/* -*-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 #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(); FLOAT32 worst_priority = 2.0f * prioritize_state(chunks_record, the_search, best_state); if (worst_priority < worst_state) worst_priority = worst_state; 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(worst_priority, 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(reinterpret_cast(the_search->first_state), reinterpret_cast(the_search->best_state), 2) / (float) the_search->num_joints) : 0.0f); 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; #ifndef GRAPHICS_DISABLED if (display_segmentations) { print_state("Rebuiling state", state, num_joints); } #endif 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(FLOAT32 worst_priority, 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, worst_priority, 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, worst_priority, 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 worst_priority, FLOAT32 priority) { HEAPENTRY entry; if (SizeOfHeap (queue) < MaxSizeOfHeap (queue) && priority < worst_priority) { 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; }