select_feature_set_trainf_mlp_protectedT_select_feature_set_trainf_mlp_protectedSelectFeatureSetTrainfMlpProtectedSelectFeatureSetTrainfMlpProtectedselect_feature_set_trainf_mlp_protected (Operator)
Name
select_feature_set_trainf_mlp_protectedT_select_feature_set_trainf_mlp_protectedSelectFeatureSetTrainfMlpProtectedSelectFeatureSetTrainfMlpProtectedselect_feature_set_trainf_mlp_protected — Wählt aus (geschützten) Trainingsdateien die optimalen Merkmale für ein
bestimmtes OCR-Klassifikationsproblem aus.
Signatur
Herror T_select_feature_set_trainf_mlp_protected(const Htuple TrainingFile, const Htuple Password, const Htuple FeatureList, const Htuple SelectionMethod, const Htuple Width, const Htuple Height, const Htuple GenParamName, const Htuple GenParamValue, Htuple* OCRHandle, Htuple* FeatureSet, Htuple* Score)
void SelectFeatureSetTrainfMlpProtected(const HTuple& TrainingFile, const HTuple& Password, const HTuple& FeatureList, const HTuple& SelectionMethod, const HTuple& Width, const HTuple& Height, const HTuple& GenParamName, const HTuple& GenParamValue, HTuple* OCRHandle, HTuple* FeatureSet, HTuple* Score)
HTuple HOCRMlp::SelectFeatureSetTrainfMlpProtected(const HTuple& TrainingFile, const HTuple& Password, const HTuple& FeatureList, const HString& SelectionMethod, Hlong Width, Hlong Height, const HTuple& GenParamName, const HTuple& GenParamValue, HTuple* Score)
HTuple HOCRMlp::SelectFeatureSetTrainfMlpProtected(const HString& TrainingFile, const HString& Password, const HString& FeatureList, const HString& SelectionMethod, Hlong Width, Hlong Height, const HTuple& GenParamName, const HTuple& GenParamValue, HTuple* Score)
HTuple HOCRMlp::SelectFeatureSetTrainfMlpProtected(const char* TrainingFile, const char* Password, const char* FeatureList, const char* SelectionMethod, Hlong Width, Hlong Height, const HTuple& GenParamName, const HTuple& GenParamValue, HTuple* Score)
HTuple HOCRMlp::SelectFeatureSetTrainfMlpProtected(const wchar_t* TrainingFile, const wchar_t* Password, const wchar_t* FeatureList, const wchar_t* SelectionMethod, Hlong Width, Hlong Height, const HTuple& GenParamName, const HTuple& GenParamValue, HTuple* Score)
(Nur Windows)
static void HOperatorSet.SelectFeatureSetTrainfMlpProtected(HTuple trainingFile, HTuple password, HTuple featureList, HTuple selectionMethod, HTuple width, HTuple height, HTuple genParamName, HTuple genParamValue, out HTuple OCRHandle, out HTuple featureSet, out HTuple score)
HTuple HOCRMlp.SelectFeatureSetTrainfMlpProtected(HTuple trainingFile, HTuple password, HTuple featureList, string selectionMethod, int width, int height, HTuple genParamName, HTuple genParamValue, out HTuple score)
HTuple HOCRMlp.SelectFeatureSetTrainfMlpProtected(string trainingFile, string password, string featureList, string selectionMethod, int width, int height, HTuple genParamName, HTuple genParamValue, out HTuple score)
def select_feature_set_trainf_mlp_protected(training_file: MaybeSequence[str], password: MaybeSequence[str], feature_list: MaybeSequence[str], selection_method: str, width: int, height: int, gen_param_name: Sequence[str], gen_param_value: Sequence[Union[int, str, float]]) -> Tuple[HHandle, Sequence[str], Sequence[float]]
Beschreibung
select_feature_set_trainf_mlp_protectedselect_feature_set_trainf_mlp_protectedSelectFeatureSetTrainfMlpProtectedSelectFeatureSetTrainfMlpProtectedSelectFeatureSetTrainfMlpProtectedselect_feature_set_trainf_mlp_protected wählt die optimalen Merkmale
für ein bestimmtes OCR-Klassifikationsproblem aus.
Die Daten für das OCR-Klassifikationsproblem werden mit der Trainingsdatei
TrainingFileTrainingFileTrainingFileTrainingFiletrainingFiletraining_file ausgewählt. Als Klassifikator wird ein
mehrschichtiges Perzeptron (MLP) verwendet.
