mirror of
https://github.com/tesseract-ocr/tesseract.git
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58d9593094
Signed-off-by: Stefan Weil <sw@weilnetz.de>
154 lines
3.8 KiB
C++
154 lines
3.8 KiB
C++
/**********************************************************************
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* File: tface.cpp (Formerly tface.c)
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* Description: C side of the Tess/tessedit C/C++ interface.
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* Author: Ray Smith
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* Created: Mon Apr 27 11:57:06 BST 1992
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*
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* (C) Copyright 1992, Hewlett-Packard Ltd.
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** Licensed under the Apache License, Version 2.0 (the "License");
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** you may not use this file except in compliance with the License.
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** You may obtain a copy of the License at
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** http://www.apache.org/licenses/LICENSE-2.0
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** Unless required by applicable law or agreed to in writing, software
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** distributed under the License is distributed on an "AS IS" BASIS,
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** WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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** See the License for the specific language governing permissions and
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** limitations under the License.
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*
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**********************************************************************/
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#include "callcpp.h"
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#include "chop.h"
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#include "chopper.h"
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#include "danerror.h"
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#include "globals.h"
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#include "gradechop.h"
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#include "pageres.h"
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#include "wordrec.h"
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#include "featdefs.h"
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#include "params_model.h"
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#include <math.h>
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#ifdef __UNIX__
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#include <unistd.h>
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#endif
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namespace tesseract {
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/**
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* @name program_editup
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*
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* Initialize all the things in the program that need to be initialized.
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* init_permute determines whether to initialize the permute functions
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* and Dawg models.
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*/
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void Wordrec::program_editup(const char *textbase,
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TessdataManager *init_classifier,
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TessdataManager *init_dict) {
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if (textbase != nullptr) imagefile = textbase;
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InitFeatureDefs(&feature_defs_);
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InitAdaptiveClassifier(init_classifier);
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if (init_dict) {
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getDict().SetupForLoad(Dict::GlobalDawgCache());
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getDict().Load(lang, init_dict);
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getDict().FinishLoad();
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}
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pass2_ok_split = chop_ok_split;
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}
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/**
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* @name end_recog
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*
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* Cleanup and exit the recog program.
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*/
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int Wordrec::end_recog() {
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program_editdown (0);
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return (0);
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}
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/**
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* @name program_editdown
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*
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* This function holds any nessessary post processing for the Wise Owl
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* program.
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*/
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void Wordrec::program_editdown(int32_t elasped_time) {
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EndAdaptiveClassifier();
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getDict().End();
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}
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/**
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* @name set_pass1
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*
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* Get ready to do some pass 1 stuff.
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*/
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void Wordrec::set_pass1() {
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chop_ok_split.set_value(70.0);
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language_model_->getParamsModel().SetPass(ParamsModel::PTRAIN_PASS1);
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SettupPass1();
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}
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/**
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* @name set_pass2
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*
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* Get ready to do some pass 2 stuff.
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*/
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void Wordrec::set_pass2() {
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chop_ok_split.set_value(pass2_ok_split);
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language_model_->getParamsModel().SetPass(ParamsModel::PTRAIN_PASS2);
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SettupPass2();
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}
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/**
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* @name cc_recog
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*
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* Recognize a word.
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*/
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void Wordrec::cc_recog(WERD_RES *word) {
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getDict().reset_hyphen_vars(word->word->flag(W_EOL));
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chop_word_main(word);
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word->DebugWordChoices(getDict().stopper_debug_level >= 1,
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getDict().word_to_debug.string());
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ASSERT_HOST(word->StatesAllValid());
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}
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/**
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* @name dict_word()
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*
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* Test the dictionaries, returning NO_PERM (0) if not found, or one
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* of the PermuterType values if found, according to the dictionary.
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*/
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int Wordrec::dict_word(const WERD_CHOICE &word) {
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return getDict().valid_word(word);
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}
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/**
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* @name call_matcher
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*
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* Called from Tess with a blob in tess form.
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* The blob may need rotating to the correct orientation for classification.
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*/
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BLOB_CHOICE_LIST *Wordrec::call_matcher(TBLOB *tessblob) {
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// Rotate the blob for classification if necessary.
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TBLOB* rotated_blob = tessblob->ClassifyNormalizeIfNeeded();
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if (rotated_blob == nullptr) {
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rotated_blob = tessblob;
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}
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BLOB_CHOICE_LIST *ratings = new BLOB_CHOICE_LIST(); // matcher result
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AdaptiveClassifier(rotated_blob, ratings);
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if (rotated_blob != tessblob) {
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delete rotated_blob;
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}
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return ratings;
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}
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} // namespace tesseract
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