, including all inherited members.
| AdaptableWord(TWERD *Word, const WERD_CHOICE &BestChoiceWord, const WERD_CHOICE &RawChoiceWord) | tesseract::Classify | |
| AdaptedTemplates | tesseract::Classify | |
| AdaptiveClassifier(TBLOB *Blob, const DENORM &denorm, BLOB_CHOICE_LIST *Choices, CLASS_PRUNER_RESULTS cp_results) | tesseract::Classify | |
| AdaptiveClassifierIsFull() | tesseract::Classify | [inline] |
| AdaptToChar(TBLOB *Blob, const DENORM &denorm, CLASS_ID ClassId, int FontinfoId, FLOAT32 Threshold) | tesseract::Classify | |
| AdaptToPunc(TBLOB *Blob, const DENORM &denorm, CLASS_ID ClassId, int FontinfoId, FLOAT32 Threshold) | tesseract::Classify | |
| add_point_to_list(POINT_GROUP point_list, EDGEPT *point) | tesseract::Wordrec | |
| AddNewResult(ADAPT_RESULTS *results, CLASS_ID class_id, int shape_id, FLOAT32 rating, bool adapted, int config, int fontinfo_id, int fontinfo_id2) | tesseract::Classify | |
| AllConfigsOff | tesseract::Classify | |
| AllConfigsOn | tesseract::Classify | |
| AllProtosOff | tesseract::Classify | |
| AllProtosOn | tesseract::Classify | |
| AmbigClassifier(TBLOB *Blob, const DENORM &denorm, INT_TEMPLATES Templates, ADAPT_CLASS *Classes, UNICHAR_ID *Ambiguities, ADAPT_RESULTS *Results) | tesseract::Classify | |
| ambigs_debug_level | tesseract::CCUtil | |
| angle_change(EDGEPT *point1, EDGEPT *point2, EDGEPT *point3) | tesseract::Wordrec | |
| assume_fixed_pitch_char_segment | tesseract::Wordrec | |
| attempt_blob_chop(TWERD *word, TBLOB *blob, inT32 blob_number, bool italic_blob, SEAMS seam_list) | tesseract::Wordrec | |
| BaselineClassifier(TBLOB *Blob, const DENORM &denorm, ADAPT_TEMPLATES Templates, ADAPT_RESULTS *Results) | tesseract::Classify | |
| best_first_search(CHUNKS_RECORD *chunks_record, BLOB_CHOICE_LIST_VECTOR *best_char_choices, WERD_RES *word, STATE *state, DANGERR *fixpt, STATE *best_state) | tesseract::Wordrec | |
| blame_reasons_ | tesseract::Wordrec | |
| blob_match_table | tesseract::Wordrec | |
| call_matcher(const DENORM *denorm, TBLOB *blob) | tesseract::Wordrec | |
| CallFillLattice(const MATRIX &ratings, const LIST &best_choices, const UNICHARSET &unicharset, BlamerBundle *blamer_bundle) | tesseract::Wordrec | [inline] |
| cc_recog(WERD_RES *word) | tesseract::Wordrec | |
| CCStruct() | tesseract::CCStruct | |
| CCUtil() | tesseract::CCUtil | |
| certainty_scale | tesseract::Classify | |
| CharNormClassifier(TBLOB *Blob, const DENORM &denorm, INT_TEMPLATES Templates, ADAPT_RESULTS *Results) | tesseract::Classify | |
| CharNormTrainingSample(bool pruner_only, const TrainingSample &sample, GenericVector< ShapeRating > *results) | tesseract::Classify | |
| ChoiceIsCorrect(const UNICHARSET &uni_set, const WERD_CHOICE *choice, const GenericVector< STRING > &truth_text) | tesseract::Wordrec | |
| choose_best_seam(SEAM_QUEUE seam_queue, SEAM_PILE *seam_pile, SPLIT *split, PRIORITY priority, SEAM **seam_result, TBLOB *blob) | tesseract::Wordrec | |
| chop_center_knob | tesseract::Wordrec | |
| chop_debug | tesseract::Wordrec | |
| chop_enable | tesseract::Wordrec | |
| chop_good_split | tesseract::Wordrec | |
