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51ed03368d
git-svn-id: https://tesseract-ocr.googlecode.com/svn/trunk@207 d0cd1f9f-072b-0410-8dd7-cf729c803f20
444 lines
18 KiB
C++
444 lines
18 KiB
C++
/**********************************************************************
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* File: tfacepp.cpp (Formerly tface++.c)
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* Description: C++ side of the C/C++ Tess/Editor interface.
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* Author: Ray Smith
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* Created: Thu Apr 23 15:39:23 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 "mfcpch.h"
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#ifdef __UNIX__
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#include <assert.h>
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#endif
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#include "errcode.h"
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#include "tessarray.h"
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//#include "fxtop.h"
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#include "werd.h"
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#include "tfacep.h"
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#include "tstruct.h"
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#include "tfacepp.h"
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#include "tessvars.h"
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#include "globals.h"
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#include "reject.h"
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#define EXTERN
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EXTERN BOOL_VAR (tessedit_override_permuter, TRUE, "According to dict_word");
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static POLY_MATCHER tess_matcher;//current matcher
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static POLY_TESTER tess_tester; //current tester
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static POLY_TESTER tess_trainer; //current trainer
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static DENORM *tess_denorm; //current denorm
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static WERD *tess_word; //current word
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#define MAX_UNDIVIDED_LENGTH 24
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const int kReallyBadCertainty = -20;
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/**********************************************************************
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* recog_word
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*
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* Convert the word to tess form and pass it to the tess segmenter.
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* Convert the output back to editor form.
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**********************************************************************/
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WERD_CHOICE *recog_word( //recog one owrd
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WERD *word, //word to do
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DENORM *denorm, //de-normaliser
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POLY_MATCHER matcher, //matcher function
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POLY_TESTER tester, //tester function
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POLY_TESTER trainer, //trainer function
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BOOL8 testing, //true if answer driven
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WERD_CHOICE *&raw_choice, //raw result //list of blob lists
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BLOB_CHOICE_LIST_CLIST *blob_choices,
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WERD *&outword //bln word output
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) {
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WERD_CHOICE *word_choice;
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uinT8 perm_type;
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uinT8 real_dict_perm_type;
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if (word->blob_list ()->empty ()) {
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char empty_lengths[] = {0};
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word_choice = new WERD_CHOICE ("", empty_lengths,
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10.0f, -1.0f, TOP_CHOICE_PERM);
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raw_choice = new WERD_CHOICE ("", empty_lengths,
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10.0f, -1.0f, TOP_CHOICE_PERM);
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outword = word->poly_copy (denorm->row ()->x_height ());
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}
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else
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word_choice = recog_word_recursive (word, denorm, matcher, tester,
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trainer, testing, raw_choice,
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blob_choices, outword);
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if ((word_choice->lengths ().length () !=
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outword->blob_list ()->length ()) ||
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(word_choice->lengths ().length () != blob_choices->length ())) {
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tprintf
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("recog_word ASSERT FAIL String:\"%s\"; Strlen=%d; #Blobs=%d; #Choices=%d\n",
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word_choice->string ().string (), word_choice->lengths ().length (),
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outword->blob_list ()->length (), blob_choices->length ());
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}
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ASSERT_HOST (word_choice->lengths ().length () ==
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outword->blob_list ()->length ());
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ASSERT_HOST (word_choice->lengths ().length () == blob_choices->length ());
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/* Copy any reject blobs into the outword */
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outword->rej_blob_list()->deep_copy(word->rej_blob_list(), &PBLOB::deep_copy);
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if (tessedit_override_permuter) {
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/* Override the permuter type if a straight dictionary check disagrees. */
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perm_type = word_choice->permuter ();
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if ((perm_type != SYSTEM_DAWG_PERM) &&
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(perm_type != FREQ_DAWG_PERM) && (perm_type != USER_DAWG_PERM)) {
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real_dict_perm_type = dict_word (word_choice->string ().string ());
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if (((real_dict_perm_type == SYSTEM_DAWG_PERM) ||
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(real_dict_perm_type == FREQ_DAWG_PERM) ||
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(real_dict_perm_type == USER_DAWG_PERM)) &&
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(alpha_count (word_choice->string ().string (),
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word_choice->lengths ().string ()) > 0))
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word_choice->set_permuter (real_dict_perm_type);
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//Use dict perm
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}
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if (tessedit_rejection_debug && perm_type != word_choice->permuter ()) {
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tprintf ("Permuter Type Flipped from %d to %d\n",
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perm_type, word_choice->permuter ());
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}
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}
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assert ((word_choice == NULL) == (raw_choice == NULL));
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return word_choice;
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}
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/**********************************************************************
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* recog_word_recursive
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*
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* Convert the word to tess form and pass it to the tess segmenter.
