TrainingSet.ImageInfo Class Reference

Image that has been added to a training set. More...

Inherits TrainingSet.TrainingSetObject.

Public Member Functions
override int	GetHashCode ()
	Provide a hash code for this object. More...
override bool	Equals (object obj)
	Check two ImageInformation objects for equality. More...
void	TransformImageAndInstances (Matrix2D matrix)
	Transform this image and all instances trained from this image using a 2x2 matrix. More...
unsafe SearchResult[]	CheckConsistency (double threshold, double density)
	Test this image for potentially forgotten instances to be trained. More...

Static Public Member Functions
static bool	operator== (ImageInfo lhs, ImageInfo rhs)
	Comparison operator for instance information objects. More...
static bool	operator!= (ImageInfo lhs, ImageInfo rhs)
	Comparison operator for instance information objects. More...

Protected Member Functions
override int	GetIndex ()
	Index of this MTS image inside the training set More...
override Image	CreateImageRepresentation ()
	Creates the image used for representing this object. More...
abstract int	GetIndex ()
	Method through which the inherited classes retrieve the index this object has in its "master" collection underneath the TrainingSet. More...
abstract Image	CreateImageRepresentation ()
	Creates the image used for representing this object. More...

Properties
ImageInstanceInfoCollection	Instances [get]
	The instances belonging to this model. More...
Properties inherited from TrainingSet.TrainingSetObject
int	Index [get]
	Index of this object in the parent's collection. More...
Image	Image [get]
	Image representation of this object. More...

Additional Inherited Members
Protected Attributes inherited from TrainingSet.TrainingSetObject
readonly IntPtr	collectionParent_
	Native handle to the parent of the collection (which is not necessarily the training set!)

Detailed Description

Image that has been added to a training set.

Member Function Documentation

CheckConsistency()

unsafe SearchResult[] CheckConsistency	(	double	threshold,
		double	density
	)

Test this image for potentially forgotten instances to be trained.

Parameters

threshold	correlation threshold to be used for the consistency check
density	density to be used for the consistency check

Returns

potentially forgotten positive samples that may be added to the training set

Exceptions

ObjectDisposedException	If the training set has already been disposed
ArgumentOutOfRangeException	If invalid values for threshold or density have been passed (both parameters must be within the range [0...1.0]
CvbException	If the execution of the consistency check failed

CreateImageRepresentation()

override Image CreateImageRepresentation ( )

protectedvirtual

Creates the image used for representing this object.

Returns

Image representing this object.

Implements TrainingSet.TrainingSetObject.

Equals()

override bool Equals

(

object

obj

)

Check two ImageInformation objects for equality.

Parameters

obj	other object to check

Returns

true if the objects are equal, false otherwise

GetHashCode()

override int GetHashCode

(

)

Provide a hash code for this object.

Returns

hash code for this object

GetIndex()

override int GetIndex ( )

protectedvirtual

Index of this MTS image inside the training set

Returns

index

Implements TrainingSet.TrainingSetObject.

operator!=()

static bool operator!= ( ImageInfo  lhs, ImageInfo  rhs  )

static

Comparison operator for instance information objects.

Parameters

lhs	object to compare
rhs	object to compare

Returns

false if the two objects refer to the same instance

operator==()

static bool operator== ( ImageInfo  lhs, ImageInfo  rhs  )

static

Comparison operator for instance information objects.

Parameters

lhs	object to compare
rhs	object to compare

Returns

true if the two objects refer to the same instance

TransformImageAndInstances()

void TransformImageAndInstances

(

Matrix2D

matrix

)

Transform this image and all instances trained from this image using a 2x2 matrix.

Parameters

matrix

matrix to transform the model with

Exceptions

ObjectDisposedException	If the training set has already been disposed
DivideByZeroException	If the Matrix cannot be used to sensibly transform the image

Property Documentation

Instances

ImageInstanceInfoCollection Instances

get

The instances belonging to this model.

Exceptions

ObjectDisposedException

If the training set has already been disposed