tesseract::HybridNeuralNetCharClassifier Class Reference

#include <hybrid_neural_net_classifier.h>

Inheritance diagram for tesseract::HybridNeuralNetCharClassifier:

Public Member Functions
	HybridNeuralNetCharClassifier (CharSet *char_set, TuningParams *params, FeatureBase *feat_extract)
virtual	~HybridNeuralNetCharClassifier ()
virtual bool	Train (CharSamp *char_samp, int ClassID)
virtual bool	SetLearnParam (char *var_name, float val)
void	SetNet (tesseract::NeuralNet *net)
virtual CharAltList *	Classify (CharSamp *char_samp)
virtual int	CharCost (CharSamp *char_samp)
Public Member Functions inherited from tesseract::CharClassifier
	CharClassifier (CharSet *char_set, TuningParams *params, FeatureBase *feat_extract)
virtual	~CharClassifier ()
FeatureBase *	FeatureExtractor ()
bool	CaseSensitive () const
void	SetCaseSensitive (bool case_sensitive)

Additional Inherited Members
Protected Attributes inherited from tesseract::CharClassifier
FeatureBase *	feat_extract_
CharSet *	char_set_
TuningParams *	params_
int **	fold_sets_
int *	fold_set_len_
int	fold_set_cnt_
bool	init_
bool	case_sensitive_

Detailed Description

Definition at line 41 of file hybrid_neural_net_classifier.h.

Constructor & Destructor Documentation

tesseract::HybridNeuralNetCharClassifier::HybridNeuralNetCharClassifier	(	CharSet *	char_set,
		TuningParams *	params,
		FeatureBase *	feat_extract
	)

Definition at line 39 of file hybrid_neural_net_classifier.cpp.

    : CharClassifier(char_set, params, feat_extract) {
  net_input_ = NULL;
  net_output_ = NULL;
}

tesseract::HybridNeuralNetCharClassifier::~HybridNeuralNetCharClassifier ( )

virtual

Definition at line 48 of file hybrid_neural_net_classifier.cpp.

                                                              {
  for (int net_idx = 0; net_idx < nets_.size(); net_idx++) {
    if (nets_[net_idx] != NULL) {
      delete nets_[net_idx];
    }
  }
  nets_.clear();

  if (net_input_ != NULL) {
    delete []net_input_;
    net_input_ = NULL;
  }

  if (net_output_ != NULL) {
    delete []net_output_;
    net_output_ = NULL;
  }
}

Member Function Documentation

int tesseract::HybridNeuralNetCharClassifier::CharCost ( CharSamp *  char_samp )

virtual

Implements tesseract::CharClassifier.

Definition at line 177 of file hybrid_neural_net_classifier.cpp.

                                                               {
  // it is by design that a character cost is equal to zero
  // when no nets are present. This is the case during training.
  if (RunNets(char_samp) == false) {
    return 0;
  }

  return CubeUtils::Prob2Cost(1.0f - net_output_[0]);
}

CharAltList * tesseract::HybridNeuralNetCharClassifier::Classify ( CharSamp *  char_samp )

virtual

Implements tesseract::CharClassifier.

Definition at line 189 of file hybrid_neural_net_classifier.cpp.

                                                                        {
  // run the needed nets
  if (RunNets(char_samp) == false) {
    return NULL;
  }

  int class_cnt = char_set_->ClassCount();

  // create an altlist
  CharAltList *alt_list = new CharAltList(char_set_, class_cnt);
  if (alt_list == NULL) {
    return NULL;
  }

  for (int out = 1; out < class_cnt; out++) {
    int cost = CubeUtils::Prob2Cost(net_output_[out]);
    alt_list->Insert(out, cost);
  }

  return alt_list;
}

bool tesseract::HybridNeuralNetCharClassifier::SetLearnParam ( char *  var_name, float  val  )

virtual

Implements tesseract::CharClassifier.

Definition at line 77 of file hybrid_neural_net_classifier.cpp.

                                                                           {
  // TODO(ahmadab): implementation of parameter initializing.
  return false;
}

void tesseract::HybridNeuralNetCharClassifier::SetNet

(

tesseract::NeuralNet *

net

)

Definition at line 212 of file hybrid_neural_net_classifier.cpp.

                                                                       {
}

bool tesseract::HybridNeuralNetCharClassifier::Train ( CharSamp *  char_samp, int  ClassID  )

virtual

Implements tesseract::CharClassifier.

Definition at line 70 of file hybrid_neural_net_classifier.cpp.

                                                                          {
  return false;
}

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

• cube/hybrid_neural_net_classifier.h
• cube/hybrid_neural_net_classifier.cpp