CompleteMerges();
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158 compact_size_ = feature_map_.CompactSize();
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159 #ifdef EXPERIMENT_ON
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160 it->MapSampleFeatures(*this);
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161 #endif
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162 mapping_changed_ = false;
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163 }
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164 return compact_size_;
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165 }
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166
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167 // Prints the map features from the set in human-readable form.
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168 void IntFeatureMap::DebugMapFeatures(const std::vector<int> &map_features) const {
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169 for (int map_feature : map_features) {
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170 INT_FEATURE_STRUCT f = InverseMapFeature(map_feature);
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171 f.print();
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172 }
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173 }
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174
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175 void IntFeatureMap::Clear() {
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176 for (int dir = 0; dir < kNumOffsetMaps; ++dir) {
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177 delete[] offset_plus_[dir];
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178 delete[] offset_minus_[dir];
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179 offset_plus_[dir] = nullptr;
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180 offset_minus_[dir] = nullptr;
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181 }
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182 }
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183
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184 // Helper to compute an offset index feature. In this context an offset
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185 // feature with a dir of +/-1 is a feature of a similar direction,
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186 // but shifted perpendicular to the direction of the feature. An offset
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187 // feature with a dir of +/-2 is feature at the same position, but rotated
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188 // by +/- one [compact] quantum. Returns the index of the generated offset
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189 // feature, or -1 if it doesn't exist. Dir should be in
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190 // [-kNumOffsetMaps, kNumOffsetMaps] to indicate the relative direction.
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191 // A dir of 0 is an identity transformation.
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192 // Both input and output are from the index(sparse) feature space, not
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193 // the mapped/compact feature space, but the offset feature is the minimum
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194 // distance moved from the input to guarantee that it maps to the next
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195 // available quantum in the mapped/compact space.
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196 int IntFeatureMap::ComputeOffsetFeature(int index_feature, int dir) const {
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197 INT_FEATURE_STRUCT f = InverseIndexFeature(index_feature);
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198 ASSERT_HOST(IndexFeature(f) == index_feature);
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199 if (dir == 0) {
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200 return index_feature;
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201 } else if (dir == 1 || dir == -1) {
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202 FCOORD feature_dir = FeatureDirection(f.Theta);
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203 FCOORD rotation90(0.0f, 1.0f);
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204 feature_dir.rotate(rotation90);
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205 // Find the nearest existing feature.
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206 for (int m = 1; m < kMaxOffsetDist; ++m) {
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207 double x_pos = f.X + feature_dir.x() * (m * dir);
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208 double y_pos = f.Y + feature_dir.y() * (m * dir);
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209 int x = IntCastRounded(x_pos);
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210 int y = IntCastRounded(y_pos);
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211 if (x >= 0 && x <= UINT8_MAX && y >= 0 && y <= UINT8_MAX) {
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212 INT_FEATURE_STRUCT offset_f;
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213 offset_f.X = x;
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214 offset_f.Y = y;
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215 offset_f.Theta = f.Theta;
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216 int offset_index = IndexFeature(offset_f);
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217 if (offset_index != index_feature && offset_index >= 0) {
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218 return offset_index; // Found one.
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219 }
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220 } else {
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221 return -1; // Hit the edge of feature space.
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222 }
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223 }
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224 } else if (dir == 2 || dir == -2) {
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225 // Find the nearest existing index_feature.
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226 for (int m = 1; m < kMaxOffsetDist; ++m) {
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227 int theta = f.Theta + m * dir / 2;
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228 INT_FEATURE_STRUCT offset_f;
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229 offset_f.X = f.X;
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230 offset_f.Y = f.Y;
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231 offset_f.Theta = Modulo(theta, 256);
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232 int offset_index = IndexFeature(offset_f);
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233 if (offset_index != index_feature && offset_index >= 0) {
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234 return offset_index; // Found one.
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235 }
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236 }
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237 }
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238 return -1; // Nothing within the max distance.
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239 }
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240
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241 } // namespace tesseract.