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select_feature_set_trainf_svm_protectedT_select_feature_set_trainf_svm_protectedSelectFeatureSetTrainfSvmProtectedselect_feature_set_trainf_svm_protectedSelectFeatureSetTrainfSvmProtectedSelectFeatureSetTrainfSvmProtected (Operator)

Name

select_feature_set_trainf_svm_protectedT_select_feature_set_trainf_svm_protectedSelectFeatureSetTrainfSvmProtectedselect_feature_set_trainf_svm_protectedSelectFeatureSetTrainfSvmProtectedSelectFeatureSetTrainfSvmProtected — Wählt aus (geschützten) Trainingsdateien die optimalen Merkmale für ein bestimmtes OCR-Klassifikationsproblem aus.

Signatur

select_feature_set_trainf_svm_protected( : : TrainingFile, Password, FeatureList, SelectionMethod, Width, Height, GenParamNames, GenParamValues : OCRHandle, FeatureSet, Score)

Herror T_select_feature_set_trainf_svm_protected(const Htuple TrainingFile, const Htuple Password, const Htuple FeatureList, const Htuple SelectionMethod, const Htuple Width, const Htuple Height, const Htuple GenParamNames, const Htuple GenParamValues, Htuple* OCRHandle, Htuple* FeatureSet, Htuple* Score)

Herror select_feature_set_trainf_svm_protected(const HTuple& TrainingFile, const HTuple& Password, const HTuple& FeatureList, const HTuple& SelectionMethod, const HTuple& Width, const HTuple& Height, const HTuple& GenParamNames, const HTuple& GenParamValues, HTuple* OCRHandle, HTuple* FeatureSet, HTuple* Score)

HTuple HOCRSvm::SelectFeatureSetTrainfSvmProtected(const HTuple& TrainingFile, const HTuple& Password, const HTuple& FeatureList, const HTuple& SelectionMethod, const HTuple& Width, const HTuple& Height, const HTuple& GenParamNames, const HTuple& GenParamValues, HTuple* Score)

void SelectFeatureSetTrainfSvmProtected(const HTuple& TrainingFile, const HTuple& Password, const HTuple& FeatureList, const HTuple& SelectionMethod, const HTuple& Width, const HTuple& Height, const HTuple& GenParamNames, const HTuple& GenParamValues, HTuple* OCRHandle, HTuple* FeatureSet, HTuple* Score)

HTuple HOCRSvm::SelectFeatureSetTrainfSvmProtected(const HTuple& TrainingFile, const HTuple& Password, const HTuple& FeatureList, const HString& SelectionMethod, Hlong Width, Hlong Height, const HTuple& GenParamNames, const HTuple& GenParamValues, HTuple* Score)

HTuple HOCRSvm::SelectFeatureSetTrainfSvmProtected(const HString& TrainingFile, const HString& Password, const HString& FeatureList, const HString& SelectionMethod, Hlong Width, Hlong Height, const HString& GenParamNames, double GenParamValues, HTuple* Score)

HTuple HOCRSvm::SelectFeatureSetTrainfSvmProtected(const char* TrainingFile, const char* Password, const char* FeatureList, const char* SelectionMethod, Hlong Width, Hlong Height, const char* GenParamNames, double GenParamValues, HTuple* Score)

void HOperatorSetX.SelectFeatureSetTrainfSvmProtected(
[in] VARIANT TrainingFile, [in] VARIANT Password, [in] VARIANT FeatureList, [in] VARIANT SelectionMethod, [in] VARIANT Width, [in] VARIANT Height, [in] VARIANT GenParamNames, [in] VARIANT GenParamValues, [out] VARIANT* OCRHandle, [out] VARIANT* FeatureSet, [out] VARIANT* Score)

VARIANT HOCRSvmX.SelectFeatureSetTrainfSvmProtected(
[in] VARIANT TrainingFile, [in] VARIANT Password, [in] VARIANT FeatureList, [in] BSTR SelectionMethod, [in] Hlong Width, [in] Hlong Height, [in] VARIANT GenParamNames, [in] VARIANT GenParamValues, [out] VARIANT* Score)

static void HOperatorSet.SelectFeatureSetTrainfSvmProtected(HTuple trainingFile, HTuple password, HTuple featureList, HTuple selectionMethod, HTuple width, HTuple height, HTuple genParamNames, HTuple genParamValues, out HTuple OCRHandle, out HTuple featureSet, out HTuple score)

