tesseract::SampleIterator Class Reference

#include <sampleiterator.h>

Public Member Functions
	SampleIterator ()
	~SampleIterator ()
void	Clear ()
void	Init (const IndexMapBiDi *charset_map, const ShapeTable *shape_table, bool randomize, TrainingSampleSet *sample_set)
void	Begin ()
bool	AtEnd () const
const TrainingSample &	GetSample () const
TrainingSample *	MutableSample () const
int	GlobalSampleIndex () const
int	GetCompactClassID () const
int	GetSparseClassID () const
void	Next ()
int	CompactCharsetSize () const
int	SparseCharsetSize () const
const IndexMapBiDi &	charset_map () const
const ShapeTable *	shape_table () const
const TrainingSampleSet *	sample_set () const
void	MapSampleFeatures (const IntFeatureMap &feature_map)
int	UniformSamples ()
double	NormalizeSamples ()

Detailed Description

Definition at line 92 of file sampleiterator.h.

Constructor & Destructor Documentation

tesseract::SampleIterator::SampleIterator

(

)

Definition at line 27 of file sampleiterator.cpp.

  : charset_map_(NULL),
    shape_table_(NULL),
    sample_set_(NULL),
    randomize_(false),
    owned_shape_table_(NULL) {
  num_shapes_ = 0;
  Begin();
}

tesseract::SampleIterator::~SampleIterator

(

)

Definition at line 37 of file sampleiterator.cpp.

                                {
  Clear();
}

Member Function Documentation

bool tesseract::SampleIterator::AtEnd

(

)

const

Definition at line 99 of file sampleiterator.cpp.

                                 {
  return shape_index_ >= num_shapes_;
}

void tesseract::SampleIterator::Begin

(

)

Definition at line 87 of file sampleiterator.cpp.

                           {
  shape_index_ = -1;
  shape_char_index_ = 0;
  num_shape_chars_ = 0;
  shape_font_index_ = 0;
  num_shape_fonts_ = 0;
  sample_index_ = 0;
  num_samples_ = 0;
  // Find the first indexable sample.
  Next();
}

const IndexMapBiDi& tesseract::SampleIterator::charset_map ( ) const

inline

Definition at line 137 of file sampleiterator.h.

                                          {
    return *charset_map_;
  }

void tesseract::SampleIterator::Clear

(

)

Definition at line 41 of file sampleiterator.cpp.

                           {
  delete owned_shape_table_;
  owned_shape_table_ = NULL;
}

int tesseract::SampleIterator::CompactCharsetSize

(

)

const

Definition at line 196 of file sampleiterator.cpp.

                                             {
  return charset_map_ != NULL ? charset_map_->CompactSize()
                              : SparseCharsetSize();
}

int tesseract::SampleIterator::GetCompactClassID

(

)

const

Definition at line 142 of file sampleiterator.cpp.

                                            {
  return charset_map_ != NULL ? charset_map_->SparseToCompact(shape_index_)
                              : GetSparseClassID();
}

const TrainingSample & tesseract::SampleIterator::GetSample

(

)

const

Definition at line 103 of file sampleiterator.cpp.

                                                      {
  if (shape_table_ != NULL) {
    const UnicharAndFonts* shape_entry = GetShapeEntry();
    int char_id = shape_entry->unichar_id;
    int font_id = shape_entry->font_ids[shape_font_index_];
    return *sample_set_->GetSample(font_id, char_id, sample_index_);
  } else {
    return *sample_set_->GetSample(shape_index_);
  }
}

int tesseract::SampleIterator::GetSparseClassID

(

)

const

Definition at line 150 of file sampleiterator.cpp.

                                           {
  return shape_table_ != NULL ? shape_index_ : GetSample().class_id();
}

int tesseract::SampleIterator::GlobalSampleIndex

(

)

const

Definition at line 127 of file sampleiterator.cpp.

                                            {
  if (shape_table_ != NULL) {
    const UnicharAndFonts* shape_entry = GetShapeEntry();
    int char_id = shape_entry->unichar_id;
    int font_id = shape_entry->font_ids[shape_font_index_];
    return sample_set_->GlobalSampleIndex(font_id, char_id, sample_index_);
  } else {
    return shape_index_;
  }
}

void tesseract::SampleIterator::Init	(	const IndexMapBiDi *	charset_map,
		const ShapeTable *	shape_table,
		bool	randomize,
		TrainingSampleSet *	sample_set
	)

Definition at line 47 of file sampleiterator.cpp.

