tesseract v5.3.3.20231005
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This is the complete list of members for tesseract::Wordrec, including all inherited members.
AdaptableWord(WERD_RES *word) | tesseract::Classify | |
AdaptedTemplates | tesseract::Classify | |
AdaptiveClassifier(TBLOB *Blob, BLOB_CHOICE_LIST *Choices) | tesseract::Classify | |
AdaptiveClassifierIsEmpty() const | tesseract::Classify | inline |
AdaptiveClassifierIsFull() const | tesseract::Classify | inline |
AdaptToChar(TBLOB *Blob, CLASS_ID ClassId, int FontinfoId, float Threshold, ADAPT_TEMPLATES_STRUCT *adaptive_templates) | tesseract::Classify | |
add_point_to_list(PointHeap *point_heap, EDGEPT *point) | tesseract::Wordrec | |
add_seam_to_queue(float new_priority, SEAM *new_seam, SeamQueue *seams) | tesseract::Wordrec | |
AddLargeSpeckleTo(int blob_length, BLOB_CHOICE_LIST *choices) | tesseract::Classify | |
AddNewResult(const UnicharRating &new_result, ADAPT_RESULTS *results) | tesseract::Classify | |
AllConfigsOff | tesseract::Classify | |
AllConfigsOn | tesseract::Classify | |
AllProtosOn | tesseract::Classify | |
AmbigClassifier(const std::vector< INT_FEATURE_STRUCT > &int_features, const INT_FX_RESULT_STRUCT &fx_info, const TBLOB *blob, INT_TEMPLATES_STRUCT *templates, ADAPT_CLASS_STRUCT **classes, UNICHAR_ID *ambiguities, ADAPT_RESULTS *results) | tesseract::Classify | |
angle_change(EDGEPT *point1, EDGEPT *point2, EDGEPT *point3) | tesseract::Wordrec | |
attempt_blob_chop(TWERD *word, TBLOB *blob, int32_t blob_number, bool italic_blob, const std::vector< SEAM * > &seams) | tesseract::Wordrec | |
BackupAdaptedTemplates | tesseract::Classify | |
BaselineClassifier(TBLOB *Blob, const std::vector< INT_FEATURE_STRUCT > &int_features, const INT_FX_RESULT_STRUCT &fx_info, ADAPT_TEMPLATES_STRUCT *Templates, ADAPT_RESULTS *Results) | tesseract::Classify | |
BOOL_VAR_H(merge_fragments_in_matrix) | tesseract::Wordrec | |
BOOL_VAR_H(wordrec_enable_assoc) | tesseract::Wordrec | |
BOOL_VAR_H(force_word_assoc) | tesseract::Wordrec | |
BOOL_VAR_H(chop_enable) | tesseract::Wordrec | |
BOOL_VAR_H(chop_vertical_creep) | tesseract::Wordrec | |
BOOL_VAR_H(chop_new_seam_pile) | tesseract::Wordrec | |
BOOL_VAR_H(assume_fixed_pitch_char_segment) | tesseract::Wordrec | |
BOOL_VAR_H(wordrec_skip_no_truth_words) | tesseract::Wordrec | |
BOOL_VAR_H(wordrec_debug_blamer) | tesseract::Wordrec | |
BOOL_VAR_H(wordrec_run_blamer) | tesseract::Wordrec | |
BOOL_VAR_H(save_alt_choices) | tesseract::Wordrec | |
tesseract::Classify::BOOL_VAR_H(allow_blob_division) | tesseract::Classify | |
tesseract::Classify::BOOL_VAR_H(prioritize_division) | tesseract::Classify | |
tesseract::Classify::BOOL_VAR_H(classify_enable_learning) | tesseract::Classify | |
tesseract::Classify::BOOL_VAR_H(tess_cn_matching) | tesseract::Classify | |
tesseract::Classify::BOOL_VAR_H(tess_bn_matching) | tesseract::Classify | |
tesseract::Classify::BOOL_VAR_H(classify_enable_adaptive_matcher) | tesseract::Classify | |
tesseract::Classify::BOOL_VAR_H(classify_use_pre_adapted_templates) | tesseract::Classify | |
tesseract::Classify::BOOL_VAR_H(classify_save_adapted_templates) | tesseract::Classify | |
