HALCON Reference Manual 10.0.2
Table of Contents / OCR / Support Vector Machines ClassesClassesClasses | | | Operators

trainf_ocr_class_svmtrainf_ocr_class_svmtrainf_ocr_class_svmTrainfOcrClassSvmTrainfOcrClassSvm (Operator)

Name

trainf_ocr_class_svmtrainf_ocr_class_svmtrainf_ocr_class_svmTrainfOcrClassSvmTrainfOcrClassSvm — Train an OCR classifier.

Signature

trainf_ocr_class_svm( : : OCRHandle, TrainingFile, Epsilon, TrainMode : )

Herror trainf_ocr_class_svm(const Hlong OCRHandle, const char* TrainingFile, double Epsilon, const char* TrainMode)

Herror T_trainf_ocr_class_svm(const Htuple OCRHandle, const Htuple TrainingFile, const Htuple Epsilon, const Htuple TrainMode)

Herror trainf_ocr_class_svm(const HTuple& OCRHandle, const HTuple& TrainingFile, const HTuple& Epsilon, const HTuple& TrainMode)

void HOCRSvm::TrainfOcrClassSvm(const HTuple& TrainingFile, const HTuple& Epsilon, const HTuple& TrainMode) const

void HOperatorSetX.TrainfOcrClassSvm(
[in] VARIANT OCRHandle, [in] VARIANT TrainingFile, [in] VARIANT Epsilon, [in] VARIANT TrainMode)

void HOCRSvmX.TrainfOcrClassSvm(
[in] VARIANT TrainingFile, [in] double Epsilon, [in] VARIANT TrainMode)

static void HOperatorSet.TrainfOcrClassSvm(HTuple OCRHandle, HTuple trainingFile, HTuple epsilon, HTuple trainMode)

void HOCRSvm.TrainfOcrClassSvm(HTuple trainingFile, double epsilon, HTuple trainMode)

void HOCRSvm.TrainfOcrClassSvm(string trainingFile, double epsilon, string trainMode)

Description

trainf_ocr_class_svmtrainf_ocr_class_svmtrainf_ocr_class_svmTrainfOcrClassSvmTrainfOcrClassSvm trains the OCR classifier OCRHandleOCRHandleOCRHandleOCRHandleOCRHandle with the training characters stored in the OCR training files given by TrainingFileTrainingFileTrainingFileTrainingFiletrainingFile. The training files must have been created, e.g., using write_ocr_trainfwrite_ocr_trainfwrite_ocr_trainfWriteOcrTrainfWriteOcrTrainf, before calling trainf_ocr_class_svmtrainf_ocr_class_svmtrainf_ocr_class_svmTrainfOcrClassSvmTrainfOcrClassSvm. The parameters EpsilonEpsilonEpsilonEpsilonepsilon and TrainModeTrainModeTrainModeTrainModetrainMode have the same meaning as in train_class_svmtrain_class_svmtrain_class_svmTrainClassSvmTrainClassSvm. Please, note that training characters that have no corresponding class in the classifier OCRHandleOCRHandleOCRHandleOCRHandleOCRHandle are discarded.

Parallelization

Parameters

OCRHandleOCRHandleOCRHandleOCRHandleOCRHandle (input_control)  ocr_svm → HOCRSvm, HTupleHOCRSvm, HTupleHOCRSvmX, VARIANTHtuple (integer) (IntPtr) (Hlong) (Hlong) (Hlong)

Handle of the OCR classifier.

TrainingFileTrainingFileTrainingFileTrainingFiletrainingFile (input_control)  filename.read(-array) → HTupleHTupleVARIANTHtuple (string) (string) (char*) (BSTR) (char*)

Name(s) of the training file(s).

Default value: 'ocr.trf' "ocr.trf" "ocr.trf" "ocr.trf" "ocr.trf"

File extension: .trf

EpsilonEpsilonEpsilonEpsilonepsilon (input_control)  real → HTupleHTupleVARIANTHtuple (real) (double) (double) (double) (double)

Stop parameter for training.

Default value: 0.001

Suggested values: 0.00001, 0.0001, 0.001, 0.01, 0.1

TrainModeTrainModeTrainModeTrainModetrainMode (input_control)  number → HTupleHTupleVARIANTHtuple (string / integer) (string / int / long) (char* / Hlong) (BSTR / Hlong) (char* / Hlong)

Mode of training.

Default value: 'default' "default" "default" "default" "default"

List of values: 'default'"default""default""default""default", 'add_sv_to_train_set'"add_sv_to_train_set""add_sv_to_train_set""add_sv_to_train_set""add_sv_to_train_set"

Example (HDevelop)

* Train an OCR classifier
read_ocr_trainf_names ('ocr.trf', CharacterNames, CharacterCount)
create_ocr_class_svm (8, 10, 'constant', 'default', CharacterNames, \
                      'rbf', 0.01, 0.01, 'one-versus-one', \
                      'normalization', 81, OCRHandle)
trainf_ocr_class_svm (OCRHandle, 'ocr.trf', 0.001, 'default')
write_ocr_class_svm (OCRHandle, 'ocr.osc')
clear_ocr_class_svm (OCRHandle)

Result

If the parameters are valid the operator trainf_ocr_class_svmtrainf_ocr_class_svmtrainf_ocr_class_svmTrainfOcrClassSvmTrainfOcrClassSvm returns the value 2 (H_MSG_TRUE). If necessary, an exception is raised.

trainf_ocr_class_svmtrainf_ocr_class_svmtrainf_ocr_class_svmTrainfOcrClassSvmTrainfOcrClassSvm may return the error 9211 (Matrix is not positive definite) if Preprocessing = 'canonical_variates'"canonical_variates""canonical_variates""canonical_variates""canonical_variates" is used. This typically indicates that not enough training samples have been stored for each class. In this case we recommend to change Preprocessing to 'normalization'"normalization""normalization""normalization""normalization". Another solution can be to add more training samples.

Possible Predecessors

create_ocr_class_svmcreate_ocr_class_svmcreate_ocr_class_svmCreateOcrClassSvmCreateOcrClassSvm, write_ocr_trainfwrite_ocr_trainfwrite_ocr_trainfWriteOcrTrainfWriteOcrTrainf, append_ocr_trainfappend_ocr_trainfappend_ocr_trainfAppendOcrTrainfAppendOcrTrainf, write_ocr_trainf_imagewrite_ocr_trainf_imagewrite_ocr_trainf_imageWriteOcrTrainfImageWriteOcrTrainfImage

Possible Successors

do_ocr_single_class_svmdo_ocr_single_class_svmdo_ocr_single_class_svmDoOcrSingleClassSvmDoOcrSingleClassSvm, do_ocr_multi_class_svmdo_ocr_multi_class_svmdo_ocr_multi_class_svmDoOcrMultiClassSvmDoOcrMultiClassSvm, write_ocr_class_svmwrite_ocr_class_svmwrite_ocr_class_svmWriteOcrClassSvmWriteOcrClassSvm

Alternatives

read_ocr_class_svmread_ocr_class_svmread_ocr_class_svmReadOcrClassSvmReadOcrClassSvm

See also

train_class_svmtrain_class_svmtrain_class_svmTrainClassSvmTrainClassSvm

Module

OCR/OCV

Table of Contents / OCR / Support Vector Machines ClassesClassesClasses | | | Operators
HALCON Reference Manual 10.0.2 Copyright © 1996-2011 MVTec Software GmbH