| chop_inside_angle | tesseract::Wordrec | |
| chop_min_outline_area | tesseract::Wordrec | |
| chop_min_outline_points | tesseract::Wordrec | |
| chop_numbered_blob(TWERD *word, inT32 blob_number, bool italic_blob, SEAMS seam_list) | tesseract::Wordrec | |
| chop_ok_split | tesseract::Wordrec | |
| chop_one_blob(TWERD *word, BLOB_CHOICE_LIST_VECTOR *char_choices, inT32 *blob_number, SEAMS *seam_list, int *right_chop_index) | tesseract::Wordrec | |
| chop_one_blob2(const GenericVector< TBOX > &boxes, WERD_RES *word_res, SEAMS *seam_list) | tesseract::Wordrec | |
| chop_overlap_knob | tesseract::Wordrec | |
| chop_overlapping_blob(const GenericVector< TBOX > &boxes, WERD_RES *word_res, inT32 *blob_number, bool italic_blob, SEAMS seam_list) | tesseract::Wordrec | |
| chop_same_distance | tesseract::Wordrec | |
| chop_sharpness_knob | tesseract::Wordrec | |
| chop_split_dist_knob | tesseract::Wordrec | |
| chop_split_length | tesseract::Wordrec | |
| chop_vertical_creep | tesseract::Wordrec | |
| chop_width_change_knob | tesseract::Wordrec | |
| chop_word_main(WERD_RES *word) | tesseract::Wordrec | |
| chop_x_y_weight | 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_adapt_feature_threshold | tesseract::Classify | |
| classify_adapt_proto_threshold | tesseract::Classify | |
| classify_bln_numeric_mode | tesseract::Classify | |
| classify_blob(TBLOB *blob, const DENORM &denorm, const char *string, C_COL color, BlamerBundle *blamer_bundle) | tesseract::Wordrec | |
| classify_char_norm_range | tesseract::Classify | |
| classify_character_fragments_garbage_certainty_threshold | tesseract::Classify | |
| classify_class_pruner_multiplier | tesseract::Classify | |
| classify_class_pruner_threshold | tesseract::Classify | |
| classify_cp_cutoff_strength | tesseract::Classify | |
| classify_debug_character_fragments | tesseract::Classify | |
| classify_debug_level | tesseract::Classify | |
| classify_enable_adaptive_debugger | tesseract::Classify | |
| classify_enable_adaptive_matcher | tesseract::Classify | |
| classify_enable_learning | tesseract::Classify | |
| classify_integer_matcher_multiplier | tesseract::Classify | |
| classify_learn_debug_str | tesseract::Classify | |
| classify_learning_debug_level | tesseract::Classify | |
| classify_max_norm_scale_x | tesseract::Classify | |
| classify_max_norm_scale_y | tesseract::Classify | |
| classify_min_norm_scale_x | tesseract::Classify | |
| classify_min_norm_scale_y | tesseract::Classify | |
| classify_misfit_junk_penalty | tesseract::Classify | |
| classify_norm_method | tesseract::Classify | |
| classify_piece(TBLOB *pieces, const DENORM &denorm, SEAMS seams, inT16 start, inT16 end, BlamerBundle *blamer_bundle) | tesseract::Wordrec | [virtual] |
| classify_save_adapted_templates | tesseract::Classify | |
| classify_use_pre_adapted_templates | tesseract::Classify | |
| ClassifyAsNoise(ADAPT_RESULTS *Results) | tesseract::Classify | |
| ClearCharNormArray(uinT8 *char_norm_array) | tesseract::Classify | |
| combine_seam(SEAM_QUEUE seam_queue, SEAM_PILE seam_pile, SEAM *seam) | tesseract::Wordrec | |