tesseract::Classify::BOOL_VAR_H(classify_enable_adaptive_debugger) | tesseract::Classify | |
tesseract::Classify::BOOL_VAR_H(classify_nonlinear_norm) | tesseract::Classify | |
tesseract::Classify::BOOL_VAR_H(disable_character_fragments) | tesseract::Classify | |
tesseract::Classify::BOOL_VAR_H(classify_debug_character_fragments) | tesseract::Classify | |
tesseract::Classify::BOOL_VAR_H(matcher_debug_separate_windows) | tesseract::Classify | |
tesseract::Classify::BOOL_VAR_H(classify_bln_numeric_mode) | tesseract::Classify | |
tesseract::CCStruct::BOOL_VAR_H(use_ambigs_for_adaption) | tesseract::CCUtil | |
call_matcher(TBLOB *blob) | tesseract::Wordrec | |
CallFillLattice(const MATRIX &ratings, const WERD_CHOICE_LIST &best_choices, const UNICHARSET &unicharset, BlamerBundle *blamer_bundle) | tesseract::Wordrec | inline |
cc_recog(WERD_RES *word) | tesseract::Wordrec | |
CCUtil() | tesseract::CCUtil | |
CharNormClassifier(TBLOB *blob, const TrainingSample &sample, ADAPT_RESULTS *adapt_results) | tesseract::Classify | |
CharNormTrainingSample(bool pruner_only, int keep_this, const TrainingSample &sample, std::vector< UnicharRating > *results) | tesseract::Classify | |
choose_best_seam(SeamQueue *seam_queue, const SPLIT *split, PRIORITY priority, SEAM **seam_result, TBLOB *blob, SeamPile *seam_pile) | tesseract::Wordrec | |
chop_numbered_blob(TWERD *word, int32_t blob_number, bool italic_blob, const std::vector< SEAM * > &seams) | tesseract::Wordrec | |
chop_one_blob(const std::vector< TBOX > &boxes, const std::vector< BLOB_CHOICE * > &blob_choices, WERD_RES *word_res, unsigned *blob_number) | tesseract::Wordrec | |
chop_overlapping_blob(const std::vector< TBOX > &boxes, bool italic_blob, WERD_RES *word_res, unsigned *blob_number) | tesseract::Wordrec | |
chop_word_main(WERD_RES *word) | tesseract::Wordrec | |
ClassAndConfigIDToFontOrShapeID(int class_id, int int_result_config) const | tesseract::Classify | |
ClassIDToDebugStr(const INT_TEMPLATES_STRUCT *templates, int class_id, int config_id) const | tesseract::Classify | |
Classify() | tesseract::Classify | |
classify_blob(TBLOB *blob, const char *string, ScrollView::Color color, BlamerBundle *blamer_bundle) | tesseract::Wordrec | |
classify_piece(const std::vector< SEAM * > &seams, int16_t start, int16_t end, const char *description, TWERD *word, BlamerBundle *blamer_bundle) | tesseract::Wordrec | virtual |
ClassifyAsNoise(ADAPT_RESULTS *Results) | tesseract::Classify | |
ClearCharNormArray(uint8_t *char_norm_array) | tesseract::Classify | |
combine_seam(const SeamPile &seam_pile, const SEAM *seam, SeamQueue *seam_queue) | tesseract::Wordrec | |
ComputeCharNormArrays(FEATURE_STRUCT *norm_feature, INT_TEMPLATES_STRUCT *templates, uint8_t *char_norm_array, uint8_t *pruner_array) | tesseract::Classify | |
ComputeCorrectedRating(bool debug, int unichar_id, double cp_rating, double im_rating, int feature_misses, int bottom, int top, int blob_length, int matcher_multiplier, const uint8_t *cn_factors) | tesseract::Classify | |
ComputeIntCharNormArray(const FEATURE_STRUCT &norm_feature, uint8_t *char_norm_array) | tesseract::Classify | |
