tesseract/wordrec/bestfirst.cpp
2007-03-07 20:03:40 +00:00

513 lines
16 KiB
C++

/* -*-C-*-
********************************************************************************
*
* File: bestfirst.c (Formerly bestfirst.c)
* Description: Best first search functions
* Author: Mark Seaman, OCR Technology
* Created: Mon May 14 11:23:29 1990
* Modified: Tue Jul 30 16:08:47 1991 (Mark Seaman) marks@hpgrlt
* Language: C
* Package: N/A
* Status: Experimental (Do Not Distribute)
*
* (c) Copyright 1990, Hewlett-Packard Company.
** 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.
*
***************************************************************************/
/*----------------------------------------------------------------------
I n c l u d e s
---------------------------------------------------------------------*/
#include "bestfirst.h"
#include "heuristic.h"
#include "plotseg.h"
#include "tordvars.h"
#include "debug.h"
#include "pieces.h"
#include "stopper.h"
#include "metrics.h"
#include "states.h"
#include "bitvec.h"
#include "freelist.h"
#include "permute.h"
#include "structures.h"
#include "wordclass.h"
void call_caller();
/*----------------------------------------------------------------------
V a r i a b l e s
---------------------------------------------------------------------*/
int num_joints; /* Number of chunks - 1 */
int num_pushed = 0;
int num_popped = 0;
make_int_var (num_seg_states, 30, make_seg_states,
9, 1, set_seg_states, "Segmentation states");
make_float_var (worst_state, 1, make_worst_state,
9, 9, set_worst_state, "Worst segmentation state");
/**/
/*----------------------------------------------------------------------
F u n c t i o n s
----------------------------------------------------------------------*/
/**********************************************************************
* init_bestfirst_vars
*
* Create and initialize references to debug variables that control
* operations in this file.
**********************************************************************/
void init_bestfirst_vars() {
make_seg_states();
make_worst_state();
}
/**********************************************************************
* best_first_search
*
* Find the best segmentation by doing a best first search of the
* solution space.
**********************************************************************/
void best_first_search(CHUNKS_RECORD *chunks_record,
A_CHOICE *best_choice,
A_CHOICE *raw_choice,
STATE *state,
DANGERR *fixpt,
STATE *best_state,
INT32 pass) {
SEARCH_RECORD *the_search;
INT16 keep_going;
STATE guided_state;
num_joints = matrix_dimension (chunks_record->ratings) - 1;
the_search = new_search (chunks_record, num_joints,
best_choice, raw_choice, state);
#ifndef GRAPHICS_DISABLED
save_best_state(chunks_record);
#endif
start_recording();
guided_state = *state;
do {
/* Look for answer */
if (!hash_lookup (the_search->closed_states, the_search->this_state)) {
if (blob_skip) {
free_state (the_search->this_state);
break;
}
guided_state = *(the_search->this_state);
keep_going =
evaluate_state(chunks_record, the_search, fixpt, best_state, pass);
hash_add (the_search->closed_states, the_search->this_state);
if (!keep_going ||
(the_search->num_states > num_seg_states) || (blob_skip)) {
free_state (the_search->this_state);
break;
}
expand_node(chunks_record, the_search);
}
free_state (the_search->this_state);
num_popped++;
the_search->this_state = pop_queue (the_search->open_states);
}
while (the_search->this_state);
state->part1 = the_search->best_state->part1;
state->part2 = the_search->best_state->part2;
stop_recording();
delete_search(the_search);
}
/**********************************************************************
* chunks_width
*
* Return the width of several of the chunks (if they were joined to-
* gether.
**********************************************************************/
int chunks_width(WIDTH_RECORD *width_record, int start_chunk, int last_chunk) {
int result = 0;
int x;
for (x = start_chunk * 2; x <= last_chunk * 2; x++)
result += width_record->widths[x];
return (result);
}
/**********************************************************************
* delete_search
*
* Terminate the current search and free all the memory involved.
**********************************************************************/
void delete_search(SEARCH_RECORD *the_search) {
float closeness;
closeness = (the_search->num_joints ?
(hamming_distance ((unsigned long *) the_search->first_state,
(unsigned long *) the_search->best_state,
2) / (float) the_search->num_joints) : 0.0);
record_search_status (the_search->num_states,
the_search->before_best, closeness);
free_state (the_search->first_state);
free_state (the_search->best_state);
free_hash_table (the_search->closed_states);
FreeHeapData (the_search->open_states, (void_dest) free_state);
memfree(the_search);
}
/**********************************************************************
* evaluate_chunks
*
* A particular word level segmentation has been chosen. Evaluation
* this to find the word list that corresponds to it.
