mirror of
https://github.com/tesseract-ocr/tesseract.git
synced 2024-11-27 20:59:36 +08:00
aa62157687
git-svn-id: https://tesseract-ocr.googlecode.com/svn/trunk@1014 d0cd1f9f-072b-0410-8dd7-cf729c803f20
152 lines
3.8 KiB
C++
152 lines
3.8 KiB
C++
/**********************************************************************
|
|
* 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 "fxdefs.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 {
|
|
|
|
/**
|
|
* @name program_editup
|
|
*
|
|
* Initialize all the things in the program that need to be initialized.
|
|
* init_permute determines whether to initialize the permute functions
|
|
* and Dawg models.
|
|
*/
|
|
void Wordrec::program_editup(const char *textbase,
|
|
bool init_classifier,
|
|
bool init_dict) {
|
|
if (textbase != NULL) imagefile = textbase;
|
|
InitFeatureDefs(&feature_defs_);
|
|
SetupExtractors(&feature_defs_);
|
|
InitAdaptiveClassifier(init_classifier);
|
|
if (init_dict) getDict().Load(Dict::GlobalDawgCache());
|
|
pass2_ok_split = chop_ok_split;
|
|
}
|
|
|
|
/**
|
|
* @name end_recog
|
|
*
|
|
* Cleanup and exit the recog program.
|
|
*/
|
|
int Wordrec::end_recog() {
|
|
program_editdown (0);
|
|
|
|
return (0);
|
|
}
|
|
|
|
|
|
/**
|
|
* @name program_editdown
|
|
*
|
|
* This function holds any nessessary post processing for the Wise Owl
|
|
* program.
|
|
*/
|
|
void Wordrec::program_editdown(inT32 elasped_time) {
|
|
EndAdaptiveClassifier();
|
|
getDict().End();
|
|
}
|
|
|
|
|
|
/**
|
|
* @name set_pass1
|
|
*
|
|
* Get ready to do some pass 1 stuff.
|
|
*/
|
|
void Wordrec::set_pass1() {
|
|
chop_ok_split.set_value(70.0);
|
|
language_model_->getParamsModel().SetPass(ParamsModel::PTRAIN_PASS1);
|
|
SettupPass1();
|
|
}
|
|
|
|
|
|
/**
|
|
* @name set_pass2
|
|
*
|
|
* Get ready to do some pass 2 stuff.
|
|
*/
|
|
void Wordrec::set_pass2() {
|
|
chop_ok_split.set_value(pass2_ok_split);
|
|
language_model_->getParamsModel().SetPass(ParamsModel::PTRAIN_PASS2);
|
|
SettupPass2();
|
|
}
|
|
|
|
|
|
/**
|
|
* @name cc_recog
|
|
*
|
|
* Recognize a word.
|
|
*/
|
|
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());
|
|
}
|
|
|
|
|
|
/**
|
|
* @name dict_word()
|
|
*
|
|
* Test the dictionaries, returning NO_PERM (0) if not found, or one
|
|
* of the PermuterType values if found, according to the dictionary.
|
|
*/
|
|
int Wordrec::dict_word(const WERD_CHOICE &word) {
|
|
return getDict().valid_word(word);
|
|
}
|
|
|
|
/**
|
|
* @name call_matcher
|
|
*
|
|
* Called from Tess with a blob in tess form.
|
|
* The blob may need rotating to the correct orientation for classification.
|
|
*/
|
|
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
|