HTuple HOCRSvm.SelectFeatureSetTrainfSvmProtected(HTuple trainingFile, HTuple password, HTuple featureList, string selectionMethod, int width, int height, HTuple genParamNames, HTuple genParamValues, out HTuple score)

HTuple HOCRSvm.SelectFeatureSetTrainfSvmProtected(string trainingFile, string password, string featureList, string selectionMethod, int width, int height, string genParamNames, double genParamValues, out HTuple score)

Beschreibung

select_feature_set_trainf_svm_protectedselect_feature_set_trainf_svm_protectedSelectFeatureSetTrainfSvmProtectedselect_feature_set_trainf_svm_protectedSelectFeatureSetTrainfSvmProtectedSelectFeatureSetTrainfSvmProtected wählt die optimalen Merkmale für ein bestimmtes OCR-Klassifikationsproblem aus. Die Daten für das OCR-Klassifikationsproblem werden mit der Trainingsdatei TrainingFileTrainingFileTrainingFileTrainingFileTrainingFiletrainingFile ausgewählt. Als Klassifikator wird eine Support-Vektor-Maschine (SVM) verwendet.

Die Funktionalität des Operators entspricht der Funktionalität von select_feature_set_trainf_svmselect_feature_set_trainf_svmSelectFeatureSetTrainfSvmselect_feature_set_trainf_svmSelectFeatureSetTrainfSvmSelectFeatureSetTrainfSvm, mit der Erweiterung, dass select_feature_set_trainf_svm_protectedselect_feature_set_trainf_svm_protectedSelectFeatureSetTrainfSvmProtectedselect_feature_set_trainf_svm_protectedSelectFeatureSetTrainfSvmProtectedSelectFeatureSetTrainfSvmProtected 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 TrainingFileTrainingFileTrainingFileTrainingFileTrainingFiletrainingFile 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_svmselect_feature_set_trainf_svmSelectFeatureSetTrainfSvmselect_feature_set_trainf_svmSelectFeatureSetTrainfSvmSelectFeatureSetTrainfSvm. Das Konzept des Schützens von OCR-Trainingsdaten in HALCON ist in protect_ocr_trainfprotect_ocr_trainfProtectOcrTrainfprotect_ocr_trainfProtectOcrTrainfProtectOcrTrainf 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_svm_protectedselect_feature_set_trainf_svm_protectedSelectFeatureSetTrainfSvmProtectedselect_feature_set_trainf_svm_protectedSelectFeatureSetTrainfSvmProtectedSelectFeatureSetTrainfSvmProtected zwar einerseits einen Klassifikator mit sehr hohem Score liefern. Andererseits weist der Klassifikator jedoch eine schlechte Erkennugsrate auf, wenn dieser getestet wird.

Parallelisierung

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

TrainingFileTrainingFileTrainingFileTrainingFileTrainingFiletrainingFile (input_control)  filename.read(-array) → HTupleHTupleHTupleVARIANTHtuple (string) (string) (HString) (char*) (BSTR) (char*)

Namen der Trainingsdateien.

Defaultwert: '' "" "" "" "" ""

Dateiendung: .trf, .otr

PasswordPasswordPasswordPasswordPasswordpassword (input_control)  string(-array) → HTupleHTupleHTupleVARIANTHtuple (string) (string) (HString) (char*) (BSTR) (char*)

Passworte für geschützte Trainingsdateien.

FeatureListFeatureListFeatureListFeatureListFeatureListfeatureList (input_control)  string(-array) → HTupleHTupleHTupleVARIANTHtuple (string) (string) (HString) (char*) (BSTR) (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"

SelectionMethodSelectionMethodSelectionMethodSelectionMethodSelectionMethodselectionMethod (input_control)  string → HTupleHTupleHTupleVARIANTHtuple (string) (string) (HString) (char*) (BSTR) (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 → HTupleHTupleHTupleVARIANTHtuple (integer) (int / long) (Hlong) (Hlong) (Hlong) (Hlong)

Breite des Rechtecks, auf die die Grauwerte des segmentierten Zeichens skaliert werden.