**********************************************************************/
CHOICES_LIST evaluate_chunks(CHUNKS_RECORD *chunks_record,
SEARCH_STATE search_state,
STATE *this_state,
STATE *best_state,
INT32 pass) {
CHOICES_LIST char_choices;
CHOICES this_choice;
int i;
int x = 0;
int y;
char_choices = new_choice_list ();
/* Iterate sub-paths */
for (i = 1; i <= search_state[0] + 1; i++) {
if (i > search_state[0])
y = count_blobs (chunks_record->chunks) - 1;
else
y = x + search_state[i];
if (blob_skip) {
array_free(char_choices);
return (NULL);
} /* Process one square */
/* Classify if needed */
this_choice = get_piece_rating (chunks_record->ratings,
chunks_record->chunks,
chunks_record->splits,
x, y,
chunks_record->fx,
this_state, best_state, pass, i - 1);
if (this_choice == NIL) {
array_free(char_choices);
return (NULL);
}
/* Add permuted ratings */
last_segmentation[i - 1].certainty = best_certainty (this_choice);
last_segmentation[i - 1].match = best_probability (this_choice);
last_segmentation[i - 1].width =
chunks_width (chunks_record->chunk_widths, x, y);
last_segmentation[i - 1].gap =
chunks_gap (chunks_record->chunk_widths, y);
char_choices = array_push (char_choices, this_choice);
x = y + 1;
}
return (char_choices);
}
/**********************************************************************
* evaluate_state
*
* Evaluate the segmentation that is represented by this state in the
* best first search. Add this state to the "states_seen" list.
**********************************************************************/
INT16 evaluate_state(CHUNKS_RECORD *chunks_record,
SEARCH_RECORD *the_search,
DANGERR *fixpt,
STATE *best_state,
INT32 pass) {
CHOICES_LIST char_choices;
SEARCH_STATE chunk_groups;
float rating_limit = class_probability (the_search->best_choice);
INT16 keep_going = TRUE;
PIECES_STATE widths;
the_search->num_states++;
chunk_groups = bin_to_chunks (the_search->this_state,
the_search->num_joints);
bin_to_pieces (the_search->this_state, the_search->num_joints, widths);
LogNewSegmentation(widths);
rating_limit = class_probability (the_search->best_choice);
char_choices =
evaluate_chunks (chunks_record, chunk_groups, the_search->this_state,
best_state, pass);
if (char_choices != NULL) {
permute_characters (char_choices,
rating_limit,
the_search->best_choice, the_search->raw_choice);
if (AcceptableChoice (char_choices, the_search->best_choice,
the_search->raw_choice, fixpt))
keep_going = FALSE;
array_free(char_choices);
}
#ifndef GRAPHICS_DISABLED
if (display_segmentations) {
display_segmentation (chunks_record->chunks, chunk_groups);
if (display_segmentations > 1)
window_wait(segm_window);
}
#endif
if (rating_limit != class_probability (the_search->best_choice)) {
the_search->before_best = the_search->num_states;
the_search->best_state->part1 = the_search->this_state->part1;
the_search->best_state->part2 = the_search->this_state->part2;
replace_char_widths(chunks_record, chunk_groups);
}
else if (char_choices != NULL)
fixpt->index = -1;
memfree(chunk_groups);
return (keep_going);
}
/**********************************************************************
* rebuild_current_state
*
* Evaluate the segmentation that is represented by this state in the
* best first search. Add this state to the "states_seen" list.
**********************************************************************/
CHOICES_LIST rebuild_current_state(TBLOB *blobs,
SEAMS seam_list,
STATE *state,
CHOICES_LIST old_choices,
int fx) {
CHOICES_LIST char_choices;
SEARCH_STATE search_state;
int i;
int num_joints = array_count (seam_list);
int x = 0;
int blobindex; /*current blob */
TBLOB *p_blob;
TBLOB *blob;
TBLOB *next_blob;
int y;
search_state = bin_to_chunks (state, num_joints);
char_choices = new_choice_list ();
/* Iterate sub-paths */
for (i = 1; i <= search_state[0]; i++) {
y = x + search_state[i];
x = y + 1;
char_choices = array_push (char_choices, NULL);
}
char_choices = array_push (char_choices, NULL);
y = count_blobs (blobs) - 1;
for (i = search_state[0]; i >= 0; i--) {
if (x == y) { /*single fragment */
array_value (char_choices, i) = array_value (old_choices, x);
/*grab the list */
array_value (old_choices, x) = NULL;
}
else {
join_pieces(blobs, seam_list, x, y);
for (blob = blobs, blobindex = 0, p_blob = NULL; blobindex < x;
blobindex++) {
p_blob = blob;
blob = blob->next;
}
while (blobindex < y) {
next_blob = blob->next;
blob->next = next_blob->next;
oldblob(next_blob); /*junk dead blobs */
blobindex++;
}
array_value (char_choices, i) =
(char *) classify_blob (p_blob, blob, blob->next, NULL, fx,
"rebuild", Orange, NULL, NULL, 0, 0);
}
y = x - 1;
x = y - search_state[i];
}
memfree(search_state);
free_all_choices(old_choices, x);
return (char_choices);
}
/**********************************************************************
* expand_node
*
* Create the states that are attached to this one. Check to see that
* each one has not already been visited. If not add it to the priority
* queue.
