Mercurial > hgrepos > Python2 > PyMuPDF

annotate mupdf-source/thirdparty/tesseract/src/training/mergenf.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
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1 /******************************************************************************
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2 ** Filename: MergeNF.c
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3 ** Purpose: Program for merging similar nano-feature protos
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4 ** Author: Dan Johnson
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5 **
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6 ** (c) Copyright Hewlett-Packard Company, 1988.
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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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18 #define _USE_MATH_DEFINES // for M_PI
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19 #include <algorithm>
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20 #include <cfloat> // for FLT_MAX
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21 #include <cmath> // for M_PI
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22 #include <cstdio>
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23 #include <cstring>
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25 #include "cluster.h"
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26 #include "clusttool.h"
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27 #include "featdefs.h"
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28 #include "intproto.h"
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29 #include "mergenf.h"
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30 #include "ocrfeatures.h"
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31 #include "oldlist.h"
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32 #include "params.h"
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33 #include "protos.h"
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35 using namespace tesseract;
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37 /*-------------------once in subfeat---------------------------------*/
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38 static double_VAR(training_angle_match_scale, 1.0, "Angle Match Scale ...");
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40 static double_VAR(training_similarity_midpoint, 0.0075, "Similarity Midpoint ...");
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42 static double_VAR(training_similarity_curl, 2.0, "Similarity Curl ...");
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44 /*-----------------------------once in
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45 * fasttrain----------------------------------*/
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46 static double_VAR(training_tangent_bbox_pad, 0.5, "Tangent bounding box pad ...");
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48 static double_VAR(training_orthogonal_bbox_pad, 2.5, "Orthogonal bounding box pad ...");
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50 static double_VAR(training_angle_pad, 45.0, "Angle pad ...");
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52 /**
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53 * Compare protos p1 and p2 and return an estimate of the
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54 * worst evidence rating that will result for any part of p1
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55 * that is compared to p2. In other words, if p1 were broken
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56 * into pico-features and each pico-feature was matched to p2,
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57 * what is the worst evidence rating that will be achieved for
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58 * any pico-feature.
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59 *
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60 * @param p1, p2 protos to be compared
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61 *
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62 * Globals: none
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63 *
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64 * @return Worst possible result when matching p1 to p2.
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65 */
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66 float CompareProtos(PROTO_STRUCT *p1, PROTO_STRUCT *p2) {
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67 float WorstEvidence = WORST_EVIDENCE;
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68 float Evidence;
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69 float Angle, Length;
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71 /* if p1 and p2 are not close in length, don't let them match */
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72 Length = std::fabs(p1->Length - p2->Length);
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73 if (Length > MAX_LENGTH_MISMATCH) {
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74 return (0.0);
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75 }
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77 /* create a dummy pico-feature to be used for comparisons */
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78 auto Feature = new FEATURE_STRUCT(&PicoFeatDesc);
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79 Feature->Params[PicoFeatDir] = p1->Angle;
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80
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81 /* convert angle to radians */
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82 Angle = p1->Angle * 2.0 * M_PI;
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83
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84 /* find distance from center of p1 to 1/2 picofeat from end */
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85 Length = p1->Length / 2.0 - GetPicoFeatureLength() / 2.0;
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86 if (Length < 0) {
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87 Length = 0;
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88 }
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89
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90 /* set the dummy pico-feature at one end of p1 and match it to p2 */
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91 Feature->Params[PicoFeatX] = p1->X + std::cos(Angle) * Length;
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92 Feature->Params[PicoFeatY] = p1->Y + std::sin(Angle) * Length;
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93 if (DummyFastMatch(Feature, p2)) {
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94 Evidence = SubfeatureEvidence(Feature, p2);
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95 if (Evidence < WorstEvidence) {
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96 WorstEvidence = Evidence;
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97 }
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98 } else {
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
99 delete Feature;
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
100 return 0.0;
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
101 }
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parents:
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102
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
103 /* set the dummy pico-feature at the other end of p1 and match it to p2 */
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
104 Feature->Params[PicoFeatX] = p1->X - std::cos(Angle) * Length;
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
105 Feature->Params[PicoFeatY] = p1->Y - std::sin(Angle) * Length;
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
106 if (DummyFastMatch(Feature, p2)) {
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
107 Evidence = SubfeatureEvidence(Feature, p2);
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
108 if (Evidence < WorstEvidence) {
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parents:
diff changeset
109 WorstEvidence = Evidence;
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parents:
diff changeset
110 }
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
111 } else {
b50eed0cc0ef ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
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parents:
diff changeset
112 delete Feature;
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
113 return 0.0;
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
114 }
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parents:
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115
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parents:
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116 delete Feature;
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
117 return (WorstEvidence);
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parents:
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118
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parents:
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119 } /* CompareProtos */
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parents:
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120
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
121 /**
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parents:
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122 * This routine computes a proto which is the weighted
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Franz Glasner <fzglas.hg@dom66.de>
parents:
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123 * average of protos p1 and p2. The new proto is returned
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parents:
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124 * in MergedProto.