Die Funktionalität des Operators entspricht der Funktionalität
von select_feature_set_trainf_mlpselect_feature_set_trainf_mlpSelectFeatureSetTrainfMlpSelectFeatureSetTrainfMlpSelectFeatureSetTrainfMlpselect_feature_set_trainf_mlp, mit der Erweiterung, dass
select_feature_set_trainf_mlp_protectedselect_feature_set_trainf_mlp_protectedSelectFeatureSetTrainfMlpProtectedSelectFeatureSetTrainfMlpProtectedSelectFeatureSetTrainfMlpProtectedselect_feature_set_trainf_mlp_protected sowohl ungeschützte als auch
geschützte Trainingsdateien verarbeiten kann. Geschützte
Trainingsdateien können nur mit dem korrekten Benutzerpasswort
PasswordPasswordPasswordPasswordpasswordpassword verwendet werden. Falls genau ein Passwort
PasswordPasswordPasswordPasswordpasswordpassword übergeben wird, werden alle Eingabedateien
TrainingFileTrainingFileTrainingFileTrainingFiletrainingFiletraining_file mit diesem Passwort überprüft, ansonsten muss
die Anzahl der Passworte gleich der Anzahl der Eingabedateien sein,
und die Eingabedatei an Position n wird mit dem Passwort an Position
n überprüft. Für ungeschützte Trainingsdateien werden die
übergebenen Passworte ignoriert.
Für eine genauere Beschreibung der Operatorfunktionalität siehe
select_feature_set_trainf_mlpselect_feature_set_trainf_mlpSelectFeatureSetTrainfMlpSelectFeatureSetTrainfMlpSelectFeatureSetTrainfMlpselect_feature_set_trainf_mlp. Das Konzept des Schützens von
OCR-Trainingsdaten in HALCON ist in protect_ocr_trainfprotect_ocr_trainfProtectOcrTrainfProtectOcrTrainfProtectOcrTrainfprotect_ocr_trainf
beschrieben.
Achtung
Die Laufzeit dieses Operators kann mit größeren Datensätzen und einer
längeren Merkmalsliste unter Umständen sehr lang sein.
Es ist zu beachten, dass dieser Operator nicht aufgerufen werden sollte,
wenn für das Training nur ein kleiner Datensatz verfügbar ist.
Auf Grund des Risikos der Überanpassung kann der Operator
select_feature_set_trainf_mlp_protectedselect_feature_set_trainf_mlp_protectedSelectFeatureSetTrainfMlpProtectedSelectFeatureSetTrainfMlpProtectedSelectFeatureSetTrainfMlpProtectedselect_feature_set_trainf_mlp_protected zwar einerseits einen
Klassifikator mit sehr hohem Score liefern. Andererseits weist der
Klassifikator jedoch eine schlechte Erkennungsrate auf, wenn dieser getestet
wird.
Ausführungsinformationen
- Multithreading-Typ: reentrant (läuft parallel zu nicht-exklusiven Operatoren).
- Multithreading-Bereich: global (kann von jedem Thread aufgerufen werden).
- Automatisch parallelisiert auf interner Datenebene.
Dieser Operator liefert ein Handle zurück. Es ist zu beachten, dass der Zustand einer Instanz dieses Handletyps durch bestimmte Operatoren geändert werden kann, obwohl das Handle als Eingabeparameter in diesen Operatoren verwendet wird.
Parameter
TrainingFileTrainingFileTrainingFileTrainingFiletrainingFiletraining_file (input_control) filename.read(-array) → HTupleMaybeSequence[str]HTupleHtuple (string) (string) (HString) (char*)
Namen der Trainingsdateien.
Defaultwert:
''
""
""
""
""
""
Dateiendung: .trf, .otr
PasswordPasswordPasswordPasswordpasswordpassword (input_control) string(-array) → HTupleMaybeSequence[str]HTupleHtuple (string) (string) (HString) (char*)
Passworte für geschützte Trainingsdateien.
FeatureListFeatureListFeatureListFeatureListfeatureListfeature_list (input_control) string(-array) → HTupleMaybeSequence[str]HTupleHtuple (string) (string) (HString) (char*)
Merkmale, die zur Klassifikation verwendet werden können.