| ComputeCharNormArrays(FEATURE_STRUCT *norm_feature, INT_TEMPLATES_STRUCT *templates, uinT8 *char_norm_array, uinT8 *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, const uinT8 *cn_factors) | tesseract::Classify | |
| ComputeIntCharNormArray(const FEATURE_STRUCT &norm_feature, uinT8 *char_norm_array) | tesseract::Classify | |
| ComputeIntFeatures(FEATURE_SET Features, INT_FEATURE_ARRAY IntFeatures) | tesseract::Classify | |
| ComputeNormMatch(CLASS_ID ClassId, const FEATURE_STRUCT &feature, BOOL8 DebugMatch) | tesseract::Classify | |
| constrained_split(SPLIT *split, TBLOB *blob) | tesseract::Wordrec | |
| ConvertMatchesToChoices(const DENORM &denorm, const TBOX &box, ADAPT_RESULTS *Results, BLOB_CHOICE_LIST *Choices) | tesseract::Classify | |
| ConvertProto(PROTO Proto, int ProtoId, INT_CLASS Class) | tesseract::Classify | |
| CopyCharChoices(const BLOB_CHOICE_LIST_VECTOR &from, BLOB_CHOICE_LIST_VECTOR *to) | tesseract::Wordrec | |
| CreateIntTemplates(CLASSES FloatProtos, const UNICHARSET &target_unicharset) | tesseract::Classify | |
| crosses_outline(EDGEPT *p0, EDGEPT *p1, EDGEPT *outline) | tesseract::Wordrec | |
| CUtil() | tesseract::CUtil | |
| datadir | tesseract::CCUtil | |
| DebugAdaptiveClassifier(TBLOB *Blob, const DENORM &denorm, ADAPT_RESULTS *Results) | tesseract::Classify | |
| delete_seam_pile(SEAM_PILE seam_pile) | tesseract::Wordrec | |
| delete_search(SEARCH_RECORD *the_search) | tesseract::Wordrec | |
| dict_word(const WERD_CHOICE &word) | tesseract::Wordrec | |
| directory | tesseract::CCUtil | |
| disable_character_fragments | tesseract::Classify | |
| DisplayAdaptedChar(TBLOB *blob, const DENORM &denorm, INT_CLASS_STRUCT *int_class) | tesseract::Classify | |
| DoAdaptiveMatch(TBLOB *Blob, const DENORM &denorm, ADAPT_RESULTS *Results) | tesseract::Classify | |
| enable_new_segsearch | tesseract::Wordrec | |
| EnableLearning | tesseract::Classify | |
| end_recog() | tesseract::Wordrec | |
| EndAdaptiveClassifier() | tesseract::Classify | |
| evaluate_chunks(CHUNKS_RECORD *chunks_record, SEARCH_STATE search_state, BlamerBundle *blamer_bundle) | tesseract::Wordrec | |
| evaluate_state(CHUNKS_RECORD *chunks_record, SEARCH_RECORD *the_search, DANGERR *fixpt, BlamerBundle *blamer_bundle) | tesseract::Wordrec | |
| expand_node(FLOAT32 worst_priority, CHUNKS_RECORD *chunks_record, SEARCH_RECORD *the_search) | tesseract::Wordrec | |
| ExpandShapesAndApplyCorrections(ADAPT_CLASS *classes, bool debug, int class_id, int bottom, int top, float cp_rating, int blob_length, const uinT8 *cn_factors, INT_RESULT_STRUCT &int_result, ADAPT_RESULTS *final_results) | tesseract::Classify | |
| ExtractOutlineFeatures(TBLOB *Blob) | tesseract::Classify | |
| ExtractPicoFeatures(TBLOB *Blob) | tesseract::Classify | |
| fake_classify_blob(UNICHAR_ID class_id, float rating, float certainty) | tesseract::Wordrec | |
| feature_defs_ | tesseract::Classify | [protected] |
| fill_filtered_fragment_list(BLOB_CHOICE_LIST *choices, int fragment_pos, int num_frag_parts, BLOB_CHOICE_LIST *filtered_choices) | tesseract::Wordrec | |
