tface.cpp

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/**********************************************************************
 * File:        tface.c  (Formerly tface.c)
 * Description: C side of the Tess/tessedit C/C++ interface.
 * Author:              Ray Smith
 * Created:             Mon Apr 27 11:57:06 BST 1992
 *
 * (C) Copyright 1992, Hewlett-Packard Ltd.
 ** Licensed under the Apache License, Version 2.0 (the "License");
 ** you may not use this file except in compliance with the License.
 ** You may obtain a copy of the License at
 ** http://www.apache.org/licenses/LICENSE-2.0
 ** Unless required by applicable law or agreed to in writing, software
 ** distributed under the License is distributed on an "AS IS" BASIS,
 ** WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 ** See the License for the specific language governing permissions and
 ** limitations under the License.
 *
 **********************************************************************/

#include "callcpp.h"
#include "chop.h"
#include "chopper.h"
#include "danerror.h"
#include "globals.h"
#include "gradechop.h"
#include "pageres.h"
#include "wordrec.h"
#include "featdefs.h"
#include "params_model.h"

#include <math.h>
#ifdef __UNIX__
#include <unistd.h>
#endif


namespace tesseract {

void Wordrec::program_editup(const char *textbase,
                             bool init_classifier,
                             bool init_dict) {
  if (textbase != NULL) imagefile = textbase;
  InitFeatureDefs(&feature_defs_);
  InitAdaptiveClassifier(init_classifier);
  if (init_dict) getDict().Load(Dict::GlobalDawgCache());
  pass2_ok_split = chop_ok_split;
}

int Wordrec::end_recog() {
  program_editdown (0);

  return (0);
}


void Wordrec::program_editdown(inT32 elasped_time) {
  EndAdaptiveClassifier();
  getDict().End();
}


void Wordrec::set_pass1() {
  chop_ok_split.set_value(70.0);
  language_model_->getParamsModel().SetPass(ParamsModel::PTRAIN_PASS1);
  SettupPass1();
}


void Wordrec::set_pass2() {
  chop_ok_split.set_value(pass2_ok_split);
  language_model_->getParamsModel().SetPass(ParamsModel::PTRAIN_PASS2);
  SettupPass2();
}


void Wordrec::cc_recog(WERD_RES *word) {
  getDict().reset_hyphen_vars(word->word->flag(W_EOL));
  chop_word_main(word);
  word->DebugWordChoices(getDict().stopper_debug_level >= 1,
                         getDict().word_to_debug.string());
  ASSERT_HOST(word->StatesAllValid());
}


int Wordrec::dict_word(const WERD_CHOICE &word) {
  return getDict().valid_word(word);
}

BLOB_CHOICE_LIST *Wordrec::call_matcher(TBLOB *tessblob) {
  // Rotate the blob for classification if necessary.
  TBLOB* rotated_blob = tessblob->ClassifyNormalizeIfNeeded();
  if (rotated_blob == NULL) {
    rotated_blob = tessblob;
  }
  BLOB_CHOICE_LIST *ratings = new BLOB_CHOICE_LIST();  // matcher result
  AdaptiveClassifier(rotated_blob, ratings);
  if (rotated_blob != tessblob) {
    delete rotated_blob;
  }
  return ratings;
}


}  // namespace tesseract