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parents:
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125 *
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parents:
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126 * @param p1, p2 protos to be merged
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parents:
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127 * @param w1, w2 weight of each proto
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parents:
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128 * @param MergedProto place to put resulting merged proto
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parents:
diff changeset
129 */
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Franz Glasner <fzglas.hg@dom66.de>
parents:
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130 void ComputeMergedProto(PROTO_STRUCT *p1, PROTO_STRUCT *p2, float w1, float w2, PROTO_STRUCT *MergedProto) {
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parents:
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131 float TotalWeight;
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parents:
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132
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parents:
diff changeset
133 TotalWeight = w1 + w2;
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
134 w1 /= TotalWeight;
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
135 w2 /= TotalWeight;
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parents:
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136
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
137 MergedProto->X = p1->X * w1 + p2->X * w2;
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
138 MergedProto->Y = p1->Y * w1 + p2->Y * w2;
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Franz Glasner <fzglas.hg@dom66.de>
parents:
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139 MergedProto->Length = p1->Length * w1 + p2->Length * w2;
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
140 MergedProto->Angle = p1->Angle * w1 + p2->Angle * w2;
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
141 FillABC(MergedProto);
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
142 } /* ComputeMergedProto */
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parents:
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143
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
144 /**
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parents:
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145 * This routine searches through all of the prototypes in
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Franz Glasner <fzglas.hg@dom66.de>
parents:
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146 * Class and returns the id of the proto which would provide
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parents:
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147 * the best approximation of Prototype. If no close
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parents:
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148 * approximation can be found, NO_PROTO is returned.
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parents:
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149 *
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
150 * @param Class class to search for matching old proto in
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
151 * @param NumMerged # of protos merged into each proto of Class
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
152 * @param Prototype new proto to find match for
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
153 *
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
154 * Globals: none
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
155 *
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
156 * @return Id of closest proto in Class or NO_PROTO.
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
157 */
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
158 int FindClosestExistingProto(CLASS_TYPE Class, int NumMerged[], PROTOTYPE *Prototype) {
b50eed0cc0ef ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
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parents:
diff changeset
159 PROTO_STRUCT NewProto;
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parents:
diff changeset
160 PROTO_STRUCT MergedProto;
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
161 int Pid;
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parents:
diff changeset
162 PROTO_STRUCT *Proto;
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
163 int BestProto;
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
164 float BestMatch;
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
165 float Match, OldMatch, NewMatch;
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parents:
diff changeset
166
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parents:
diff changeset
167 MakeNewFromOld(&NewProto, Prototype);
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parents:
diff changeset
168
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parents:
diff changeset
169 BestProto = NO_PROTO;
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
170 BestMatch = WORST_MATCH_ALLOWED;
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
171 for (Pid = 0; Pid < Class->NumProtos; Pid++) {
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
172 Proto = ProtoIn(Class, Pid);
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
173 ComputeMergedProto(Proto, &NewProto, static_cast<float>(NumMerged[Pid]), 1.0, &MergedProto);
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
174 OldMatch = CompareProtos(Proto, &MergedProto);
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
175 NewMatch = CompareProtos(&NewProto, &MergedProto);
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
176 Match = std::min(OldMatch, NewMatch);
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
177 if (Match > BestMatch) {
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
178 BestProto = Pid;
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parents:
diff changeset
179 BestMatch = Match;
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parents:
diff changeset
180 }
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
181 }
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
182 return BestProto;
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
183 } /* FindClosestExistingProto */
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parents:
diff changeset
184
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
185 /**
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
186 * This fills in the fields of the New proto based on the
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
187 * fields of the Old proto.
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
188 *
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
189 * @param New new proto to be filled in
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
190 * @param Old old proto to be converted
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
191 *
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
192 * Globals: none
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
193 */
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
194 void MakeNewFromOld(PROTO_STRUCT *New, PROTOTYPE *Old) {
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
195 New->X = CenterX(Old->Mean);
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
196 New->Y = CenterY(Old->Mean);
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
197 New->Length = LengthOf(Old->Mean);
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
198 New->Angle = OrientationOf(Old->Mean);
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
199 FillABC(New);
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200 } /* MakeNewFromOld */
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201
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202 /*-------------------once in subfeat---------------------------------*/
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203
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204 /**
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205 * @name SubfeatureEvidence
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206 *
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207 * Compare a feature to a prototype. Print the result.