| fill_lattice_ | tesseract::Wordrec | |
| FillLattice(const MATRIX &ratings, const LIST &best_choices, const UNICHARSET &unicharset, BlamerBundle *blamer_bundle) | tesseract::Wordrec | |
| FinishBlamerForSegSearch(const WERD_CHOICE *best_choice, BlamerBundle *blamer_bundle, STRING *blamer_debug) | tesseract::Wordrec | [protected] |
| fontinfo_table_ | tesseract::Classify | |
| fontset_table_ | tesseract::Classify | |
| force_word_assoc | tesseract::Wordrec | |
| fragments_guide_chopper | tesseract::Wordrec | |
| FreeNormProtos() | tesseract::Classify | |
| full_split_priority(SPLIT *split, inT16 xmin, inT16 xmax) | tesseract::Wordrec | |
| get_fontinfo_table() | tesseract::Classify | [inline] |
| get_fontset_table() | tesseract::Classify | [inline] |
| get_fragment_lists(inT16 current_frag, inT16 current_row, inT16 start, inT16 num_frag_parts, inT16 num_blobs, MATRIX *ratings, BLOB_CHOICE_LIST *choice_lists) | tesseract::Wordrec | |
| get_gap_variance(WIDTH_RECORD *wrec, float norm_height) | tesseract::Wordrec | |
| get_piece_rating(MATRIX *ratings, TBLOB *blobs, const DENORM &denorm, SEAMS seams, inT16 start, inT16 end, BlamerBundle *blamer_bundle) | tesseract::Wordrec | |
| get_width_variance(WIDTH_RECORD *wrec, float norm_height) | tesseract::Wordrec | |
| GetAdaptiveFeatures(TBLOB *Blob, INT_FEATURE_ARRAY IntFeatures, FEATURE_SET *FloatFeatures) | tesseract::Classify | |
| GetAdaptThresholds(TWERD *Word, const DENORM &denorm, const WERD_CHOICE &BestChoice, const WERD_CHOICE &BestRawChoice, FLOAT32 Thresholds[]) | tesseract::Classify | |
| GetAmbiguities(TBLOB *Blob, const DENORM &denorm, CLASS_ID CorrectClass) | tesseract::Classify | |
| GetBaselineFeatures(TBLOB *Blob, const DENORM &denorm, INT_TEMPLATES Templates, INT_FEATURE_ARRAY IntFeatures, uinT8 *CharNormArray, inT32 *BlobLength) | tesseract::Classify | |
| GetCharNormFeatures(TBLOB *Blob, const DENORM &denorm, INT_TEMPLATES Templates, INT_FEATURE_ARRAY IntFeatures, uinT8 *PrunerNormArray, uinT8 *CharNormArray, inT32 *BlobLength, inT32 *FeatureOutlineIndex) | tesseract::Classify | |
| GetClassToDebug(const char *Prompt, bool *adaptive_on, bool *pretrained_on, int *shape_id) | tesseract::Classify | |
| getDict() | tesseract::Classify | [inline] |
| GetFontinfoId(ADAPT_CLASS Class, uinT8 ConfigId) | tesseract::Classify | |
| grade_center_of_blob(register BOUNDS_RECT rect) | tesseract::Wordrec | |
| grade_overlap(register BOUNDS_RECT rect) | tesseract::Wordrec | |
| grade_sharpness(register SPLIT *split) | tesseract::Wordrec | |
| grade_split_length(register SPLIT *split) | tesseract::Wordrec | |
| grade_width_change(register BOUNDS_RECT rect) | tesseract::Wordrec | |
| heuristic_max_char_wh_ratio | tesseract::Wordrec | |
| heuristic_segcost_rating_base | tesseract::Wordrec | |
| heuristic_weight_rating | tesseract::Wordrec | |
| heuristic_weight_seamcut | tesseract::Wordrec | |
| heuristic_weight_width | tesseract::Wordrec | |
| il1_adaption_test | tesseract::Classify | |
| im_ | tesseract::Classify | [protected] |
| image_ | tesseract::CCStruct | [protected] |
| imagebasename | tesseract::CCUtil | |