Defaultwert:
['zoom_factor','ratio','width','height','foreground','foreground_grid_9','foreground_grid_16','anisometry','compactness','convexity','moments_region_2nd_invar','moments_region_2nd_rel_invar','moments_region_3rd_invar','moments_central','phi','num_connect','num_holes','projection_horizontal','projection_vertical','projection_horizontal_invar','projection_vertical_invar','chord_histo','num_runs','pixel','pixel_invar','pixel_binary','gradient_8dir','cooc','moments_gray_plane']
["zoom_factor","ratio","width","height","foreground","foreground_grid_9","foreground_grid_16","anisometry","compactness","convexity","moments_region_2nd_invar","moments_region_2nd_rel_invar","moments_region_3rd_invar","moments_central","phi","num_connect","num_holes","projection_horizontal","projection_vertical","projection_horizontal_invar","projection_vertical_invar","chord_histo","num_runs","pixel","pixel_invar","pixel_binary","gradient_8dir","cooc","moments_gray_plane"]
["zoom_factor","ratio","width","height","foreground","foreground_grid_9","foreground_grid_16","anisometry","compactness","convexity","moments_region_2nd_invar","moments_region_2nd_rel_invar","moments_region_3rd_invar","moments_central","phi","num_connect","num_holes","projection_horizontal","projection_vertical","projection_horizontal_invar","projection_vertical_invar","chord_histo","num_runs","pixel","pixel_invar","pixel_binary","gradient_8dir","cooc","moments_gray_plane"]
["zoom_factor","ratio","width","height","foreground","foreground_grid_9","foreground_grid_16","anisometry","compactness","convexity","moments_region_2nd_invar","moments_region_2nd_rel_invar","moments_region_3rd_invar","moments_central","phi","num_connect","num_holes","projection_horizontal","projection_vertical","projection_horizontal_invar","projection_vertical_invar","chord_histo","num_runs","pixel","pixel_invar","pixel_binary","gradient_8dir","cooc","moments_gray_plane"]
["zoom_factor","ratio","width","height","foreground","foreground_grid_9","foreground_grid_16","anisometry","compactness","convexity","moments_region_2nd_invar","moments_region_2nd_rel_invar","moments_region_3rd_invar","moments_central","phi","num_connect","num_holes","projection_horizontal","projection_vertical","projection_horizontal_invar","projection_vertical_invar","chord_histo","num_runs","pixel","pixel_invar","pixel_binary","gradient_8dir","cooc","moments_gray_plane"]
["zoom_factor","ratio","width","height","foreground","foreground_grid_9","foreground_grid_16","anisometry","compactness","convexity","moments_region_2nd_invar","moments_region_2nd_rel_invar","moments_region_3rd_invar","moments_central","phi","num_connect","num_holes","projection_horizontal","projection_vertical","projection_horizontal_invar","projection_vertical_invar","chord_histo","num_runs","pixel","pixel_invar","pixel_binary","gradient_8dir","cooc","moments_gray_plane"]
Werteliste: 'anisometry'"anisometry""anisometry""anisometry""anisometry""anisometry", 'chord_histo'"chord_histo""chord_histo""chord_histo""chord_histo""chord_histo", 'compactness'"compactness""compactness""compactness""compactness""compactness", 'convexity'"convexity""convexity""convexity""convexity""convexity", 'cooc'"cooc""cooc""cooc""cooc""cooc", 'default'"default""default""default""default""default", 'foreground'"foreground""foreground""foreground""foreground""foreground", 'foreground_grid_16'"foreground_grid_16""foreground_grid_16""foreground_grid_16""foreground_grid_16""foreground_grid_16", 'foreground_grid_9'"foreground_grid_9""foreground_grid_9""foreground_grid_9""foreground_grid_9""foreground_grid_9", 'gradient_8dir'"gradient_8dir""gradient_8dir""gradient_8dir""gradient_8dir""gradient_8dir", 'height'"height""height""height""height""height", 'moments_central'"moments_central""moments_central""moments_central""moments_central""moments_central", 'moments_gray_plane'"moments_gray_plane""moments_gray_plane""moments_gray_plane""moments_gray_plane""moments_gray_plane", 'moments_region_2nd_invar'"moments_region_2nd_invar""moments_region_2nd_invar""moments_region_2nd_invar""moments_region_2nd_invar""moments_region_2nd_invar", 'moments_region_2nd_rel_invar'"moments_region_2nd_rel_invar""moments_region_2nd_rel_invar""moments_region_2nd_rel_invar""moments_region_2nd_rel_invar""moments_region_2nd_rel_invar", 'moments_region_3rd_invar'"moments_region_3rd_invar""moments_region_3rd_invar""moments_region_3rd_invar""moments_region_3rd_invar""moments_region_3rd_invar", 'num_connect'"num_connect""num_connect""num_connect""num_connect""num_connect", 'num_holes'"num_holes""num_holes""num_holes""num_holes""num_holes", 'num_runs'"num_runs""num_runs""num_runs""num_runs""num_runs", 'phi'"phi""phi""phi""phi""phi", 'pixel'"pixel""pixel""pixel""pixel""pixel", 'pixel_binary'"pixel_binary""pixel_binary""pixel_binary""pixel_binary""pixel_binary", 'pixel_invar'"pixel_invar""pixel_invar""pixel_invar""pixel_invar""pixel_invar", 'projection_horizontal'"projection_horizontal""projection_horizontal""projection_horizontal""projection_horizontal""projection_horizontal", 'projection_horizontal_invar'"projection_horizontal_invar""projection_horizontal_invar""projection_horizontal_invar""projection_horizontal_invar""projection_horizontal_invar", 'projection_vertical'"projection_vertical""projection_vertical""projection_vertical""projection_vertical""projection_vertical", 'projection_vertical_invar'"projection_vertical_invar""projection_vertical_invar""projection_vertical_invar""projection_vertical_invar""projection_vertical_invar", 'ratio'"ratio""ratio""ratio""ratio""ratio", 'width'"width""width""width""width""width", 'zoom_factor'"zoom_factor""zoom_factor""zoom_factor""zoom_factor""zoom_factor"
SelectionMethodSelectionMethodSelectionMethodSelectionMethodselectionMethodselection_method (input_control) string → HTuplestrHTupleHtuple (string) (string) (HString) (char*)
Methode zur Auswahl der Merkmale.
