Mercurial > hgrepos > Python2 > PyMuPDF

annotate mupdf-source/thirdparty/tesseract/src/wordrec/params_model.h @ 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 // File: params_model.h
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3 // Description: Trained feature serialization for language parameter training.
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4 // Author: David Eger
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5 //
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6 // (C) Copyright 2011, 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 #ifndef TESSERACT_WORDREC_PARAMS_MODEL_H_
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20 #define TESSERACT_WORDREC_PARAMS_MODEL_H_
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22 #include <tesseract/export.h> // for TESS_API
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23 #include "params_training_featdef.h" // for PTRAIN_NUM_FEATURE_TYPES
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25 namespace tesseract {
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27 class TFile;
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29 // Represents the learned weights for a given language.
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30 class TESS_API ParamsModel {
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31 public:
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32 // Enum for expressing OCR pass.
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33 enum PassEnum {
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34 PTRAIN_PASS1,
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35 PTRAIN_PASS2,
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37 PTRAIN_NUM_PASSES
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38 };
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40 ParamsModel() : pass_(PTRAIN_PASS1) {}
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41 ParamsModel(const char *lang, const std::vector<float> &weights)
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42 : lang_(lang), pass_(PTRAIN_PASS1) {
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43 weights_vec_[pass_] = weights;
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44 }
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45 inline bool Initialized() {
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46 return weights_vec_[pass_].size() == PTRAIN_NUM_FEATURE_TYPES;
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47 }
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48 // Prints out feature weights.
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49 void Print();
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50 // Clears weights for all passes.
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51 void Clear() {
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52 for (auto &p : weights_vec_) {
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53 p.clear();
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54 }
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55 }
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56 // Copies the weights of the given params model.
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57 void Copy(const ParamsModel &other_model);
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58 // Applies params model weights to the given features.
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59 // Assumes that features is an array of size PTRAIN_NUM_FEATURE_TYPES.
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60 float ComputeCost(const float features[]) const;
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61 bool Equivalent(const ParamsModel &that) const;
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62
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63 // Returns true on success.
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64 bool SaveToFile(const char *full_path) const;
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66 // Returns true on success.
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67 bool LoadFromFp(const char *lang, TFile *fp);
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69 const std::vector<float> &weights() const {
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70 return weights_vec_[pass_];
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71 }
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72 const std::vector<float> &weights_for_pass(PassEnum pass) const {
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73 return weights_vec_[pass];
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74 }
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75 void SetPass(PassEnum pass) {
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76 pass_ = pass;
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77 }
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78
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79 private:
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80 bool ParseLine(char *line, char **key, float *val);
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81
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82 std::string lang_;
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83 // Set to the current pass type and used to determine which set of weights
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84 // should be used for ComputeCost() and other functions.
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85 PassEnum pass_;
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86 // Several sets of weights for various OCR passes (e.g. pass1 with adaption,
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87 // pass2 without adaption, etc).
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88 std::vector<float> weights_vec_[PTRAIN_NUM_PASSES];
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89 };
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91 } // namespace tesseract
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92
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93 #endif // TESSERACT_WORDREC_PARAMS_MODEL_H_