Mercurial > hgrepos > Python2 > PyMuPDF

annotate mupdf-source/thirdparty/tesseract/src/ccstruct/statistc.h @ 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 /**********************************************************************
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2 * File: statistc.h (Formerly stats.h)
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3 * Description: Class description for STATS class.
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4 * Author: Ray Smith
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5 *
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6 * (C) Copyright 1991, Hewlett-Packard Ltd.
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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_CCSTRUCT_STATISTC_H_
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20 #define TESSERACT_CCSTRUCT_STATISTC_H_
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22 #include <cstdio>
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23 #include "kdpair.h"
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24 #include "scrollview.h"
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26 namespace tesseract {
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28 // Simple histogram-based statistics for integer values in a known
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29 // range, such that the range is small compared to the number of samples.
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30 class TESS_API STATS {
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31 public:
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32 // The histogram buckets are in the range
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33 // [min_bucket_value, max_bucket_value].
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34 // Any data under min_bucket value is silently mapped to min_bucket_value,
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35 // and likewise, any data over max_bucket_value is silently mapped to
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36 // max_bucket_value.
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37 // In the internal array, min_bucket_value maps to 0 and
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38 // 1 + max_bucket_value - min_bucket_value to the array size.
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39 STATS(int32_t min_bucket_value, int32_t max_bucket_value);
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40 STATS() = default; // empty for arrays
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42 ~STATS();
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44 // (Re)Sets the range and clears the counts.
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45 // See the constructor for info on max and min values.
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46 bool set_range(int32_t min_bucket_value, int32_t max_bucket_value);
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48 void clear(); // empty buckets
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50 void add(int32_t value, int32_t count);
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52 // "Accessors" return various statistics on the data.
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53 int32_t mode() const; // get mode of samples
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54 double mean() const; // get mean of samples
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55 double sd() const; // standard deviation
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56 // Returns the fractile value such that frac fraction (in [0,1]) of samples
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57 // has a value less than the return value.
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58 double ile(double frac) const;
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59 // Returns the minimum used entry in the histogram (ie the minimum of the
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60 // data, NOT the minimum of the supplied range, nor is it an index.)
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61 // Would normally be called min(), but that is a reserved word in VC++.
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62 int32_t min_bucket() const; // Find min
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63 // Returns the maximum used entry in the histogram (ie the maximum of the
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64 // data, NOT the maximum of the supplied range, nor is it an index.)
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65 int32_t max_bucket() const; // Find max
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66 // Finds a more useful estimate of median than ile(0.5).
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67 // Overcomes a problem with ile() - if the samples are, for example,
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68 // 6,6,13,14 ile(0.5) return 7.0 - when a more useful value would be midway
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69 // between 6 and 13 = 9.5
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70 double median() const; // get median of samples
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71 // Returns the count of the given value.
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72 int32_t pile_count(int32_t value) const {
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73 if (buckets_ == nullptr) {
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74 return 0;
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75 }
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76 if (value <= rangemin_) {
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77 return buckets_[0];
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78 }
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79 if (value >= rangemax_) {
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80 return buckets_[rangemax_ - rangemin_];
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81 }
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82 return buckets_[value - rangemin_];
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83 }
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84 // Returns the total count of all buckets.
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85 int32_t get_total() const {
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86 return total_count_; // total of all piles
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87 }
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88 // Returns true if x is a local min.
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89 bool local_min(int32_t x) const;
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90
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91 // Apply a triangular smoothing filter to the stats.
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92 // This makes the modes a bit more useful.
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93 // The factor gives the height of the triangle, i.e. the weight of the
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94 // centre.
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95 void smooth(int32_t factor);
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96
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97 // Cluster the samples into max_cluster clusters.
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98 // Each call runs one iteration. The array of clusters must be
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99 // max_clusters+1 in size as cluster 0 is used to indicate which samples
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100 // have been used.
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101 // The return value is the current number of clusters.
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102 int32_t cluster(float lower, // thresholds
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103 float upper,
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104 float multiple, // distance threshold
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105 int32_t max_clusters, // max no to make
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106 STATS *clusters); // array of clusters
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107
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108 // Finds (at most) the top max_modes modes, well actually the whole peak
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109 // around each mode, returning them in the given modes vector as a <mean of
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110 // peak, total count of peak> pair in order of decreasing total count. Since
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111 // the mean is the key and the count the data in the pair, a single call to
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112 // sort on the output will re-sort by increasing mean of peak if that is more
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113 // useful than decreasing total count. Returns the actual number of modes
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114 // found.
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115 int top_n_modes(int max_modes, std::vector<KDPairInc<float, int>> &modes) const;
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116
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117 // Prints a summary and table of the histogram.
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118 void print() const;
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119 // Prints summary stats only of the histogram.
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120 void print_summary() const;
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121
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122 #ifndef GRAPHICS_DISABLED
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123 // Draws the histogram as a series of rectangles.
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124 void plot(ScrollView *window, // window to draw in
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125 float xorigin, // origin of histo
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126 float yorigin, // gram
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127 float xscale, // size of one unit
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128 float yscale, // size of one uint
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129 ScrollView::Color colour) const; // colour to draw in
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130
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131 // Draws a line graph of the histogram.
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132 void plotline(ScrollView *window, // window to draw in
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133 float xorigin, // origin of histo
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134 float yorigin, // gram
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135 float xscale, // size of one unit
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136 float yscale, // size of one uint
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137 ScrollView::Color colour) const; // colour to draw in
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138 #endif // !GRAPHICS_DISABLED
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139
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140 private:
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141 int32_t rangemin_ = 0; // min of range
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142 int32_t rangemax_ = 0; // max of range
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143 int32_t total_count_ = 0; // no of samples
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144 int32_t *buckets_ = nullptr; // array of cells
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145 };
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146
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147 } // namespace tesseract
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148
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149 #endif // TESSERACT_CCSTRUCT_STATISTC_H_