ComputeIntFeatures(FEATURE_SET Features, INT_FEATURE_ARRAY IntFeatures) | tesseract::Classify | |
ComputeNormMatch(CLASS_ID ClassId, const FEATURE_STRUCT &feature, bool DebugMatch) | tesseract::Classify | |
ConvertMatchesToChoices(const DENORM &denorm, const TBOX &box, ADAPT_RESULTS *Results, BLOB_CHOICE_LIST *Choices) | tesseract::Classify | |
ConvertProto(PROTO_STRUCT *Proto, int ProtoId, INT_CLASS_STRUCT *Class) | tesseract::Classify | |
CreateIntTemplates(CLASSES FloatProtos, const UNICHARSET &target_unicharset) | tesseract::Classify | |
datadir | tesseract::CCUtil | |
DebugAdaptiveClassifier(TBLOB *Blob, ADAPT_RESULTS *Results) | tesseract::Classify | |
dict_word(const WERD_CHOICE &word) | tesseract::Wordrec | |
directory | tesseract::CCUtil | |
DisplayAdaptedChar(TBLOB *blob, INT_CLASS_STRUCT *int_class) | tesseract::Classify | |
DoAdaptiveMatch(TBLOB *Blob, ADAPT_RESULTS *Results) | tesseract::Classify | |
double_VAR_H(tessedit_certainty_threshold) | tesseract::Wordrec | |
double_VAR_H(chop_split_dist_knob) | tesseract::Wordrec | |
double_VAR_H(chop_overlap_knob) | tesseract::Wordrec | |
double_VAR_H(chop_center_knob) | tesseract::Wordrec | |
double_VAR_H(chop_sharpness_knob) | tesseract::Wordrec | |
double_VAR_H(chop_width_change_knob) | tesseract::Wordrec | |
double_VAR_H(chop_ok_split) | tesseract::Wordrec | |
double_VAR_H(chop_good_split) | tesseract::Wordrec | |
double_VAR_H(segsearch_max_char_wh_ratio) | tesseract::Wordrec | |
tesseract::Classify::double_VAR_H(classify_char_norm_range) | tesseract::Classify | |
tesseract::Classify::double_VAR_H(classify_max_rating_ratio) | tesseract::Classify | |
tesseract::Classify::double_VAR_H(classify_max_certainty_margin) | tesseract::Classify | |
tesseract::Classify::double_VAR_H(matcher_good_threshold) | tesseract::Classify | |
tesseract::Classify::double_VAR_H(matcher_reliable_adaptive_result) | tesseract::Classify | |
tesseract::Classify::double_VAR_H(matcher_perfect_threshold) | tesseract::Classify | |
tesseract::Classify::double_VAR_H(matcher_bad_match_pad) | tesseract::Classify | |
tesseract::Classify::double_VAR_H(matcher_rating_margin) | tesseract::Classify | |
tesseract::Classify::double_VAR_H(matcher_avg_noise_size) | tesseract::Classify | |
tesseract::Classify::double_VAR_H(matcher_clustering_max_angle_delta) | tesseract::Classify | |
tesseract::Classify::double_VAR_H(classify_misfit_junk_penalty) | tesseract::Classify | |
tesseract::Classify::double_VAR_H(rating_scale) | tesseract::Classify | |
tesseract::Classify::double_VAR_H(tessedit_class_miss_scale) | tesseract::Classify | |
tesseract::Classify::double_VAR_H(classify_adapted_pruning_factor) | tesseract::Classify | |
tesseract::Classify::double_VAR_H(classify_adapted_pruning_threshold) | tesseract::Classify | |
tesseract::Classify::double_VAR_H(classify_character_fragments_garbage_certainty_threshold) | tesseract::Classify | |
tesseract::Classify::double_VAR_H(speckle_large_max_size) | tesseract::Classify | |
tesseract::Classify::double_VAR_H(speckle_rating_penalty) | tesseract::Classify | |
EnableLearning | tesseract::Classify | |
end_recog() | tesseract::Wordrec | |
EndAdaptiveClassifier() | tesseract::Classify | |
