tesseract/ccmain/tfacepp.cpp
theraysmith 7870d67c21 Fixed name collision with jpeg library
git-svn-id: https://tesseract-ocr.googlecode.com/svn/trunk@157 d0cd1f9f-072b-0410-8dd7-cf729c803f20
2008-04-22 00:32:14 +00:00

444 lines
18 KiB
C++

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