get_features_ocr_class_knnGetFeaturesOcrClassKnnGetFeaturesOcrClassKnnget_features_ocr_class_knnT_get_features_ocr_class_knn

HALCON ScriptCpp++.NETPythonC

Short description

get_features_ocr_class_knnGetFeaturesOcrClassKnnGetFeaturesOcrClassKnnget_features_ocr_class_knnT_get_features_ocr_class_knn — Compute the features of a character.

Signature

get_features_ocr_class_knn( image Character, ocr_knn OCRHandle, string Transform, out real Features )void GetFeaturesOcrClassKnn( const HObject& Character, const HTuple& OCRHandle, const HTuple& Transform, HTuple* Features )static void HOperatorSet.GetFeaturesOcrClassKnn( HObject character, HTuple OCRHandle, HTuple transform, out HTuple features )def get_features_ocr_class_knn( character: HObject, ocrhandle: HHandle, transform: str ) -> Sequence[float]

Herror T_get_features_ocr_class_knn( const Hobject Character, const Htuple OCRHandle, const Htuple Transform, Htuple* Features )

HTuple HImage::GetFeaturesOcrClassKnn( const HOCRKnn& OCRHandle, const HString& Transform ) const

HTuple HImage::GetFeaturesOcrClassKnn( const HOCRKnn& OCRHandle, const char* Transform ) const

HTuple HImage::GetFeaturesOcrClassKnn( const HOCRKnn& OCRHandle, const wchar_t* Transform ) const (Windows only)

HTuple HOCRKnn::GetFeaturesOcrClassKnn( const HImage& Character, const HString& Transform ) const

HTuple HOCRKnn::GetFeaturesOcrClassKnn( const HImage& Character, const char* Transform ) const

HTuple HOCRKnn::GetFeaturesOcrClassKnn( const HImage& Character, const wchar_t* Transform ) const (Windows only)

HTuple HImage.GetFeaturesOcrClassKnn( HOCRKnn OCRHandle, string transform )

HTuple HOCRKnn.GetFeaturesOcrClassKnn( HImage character, string transform )

Description

get_features_ocr_class_knnGetFeaturesOcrClassKnn computes the features of the character given by Charactercharactercharacter with the k-NN classifier OCRHandleOCRHandleocrhandle and returns them in Featuresfeaturesfeatures. In contrast to do_ocr_single_class_knnDoOcrSingleClassKnn and do_ocr_multi_class_knnDoOcrMultiClassKnn, the character is passed as a single image object. Hence, before calling get_features_ocr_class_knnGetFeaturesOcrClassKnn, reduce_domainReduceDomain must typically be called. The parameter Transformtransformtransform determines whether the feature transformation specified with Preprocessingpreprocessingpreprocessing in create_ocr_class_knnCreateOcrClassKnn for the classifier should be applied (Transformtransformtransform \(=\) 'true'"true") or whether the untransformed features should be returned (Transformtransformtransform \(=\) 'false'"false"). get_features_ocr_class_knnGetFeaturesOcrClassKnn can be used to inspect the features that are used for the classification.

Execution information

Execution information

• Multithreading type: reentrant (runs in parallel with non-exclusive operators).

• Multithreading scope: global (may be called from any thread).

• Processed without parallelization.

Parameters

Charactercharactercharacter (input_object) singlechannelimage → object (byte / uint2)HObject (byte / uint2)HImage (byte / uint2)HObject (byte / uint2)Hobject (byte / uint2)

Input character.

OCRHandleOCRHandleocrhandle (input_control) ocr_knn → (handle)HTuple (HHandle)HOCRKnn, HTuple (IntPtr)HHandleHtuple (handle)

Handle of the k-NN classifier.

Transformtransformtransform (input_control) string → (string)HTuple (HString)HTuple (string)strHtuple (char*)

Should the feature vector be transformed with the preprocessing?

Default: 'true'"true"
List of values: 'false', 'true'"false", "true"

Featuresfeaturesfeatures (output_control) real-array → (real)HTuple (double)HTuple (double)Sequence[float]Htuple (double)

Feature vector of the character.

Result

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

Combinations with other operators

Combinations

Possible predecessors

trainf_ocr_class_knnTrainfOcrClassKnn

See also

create_ocr_class_knnCreateOcrClassKnn

Module

OCR/OCV