| imagefile | tesseract::CCUtil | |
| improve_by_chopping(WERD_RES *word, BLOB_CHOICE_LIST_VECTOR *char_choices, STATE *best_state, BLOB_CHOICE_LIST_VECTOR *best_char_choices, DANGERR *fixpt, bool *updated_best_choice) | tesseract::Wordrec | |
| improve_one_blob(WERD_RES *word_res, BLOB_CHOICE_LIST_VECTOR *char_choices, inT32 *blob_number, SEAMS *seam_list, DANGERR *fixpt, bool split_next_to_fragment, BlamerBundle *blamer_bundle) | tesseract::Wordrec | |
| InitAdaptedClass(TBLOB *Blob, const DENORM &denorm, CLASS_ID ClassId, int FontinfoId, ADAPT_CLASS Class, ADAPT_TEMPLATES Templates) | tesseract::Classify | |
| InitAdaptiveClassifier(bool load_pre_trained_templates) | tesseract::Classify | |
| InitBlamerForSegSearch(const WERD_CHOICE *best_choice, CHUNKS_RECORD *chunks_record, HEAP *pain_points, BlamerBundle *blamer_bundle, STRING *blamer_debug) | tesseract::Wordrec | [protected] |
| is_crossed(TPOINT a0, TPOINT a1, TPOINT b0, TPOINT b1) | tesseract::Wordrec | |
| is_little_chunk(EDGEPT *point1, EDGEPT *point2) | tesseract::Wordrec | |
| is_same_edgept(EDGEPT *p1, EDGEPT *p2) | tesseract::Wordrec | |
| is_small_area(EDGEPT *point1, EDGEPT *point2) | tesseract::Wordrec | |
| join_blobs_and_classify(WERD_RES *word, int x, int y, int choice_index, MATRIX *ratings, BLOB_CHOICE_LIST_VECTOR *old_choices) | tesseract::Wordrec | |
| junk_worst_seam(SEAM_QUEUE seams, SEAM *new_seam, float new_priority) | 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 | |
| last_segmentation | tesseract::Wordrec | |
| LearnPieces(const char *filename, int start, int length, float threshold, CharSegmentationType segmentation, const char *correct_text, WERD_RES *word) | tesseract::Classify | |
| LearnWord(const char *filename, const char *rejmap, WERD_RES *word) | tesseract::Classify | |
| LooksLikeGarbage(const DENORM &denorm, TBLOB *blob) | tesseract::Classify | |
| m_data_sub_dir | tesseract::CCUtil | |
| main_setup(const char *argv0, const char *basename) | tesseract::CCUtil | |
| MakeNewTemporaryConfig(ADAPT_TEMPLATES 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 IClass, ADAPT_CLASS Class, BIT_VECTOR TempProtoMask) | tesseract::Classify | |
| MakePermanent(ADAPT_TEMPLATES Templates, CLASS_ID ClassId, int ConfigId, const DENORM &denorm, TBLOB *Blob) | tesseract::Classify | |
| MasterMatcher(INT_TEMPLATES templates, inT16 num_features, const INT_FEATURE_STRUCT *features, const uinT8 *norm_factors, ADAPT_CLASS *classes, int debug, int num_classes, const TBOX &blob_box, CLASS_PRUNER_RESULTS results, ADAPT_RESULTS *final_results) | tesseract::Classify | |
| matcher_avg_noise_size | tesseract::Classify | |
| matcher_bad_match_pad | tesseract::Classify | |
| matcher_clustering_max_angle_delta | tesseract::Classify | |
| matcher_debug_flags | tesseract::Classify | |
| matcher_debug_level | tesseract::Classify | |
| matcher_debug_separate_windows | tesseract::Classify | |
| matcher_good_threshold | tesseract::Classify | |
| matcher_great_threshold | tesseract::Classify | |
| matcher_min_examples_for_prototyping | tesseract::Classify | |
| matcher_perfect_threshold | tesseract::Classify | |