ExpandShapesAndApplyCorrections(ADAPT_CLASS_STRUCT **classes, bool debug, int class_id, int bottom, int top, float cp_rating, int blob_length, int matcher_multiplier, const uint8_t *cn_factors, UnicharRating *int_result, ADAPT_RESULTS *final_results) | tesseract::Classify | |
ExtractFeatures(const TBLOB &blob, bool nonlinear_norm, std::vector< INT_FEATURE_STRUCT > *bl_features, std::vector< INT_FEATURE_STRUCT > *cn_features, INT_FX_RESULT_STRUCT *results, std::vector< int > *outline_cn_counts) | tesseract::Classify | static |
ExtractIntCNFeatures(const TBLOB &blob, const INT_FX_RESULT_STRUCT &fx_info) | tesseract::Classify | |
ExtractIntGeoFeatures(const TBLOB &blob, const INT_FX_RESULT_STRUCT &fx_info) | tesseract::Classify | |
ExtractOutlineFeatures(TBLOB *Blob) | tesseract::Classify | |
ExtractPicoFeatures(TBLOB *Blob) | tesseract::Classify | |
feature_defs_ | tesseract::Classify | protected |
fill_lattice_ | tesseract::Wordrec | |
FillLattice(const MATRIX &ratings, const WERD_CHOICE_LIST &best_choices, const UNICHARSET &unicharset, BlamerBundle *blamer_bundle) | tesseract::Wordrec | |
fontinfo_table_ | tesseract::Classify | |
fontset_table_ | tesseract::Classify | |
FreeNormProtos() | tesseract::Classify | |
get_fontinfo_table() | tesseract::Classify | inline |
get_fontinfo_table() const | tesseract::Classify | inline |
get_fontset_table() | tesseract::Classify | inline |
GetAdaptiveFeatures(TBLOB *Blob, INT_FEATURE_ARRAY IntFeatures, FEATURE_SET *FloatFeatures) | tesseract::Classify | |
GetAmbiguities(TBLOB *Blob, CLASS_ID CorrectClass) | tesseract::Classify | |
GetCharNormFeature(const INT_FX_RESULT_STRUCT &fx_info, INT_TEMPLATES_STRUCT *templates, uint8_t *pruner_norm_array, uint8_t *char_norm_array) | tesseract::Classify | |
GetClassToDebug(const char *Prompt, bool *adaptive_on, bool *pretrained_on, int *shape_id) | tesseract::Classify | |
getDict() | tesseract::Classify | inlinevirtual |
GetFontinfoId(ADAPT_CLASS_STRUCT *Class, uint8_t ConfigId) | tesseract::Classify | |
grade_sharpness(SPLIT *split) | tesseract::Wordrec | |
grade_split_length(SPLIT *split) | tesseract::Wordrec | |
im_ | tesseract::Classify | protected |
imagebasename | tesseract::CCUtil | |
imagefile | tesseract::CCUtil | |
improve_by_chopping(float rating_cert_scale, WERD_RES *word, BestChoiceBundle *best_choice_bundle, BlamerBundle *blamer_bundle, LMPainPoints *pain_points, std::vector< SegSearchPending > *pending) | tesseract::Wordrec | |
improve_one_blob(const std::vector< BLOB_CHOICE * > &blob_choices, DANGERR *fixpt, bool split_next_to_fragment, bool italic_blob, WERD_RES *word, unsigned *blob_number) | tesseract::Wordrec | |
InitAdaptedClass(TBLOB *Blob, CLASS_ID ClassId, int FontinfoId, ADAPT_CLASS_STRUCT *Class, ADAPT_TEMPLATES_STRUCT *Templates) | tesseract::Classify | |
InitAdaptiveClassifier(TessdataManager *mgr) | tesseract::Classify | |
InitBlamerForSegSearch(WERD_RES *word_res, LMPainPoints *pain_points, BlamerBundle *blamer_bundle, std::string &blamer_debug) | tesseract::Wordrec | protected |
InitialSegSearch(WERD_RES *word_res, LMPainPoints *pain_points, std::vector< SegSearchPending > *pending, BestChoiceBundle *best_choice_bundle, BlamerBundle *blamer_bundle) | tesseract::Wordrec | |