Defaultwert: 15

HeightHeightHeightHeightHeightheight (input_control)  integer → HTupleHTupleHTupleVARIANTHtuple (integer) (int / long) (Hlong) (Hlong) (Hlong) (Hlong)

Höhe des Rechtecks, auf die die Grauwerte des segmentierten Zeichens skaliert werden.

Defaultwert: 16

GenParamNamesGenParamNamesGenParamNamesGenParamNamesGenParamNamesgenParamNames (input_control)  string(-array) → HTupleHTupleHTupleVARIANTHtuple (string) (string) (HString) (char*) (BSTR) (char*)

Namen von (optionalen) Parametern für die Steuerung des Verhaltens verwendeten des SVMs.

Defaultwert: []

Werteliste: 'gamma'"gamma""gamma""gamma""gamma""gamma", 'nu'"nu""nu""nu""nu""nu"

GenParamValuesGenParamValuesGenParamValuesGenParamValuesGenParamValuesgenParamValues (input_control)  number(-array) → HTupleHTupleHTupleVARIANTHtuple (real / integer / string) (double / int / long / string) (double / Hlong / HString) (double / Hlong / char*) (double / Hlong / BSTR) (double / Hlong / char*)

Zu den optionalen generischen Parametern gehörende Werte.

Defaultwert: []

Wertevorschläge: 'auto'"auto""auto""auto""auto""auto", '0.1'"0.1""0.1""0.1""0.1""0.1", '0.3'"0.3""0.3""0.3""0.3""0.3"

OCRHandleOCRHandleOCRHandleOCRHandleOCRHandleOCRHandle (output_control)  ocr_svm → HOCRSvm, HTupleHTupleHOCRSvm, HTupleHOCRSvmX, VARIANTHtuple (integer) (IntPtr) (Hlong) (Hlong) (Hlong) (Hlong)

Mit den selektierten Merkmalen trainierter SVM-Klassifikator für OCR.

FeatureSetFeatureSetFeatureSetFeatureSetFeatureSetfeatureSet (output_control)  string-array → HTupleHTupleHTupleVARIANTHtuple (string) (string) (HString) (char*) (BSTR) (char*)

Ausgewählten Merkmale.

ScoreScoreScoreScoreScorescore (output_control)  real-array → HTupleHTupleHTupleVARIANTHtuple (real) (double) (double) (double) (double) (double)

Klassifikationsrate, die mit dem ausgewählten Merkmalssatz erreicht wurde.

Ergebnis

Sind die Parameterwerte korrekt, dann liefert select_feature_set_trainf_svm_protectedselect_feature_set_trainf_svm_protectedSelectFeatureSetTrainfSvmProtectedselect_feature_set_trainf_svm_protectedSelectFeatureSetTrainfSvmProtectedSelectFeatureSetTrainfSvmProtected den Wert 2 (H_MSG_TRUE). Gegebenenfalls wird eine Fehlerbehandlung durchgeführt.

Vorgänger

protect_ocr_trainfprotect_ocr_trainfProtectOcrTrainfprotect_ocr_trainfProtectOcrTrainfProtectOcrTrainf

Alternativen

select_feature_set_trainf_mlp_protectedselect_feature_set_trainf_mlp_protectedSelectFeatureSetTrainfMlpProtectedselect_feature_set_trainf_mlp_protectedSelectFeatureSetTrainfMlpProtectedSelectFeatureSetTrainfMlpProtected

Siehe auch

select_feature_set_trainf_svmselect_feature_set_trainf_svmSelectFeatureSetTrainfSvmselect_feature_set_trainf_svmSelectFeatureSetTrainfSvmSelectFeatureSetTrainfSvm, select_feature_set_svmselect_feature_set_svmSelectFeatureSetSvmselect_feature_set_svmSelectFeatureSetSvmSelectFeatureSetSvm

Modul

OCR/OCV

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