**********************************************************************/
void expand_node(CHUNKS_RECORD *chunks_record, SEARCH_RECORD *the_search) {
STATE old_state;
int x;
int mask = 1 << (the_search->num_joints - 1 - 32);
old_state.part1 = the_search->this_state->part1;
old_state.part2 = the_search->this_state->part2;
for (x = the_search->num_joints; x > 32; x--) {
the_search->this_state->part1 = mask ^ old_state.part1;
if (!hash_lookup (the_search->closed_states, the_search->this_state))
push_queue (the_search->open_states,
the_search->this_state,
prioritize_state (chunks_record, the_search, &old_state));
mask >>= 1;
}
if (the_search->num_joints > 32) {
mask = 1 << 31;
}
else {
mask = 1 << (the_search->num_joints - 1);
}
while (x--) {
the_search->this_state->part2 = mask ^ old_state.part2;
if (!hash_lookup (the_search->closed_states, the_search->this_state))
push_queue (the_search->open_states,
the_search->this_state,
prioritize_state (chunks_record, the_search, &old_state));
mask >>= 1;
}
}
/**********************************************************************
* new_search
*
* Create and initialize a new search record.
**********************************************************************/
SEARCH_RECORD *new_search(CHUNKS_RECORD *chunks_record,
int num_joints,
A_CHOICE *best_choice,
A_CHOICE *raw_choice,
STATE *state) {
SEARCH_RECORD *this_search;
this_search = (SEARCH_RECORD *) memalloc (sizeof (SEARCH_RECORD));
this_search->open_states = MakeHeap (num_seg_states * 20);
this_search->closed_states = new_hash_table ();
if (state)
this_search->this_state = new_state (state);
else
cprintf ("error: bad initial state in new_search\n");
this_search->first_state = new_state (this_search->this_state);
this_search->best_state = new_state (this_search->this_state);
this_search->best_choice = best_choice;
this_search->raw_choice = raw_choice;
this_search->num_joints = num_joints;
this_search->num_states = 0;
this_search->before_best = 0;
return (this_search);
}
/**********************************************************************
* pop_queue
*
* Get this state from the priority queue. It should be the state that
* has the greatest urgency to be evaluated.
**********************************************************************/
STATE *pop_queue(HEAP *queue) {
HEAPENTRY entry;
if (GetTopOfHeap (queue, &entry) == OK) {
#ifndef GRAPHICS_DISABLED
if (display_segmentations) {
cprintf ("eval state: %8.3f ", entry.Key);
print_state ("", (STATE *) entry.Data, num_joints);
}
#endif
return ((STATE *) entry.Data);
}
else {
return (NULL);
}
}
/**********************************************************************
* push_queue
*
* Add this state into the priority queue.
**********************************************************************/
void push_queue(HEAP *queue, STATE *state, FLOAT32 priority) {
HEAPENTRY entry;
if (SizeOfHeap (queue) < MaxSizeOfHeap (queue) && priority < worst_state) {
entry.Data = (char *) new_state (state);
num_pushed++;
entry.Key = priority;
HeapStore(queue, &entry);
}
}
/**********************************************************************
* replace_char_widths
*
* Replace the value of the char_width field in the chunks_record with
* the updated width measurements from the last_segmentation.
**********************************************************************/
void replace_char_widths(CHUNKS_RECORD *chunks_record, SEARCH_STATE state) {
WIDTH_RECORD *width_record;
int num_blobs;
int i;
free_widths (chunks_record->char_widths);
num_blobs = state[0] + 1;
width_record = (WIDTH_RECORD *) memalloc (sizeof (int) * num_blobs * 2);
width_record->num_chars = num_blobs;
for (i = 0; i < num_blobs; i++) {
width_record->widths[2 * i] = last_segmentation[i].width;
if (i + 1 < num_blobs)
width_record->widths[2 * i + 1] = last_segmentation[i].gap;
}
chunks_record->char_widths = width_record;
}