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* Convert the output back to editor form.
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**********************************************************************/
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WERD_CHOICE *recog_word_recursive( //recog one owrd
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WERD *word, //word to do
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DENORM *denorm, //de-normaliser
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POLY_MATCHER matcher, //matcher function
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POLY_TESTER tester, //tester function
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POLY_TESTER trainer, //trainer function
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BOOL8 testing, //true if answer driven
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WERD_CHOICE *&raw_choice, //raw result //list of blob lists
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BLOB_CHOICE_LIST_CLIST *blob_choices,
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WERD *&outword //bln word output
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) {
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inT32 initial_blob_choice_len;
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inT32 word_length; //no of blobs
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STRING word_string; //converted from tess
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STRING word_string_lengths;
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ARRAY tess_ratings; //tess results
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A_CHOICE tess_choice; //best word
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A_CHOICE tess_raw; //raw result
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TWERD *tessword; //tess format
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BLOB_CHOICE_LIST *choice_list; //fake list
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//iterator
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BLOB_CHOICE_LIST_C_IT choice_it;
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tess_matcher = matcher; //install matcher
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tess_tester = testing ? tester : NULL;
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tess_trainer = testing ? trainer : NULL;
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tess_denorm = denorm;
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tess_word = word;
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// blob_matchers[1]=call_matcher;
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if (word->blob_list ()->length () > MAX_UNDIVIDED_LENGTH) {
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return split_and_recog_word (word, denorm, matcher, tester, trainer,
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testing, raw_choice, blob_choices,
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outword);
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}
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else {
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if (word->flag (W_EOL))
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last_word_on_line = TRUE;
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else
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last_word_on_line = FALSE;
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initial_blob_choice_len = blob_choices->length ();
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tessword = make_tess_word (word, NULL);
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tess_ratings = cc_recog (tessword, &tess_choice, &tess_raw,
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testing
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&& tester != NULL /* ? call_tester : NULL */ ,
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testing
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&& trainer !=
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NULL /* ? call_train_tester : NULL */ );
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//convert word
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outword = make_ed_word (tessword, word);
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if (outword == NULL) {
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outword = word->poly_copy (denorm->row ()->x_height ());
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}
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delete_word(tessword); //get rid of it
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//no of blobs
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word_length = outword->blob_list ()->length ();
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//convert all ratings
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convert_choice_lists(tess_ratings, blob_choices);
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//copy string
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word_string = tess_raw.string;
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word_string_lengths = tess_raw.lengths;
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while (word_string_lengths.length () < word_length) {
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word_string += " "; //pad with blanks
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word_string_lengths += 1;
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}
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raw_choice = new WERD_CHOICE (word_string.string (),
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word_string_lengths.string (),
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tess_raw.rating, tess_raw.certainty,
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tess_raw.permuter);
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word_string = tess_choice.string;
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word_string_lengths = tess_choice.lengths;
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if (word_string_lengths.length () > word_length) {
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tprintf ("recog_word: Discarded long string \"%s\""
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" (%d characters vs %d blobs)\n",
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word_string.string (), word_string_lengths.length(), word_length);
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word_string = NULL; //should never happen
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word_string_lengths = NULL;
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tprintf("Word is at (%g,%g)\n",
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denorm->origin(),
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denorm->y(word->bounding_box().bottom(), 0.0));
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}
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if (blob_choices->length () - initial_blob_choice_len != word_length) {
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word_string = NULL; //force rejection
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word_string_lengths = NULL;
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tprintf ("recog_word: Choices list len:%d; blob lists len:%d\n",
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blob_choices->length (), word_length);
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//list of lists
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choice_it.set_to_list (blob_choices);
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while (blob_choices->length () - initial_blob_choice_len <
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word_length) {
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//get fake one
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choice_list = new BLOB_CHOICE_LIST;
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//add to list
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choice_it.add_to_end (choice_list);
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tprintf ("recog_word: Added dummy choice list\n");
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}
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while (blob_choices->length () - initial_blob_choice_len >
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word_length) {
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choice_it.move_to_last ();
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//should never happen