| matcher_permanent_classes_min | tesseract::Classify | |
| matcher_rating_margin | tesseract::Classify | |
| matcher_sufficient_examples_for_prototyping | tesseract::Classify | |
| merge_and_put_fragment_lists(inT16 row, inT16 column, inT16 num_frag_parts, BLOB_CHOICE_LIST *choice_lists, MATRIX *ratings) | tesseract::Wordrec | |
| merge_fragments(MATRIX *ratings, inT16 num_blobs) | tesseract::Wordrec | |
| merge_fragments_in_matrix | tesseract::Wordrec | |
| modify_blob_choice(BLOB_CHOICE_LIST *answer, int chop_index) | tesseract::Wordrec | |
| near_point(EDGEPT *point, EDGEPT *line_pt_0, EDGEPT *line_pt_1, EDGEPT **near_pt) | tesseract::Wordrec | |
| new_max_point(EDGEPT *local_max, POINT_GROUP points) | tesseract::Wordrec | |
| new_min_point(EDGEPT *local_min, POINT_GROUP points) | tesseract::Wordrec | |
| new_search(CHUNKS_RECORD *chunks_record, int num_joints, BLOB_CHOICE_LIST_VECTOR *best_char_choices, WERD_CHOICE *best_choice, WERD_CHOICE *raw_choice, STATE *state) | tesseract::Wordrec | |
| NewAdaptedTemplates(bool InitFromUnicharset) | tesseract::Classify | |
| NormalizeOutlines(LIST Outlines, FLOAT32 *XScale, FLOAT32 *YScale) | tesseract::Classify | |
| NormProtos | tesseract::Classify | |
| num_joints | tesseract::Wordrec | |
| num_popped | tesseract::Wordrec | |
| num_pushed | tesseract::Wordrec | |
| params() | tesseract::CCUtil | [inline] |
| pass2_ok_split | tesseract::Wordrec | |
| pass2_seg_states | 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 | |
| pop_queue(HEAP *queue) | tesseract::Wordrec | |
| PreTrainedTemplates | tesseract::Classify | |
| prev_word_best_choice_ | tesseract::Wordrec | |
| PrintAdaptedTemplates(FILE *File, ADAPT_TEMPLATES Templates) | tesseract::Classify | |
| PrintAdaptiveMatchResults(FILE *File, ADAPT_RESULTS *Results) | tesseract::Classify | |
| PrintAdaptiveStatistics(FILE *File) | tesseract::Classify | |
| prioritize_division | tesseract::Classify | |
| prioritize_points(TESSLINE *outline, POINT_GROUP points) | tesseract::Wordrec | |
| prioritize_state(CHUNKS_RECORD *chunks_record, SEARCH_RECORD *the_search) | tesseract::Wordrec | |
| ProcessSegSearchPainPoint(float pain_point_priority, const MATRIX_COORD &pain_point, const WERD_CHOICE *best_choice, SEG_SEARCH_PENDING_LIST *pending[], CHUNKS_RECORD *chunks_record, HEAP *pain_points, BlamerBundle *blamer_bundle) | tesseract::Wordrec | [protected] |
| program_editdown(inT32 elasped_time) | tesseract::Wordrec | |
| program_editup(const char *textbase, bool init_classifier, bool init_permute) | tesseract::Wordrec | |
| PruneClasses(const INT_TEMPLATES_STRUCT *int_templates, int num_features, const INT_FEATURE_STRUCT *features, const uinT8 *normalization_factors, const uinT16 *expected_num_features, CP_RESULT_STRUCT *results) | tesseract::Classify | |
| PrunedProtos | tesseract::Classify | |
| push_queue(HEAP *queue, STATE *state, FLOAT32 worst_priority, FLOAT32 priority, bool debug) | tesseract::Wordrec | |
| rating_priority(CHUNKS_RECORD *chunks_record, STATE *state, int num_joints) | tesseract::Wordrec | |
| rating_scale | tesseract::Classify | |
