ImageInstanceInfoCollection Class Reference

Class that maintains the collection of Training Images inside a Minos Training Set. More...

#include <cvb/minos/training_set.hpp>

Inherits InstanceInfoCollectionGeneric.

Public Member Functions
std::unique_ptr< InstanceInfo >	Add (const String &name, bool askForce, Point2D< double > location)
	Extract a new instance from the parent image and added it to the model with the specified name. More...
Public Member Functions inherited from InstanceInfoCollectionGeneric
int	Count () const
	Retrieves the number of elements in the collection. More...
std::unique_ptr< InstanceInfo >	ReadInfo (int index) const
	Retrieves the indexed instance information block. More...
std::vector< std::unique_ptr< InstanceInfo > >	ReadInfos () const
	Retrieves all the items stored in the collection. More...
int	IndexOf (const InstanceInfo &obj) const
	Determine the index of an image information object inside this collection. More...
bool	Remove (const InstanceInfo &instance)
	Remove an instance from the training set. More...
bool	RemoveAt (int index)
	Remove an instance from the training set. More...

Detailed Description

Class that maintains the collection of Training Images inside a Minos Training Set.

Member Function Documentation

Add()

std::unique_ptr< InstanceInfo > Add ( const String &  name, bool  askForce, Point2D< double >  location  )

inline

Extract a new instance from the parent image and added it to the model with the specified name.

Parameters

[in]	name	Name of the model to which to add the instance.
[in]	askForce	Flag controlling the response to a failed correlation test.
[in]	location	Location from which to extract the new instance; upon return from this function, the actual location will be corrected by the correlation test.

Returns

An InstanceInfo object that represents the newly added instance.

Exceptions

Any	exception derived from std::exception including CvbException.

If askForce is true, a messagebox appears asking if the user wants to force creation of a model, even though the sample has failed the correlation test.