tesseract::ParamsModel Class Reference

#include <params_model.h>

Public Types
enum	PassEnum { PTRAIN_PASS1 , PTRAIN_PASS2 , PTRAIN_NUM_PASSES }

Public Member Functions
	ParamsModel ()
	ParamsModel (const char *lang, const std::vector< float > &weights)
bool	Initialized ()
void	Print ()
void	Clear ()
void	Copy (const ParamsModel &other_model)
float	ComputeCost (const float features[]) const
bool	Equivalent (const ParamsModel &that) const
bool	SaveToFile (const char *full_path) const
bool	LoadFromFp (const char *lang, TFile *fp)
const std::vector< float > &	weights () const
const std::vector< float > &	weights_for_pass (PassEnum pass) const
void	SetPass (PassEnum pass)

Detailed Description

Definition at line 30 of file params_model.h.

Member Enumeration Documentation

PassEnum

enum tesseract::ParamsModel::PassEnum

Enumerator
PTRAIN_PASS1
PTRAIN_PASS2
PTRAIN_NUM_PASSES

Definition at line 33 of file params_model.h.

                {
    PTRAIN_PASS1,
    PTRAIN_PASS2,
 
    PTRAIN_NUM_PASSES
  };

Constructor & Destructor Documentation

ParamsModel() [1/2]

tesseract::ParamsModel::ParamsModel ( )

inline

Definition at line 40 of file params_model.h.

: pass_(PTRAIN_PASS1) {}

ParamsModel() [2/2]

tesseract::ParamsModel::ParamsModel ( const char *  lang, const std::vector< float > &  weights  )

inline

Definition at line 41 of file params_model.h.

      : lang_(lang), pass_(PTRAIN_PASS1) {
    weights_vec_[pass_] = weights;
  }

Member Function Documentation

Clear()

void tesseract::ParamsModel::Clear ( )

inline

Definition at line 51 of file params_model.h.

               {
    for (auto &p : weights_vec_) {
      p.clear();
    }
  }

ComputeCost()

float tesseract::ParamsModel::ComputeCost

(

const float

features[]

)

const

Definition at line 81 of file params_model.cpp.

                                                           {
  float unnorm_score = 0.0;
  for (int f = 0; f < PTRAIN_NUM_FEATURE_TYPES; ++f) {
    unnorm_score += weights_vec_[pass_][f] * features[f];
  }
  return ClipToRange(-unnorm_score / kScoreScaleFactor, kMinFinalCost, kMaxFinalCost);
}

Copy()

void tesseract::ParamsModel::Copy

(

const ParamsModel &

other_model

)

Definition at line 48 of file params_model.cpp.

                                                     {
  for (int p = 0; p < PTRAIN_NUM_PASSES; ++p) {
    weights_vec_[p] = other_model.weights_for_pass(static_cast<PassEnum>(p));
  }
}

Equivalent()

bool tesseract::ParamsModel::Equivalent

(

const ParamsModel &

that

)

const

Definition at line 89 of file params_model.cpp.

                                                          {
  float epsilon = 0.0001f;
  for (int p = 0; p < PTRAIN_NUM_PASSES; ++p) {
    if (weights_vec_[p].size() != that.weights_vec_[p].size()) {
      return false;
    }
    for (unsigned i = 0; i < weights_vec_[p].size(); i++) {
      if (weights_vec_[p][i] != that.weights_vec_[p][i] &&
          std::fabs(weights_vec_[p][i] - that.weights_vec_[p][i]) > epsilon) {
        return false;
      }
    }
  }
  return true;
}

Initialized()

bool tesseract::ParamsModel::Initialized ( )

inline

Definition at line 45 of file params_model.h.

                            {
    return weights_vec_[pass_].size() == PTRAIN_NUM_FEATURE_TYPES;
  }

LoadFromFp()

bool tesseract::ParamsModel::LoadFromFp	(	const char *	lang,
		TFile *	fp
	)

Definition at line 105 of file params_model.cpp.

                                                        {
  const int kMaxLineSize = 100;
  char line[kMaxLineSize];
  BitVector present;
  present.Init(PTRAIN_NUM_FEATURE_TYPES);
  lang_ = lang;
  // Load weights for passes with adaption on.
  std::vector<float> &weights = weights_vec_[pass_];
  weights.clear();
  weights.resize(PTRAIN_NUM_FEATURE_TYPES, 0.0f);
 
  while (fp->FGets(line, kMaxLineSize) != nullptr) {
    char *key = nullptr;
    float value;
    if (!ParseLine(line, &key, &value)) {
      continue;
    }
    int idx = ParamsTrainingFeatureByName(key);
    if (idx < 0) {
      tprintf("ParamsModel::Unknown parameter %s\n", key);
      continue;
    }
    if (!present[idx]) {
      present.SetValue(idx, true);
    }
    weights[idx] = value;
  }
  bool complete = (present.NumSetBits() == PTRAIN_NUM_FEATURE_TYPES);
  if (!complete) {
    for (int i = 0; i < PTRAIN_NUM_FEATURE_TYPES; i++) {
      if (!present[i]) {
        tprintf("Missing field %s.\n", kParamsTrainingFeatureTypeName[i]);
      }
    }
    lang_ = "";
    weights.clear();
  }
  return complete;
}

Print()

void tesseract::ParamsModel::Print

(

)

Definition at line 39 of file params_model.cpp.

                        {
  for (int p = 0; p < PTRAIN_NUM_PASSES; ++p) {
    tprintf("ParamsModel for pass %d lang %s\n", p, lang_.c_str());
    for (unsigned i = 0; i < weights_vec_[p].size(); ++i) {
      tprintf("%s = %g\n", kParamsTrainingFeatureTypeName[i], weights_vec_[p][i]);
    }
  }
}

SaveToFile()

bool tesseract::ParamsModel::SaveToFile

(

const char *

full_path

)

const

Definition at line 145 of file params_model.cpp.

                                                        {
  const std::vector<float> &weights = weights_vec_[pass_];
  if (weights.size() != PTRAIN_NUM_FEATURE_TYPES) {
    tprintf("Refusing to save ParamsModel that has not been initialized.\n");
    return false;
  }
  FILE *fp = fopen(full_path, "wb");
  if (!fp) {
    tprintf("Could not open %s for writing.\n", full_path);
    return false;
  }
  bool all_good = true;
  for (unsigned i = 0; i < weights.size(); i++) {
    if (fprintf(fp, "%s %f\n", kParamsTrainingFeatureTypeName[i], weights[i]) < 0) {
      all_good = false;
    }
  }
  fclose(fp);
  return all_good;
}

SetPass()

void tesseract::ParamsModel::SetPass ( PassEnum  pass )

inline

Definition at line 75 of file params_model.h.

                              {
    pass_ = pass;
  }

weights()

const std::vector< float > & tesseract::ParamsModel::weights ( ) const

inline

Definition at line 69 of file params_model.h.

                                          {
    return weights_vec_[pass_];
  }

weights_for_pass()

const std::vector< float > & tesseract::ParamsModel::weights_for_pass ( PassEnum  pass ) const

inline

Definition at line 72 of file params_model.h.

                                                                {
    return weights_vec_[pass];
  }

---

The documentation for this class was generated from the following files:

• /media/home/debian/src/github/tesseract-ocr/tesseract/src/wordrec/params_model.h
• /media/home/debian/src/github/tesseract-ocr/tesseract/src/wordrec/params_model.cpp