• 홈
• Ocronet
• Dynamic
• Recognizers
• Linerec

C# 클래스 Ocronet.Dynamic.Recognizers.Linerec

파일 보기 프로젝트 열기: nickun/OCRonet 1 사용 예제들

공개 메소드들

메소드	설명
AddTrainingLine ( Intarray cseg, Bytearray image_grayscale, string tr ) : bool	Train on a text line, given a segmentation. This is analogous to addTrainingLine(bytearray,nustring) except that it takes the "ground truth" line segmentation.
AddTrainingLine ( Intarray cseg, string tr ) : void	Train on a text line. Usage is: call addTrainingLine with training data, then call finishTraining The state of the object is undefined between calling addTrainingLine and finishTraining, and it is an error to call recognizeLine before finishTraining completes. This allows both batch and incemental training. NB: you might train on length 1 strings for single character training and might train on words if line alignment is not working (well, for some training data)
Epoch ( int n ) : void
EstimateSpaceSize ( ) : void
FinishTraining ( ) : void
GetClassifier ( ) : IModel
IncClass ( int c ) : void	Original name: inc_class
Info ( ) : void
Linerec ( ) : System
Linerec ( string classifier1 = "latin", string extractor1 = "scaledfe", string segmenter1 = "DpSegmenter", int use_reject = 1 ) : System
Load ( string filename ) : void
LoadLinerec ( string filename ) : Linerec
LoadOldFormat ( BinaryReader reader ) : void
LoadOldFormat ( string path ) : void
OnTrainRound ( object sender, TrainEventArgs args ) : void
RecognizeLine ( IGenericFst result, Bytearray image ) : double	Recognize a text line and return a lattice representing the recognition alternatives.
RecognizeLine ( Intarray segmentation_, IGenericFst result, Bytearray image_ ) : double	This is a weird, optional method that exposes character segmentation for those line recognizers that have it segmentation contains colored pixels, and a transition in the transducer of the form * --- 1/eps --> * --- 2/a --> * means that pixels with color 1 and 2 together form the letter "a"
Save ( string filepath ) : void	Save network to file
SetClassifier ( IModel classifier ) : void
SetLine ( Bytearray image ) : void
StartTraining ( string type = "adaptation" ) : void

비공개 메소드들

메소드	설명
Classifier_TrainRound ( object sender, TrainEventArgs e ) : void
TryAttachClassifierEvent ( IModel classifier ) : void
riuniform ( int hi ) : int

메소드 상세