tesseract::ConvNetCharClassifier Class Reference

#include <conv_net_classifier.h>

Inheritance diagram for tesseract::ConvNetCharClassifier:

Public Member Functions
	ConvNetCharClassifier (CharSet *char_set, TuningParams *params, FeatureBase *feat_extract)
virtual	~ConvNetCharClassifier ()
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 48 of file conv_net_classifier.h.

Constructor & Destructor Documentation

ConvNetCharClassifier()

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

Definition at line 38 of file conv_net_classifier.cpp.

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

~ConvNetCharClassifier()

tesseract::ConvNetCharClassifier::~ConvNetCharClassifier ( )

virtual

Definition at line 47 of file conv_net_classifier.cpp.

                                              {
  if (char_net_ != NULL) {
    delete char_net_;
    char_net_ = NULL;
  }

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

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

Member Function Documentation

CharCost()

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

virtual

return the cost of being a char

Implements tesseract::CharClassifier.

Definition at line 176 of file conv_net_classifier.cpp.

                                                       {
  if (RunNets(char_samp) == false) {
    return 0;
  }
  return CubeUtils::Prob2Cost(1.0f - net_output_[0]);
}

Classify()

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

virtual

classifies a charsamp and returns an alternate list of chars sorted by char costs

Implements tesseract::CharClassifier.

Definition at line 187 of file conv_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);

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

  return alt_list;
}

SetLearnParam()

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

virtual

A secondary function needed for training. Allows the trainer to set the value of any train-time parameter. This function is currently not implemented. TODO(ahmadab): implement end-2-end training

Implements tesseract::CharClassifier.

Definition at line 78 of file conv_net_classifier.cpp.

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

SetNet()

void tesseract::ConvNetCharClassifier::SetNet

(

tesseract::NeuralNet *

char_net

)

Set an external net (for training purposes)

Definition at line 209 of file conv_net_classifier.cpp.

                                                               {
  if (char_net_ != NULL) {
    delete char_net_;
    char_net_ = NULL;
  }
  char_net_ = char_net;
}

Train()

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

virtual

The main training function. Given a sample and a class ID the classifier updates its parameters according to its learning algorithm. This function is currently not implemented. TODO(ahmadab): implement end-2-end training

Implements tesseract::CharClassifier.

Definition at line 69 of file conv_net_classifier.cpp.

                                                                  {
  return false;
}

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

• cube/conv_net_classifier.h
• cube/conv_net_classifier.cpp