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annotate mupdf-source/thirdparty/tesseract/src/training/common/intfeaturedist.h @ 46:7ee69f120f19 default tip

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>>>>> tag v1.26.5+1 for changeset b74429b0f5c4
author Franz Glasner <fzglas.hg@dom66.de>
date Sat, 11 Oct 2025 17:17:30 +0200
parents b50eed0cc0ef
children
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1 // Copyright 2011 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: intfeaturedist.h
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5 // Description: Fast set-difference-based feature distance calculator.
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6 //
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7 // Licensed under the Apache License, Version 2.0 (the "License");
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8 // you may not use this file except in compliance with the License.
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9 // You may obtain a copy of the License at
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10 // http://www.apache.org/licenses/LICENSE-2.0
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11 // Unless required by applicable law or agreed to in writing, software
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12 // distributed under the License is distributed on an "AS IS" BASIS,
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13 // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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14 // See the License for the specific language governing permissions and
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15 // limitations under the License.
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16 //
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17 ///////////////////////////////////////////////////////////////////////
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19 #ifndef TESSERACT_CLASSIFY_INTFEATUREDIST_H_
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20 #define TESSERACT_CLASSIFY_INTFEATUREDIST_H_
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22 #include <vector>
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24 namespace tesseract {
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26 class IntFeatureMap;
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28 // Feature distance calculator designed to provide a fast distance calculation
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29 // based on set difference between a given feature set and many other feature
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30 // sets in turn.
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31 // Representation of a feature set as an array of bools that are sparsely
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32 // true, and companion arrays that allow fast feature set distance
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33 // calculations with allowance of offsets in position.
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34 // Init is expensive, so for greatest efficiency, to re-initialize for a new
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35 // feature set, use Set(..., false) on the SAME feature set as was used to
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36 // setup with Set(..., true), to return to its initialized state before
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37 // reuse with Set(..., true) on a new feature set.
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38 class IntFeatureDist {
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39 public:
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40 IntFeatureDist();
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41 ~IntFeatureDist();
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43 // Initialize the bool array to the given size of feature space.
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44 // The feature_map is just borrowed, and must exist for the entire
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45 // lifetime of the IntFeatureDist.
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46 void Init(const IntFeatureMap *feature_map);
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48 // Setup the map for the given indexed_features that have been indexed by
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49 // feature_map. After use, use Set(..., false) to reset to the initial state
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50 // as this is faster than calling Init for sparse spaces.
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51 void Set(const std::vector<int> &indexed_features, int canonical_count, bool value);
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53 // Compute the distance between the given feature vector and the last
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54 // Set feature vector.
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55 double FeatureDistance(const std::vector<int> &features) const;
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56 double DebugFeatureDistance(const std::vector<int> &features) const;
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58 private:
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59 // Clear all data.
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60 void Clear();
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62 // Size of the indexed feature space.
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63 int size_;
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64 // Total weight of features currently stored in the maps.
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65 double total_feature_weight_;
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66 // Pointer to IntFeatureMap given at Init to find offset features.
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67 const IntFeatureMap *feature_map_;
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68 // Array of bools indicating presence of a feature.
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69 bool *features_;
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70 // Array indicating the presence of a feature offset by one unit.
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71 bool *features_delta_one_;
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72 // Array indicating the presence of a feature offset by two units.
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73 bool *features_delta_two_;
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74 };
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75
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76 } // namespace tesseract
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78 #endif // TESSERACT_CLASSIFY_INTFEATUREDIST_H_