annotate mupdf-source/thirdparty/zxing-cpp/core/src/RegressionLine.h @ 22:d77477b4e151

Let _int_rc() also handle (i.e. ignore) a local version suffix
author Franz Glasner <fzglas.hg@dom66.de>
date Fri, 19 Sep 2025 12:05:57 +0200
parents b50eed0cc0ef
children
Ignore whitespace changes - Everywhere: Within whitespace: At end of lines:
rev   line source
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1 /*
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2 * Copyright 2020 Axel Waggershauser
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3 */
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4 // SPDX-License-Identifier: Apache-2.0
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6 #pragma once
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8 #include "Point.h"
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9 #include "ZXAlgorithms.h"
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11 #include <algorithm>
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12 #include <cmath>
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13 #include <vector>
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15 #ifdef PRINT_DEBUG
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16 #include <cstdio>
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17 #endif
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19 namespace ZXing {
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21 class RegressionLine
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22 {
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23 protected:
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24 std::vector<PointF> _points;
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25 PointF _directionInward;
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26 PointF::value_t a = NAN, b = NAN, c = NAN;
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28 friend PointF intersect(const RegressionLine& l1, const RegressionLine& l2);
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30 template<typename T> bool evaluate(const PointT<T>* begin, const PointT<T>* end)
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31 {
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32 auto mean = Reduce(begin, end, PointF()) / std::distance(begin, end);
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33 PointF::value_t sumXX = 0, sumYY = 0, sumXY = 0;
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34 for (auto p = begin; p != end; ++p) {
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35 auto d = *p - mean;
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36 sumXX += d.x * d.x;
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37 sumYY += d.y * d.y;
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38 sumXY += d.x * d.y;
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39 }
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40 if (sumYY >= sumXX) {
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41 auto l = std::sqrt(sumYY * sumYY + sumXY * sumXY);
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42 a = +sumYY / l;
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43 b = -sumXY / l;
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44 } else {
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45 auto l = std::sqrt(sumXX * sumXX + sumXY * sumXY);
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46 a = +sumXY / l;
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47 b = -sumXX / l;
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48 }
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49 if (dot(_directionInward, normal()) < 0) {
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50 a = -a;
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51 b = -b;
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52 }
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53 c = dot(normal(), mean); // (a*mean.x + b*mean.y);
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54 return dot(_directionInward, normal()) > 0.5f; // angle between original and new direction is at most 60 degree
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55 }
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57 template <typename T> bool evaluate(const std::vector<PointT<T>>& points) { return evaluate(&points.front(), &points.back() + 1); }
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59 template <typename T> static auto distance(PointT<T> a, PointT<T> b) { return ZXing::distance(a, b); }
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61 public:
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62 RegressionLine() { _points.reserve(16); } // arbitrary but plausible start size (tiny performance improvement)
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64 template<typename T> RegressionLine(PointT<T> a, PointT<T> b)
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65 {
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66 evaluate(std::vector{a, b});
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67 }
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69 template<typename T> RegressionLine(const PointT<T>* b, const PointT<T>* e)
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70 {
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71 evaluate(b, e);
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72 }
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74 const auto& points() const { return _points; }
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75 int length() const { return _points.size() >= 2 ? int(distance(_points.front(), _points.back())) : 0; }
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76 bool isValid() const { return !std::isnan(a); }
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77 PointF normal() const { return isValid() ? PointF(a, b) : _directionInward; }
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78 auto signedDistance(PointF p) const { return dot(normal(), p) - c; }
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79 template <typename T> auto distance(PointT<T> p) const { return std::abs(signedDistance(PointF(p))); }
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80 PointF project(PointF p) const { return p - signedDistance(p) * normal(); }
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81 PointF centroid() const { return Reduce(_points) / _points.size(); }
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82
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83 void reset()
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84 {
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85 _points.clear();
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86 _directionInward = {};
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87 a = b = c = NAN;
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88 }
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90 void add(PointF p) {
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91 assert(_directionInward != PointF());
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92 _points.push_back(p);
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93 if (_points.size() == 1)
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94 c = dot(normal(), p);
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95 }
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96
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97 void pop_back() { _points.pop_back(); }
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98 void pop_front()
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99 {
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100 std::rotate(_points.begin(), _points.begin() + 1, _points.end());
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101 _points.pop_back();
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102 }
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103
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104 void setDirectionInward(PointF d) { _directionInward = normalized(d); }
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105
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106 bool evaluate(double maxSignedDist = -1, bool updatePoints = false)
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107 {
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108 bool ret = evaluate(_points);
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109 if (maxSignedDist > 0) {
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110 auto points = _points;
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111 while (true) {
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112 auto old_points_size = points.size();
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113 // remove points that are further 'inside' than maxSignedDist or further 'outside' than 2 x maxSignedDist
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114 #ifdef __cpp_lib_erase_if
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115 std::erase_if(points, [this, maxSignedDist](auto p) {
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116 auto sd = this->signedDistance(p);
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117 return sd > maxSignedDist || sd < -2 * maxSignedDist;
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118 });
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119 #else
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120 auto end = std::remove_if(points.begin(), points.end(), [this, maxSignedDist](auto p) {
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121 auto sd = this->signedDistance(p);
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122 return sd > maxSignedDist || sd < -2 * maxSignedDist;
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123 });
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124 points.erase(end, points.end());
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125 #endif
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126 // if we threw away too many points, something is off with the line to begin with
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127 if (points.size() < old_points_size / 2 || points.size() < 2)
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128 return false;
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129 if (old_points_size == points.size())
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130 break;
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131 #ifdef PRINT_DEBUG
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132 printf("removed %zu points -> %zu remaining\n", old_points_size - points.size(), points.size());
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133 fflush(stdout);
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134 #endif
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135 ret = evaluate(points);
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136 }
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137
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138 if (updatePoints)
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139 _points = std::move(points);
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140 }
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141 return ret;
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142 }
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143
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144 bool isHighRes() const
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145 {
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146 PointF min = _points.front(), max = _points.front();
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147 for (auto p : _points) {
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148 UpdateMinMax(min.x, max.x, p.x);
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149 UpdateMinMax(min.y, max.y, p.y);
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150 }
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parents:
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151 auto diff = max - min;
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parents:
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152 auto len = maxAbsComponent(diff);
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153 auto steps = std::min(std::abs(diff.x), std::abs(diff.y));
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154 // due to aliasing we get bad extrapolations if the line is short and too close to vertical/horizontal
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155 return steps > 2 || len > 50;
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156 }
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157 };
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158
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parents:
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159 inline PointF intersect(const RegressionLine& l1, const RegressionLine& l2)
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160 {
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parents:
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161 assert(l1.isValid() && l2.isValid());
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parents:
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162 auto d = l1.a * l2.b - l1.b * l2.a;
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parents:
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163 auto x = (l1.c * l2.b - l1.b * l2.c) / d;
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parents:
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164 auto y = (l1.a * l2.c - l1.c * l2.a) / d;
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parents:
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165 return {x, y};
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166 }
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parents:
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167
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168 } // ZXing
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
169