Stemmer.Cvb.Manto Namespace Reference

Classes
class	Classifier
	Manto classifier object. More...
class	ClassifierFactory
	Learner object that creates a classifier from an image list. More...
class	NamespaceDoc
	The namespace and assembly Stemmer.Cvb.Manto contains the classes and definitions needed for using the Common Vision Blox Manto tool. More...
class	SampleImageList
	Class that wraps a Manto SIL More...
struct	SearchResult
	Results provided by Manto classifier searches. More...

Enumerations
enum	DecisionBoundary { Soft = 0 , Medium = 1 , Hard = 2 }
	Type of decision boundary to be used during classifier generation. More...
enum	Symmetries {   None = 0 , Identity = 1 , MirrorX = 2 , MirrorY = 4 ,   MirrorXY = 8 , All = 15 }
	Symmetry transformation to be applied temporarily to an SampleImageList during the learning phase. More...
enum	InstanceGeneration { Random , Deterministic }
	Approach to be taken if additional instances are to be generated during the learning phase of Manto. More...
enum	LearnStage { Unknown , Preprocessing , Learning }
	The states the learner can be in during a learn operation (used in the LearnProgress event). More...

Enumeration Type Documentation

DecisionBoundary

enum DecisionBoundary

Type of decision boundary to be used during classifier generation.

Enumerator
Soft	Soft decision boundary uses a narrow hinge loss function to allow for a fair amount of closeness to the decision boundary or even boundary violations.
Medium	Intermediate value between Soft and Hard.
Hard	Considerable rigidity to misclassified samples due to broad hinge loss function.

InstanceGeneration

enum InstanceGeneration

Approach to be taken if additional instances are to be generated during the learning phase of Manto.

Enumerator
Random	additional instances will be generated randomly during the learning phase (i.e. each learning phase will use a different set of additionally generated images)
Deterministic	additional instances will be generated deterministically during the learning phase (i.e. each learning phase will always use the same set of additionally generated images)

LearnStage

enum LearnStage

The states the learner can be in during a learn operation (used in the LearnProgress event).

Enumerator
Unknown	indeterminate learn stage
Preprocessing	preprocessing the images in the sample image list
Learning	learning a classifier from the preprocessed images

Symmetries

enum Symmetries

Symmetry transformation to be applied temporarily to an SampleImageList during the learning phase.

Enumerator
None	no symmetries are to be used during learning; this setting is point- less for an application, but serves as the "null" element for assembling bit fields
Identity	use the images as they are in the SampleImageList
MirrorX	mirror the images along the X axis
MirrorY	mirror the images along the y axis
MirrorXY	mirror the images along the x and y axis (effectively a 180° rotation)
All	Combine and use all Symmetries