Mercurial > hgrepos > Python2 > PyMuPDF
annotate mupdf-source/thirdparty/tesseract/src/classify/float2int.cpp @ 2:b50eed0cc0ef upstream
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| author | Franz Glasner <fzglas.hg@dom66.de> |
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| date | Mon, 15 Sep 2025 11:43:07 +0200 |
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1 /****************************************************************************** |
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2 ** Filename: float2int.cpp |
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3 ** Purpose: Routines for converting float features to int features |
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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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17 |
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18 #include "float2int.h" |
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19 |
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20 #include "classify.h" |
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21 #include "mfoutline.h" |
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22 #include "normmatch.h" |
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23 #include "picofeat.h" |
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24 |
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25 #include "helpers.h" |
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26 |
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27 #define MAX_INT_CHAR_NORM (INT_CHAR_NORM_RANGE - 1) |
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28 |
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29 /*---------------------------------------------------------------------------*/ |
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30 namespace tesseract { |
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31 |
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32 /** |
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33 * For each class in the unicharset, clears the corresponding |
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34 * entry in char_norm_array. char_norm_array is indexed by unichar_id. |
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35 * |
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36 * Globals: |
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37 * - none |
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38 * |
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39 * @param char_norm_array array to be cleared |
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40 */ |
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41 void Classify::ClearCharNormArray(uint8_t *char_norm_array) { |
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42 memset(char_norm_array, 0, sizeof(*char_norm_array) * unicharset.size()); |
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43 } /* ClearCharNormArray */ |
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44 |
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45 /*---------------------------------------------------------------------------*/ |
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46 /** |
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47 * For each class in unicharset, computes the match between |
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48 * norm_feature and the normalization protos for that class. |
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49 * Converts this number to the range from 0 - 255 and stores it |
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50 * into char_norm_array. CharNormArray is indexed by unichar_id. |
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51 * |
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52 * Globals: |
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53 * - PreTrainedTemplates current set of built-in templates |
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54 * |
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55 * @param norm_feature character normalization feature |
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56 * @param[out] char_norm_array place to put results of size unicharset.size() |
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57 */ |
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58 void Classify::ComputeIntCharNormArray(const FEATURE_STRUCT &norm_feature, |
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59 uint8_t *char_norm_array) { |
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60 for (unsigned i = 0; i < unicharset.size(); i++) { |
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61 if (i < PreTrainedTemplates->NumClasses) { |
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62 int norm_adjust = |
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63 static_cast<int>(INT_CHAR_NORM_RANGE * ComputeNormMatch(i, norm_feature, false)); |
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64 char_norm_array[i] = ClipToRange(norm_adjust, 0, MAX_INT_CHAR_NORM); |
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65 } else { |
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66 // Classes with no templates (eg. ambigs & ligatures) default |
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67 // to worst match. |
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68 char_norm_array[i] = MAX_INT_CHAR_NORM; |
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69 } |
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70 } |
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71 } /* ComputeIntCharNormArray */ |
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72 |
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73 /*---------------------------------------------------------------------------*/ |
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74 /** |
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75 * This routine converts each floating point pico-feature |
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76 * in Features into integer format and saves it into |
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77 * IntFeatures. |
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78 * |
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79 * Globals: |
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80 * - none |
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81 * |
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82 * @param Features floating point pico-features to be converted |
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83 * @param[out] IntFeatures array to put converted features into |
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84 */ |
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85 void Classify::ComputeIntFeatures(FEATURE_SET Features, INT_FEATURE_ARRAY IntFeatures) { |
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86 float YShift; |
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87 |
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88 if (classify_norm_method == baseline) { |
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89 YShift = BASELINE_Y_SHIFT; |
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90 } else { |
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91 YShift = Y_SHIFT; |
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92 } |
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93 |
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94 for (int Fid = 0; Fid < Features->NumFeatures; Fid++) { |
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95 FEATURE Feature = Features->Features[Fid]; |
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96 |
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97 IntFeatures[Fid].X = Bucket8For(Feature->Params[PicoFeatX], X_SHIFT, INT_FEAT_RANGE); |
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98 IntFeatures[Fid].Y = Bucket8For(Feature->Params[PicoFeatY], YShift, INT_FEAT_RANGE); |
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99 IntFeatures[Fid].Theta = |
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100 CircBucketFor(Feature->Params[PicoFeatDir], ANGLE_SHIFT, INT_FEAT_RANGE); |
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101 IntFeatures[Fid].CP_misses = 0; |
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102 } |
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103 } /* ComputeIntFeatures */ |
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104 |
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105 } // namespace tesseract |
