Mercurial > hgrepos > Python2 > PyMuPDF

annotate mupdf-source/thirdparty/tesseract/src/wordrec/params_model.cpp @ 21:2f43e400f144

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Provide an "all" target to build both the sdist and the wheel
author Franz Glasner <fzglas.hg@dom66.de>
date Fri, 19 Sep 2025 10:28:53 +0200
parents b50eed0cc0ef
children
Ignore whitespace changes - Everywhere: Within whitespace: At end of lines:
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2
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1 ///////////////////////////////////////////////////////////////////////
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2 // File: params_model.cpp
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3 // Description: Trained language model parameters.
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4 // Author: David Eger
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5 //
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6 // (C) Copyright 2012, Google Inc.
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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 #include "params_model.h"
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21 #include <cctype>
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22 #include <cmath>
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23 #include <cstdio>
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25 #include "bitvector.h"
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26 #include "helpers.h" // for ClipToRange
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27 #include "serialis.h" // for TFile
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28 #include "tprintf.h"
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30 namespace tesseract {
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32 // Scale factor to apply to params model scores.
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33 static const float kScoreScaleFactor = 100.0f;
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34 // Minimum cost result to return.
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35 static const float kMinFinalCost = 0.001f;
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36 // Maximum cost result to return.
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37 static const float kMaxFinalCost = 100.0f;
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38
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39 void ParamsModel::Print() {
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40 for (int p = 0; p < PTRAIN_NUM_PASSES; ++p) {
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41 tprintf("ParamsModel for pass %d lang %s\n", p, lang_.c_str());
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42 for (unsigned i = 0; i < weights_vec_[p].size(); ++i) {
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43 tprintf("%s = %g\n", kParamsTrainingFeatureTypeName[i], weights_vec_[p][i]);
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44 }
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45 }
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46 }
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48 void ParamsModel::Copy(const ParamsModel &other_model) {
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49 for (int p = 0; p < PTRAIN_NUM_PASSES; ++p) {
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50 weights_vec_[p] = other_model.weights_for_pass(static_cast<PassEnum>(p));
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51 }
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52 }
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53
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54 // Given a (modifiable) line, parse out a key / value pair.
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55 // Return true on success.
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56 bool ParamsModel::ParseLine(char *line, char **key, float *val) {
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57 if (line[0] == '#') {
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58 return false;
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59 }
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60 int end_of_key = 0;
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61 while (line[end_of_key] && !(isascii(line[end_of_key]) && isspace(line[end_of_key]))) {
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62 end_of_key++;
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63 }
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64 if (!line[end_of_key]) {
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65 tprintf("ParamsModel::Incomplete line %s\n", line);
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66 return false;
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67 }
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68 line[end_of_key++] = 0;
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69 *key = line;
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70 if (sscanf(line + end_of_key, " %f", val) != 1) {
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71 return false;
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72 }
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73 return true;
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74 }
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75
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76 // Applies params model weights to the given features.
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77 // Assumes that features is an array of size PTRAIN_NUM_FEATURE_TYPES.
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78 // The cost is set to a number that can be multiplied by the outline length,
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79 // as with the old ratings scheme. This enables words of different length
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80 // and combinations of words to be compared meaningfully.
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81 float ParamsModel::ComputeCost(const float features[]) const {
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82 float unnorm_score = 0.0;
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83 for (int f = 0; f < PTRAIN_NUM_FEATURE_TYPES; ++f) {
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84 unnorm_score += weights_vec_[pass_][f] * features[f];
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85 }
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86 return ClipToRange(-unnorm_score / kScoreScaleFactor, kMinFinalCost, kMaxFinalCost);
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87 }
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88
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89 bool ParamsModel::Equivalent(const ParamsModel &that) const {
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90 float epsilon = 0.0001f;
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91 for (int p = 0; p < PTRAIN_NUM_PASSES; ++p) {
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92 if (weights_vec_[p].size() != that.weights_vec_[p].size()) {
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93 return false;
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94 }
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95 for (unsigned i = 0; i < weights_vec_[p].size(); i++) {
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96 if (weights_vec_[p][i] != that.weights_vec_[p][i] &&
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97 std::fabs(weights_vec_[p][i] - that.weights_vec_[p][i]) > epsilon) {
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98 return false;
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99 }
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100 }
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101 }
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102 return true;
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103 }
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104
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105 bool ParamsModel::LoadFromFp(const char *lang, TFile *fp) {
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106 const int kMaxLineSize = 100;
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107 char line[kMaxLineSize];
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108 BitVector present;
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109 present.Init(PTRAIN_NUM_FEATURE_TYPES);
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110 lang_ = lang;
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111 // Load weights for passes with adaption on.
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112 std::vector<float> &weights = weights_vec_[pass_];
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113 weights.clear();
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114 weights.resize(PTRAIN_NUM_FEATURE_TYPES, 0.0f);
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115
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116 while (fp->FGets(line, kMaxLineSize) != nullptr) {
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117 char *key = nullptr;
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118 float value;
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119 if (!ParseLine(line, &key, &value)) {
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120 continue;
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121 }
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122 int idx = ParamsTrainingFeatureByName(key);
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123 if (idx < 0) {
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124 tprintf("ParamsModel::Unknown parameter %s\n", key);
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125 continue;
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126 }
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127 if (!present[idx]) {
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128 present.SetValue(idx, true);
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129 }
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130 weights[idx] = value;
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131 }
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132 bool complete = (present.NumSetBits() == PTRAIN_NUM_FEATURE_TYPES);
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133 if (!complete) {
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134 for (int i = 0; i < PTRAIN_NUM_FEATURE_TYPES; i++) {
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135 if (!present[i]) {
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136 tprintf("Missing field %s.\n", kParamsTrainingFeatureTypeName[i]);
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137 }
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138 }
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139 lang_ = "";
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140 weights.clear();
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141 }
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142 return complete;
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143 }
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144
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145 bool ParamsModel::SaveToFile(const char *full_path) const {
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146 const std::vector<float> &weights = weights_vec_[pass_];
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147 if (weights.size() != PTRAIN_NUM_FEATURE_TYPES) {
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148 tprintf("Refusing to save ParamsModel that has not been initialized.\n");
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149 return false;
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150 }
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151 FILE *fp = fopen(full_path, "wb");
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152 if (!fp) {
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153 tprintf("Could not open %s for writing.\n", full_path);
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parents:
diff changeset
154 return false;
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parents:
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155 }
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
156 bool all_good = true;
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parents:
diff changeset
157 for (unsigned i = 0; i < weights.size(); i++) {
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
158 if (fprintf(fp, "%s %f\n", kParamsTrainingFeatureTypeName[i], weights[i]) < 0) {
b50eed0cc0ef ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
159 all_good = false;
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
160 }
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parents:
diff changeset
161 }
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
162 fclose(fp);
b50eed0cc0ef ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
163 return all_good;
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parents:
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164 }
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165
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diff changeset
166 } // namespace tesseract