tesseract::CTC Class Reference

#include <ctc.h>

Static Public Member Functions
static void	NormalizeProbs (NetworkIO *probs)
static bool	ComputeCTCTargets (const GenericVector< int > &truth_labels, int null_char, const GENERIC_2D_ARRAY< float > &outputs, NetworkIO *targets)

Detailed Description

Definition at line 30 of file ctc.h.

Member Function Documentation

ComputeCTCTargets()

bool tesseract::CTC::ComputeCTCTargets ( const GenericVector< int > &  truth_labels, int  null_char, const GENERIC_2D_ARRAY< float > &  outputs, NetworkIO *  targets  )

static

Definition at line 54 of file ctc.cpp.

                                                {
  std::unique_ptr<CTC> ctc(new CTC(labels, null_char, outputs));
  if (!ctc->ComputeLabelLimits()) {
    return false;  // Not enough time.
  }
  // Generate simple targets purely from the truth labels by spreading them
  // evenly over time.
  GENERIC_2D_ARRAY<float> simple_targets;
  ctc->ComputeSimpleTargets(&simple_targets);
  // Add the simple targets as a starter bias to the network outputs.
  float bias_fraction = ctc->CalculateBiasFraction();
  simple_targets *= bias_fraction;
  ctc->outputs_ += simple_targets;
  NormalizeProbs(&ctc->outputs_);
  // Run regular CTC on the biased outputs.
  // Run forward and backward
  GENERIC_2D_ARRAY<double> log_alphas, log_betas;
  ctc->Forward(&log_alphas);
  ctc->Backward(&log_betas);
  // Normalize and come out of log space with a clipped softmax over time.
  log_alphas += log_betas;
  ctc->NormalizeSequence(&log_alphas);
  ctc->LabelsToClasses(log_alphas, targets);
  NormalizeProbs(targets);
  return true;
}

NormalizeProbs()

static void tesseract::CTC::NormalizeProbs ( NetworkIO *  probs )

inlinestatic

Definition at line 36 of file ctc.h.

                                               {
    NormalizeProbs(probs->mutable_float_array());
  }

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

• /tesseract/src/training/ctc.h
• /tesseract/src/training/ctc.cpp