INT_VAR_H(repair_unchopped_blobs) | tesseract::Wordrec | |
INT_VAR_H(chop_debug) | tesseract::Wordrec | |
INT_VAR_H(chop_split_length) | tesseract::Wordrec | |
INT_VAR_H(chop_same_distance) | tesseract::Wordrec | |
INT_VAR_H(chop_min_outline_points) | tesseract::Wordrec | |
INT_VAR_H(chop_seam_pile_size) | tesseract::Wordrec | |
INT_VAR_H(chop_inside_angle) | tesseract::Wordrec | |
INT_VAR_H(chop_min_outline_area) | tesseract::Wordrec | |
INT_VAR_H(chop_centered_maxwidth) | tesseract::Wordrec | |
INT_VAR_H(chop_x_y_weight) | tesseract::Wordrec | |
INT_VAR_H(wordrec_debug_level) | tesseract::Wordrec | |
INT_VAR_H(wordrec_max_join_chunks) | tesseract::Wordrec | |
INT_VAR_H(segsearch_debug_level) | tesseract::Wordrec | |
INT_VAR_H(segsearch_max_pain_points) | tesseract::Wordrec | |
INT_VAR_H(segsearch_max_futile_classifications) | tesseract::Wordrec | |
tesseract::Classify::INT_VAR_H(classify_debug_level) | tesseract::Classify | |
tesseract::Classify::INT_VAR_H(classify_norm_method) | tesseract::Classify | |
tesseract::Classify::INT_VAR_H(matcher_debug_level) | tesseract::Classify | |
tesseract::Classify::INT_VAR_H(matcher_debug_flags) | tesseract::Classify | |
tesseract::Classify::INT_VAR_H(classify_learning_debug_level) | tesseract::Classify | |
tesseract::Classify::INT_VAR_H(matcher_permanent_classes_min) | tesseract::Classify | |
tesseract::Classify::INT_VAR_H(matcher_min_examples_for_prototyping) | tesseract::Classify | |
tesseract::Classify::INT_VAR_H(matcher_sufficient_examples_for_prototyping) | tesseract::Classify | |
tesseract::Classify::INT_VAR_H(classify_adapt_proto_threshold) | tesseract::Classify | |
tesseract::Classify::INT_VAR_H(classify_adapt_feature_threshold) | tesseract::Classify | |
tesseract::Classify::INT_VAR_H(classify_class_pruner_threshold) | tesseract::Classify | |
tesseract::Classify::INT_VAR_H(classify_class_pruner_multiplier) | tesseract::Classify | |
tesseract::Classify::INT_VAR_H(classify_cp_cutoff_strength) | tesseract::Classify | |
tesseract::Classify::INT_VAR_H(classify_integer_matcher_multiplier) | tesseract::Classify | |
tesseract::CCStruct::INT_VAR_H(ambigs_debug_level) | tesseract::CCUtil | |
is_inside_angle(EDGEPT *pt) | tesseract::Wordrec | |
kAscenderFraction | tesseract::CCStruct | static |
kDescenderFraction | tesseract::CCStruct | static |
kXHeightCapRatio | tesseract::CCStruct | static |
kXHeightFraction | tesseract::CCStruct | static |
lang | tesseract::CCUtil | |
language_data_path_prefix | tesseract::CCUtil | |
language_model_ | tesseract::Wordrec | |
LargeSpeckle(const TBLOB &blob) | tesseract::Classify | |
LearnBlob(const std::string &fontname, TBLOB *Blob, const DENORM &cn_denorm, const INT_FX_RESULT_STRUCT &fx_info, const char *blob_text) | tesseract::Classify | |
LearnPieces(const char *fontname, int start, int length, float threshold, CharSegmentationType segmentation, const char *correct_text, WERD_RES *word) | tesseract::Classify | |
LearnWord(const char *fontname, WERD_RES *word) | tesseract::Classify | |
LooksLikeGarbage(TBLOB *blob) | tesseract::Classify | |