Defaultwert:
'greedy'
"greedy"
"greedy"
"greedy"
"greedy"
"greedy"
Werteliste: 'greedy'"greedy""greedy""greedy""greedy""greedy", 'greedy_oscillating'"greedy_oscillating""greedy_oscillating""greedy_oscillating""greedy_oscillating""greedy_oscillating"
WidthWidthWidthWidthwidthwidth (input_control) integer → HTupleintHTupleHtuple (integer) (int / long) (Hlong) (Hlong)
Breite des Rechtecks, auf die die Grauwerte des
segmentierten Zeichens skaliert werden.
Defaultwert: 15
HeightHeightHeightHeightheightheight (input_control) integer → HTupleintHTupleHtuple (integer) (int / long) (Hlong) (Hlong)
Höhe des Rechtecks, auf die die Grauwerte des
segmentierten Zeichens skaliert werden.
Defaultwert: 16
GenParamNameGenParamNameGenParamNameGenParamNamegenParamNamegen_param_name (input_control) string-array → HTupleSequence[str]HTupleHtuple (string) (string) (HString) (char*)
Namen von (optionalen) Parametern für
die Steuerung des Verhaltens des verwendeten
MLP Klassifikators.
Defaultwert: []
Werteliste: 'nu'"nu""nu""nu""nu""nu"
GenParamValueGenParamValueGenParamValueGenParamValuegenParamValuegen_param_value (input_control) number-array → HTupleSequence[Union[int, str, float]]HTupleHtuple (real / integer / string) (double / int / long / string) (double / Hlong / HString) (double / Hlong / char*)
Zu den optionalen generischen
Parametern gehörende Werte.
Defaultwert: []
Wertevorschläge: '0.1'"0.1""0.1""0.1""0.1""0.1"
OCRHandleOCRHandleOCRHandleOCRHandleOCRHandleocrhandle (output_control) ocr_mlp → HOCRMlp, HTupleHHandleHTupleHtuple (handle) (IntPtr) (HHandle) (handle)
Mit den ausgewählten Merkmalen trainierter
OCR-MLP-Klassifikator.
FeatureSetFeatureSetFeatureSetFeatureSetfeatureSetfeature_set (output_control) string-array → HTupleSequence[str]HTupleHtuple (string) (string) (HString) (char*)
Ausgewählte Merkmale.
ScoreScoreScoreScorescorescore (output_control) real-array → HTupleSequence[float]HTupleHtuple (real) (double) (double) (double)
Klassifikationsrate, die mit dem ausgewählten
Merkmalssatz erreicht wurde.
Ergebnis
Sind die Parameterwerte korrekt, dann liefert
select_feature_set_trainf_mlp_protectedselect_feature_set_trainf_mlp_protectedSelectFeatureSetTrainfMlpProtectedSelectFeatureSetTrainfMlpProtectedSelectFeatureSetTrainfMlpProtectedselect_feature_set_trainf_mlp_protected den Wert TRUE.
Gegebenenfalls wird eine Fehlerbehandlung durchgeführt.
Vorgänger
protect_ocr_trainfprotect_ocr_trainfProtectOcrTrainfProtectOcrTrainfProtectOcrTrainfprotect_ocr_trainf
Alternativen
select_feature_set_trainf_svm_protectedselect_feature_set_trainf_svm_protectedSelectFeatureSetTrainfSvmProtectedSelectFeatureSetTrainfSvmProtectedSelectFeatureSetTrainfSvmProtectedselect_feature_set_trainf_svm_protected
Siehe auch
select_feature_set_trainf_mlpselect_feature_set_trainf_mlpSelectFeatureSetTrainfMlpSelectFeatureSetTrainfMlpSelectFeatureSetTrainfMlpselect_feature_set_trainf_mlp,
select_feature_set_mlpselect_feature_set_mlpSelectFeatureSetMlpSelectFeatureSetMlpSelectFeatureSetMlpselect_feature_set_mlp
Modul
OCR/OCV