/**
* print_char_choices_list
*/
void print_char_choices_list(const char *msg,
const BLOB_CHOICE_LIST_VECTOR &char_choices,
const UNICHARSET ¤t_unicharset,
BOOL8 detailed) {
if (*msg != '\0') tprintf("%s\n", msg);
for (int x = 0; x < char_choices.length(); ++x) {
BLOB_CHOICE_IT c_it;
c_it.set_to_list(char_choices.get(x));
tprintf("char[%d]: %s\n", x,
current_unicharset.debug_str( c_it.data()->unichar_id()).string());
if (detailed)
print_ratings_list(" ", char_choices.get(x), current_unicharset);
}
}
/**
* permute_choices
*
* Call append_choices() for each BLOB_CHOICE in BLOB_CHOICE_LIST
* with the given char_choice_index in char_choices.
*/
void Dict::permute_choices(
const char *debug,
const BLOB_CHOICE_LIST_VECTOR &char_choices,
int char_choice_index,
const CHAR_FRAGMENT_INFO *prev_char_frag_info,
WERD_CHOICE *word,
float certainties[],
float *limit,
WERD_CHOICE *best_choice,
int *attempts_left,
void *more_args) {
if (debug) {
tprintf("%s permute_choices: char_choice_index=%d"
" limit=%g rating=%g, certainty=%g word=%s\n",
debug, char_choice_index, *limit, word->rating(),
word->certainty(), word->debug_string().string());
}
if (char_choice_index < char_choices.length()) {
BLOB_CHOICE_IT blob_choice_it;
blob_choice_it.set_to_list(char_choices.get(char_choice_index));
for (blob_choice_it.mark_cycle_pt(); !blob_choice_it.cycled_list();
blob_choice_it.forward()) {
(*attempts_left)--;
append_choices(debug, char_choices, *(blob_choice_it.data()),
char_choice_index, prev_char_frag_info, word,
certainties, limit, best_choice, attempts_left, more_args);
if (*attempts_left <= 0) {
if (debug) tprintf("permute_choices(): attempts_left is 0\n");
break;
}
}
}
}
/**********************************************************************
* select_blob_to_split
*
* These are the results of the last classification. Find a likely
* place to apply splits.
**********************************************************************/
inT16 Wordrec::select_blob_to_split(const BLOB_CHOICE_LIST_VECTOR &char_choices,
float rating_ceiling,
bool split_next_to_fragment) {
BLOB_CHOICE_IT blob_choice_it;
BLOB_CHOICE *blob_choice;
BLOB_CHOICE_IT temp_it;
int x;
float worst = -MAX_FLOAT32;
int worst_index = -1;
float worst_near_fragment = -MAX_FLOAT32;
int worst_index_near_fragment = -1;
const CHAR_FRAGMENT **fragments = NULL;
if (chop_debug) {
if (rating_ceiling < MAX_FLOAT32)
cprintf("rating_ceiling = %8.4f\n", rating_ceiling);
else
cprintf("rating_ceiling = No Limit\n");
}
if (split_next_to_fragment && char_choices.length() > 0) {
fragments = new const CHAR_FRAGMENT *[char_choices.length()];
if (char_choices.get(0) != NULL) {
temp_it.set_to_list(char_choices.get(0));
fragments[0] = getDict().getUnicharset().get_fragment(
temp_it.data()->unichar_id());
} else {
fragments[0] = NULL;
}
}
for (x = 0; x < char_choices.length(); ++x) {
if (char_choices.get(x) == NULL) {
if (fragments != NULL) {
delete[] fragments;
}
return x;
} else {
blob_choice_it.set_to_list(char_choices.get(x));
blob_choice = blob_choice_it.data();
// Populate fragments for the following position.
if (split_next_to_fragment && x+1 < char_choices.length()) {
if (char_choices.get(x+1) != NULL) {
temp_it.set_to_list(char_choices.get(x+1));
fragments[x+1] = getDict().getUnicharset().get_fragment(
temp_it.data()->unichar_id());
} else {
fragments[x+1] = NULL;
}
}
if (blob_choice->rating() < rating_ceiling &&
blob_choice->certainty() < tessedit_certainty_threshold) {
// Update worst and worst_index.
if (blob_choice->rating() > worst) {
worst_index = x;
worst = blob_choice->rating();
}
if (split_next_to_fragment) {
// Update worst_near_fragment and worst_index_near_fragment.
bool expand_following_fragment =
(x + 1 < char_choices.length() &&
fragments[x+1] != NULL && !fragments[x+1]->is_beginning());
bool expand_preceding_fragment =
(x > 0 && fragments[x-1] != NULL && !fragments[x-1]->is_ending());
if ((expand_following_fragment || expand_preceding_fragment) &&
blob_choice->rating() > worst_near_fragment) {
worst_index_near_fragment = x;
worst_near_fragment = blob_choice->rating();
if (chop_debug) {
cprintf("worst_index_near_fragment=%d"
" expand_following_fragment=%d"
" expand_preceding_fragment=%d\n",
worst_index_near_fragment,
expand_following_fragment,
expand_preceding_fragment);
}
}
}
}
}
}
if (fragments != NULL) {
delete[] fragments;
}
// TODO(daria): maybe a threshold of badness for
// worst_near_fragment would be useful.
return worst_index_near_fragment != -1 ?
worst_index_near_fragment : worst_index;
}