                                                         {
  Clear();
  charset_map_ = charset_map;
  shape_table_ = shape_table;
  sample_set_ = sample_set;
  randomize_ = randomize;
  if (shape_table_ == NULL && charset_map_ != NULL) {
    // The caller wishes to iterate by class. The easiest way to do this
    // is to create a dummy shape_table_ that we will own.
    int num_fonts = sample_set_->NumFonts();
    owned_shape_table_ = new ShapeTable(sample_set_->unicharset());
    int charsetsize = sample_set_->unicharset().size();
    for (int c = 0; c < charsetsize; ++c) {
      // We always add a shape for each character to keep the index in sync
      // with the unichar_id.
      int shape_id = owned_shape_table_->AddShape(c, 0);
      for (int f = 1; f < num_fonts; ++f) {
        if (sample_set_->NumClassSamples(f, c, true) > 0) {
          owned_shape_table_->AddToShape(shape_id, c, f);
        }
      }
    }
    shape_table_ = owned_shape_table_;
  }
  if (shape_table_ != NULL) {
    num_shapes_ = shape_table_->NumShapes();
  } else {
    num_shapes_ = randomize ? sample_set_->num_samples()
                            : sample_set_->num_raw_samples();
  }
  Begin();
}

void tesseract::SampleIterator::MapSampleFeatures

(

const IntFeatureMap &

feature_map

)

Definition at line 211 of file sampleiterator.cpp.

                                                                       {
  for (Begin(); !AtEnd(); Next()) {
    TrainingSample* sample = MutableSample();
    sample->MapFeatures(feature_map);
  }
}

TrainingSample * tesseract::SampleIterator::MutableSample

(

)

const

Definition at line 114 of file sampleiterator.cpp.

                                                    {
  if (shape_table_ != NULL) {
    const UnicharAndFonts* shape_entry = GetShapeEntry();
    int char_id = shape_entry->unichar_id;
    int font_id = shape_entry->font_ids[shape_font_index_];
    return sample_set_->MutableSample(font_id, char_id, sample_index_);
  } else {
    return sample_set_->mutable_sample(shape_index_);
  }
}

void tesseract::SampleIterator::Next

(

)

Definition at line 156 of file sampleiterator.cpp.

                          {
  if (shape_table_ != NULL) {
    // Next sample in this class/font combination.
    ++sample_index_;
    if (sample_index_ < num_samples_)
      return;
    // Next font in this class in this shape.
    sample_index_ = 0;
    do {
      ++shape_font_index_;
      if (shape_font_index_ >= num_shape_fonts_) {
        // Next unichar in this shape.
        shape_font_index_ = 0;
        ++shape_char_index_;
        if (shape_char_index_ >= num_shape_chars_) {
          // Find the next shape that is mapped in the charset_map_.
          shape_char_index_ = 0;
          do {
            ++shape_index_;
          } while (shape_index_ < num_shapes_ &&
                   charset_map_ != NULL &&
                   charset_map_->SparseToCompact(shape_index_) < 0);
          if (shape_index_ >= num_shapes_)
            return;  // The end.
          num_shape_chars_ = shape_table_->GetShape(shape_index_).size();
        }
      }
      const UnicharAndFonts* shape_entry = GetShapeEntry();
      num_shape_fonts_ = shape_entry->font_ids.size();
      int char_id = shape_entry->unichar_id;
      int font_id = shape_entry->font_ids[shape_font_index_];
      num_samples_ = sample_set_->NumClassSamples(font_id, char_id, randomize_);
    } while (num_samples_ == 0);
  } else {
    // We are just iterating over the samples.
    ++shape_index_;
  }
}

double tesseract::SampleIterator::NormalizeSamples

(

)

Definition at line 233 of file sampleiterator.cpp.

                                        {
  double total_weight = 0.0;
  int sample_count = 0;
  for (Begin(); !AtEnd(); Next()) {
    const TrainingSample& sample = GetSample();
    total_weight += sample.weight();
    ++sample_count;
  }
  // Normalize samples.
  double min_assigned_sample_weight = 1.0;
  if (total_weight > 0.0) {
    for (Begin(); !AtEnd(); Next()) {
      TrainingSample* sample = MutableSample();
      double weight = sample->weight() / total_weight;
      if (weight < min_assigned_sample_weight)
        min_assigned_sample_weight = weight;
      sample->set_weight(weight);
    }
  }
  return min_assigned_sample_weight;
}

const TrainingSampleSet* tesseract::SampleIterator::sample_set ( ) const

inline

Definition at line 144 of file sampleiterator.h.

                                              {
    return sample_set_;
  }

const ShapeTable* tesseract::SampleIterator::shape_table ( ) const

inline

Definition at line 140 of file sampleiterator.h.

                                        {
    return shape_table_;
  }

int tesseract::SampleIterator::SparseCharsetSize

(

)

const

Definition at line 202 of file sampleiterator.cpp.

                                            {
  return charset_map_ != NULL
      ? charset_map_->SparseSize()
      : (shape_table_ != NULL ? shape_table_->NumShapes()
                              : sample_set_->charsetsize());
}

int tesseract::SampleIterator::UniformSamples

(

)

Definition at line 220 of file sampleiterator.cpp.

                                   {
  int num_good_samples = 0;
  for (Begin(); !AtEnd(); Next()) {
    TrainingSample* sample = MutableSample();
    sample->set_weight(1.0);
    ++num_good_samples;
  }
  NormalizeSamples();
  return num_good_samples;
}

---

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

• classify/sampleiterator.h
• classify/sampleiterator.cpp