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delete choice_it.extract ();
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tprintf ("recog_word: Deleted choice list\n");
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}
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}
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while (word_string_lengths.length () < word_length) {
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word_string += " "; //pad with blanks
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word_string_lengths += 1;
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}
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assert (raw_choice != NULL);
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if (tess_choice.string) {
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strfree(tess_choice.string);
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strfree(tess_choice.lengths);
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}
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if (tess_raw.string) {
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strfree(tess_raw.string);
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strfree(tess_raw.lengths);
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}
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return new WERD_CHOICE (word_string.string (),
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word_string_lengths.string (),
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tess_choice.rating, tess_choice.certainty,
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tess_choice.permuter);
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}
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}
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/**********************************************************************
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* split_and_recog_word
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*
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* Convert the word to tess form and pass it to the tess segmenter.
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* Convert the output back to editor form.
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**********************************************************************/
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WERD_CHOICE *split_and_recog_word( //recog one owrd
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WERD *word, //word to do
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DENORM *denorm, //de-normaliser
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POLY_MATCHER matcher, //matcher function
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POLY_TESTER tester, //tester function
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POLY_TESTER trainer, //trainer function
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BOOL8 testing, //true if answer driven
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WERD_CHOICE *&raw_choice, //raw result //list of blob lists
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BLOB_CHOICE_LIST_CLIST *blob_choices,
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WERD *&outword //bln word output
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) {
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// inT32 outword1_len;
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// inT32 outword2_len;
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WERD *first_word; //poly copy of word
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WERD *second_word; //fabricated word
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WERD *outword2; //2nd output word
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PBLOB *blob;
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WERD_CHOICE *result; //resturn value
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WERD_CHOICE *result2; //output of 2nd word
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WERD_CHOICE *raw_choice2; //raw version of 2nd
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float gap; //blob gap
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float bestgap; //biggest gap
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PBLOB_LIST new_blobs; //list of gathered blobs
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PBLOB_IT blob_it;
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//iterator
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PBLOB_IT new_blob_it = &new_blobs;
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first_word = word->poly_copy (denorm->row ()->x_height ());
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blob_it.set_to_list (first_word->blob_list ());
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bestgap = -MAX_INT32;
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while (!blob_it.at_last ()) {
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blob = blob_it.data ();
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//gap to next
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gap = blob_it.data_relative (1)->bounding_box ().left () - blob->bounding_box ().right ();
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blob_it.forward ();
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if (gap > bestgap) {
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bestgap = gap; //find biggest
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new_blob_it = blob_it; //save position
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}
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}
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//take 2nd half
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new_blobs.assign_to_sublist (&new_blob_it, &blob_it);
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//make it a word
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second_word = new WERD (&new_blobs, 1, NULL);
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ASSERT_HOST (word->blob_list ()->length () ==
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first_word->blob_list ()->length () +
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second_word->blob_list ()->length ());
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result = recog_word_recursive (first_word, denorm, matcher,
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tester, trainer, testing, raw_choice,
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blob_choices, outword);
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delete first_word; //done that one
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result2 = recog_word_recursive (second_word, denorm, matcher,
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tester, trainer, testing, raw_choice2,
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blob_choices, outword2);
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delete second_word; //done that too
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*result += *result2; //combine ratings
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delete result2;
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*raw_choice += *raw_choice2;
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delete raw_choice2; //finished with it
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// outword1_len= outword->blob_list()->length();
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// outword2_len= outword2->blob_list()->length();
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outword->join_on (outword2); //join words
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delete outword2;
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// if ( outword->blob_list()->length() != outword1_len + outword2_len )
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// tprintf( "Split&Recog: part1len=%d; part2len=%d; combinedlen=%d\n",
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// outword1_len, outword2_len, outword->blob_list()->length() );
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// ASSERT_HOST( outword->blob_list()->length() == outword1_len + outword2_len );
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return result;
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}
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/**********************************************************************
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* call_matcher
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*
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* Called from Tess with a blob in tess form.