| read_variables(const char *filename, bool global_only) | tesseract::CUtil | |
| ReadAdaptedTemplates(FILE *File) | tesseract::Classify | |
| ReadClassFile() | tesseract::Classify | |
| ReadIntTemplates(FILE *File) | tesseract::Classify | |
| ReadNewCutoffs(FILE *CutoffFile, bool swap, inT64 end_offset, CLASS_CUTOFF_ARRAY Cutoffs) | tesseract::Classify | |
| ReadNormProtos(FILE *File, inT64 end_offset) | tesseract::Classify | |
| rebuild_current_state(WERD_RES *word, STATE *state, BLOB_CHOICE_LIST_VECTOR *char_choices, MATRIX *ratings) | tesseract::Wordrec | |
| rebuild_fragments(const char *unichar, const char *expanded_fragment_lengths, int choice_index, BLOB_CHOICE_LIST_VECTOR *old_choices) | tesseract::Wordrec | |
| record_blob_bounds(TBLOB *blobs) | tesseract::Wordrec | |
| record_piece_ratings(TBLOB *blobs) | tesseract::Wordrec | |
| 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 | |
| repair_unchopped_blobs | tesseract::Wordrec | |
| replace_char_widths(CHUNKS_RECORD *chunks_record, SEARCH_STATE state) | tesseract::Wordrec | |
| ResetAdaptiveClassifierInternal() | tesseract::Classify | |
| ResetFeaturesHaveBeenExtracted() | tesseract::Classify | |
| reverse_outline(EDGEPT *outline) | tesseract::Wordrec | |
| save_alt_choices | tesseract::Wordrec | |
| SaveAltChoices(const LIST &best_choices, WERD_RES *word) | tesseract::Wordrec | |
| seam_priority(SEAM *seam, inT16 xmin, inT16 xmax) | tesseract::Wordrec | |
| seamcut_priority(SEAMS seams, STATE *state, int num_joints) | tesseract::Wordrec | |
| segment_adjust_debug | tesseract::Wordrec | |
| SegSearch(CHUNKS_RECORD *chunks_record, WERD_CHOICE *best_choice, BLOB_CHOICE_LIST_VECTOR *best_char_choices, WERD_CHOICE *raw_choice, STATE *output_best_state, BlamerBundle *blamer_bundle) | tesseract::Wordrec | |
| segsearch_debug_level | tesseract::Wordrec | |
| segsearch_max_char_wh_ratio | tesseract::Wordrec | |
| segsearch_max_fixed_pitch_char_wh_ratio | tesseract::Wordrec | |
| segsearch_max_futile_classifications | tesseract::Wordrec | |
| segsearch_max_pain_points | tesseract::Wordrec | |
| SegSearchDone(int num_futile_classifications) | tesseract::Wordrec | [inline, protected] |
| select_blob_to_split(const BLOB_CHOICE_LIST_VECTOR &char_choices, float rating_ceiling, bool split_next_to_fragment) | tesseract::Wordrec | |
| select_blob_to_split_from_fixpt(DANGERR *fixpt) | tesseract::Wordrec | |
| set_chopper_blame(WERD_RES *word) | tesseract::Wordrec | |
| set_outline_bounds(register EDGEPT *point1, register EDGEPT *point2, BOUNDS_RECT rect) | tesseract::Wordrec | |
| set_pass1() | tesseract::Wordrec | |
| set_pass2() | tesseract::Wordrec | |
| SetAdaptiveThreshold(FLOAT32 Threshold) | tesseract::Classify | |
| SettupPass1() | tesseract::Classify | |
| SettupPass2() | tesseract::Classify | |
| shape_table() const | tesseract::Classify | [inline] |
| shape_table_ | tesseract::Classify | [protected] |
| ShapeIDToClassID(int shape_id) const | tesseract::Classify | |
| ShowBestMatchFor(TBLOB *Blob, const DENORM &denorm, CLASS_ID ClassId, int shape_id, BOOL8 AdaptiveOn, BOOL8 PreTrainedOn, ADAPT_RESULTS *Results) | tesseract::Classify | |