main_setup(const std::string &argv0, const std::string &basename) | tesseract::CCUtil | |
MakeNewTemporaryConfig(ADAPT_TEMPLATES_STRUCT *Templates, CLASS_ID ClassId, int FontinfoId, int NumFeatures, INT_FEATURE_ARRAY Features, FEATURE_SET FloatFeatures) | tesseract::Classify | |
MakeNewTempProtos(FEATURE_SET Features, int NumBadFeat, FEATURE_ID BadFeat[], INT_CLASS_STRUCT *IClass, ADAPT_CLASS_STRUCT *Class, BIT_VECTOR TempProtoMask) | tesseract::Classify | |
MakePermanent(ADAPT_TEMPLATES_STRUCT *Templates, CLASS_ID ClassId, int ConfigId, TBLOB *Blob) | tesseract::Classify | |
MasterMatcher(INT_TEMPLATES_STRUCT *templates, int16_t num_features, const INT_FEATURE_STRUCT *features, const uint8_t *norm_factors, ADAPT_CLASS_STRUCT **classes, int debug, int matcher_multiplier, const TBOX &blob_box, const std::vector< CP_RESULT_STRUCT > &results, ADAPT_RESULTS *final_results) | tesseract::Classify | |
near_point(EDGEPT *point, EDGEPT *line_pt_0, EDGEPT *line_pt_1, EDGEPT **near_pt) | tesseract::Wordrec | |
new_max_point(EDGEPT *local_max, PointHeap *points) | tesseract::Wordrec | |
new_min_point(EDGEPT *local_min, PointHeap *points) | tesseract::Wordrec | |
NormalizeOutlines(LIST Outlines, float *XScale, float *YScale) | tesseract::Classify | |
NormProtos | tesseract::Classify | |
params() | tesseract::CCUtil | inline |
pass2_ok_split | tesseract::Wordrec | |
pick_close_point(EDGEPT *critical_point, EDGEPT *vertical_point, int *best_dist) | tesseract::Wordrec | |
pick_good_seam(TBLOB *blob) | tesseract::Wordrec | |
point_priority(EDGEPT *point) | tesseract::Wordrec | |
PreTrainedTemplates | tesseract::Classify | |
prev_word_best_choice_ | tesseract::Wordrec | |
PrintAdaptedTemplates(FILE *File, ADAPT_TEMPLATES_STRUCT *Templates) | tesseract::Classify | |
PrintAdaptiveMatchResults(const ADAPT_RESULTS &results) | tesseract::Classify | |
prioritize_points(TESSLINE *outline, PointHeap *points) | tesseract::Wordrec | |
ProcessSegSearchPainPoint(float pain_point_priority, const MATRIX_COORD &pain_point, const char *pain_point_type, std::vector< SegSearchPending > *pending, WERD_RES *word_res, LMPainPoints *pain_points, BlamerBundle *blamer_bundle) | tesseract::Wordrec | protected |
program_editdown(int32_t elasped_time) | tesseract::Wordrec | |
program_editup(const std::string &textbase, TessdataManager *init_classifier, TessdataManager *init_dict) | tesseract::Wordrec | |
PruneClasses(const INT_TEMPLATES_STRUCT *int_templates, int num_features, int keep_this, const INT_FEATURE_STRUCT *features, const uint8_t *normalization_factors, const uint16_t *expected_num_features, std::vector< CP_RESULT_STRUCT > *results) | tesseract::Classify | |
ReadAdaptedTemplates(TFile *File) | tesseract::Classify | |
ReadIntTemplates(TFile *fp) | tesseract::Classify | |
ReadNewCutoffs(TFile *fp, uint16_t *Cutoffs) | tesseract::Classify | |
ReadNormProtos(TFile *fp) | tesseract::Classify | |
RefreshDebugWindow(ScrollView **win, const char *msg, int y_offset, const TBOX &wbox) | tesseract::Classify | |
RemoveBadMatches(ADAPT_RESULTS *Results) | tesseract::Classify | |
RemoveExtraPuncs(ADAPT_RESULTS *Results) | tesseract::Classify | |