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* Convert the blob to editor form.
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* Call the matcher setup by the segmenter in tess_matcher.
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* Convert the output choices back to tess form.
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**********************************************************************/
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LIST call_matcher( //call a matcher
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TBLOB *ptblob, //previous
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TBLOB *tessblob, //blob to match
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TBLOB *ntblob, //next
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void *, //unused parameter
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TEXTROW * //always null anyway
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) {
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PBLOB *pblob; //converted blob
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PBLOB *blob; //converted blob
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PBLOB *nblob; //converted blob
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LIST result; //tess output
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BLOB_CHOICE *choice; //current choice
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BLOB_CHOICE_LIST ratings; //matcher result
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BLOB_CHOICE_IT it; //iterator
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char choice_lengths[2] = {0, 0};
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blob = make_ed_blob (tessblob);//convert blob
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if (blob == NULL) {
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// Since it is actually possible to get a NULL blob here, due to invalid
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// segmentations, fake a really bad classification.
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choice_lengths[0] = strlen(unicharset.id_to_unichar(1));
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return append_choice(NULL, unicharset.id_to_unichar(1), choice_lengths,
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static_cast<float>(MAX_NUM_INT_FEATURES),
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static_cast<float>(kReallyBadCertainty), 0);
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}
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pblob = ptblob != NULL ? make_ed_blob (ptblob) : NULL;
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nblob = ntblob != NULL ? make_ed_blob (ntblob) : NULL;
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(*tess_matcher) (pblob, blob, nblob, tess_word, tess_denorm, ratings);
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//match it
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delete blob; //don't need that now
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if (pblob != NULL)
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delete pblob;
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if (nblob != NULL)
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delete nblob;
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it.set_to_list (&ratings); //get list
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result = NULL;
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for (it.mark_cycle_pt (); !it.cycled_list (); it.forward ()) {
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choice = it.data ();
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choice_lengths[0] = strlen(choice->unichar ());
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result = append_choice (result, choice->unichar (),
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choice_lengths, choice->rating (),
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choice->certainty (), choice->config ());
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}
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return result; //converted list
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}
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/**********************************************************************
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* call_tester
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*
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* Called from Tess with a blob in tess form.
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* Convert the blob to editor form.
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* Call the tester setup by the segmenter in tess_tester.
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**********************************************************************/
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void call_tester( //call a tester
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TBLOB *tessblob, //blob to test
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BOOL8 correct_blob, //true if good
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char *text, //source text
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inT32 count, //chars in text
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LIST result //output of matcher
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) {
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PBLOB *blob; //converted blob
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BLOB_CHOICE_LIST ratings; //matcher result
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blob = make_ed_blob (tessblob);//convert blob
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if (blob == NULL)
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return;
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//make it right type
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convert_choice_list(result, ratings);
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if (tess_tester != NULL)
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(*tess_tester) (blob, tess_denorm, correct_blob, text, count, &ratings);
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delete blob; //don't need that now
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}
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/**********************************************************************
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* call_train_tester
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*
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* Called from Tess with a blob in tess form.
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* Convert the blob to editor form.
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* Call the trainer setup by the segmenter in tess_trainer.
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**********************************************************************/
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void call_train_tester( //call a tester
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TBLOB *tessblob, //blob to test
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BOOL8 correct_blob, //true if good
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char *text, //source text
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inT32 count, //chars in text
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LIST result //output of matcher
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) {
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PBLOB *blob; //converted blob
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BLOB_CHOICE_LIST ratings; //matcher result
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blob = make_ed_blob (tessblob);//convert blob
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if (blob == NULL)
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return;
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//make it right type
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convert_choice_list(result, ratings);
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if (tess_trainer != NULL)
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(*tess_trainer) (blob, tess_denorm, correct_blob, text, count, &ratings);
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delete blob; //don't need that now
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}
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