| ShowMatchDisplay() | tesseract::Classify | |
| state_char_widths(WIDTH_RECORD *chunk_widths, STATE *state, int num_joints) | tesseract::Wordrec | |
| TempConfigReliable(CLASS_ID class_id, const TEMP_CONFIG &config) | tesseract::Classify | |
| TempProtoMask | tesseract::Classify | |
| tess_bn_matching | tesseract::Classify | |
| tess_cn_matching | tesseract::Classify | |
| tessdata_manager | tesseract::CCUtil | |
| tessedit_certainty_threshold | tesseract::Wordrec | |
| tessedit_class_miss_scale | tesseract::Classify | |
| tessedit_single_match | tesseract::Classify | |
| try_point_pairs(EDGEPT *points[MAX_NUM_POINTS], inT16 num_points, SEAM_QUEUE seam_queue, SEAM_PILE *seam_pile, SEAM **seam, TBLOB *blob) | tesseract::Wordrec | |
| try_vertical_splits(EDGEPT *points[MAX_NUM_POINTS], inT16 num_points, EDGEPT_CLIST *new_points, SEAM_QUEUE seam_queue, SEAM_PILE *seam_pile, SEAM **seam, TBLOB *blob) | tesseract::Wordrec | |
| unichar_ambigs | tesseract::CCUtil | |
| unicharset | tesseract::CCUtil | |
| update_blob_classifications(TWERD *word, const BLOB_CHOICE_LIST_VECTOR &choices) | tesseract::Wordrec | |
| update_ratings(const BLOB_CHOICE_LIST_VECTOR &new_choices, const CHUNKS_RECORD *chunks_record, const SEARCH_STATE search_state) | tesseract::Wordrec | |
| UpdateAmbigsGroup(CLASS_ID class_id, const DENORM &denorm, TBLOB *Blob) | tesseract::Classify | |
| UpdateSegSearchNodes(int starting_col, SEG_SEARCH_PENDING_LIST *pending[], BestPathByColumn *best_path_by_column[], CHUNKS_RECORD *chunks_record, HEAP *pain_points, BestChoiceBundle *best_choice_bundle, BlamerBundle *blamer_bundle) | tesseract::Wordrec | [protected] |
| use_ambigs_for_adaption | tesseract::CCUtil | |
| use_definite_ambigs_for_classifier | tesseract::CCUtil | |
| use_new_state_cost | tesseract::Wordrec | |
| vertical_projection_point(EDGEPT *split_point, EDGEPT *target_point, EDGEPT **best_point, EDGEPT_CLIST *new_points) | tesseract::Wordrec | |
| width_priority(CHUNKS_RECORD *chunks_record, STATE *state, int num_joints) | tesseract::Wordrec | |
| word_associator(bool only_create_ratings_matrtix, WERD_RES *word, STATE *state, BLOB_CHOICE_LIST_VECTOR *best_char_choices, DANGERR *fixpt, STATE *best_state) | tesseract::Wordrec | |
| Wordrec() | tesseract::Wordrec | |
| wordrec_debug_blamer | tesseract::Wordrec | |
| wordrec_debug_level | tesseract::Wordrec | |
| wordrec_enable_assoc | tesseract::Wordrec | |
| wordrec_no_block | tesseract::Wordrec | |
| wordrec_num_seg_states | tesseract::Wordrec | |
| wordrec_run_blamer | tesseract::Wordrec | |
| wordrec_worst_state | tesseract::Wordrec | |
| WriteAdaptedTemplates(FILE *File, ADAPT_TEMPLATES Templates) | tesseract::Classify | |
| WriteIntTemplates(FILE *File, INT_TEMPLATES Templates, const UNICHARSET &target_unicharset) | tesseract::Classify | |
| ~CCStruct() | tesseract::CCStruct | |
| ~CCUtil() | tesseract::CCUtil | [virtual] |
| ~Classify() | tesseract::Classify | [virtual] |
| ~CUtil() | tesseract::CUtil | |
| ~Wordrec() | tesseract::Wordrec | [virtual] |
1.7.5.1 