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208 */
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209 float SubfeatureEvidence(FEATURE Feature, PROTO_STRUCT *Proto) {
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210 float Distance;
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211 float Dangle;
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212
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213 Dangle = Proto->Angle - Feature->Params[PicoFeatDir];
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214 if (Dangle < -0.5) {
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215 Dangle += 1.0;
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216 }
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217 if (Dangle > 0.5) {
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218 Dangle -= 1.0;
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219 }
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220 Dangle *= training_angle_match_scale;
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221
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222 Distance =
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223 Proto->A * Feature->Params[PicoFeatX] + Proto->B * Feature->Params[PicoFeatY] + Proto->C;
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224
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225 return (EvidenceOf(Distance * Distance + Dangle * Dangle));
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226 }
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227
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228 /**
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229 * @name EvidenceOf
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230 *
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231 * Return the new type of evidence number corresponding to this
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232 * distance value. This number is no longer based on the chi squared
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233 * approximation. The equation that represents the transform is:
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234 * 1 / (1 + (sim / midpoint) ^ curl)
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235 */
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236 double EvidenceOf(double Similarity) {
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237 Similarity /= training_similarity_midpoint;
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238
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239 if (training_similarity_curl == 3) {
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240 Similarity = Similarity * Similarity * Similarity;
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241 } else if (training_similarity_curl == 2) {
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242 Similarity = Similarity * Similarity;
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243 } else {
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244 Similarity = pow(Similarity, training_similarity_curl);
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245 }
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246
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247 return (1.0 / (1.0 + Similarity));
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248 }
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249
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250 /**
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251 * This routine returns true if Feature would be matched
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252 * by a fast match table built from Proto.
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253 *
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254 * @param Feature feature to be "fast matched" to proto
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255 * @param Proto proto being "fast matched" against
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256 *
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257 * Globals:
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258 * - training_tangent_bbox_pad bounding box pad tangent to proto
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259 * - training_orthogonal_bbox_pad bounding box pad orthogonal to proto
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260 *
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261 * @return true if feature could match Proto.
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262 */
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263 bool DummyFastMatch(FEATURE Feature, PROTO_STRUCT *Proto) {
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264 FRECT BoundingBox;
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265 float MaxAngleError;
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266 float AngleError;
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267
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268 MaxAngleError = training_angle_pad / 360.0;
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269 AngleError = std::fabs(Proto->Angle - Feature->Params[PicoFeatDir]);
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270 if (AngleError > 0.5) {
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271 AngleError = 1.0 - AngleError;
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272 }
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273
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274 if (AngleError > MaxAngleError) {
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275 return false;
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276 }
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277
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278 ComputePaddedBoundingBox(Proto, training_tangent_bbox_pad * GetPicoFeatureLength(),
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279 training_orthogonal_bbox_pad * GetPicoFeatureLength(), &BoundingBox);
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280
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281 return PointInside(&BoundingBox, Feature->Params[PicoFeatX], Feature->Params[PicoFeatY]);
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282 } /* DummyFastMatch */
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283
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284 /**
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285 * This routine computes a bounding box that encloses the
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286 * specified proto along with some padding. The
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287 * amount of padding is specified as separate distances
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288 * in the tangential and orthogonal directions.
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289 *
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290 * @param Proto proto to compute bounding box for
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291 * @param TangentPad amount of pad to add in direction of segment
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292 * @param OrthogonalPad amount of pad to add orthogonal to segment
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293 * @param[out] BoundingBox place to put results
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294 */
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295 void ComputePaddedBoundingBox(PROTO_STRUCT *Proto, float TangentPad, float OrthogonalPad,
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296 FRECT *BoundingBox) {
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297 float Length = Proto->Length / 2.0 + TangentPad;
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diff changeset
298 float Angle = Proto->Angle * 2.0 * M_PI;
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299 float CosOfAngle = fabs(std::cos(Angle));
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diff changeset
300 float SinOfAngle = fabs(std::sin(Angle));
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301
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302 float Pad = std::max(CosOfAngle * Length, SinOfAngle * OrthogonalPad);
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303 BoundingBox->MinX = Proto->X - Pad;
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304 BoundingBox->MaxX = Proto->X + Pad;
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305
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306 Pad = std::max(SinOfAngle * Length, CosOfAngle * OrthogonalPad);
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307 BoundingBox->MinY = Proto->Y - Pad;
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308 BoundingBox->MaxY = Proto->Y + Pad;
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309
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310 } /* ComputePaddedBoundingBox */
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311
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312 /**
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313 * Return true if point (X,Y) is inside of Rectangle.
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314 *
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315 * Globals: none
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316 *
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317 * @return true if point (X,Y) is inside of Rectangle.
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318 */
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319 bool PointInside(FRECT *Rectangle, float X, float Y) {
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320 return (X >= Rectangle->MinX) && (X <= Rectangle->MaxX) && (Y >= Rectangle->MinY) &&
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321 (Y <= Rectangle->MaxY);
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322 } /* PointInside */