CVB.Net 14.0
Stemmer.Cvb.Minos Namespace Reference

Classes

class  Classifier
 Minos classifier object. More...
 
class  ClassifierFactory
 Learner object that creates a classifier from an image list. More...
 
class  ConsistencyCheckEventArgs
 Event data for the ConsistencyCheckProgress events on various objects. More...
 
class  Correlation
 Correlation functions that come with the Minos library. More...
 
class  Filter
 Filter functions that come with the Minos library. More...
 
struct  FilterDefinition
 Filter kernel (cXXYY) for the user defined filters FilterUser2x2, FilterUser3x3, FilterUser5x5. The coefficients are in units of 1/1000, e.g. 1000 means 1. More...
 
class  ImageAddedEventArgs
 Event data for the TrainingSet's TrainingSet.ImageAdded event. More...
 
class  ImageRemovedEventArgs
 Event data for the TrainingSet's TrainingSet.ImageRemoved event. More...
 
class  InstanceAddedEventArgs
 Event data for the TrainingSet's TrainingSet.InstanceAdded event. More...
 
class  InstanceRemovedEventArgs
 Event data for the TrainingSet's TrainingSet.InstanceRemoved event. More...
 
struct  LearnControlData
 Controls some details of the learning process (see LearnCLFFromMTS). More...
 
class  LearnParameters
 The set of parameters that controls how a classifier is being learned from a training set. More...
 
class  LearnProgressEventArgs
 Arguments for the LearnProgress event. More...
 
class  ModelAddedEventArgs
 Event data for the TrainingSet's TrainingSet.ModelAdded event. More...
 
class  ModelRemovedEventArgs
 Event data for the TrainingSet's TrainingSet.ModelRemoved event. More...
 
class  NamespaceDoc
 The namespace and assembly Stemmer.Cvb.Minos contains the classes and definitions needed for using the Common Vision Blox Minos tool. More...
 
struct  SearchResult
 Search Result as returned by Minos More...
 
class  TrainingSet
 A Minos Training Set from which a classifier can be generated. More...
 

Enumerations

enum  QualityFeedback { Unnormalized = 0 , Normalized = 1 }
 Feedback type for search functions More...
 
enum  SearchMode { FindFirst , FindBest , FindBestSubPixel }
 Different modes for the search calls that return a single result. More...
 
enum  ReadMode { ReturnFirstPosition , ReturnLastPosition }
 Options for the read functions. More...
 

Functions

delegate bool ScanCallback (IntPtr privateData, int linesToDo)
 Informs about the remaining number of scan lines (linesToDo). If the callback function returns false, execution terminates, otherwise it continues. privateData is a pointer to personal user data.
 
delegate bool CheckProgressCallback (IntPtr privateData, IntPtr currentImage, IntPtr currentModel, int linesToDo)
 Allows to display information about the progress of the function, or to terminate it prematurely (return false). The currentXXX parameters refer to the current MTSIMAGE and MTSMODEL. linesToDo informs about the remaining number of scan lines.
 
delegate bool LearnProgress (IntPtr privateData, IntPtr instance, int total, int correct, int current)
 Is called for every instance being processed during learning. privateData is a pointer to a private memory area. instance is a handle to the MTS-instance being processed. total is the total number of instances to process. correct is the number of instances which have been correctly recognized on the basis of current knowledge of the classifier. current gives the current instances index. Execution is terminated if true is returned.
 

Enumeration Type Documentation

◆ QualityFeedback

Feedback type for search functions

Enumerator
Unnormalized 

unnormalized quality feedback in the range [0...255]

Normalized 

normalized quality feedback from correlation over a classifier's features in the range [0..1]

◆ ReadMode

enum ReadMode

Options for the read functions.

Enumerator
ReturnFirstPosition 

Return the position of the first character.

ReturnLastPosition 

Return the position of the last character.

◆ SearchMode

enum SearchMode

Different modes for the search calls that return a single result.

Enumerator
FindFirst 

Stop after the first result has been found.

FindBest 

Search the whole region of interest and return the best result.

FindBestSubPixel 

Search the whole region of interest and return the best result with sub pixel accuracy.