ResetAdaptiveClassifierInternal() | tesseract::Classify | |
ResetNGramSearch(WERD_RES *word_res, BestChoiceBundle *best_choice_bundle, std::vector< SegSearchPending > &pending) | tesseract::Wordrec | protected |
SaveAltChoices(const LIST &best_choices, WERD_RES *word) | tesseract::Wordrec | |
SegSearch(WERD_RES *word_res, BestChoiceBundle *best_choice_bundle, BlamerBundle *blamer_bundle) | tesseract::Wordrec | |
SegSearchDone(int num_futile_classifications) | tesseract::Wordrec | inlineprotected |
select_blob_to_split(const std::vector< BLOB_CHOICE * > &blob_choices, float rating_ceiling, bool split_next_to_fragment) | tesseract::Wordrec | |
select_blob_to_split_from_fixpt(DANGERR *fixpt) | tesseract::Wordrec | |
set_pass1() | tesseract::Wordrec | |
set_pass2() | tesseract::Wordrec | |
SetAdaptiveThreshold(float Threshold) | tesseract::Classify | |
SetStaticClassifier(ShapeClassifier *static_classifier) | tesseract::Classify | |
SettupPass1() | tesseract::Classify | |
SettupPass2() | tesseract::Classify | |
SetupBLCNDenorms(const TBLOB &blob, bool nonlinear_norm, DENORM *bl_denorm, DENORM *cn_denorm, INT_FX_RESULT_STRUCT *fx_info) | tesseract::Classify | static |
shape_table() const | tesseract::Classify | inline |
shape_table_ | tesseract::Classify | protected |
ShapeIDToClassID(int shape_id) const | tesseract::Classify | |
ShowBestMatchFor(int shape_id, const INT_FEATURE_STRUCT *features, int num_features) | tesseract::Classify | |
ShowMatchDisplay() | tesseract::Classify | |
StartBackupAdaptiveClassifier() | tesseract::Classify | |
STRING_VAR_H(classify_learn_debug_str) | tesseract::Classify | |
SwitchAdaptiveClassifier() | tesseract::Classify | |
TempConfigReliable(CLASS_ID class_id, const TEMP_CONFIG_STRUCT *config) | tesseract::Classify | |
TempProtoMask | tesseract::Classify | |
try_point_pairs(EDGEPT *points[MAX_NUM_POINTS], int16_t num_points, SeamQueue *seam_queue, SeamPile *seam_pile, SEAM **seam, TBLOB *blob) | tesseract::Wordrec | |
try_vertical_splits(EDGEPT *points[MAX_NUM_POINTS], int16_t num_points, EDGEPT_CLIST *new_points, SeamQueue *seam_queue, SeamPile *seam_pile, SEAM **seam, TBLOB *blob) | tesseract::Wordrec | |
unichar_ambigs | tesseract::CCUtil | |
unicharset | tesseract::CCUtil | |
UpdateAmbigsGroup(CLASS_ID class_id, TBLOB *Blob) | tesseract::Classify | |
UpdateSegSearchNodes(float rating_cert_scale, int starting_col, std::vector< SegSearchPending > *pending, WERD_RES *word_res, LMPainPoints *pain_points, BestChoiceBundle *best_choice_bundle, BlamerBundle *blamer_bundle) | tesseract::Wordrec | protected |
vertical_projection_point(EDGEPT *split_point, EDGEPT *target_point, EDGEPT **best_point, EDGEPT_CLIST *new_points) | tesseract::Wordrec | |
Wordrec() | tesseract::Wordrec | |
WriteAdaptedTemplates(FILE *File, ADAPT_TEMPLATES_STRUCT *Templates) | tesseract::Classify | |
WriteIntTemplates(FILE *File, INT_TEMPLATES_STRUCT *Templates, const UNICHARSET &target_unicharset) | tesseract::Classify | |
WriteTRFile(const char *filename) | tesseract::Classify | |
~CCUtil() | tesseract::CCUtil | virtual |
~Classify() override | tesseract::Classify | |
~Wordrec() override=default | tesseract::Wordrec |