A Minos Training Set from which a classifier can be generated. More...

#include <cvb/minos/training_set.hpp>

Public Member Functions
	TrainingSet ()
	Create an empty training set. More...

	TrainingSet (const String &fileName)
	Load a saved training set from a file. More...

void *	Handle () const noexcept
	Classic API CLF handle. More...

void	Save (const String &fileName) const
	Write the training set to a file. More...

std::vector< std::uint8_t >	ToBuffer () const
	Serializes the training set into a buffer. More...

std::unique_ptr< TrainingSet >	Transform (Matrix2D transformation)
	Generate a new training set by transforming this training set with a 2x2 transformation matrix. More...

std::vector< SearchResult >	CheckConsistency (double threshold, double density=1.0)
	Test all images in the parent training set for instances of this model that might have been forgotten during the training process. More...

int	ClassCount () const
	The number of identifiable classes inside this training set. More...

InstanceInfoCollection &	Instances ()
	The instances contained in this training set. More...

int	InstancesTotal () const
	Total number of instances currently trained in this training set. More...

ImageInfoCollection &	Images ()
	The images contained in this training set. More...

ModelInfoCollection &	Models ()
	The models contained in this training set. More...

String	FileName () const
	Name of the file, from which this training set was loaded (empty string if this image list was neither loaded nor saved since its construction). More...

bool	IsModified () const
	Get a flag that informs about unsaved modifications to the training set. More...

void	SetIsModified (bool isModified)
	Set a flag that informs about unsaved modifications to the training set. More...

Rect< int >	Extent () const
	Extent of the classes in the training set relative to the anchor point. More...

Rect< int >	LastFeatureWindow () const
	Feature window of the last model that has been created for the training set. More...

String	Comment () const
	Get the comment assigned to the training set at generation time. More...

void	SetComment (String comment)
	Set the comment assigned to the training set at generation time. More...

double	ExpectationRadius () const
	Get the expectation radius - the radius that is searched for the best occurrence of a sample, when adding a new sample to the training set. More...

void	SetExpectationRadius (double expectationRadius)
	Set the expectation radius - the radius that is searched for the best occurrence of a sample, when adding a new sample to the training set. More...

double	CorrelationThreshold () const
	Gets the correlation threshold. The correlation value under which Minos proposes generating a new model, not generating a new instance of an existing model with which the new instance correlates poorly. More...

void	SetCorrelationThreshold (double correlationThreshold)
	Set the correlation threshold - the correlation value below which Minos will suggest the generation of a new model rather over the generation of a new instance of an existing model, with which the new instance correlates poorly. More...

Static Public Member Functions
static std::unique_ptr< TrainingSet >	Load (const String &fileName)
	Load a saved training set from a file. More...

static std::unique_ptr< TrainingSet >	FromBuffer (const void *buffer, size_t size)
	Recreate a serialized Minos training set from a byte array. More...

template<class RANGE >
static TypedRange< std::unique_ptr< TrainingSet >, std::uint8_t, RANGE >::type	FromBuffer (const RANGE &buffer)
	Recreate a serialized Minos training set from a byte array. More...

static std::unique_ptr< TrainingSet >	FromHandle (HandleGuard< TrainingSet > &&guard)
	Creates training set from a classic API handle. More...

Detailed Description

A Minos Training Set from which a classifier can be generated.

Constructor & Destructor Documentation

◆ TrainingSet() [1/2]

TrainingSet ( )

inline

Create an empty training set.

Exceptions

Any	exception derived from std::exception including CvbException.

◆ TrainingSet() [2/2]

TrainingSet ( const String & fileName )

inlineexplicit

Load a saved training set from a file.

Parameters

[in] fileName Name of the file to be loaded.

Exceptions

Any	exception derived from std::exception including CvbException.

Member Function Documentation

◆ CheckConsistency()

std::vector< SearchResult > CheckConsistency	(	double	threshold,
		double	density = `1.0`
	)

inline

Test all images in the parent training set for instances of this model that might have been forgotten during the training process.

Parameters

[in]	threshold	Correlation threshold to be used for the consistency check.
[in]	density	Density to be used for the consistency check.

Returns: Potentially forgotten positive samples that may be added to the training set.

Exceptions

Any	exception derived from std::exception including CvbException.

◆ ClassCount()

int ClassCount ( ) const

inline

The number of identifiable classes inside this training set.

Returns: The number of classes.

Exceptions

Any	exception derived from std::exception including CvbException.

The number of classes cannot be higher than the number of trained models (see property Models). If two models have the same name, the classifier can no longer distinguish between these two models, reducing the ClassCount property.

◆ Comment()

String Comment ( ) const

inline

Get the comment assigned to the training set at generation time.

Returns: The comment.

Exceptions

Any	exception derived from std::exception including CvbException.

◆ CorrelationThreshold()

double CorrelationThreshold ( ) const

inline

Gets the correlation threshold. The correlation value under which Minos proposes generating a new model, not generating a new instance of an existing model with which the new instance correlates poorly.

Returns: The correlation threshold.

Exceptions

Any	exception derived from std::exception including CvbException.

◆ ExpectationRadius()

double ExpectationRadius ( ) const

inline

Get the expectation radius - the radius that is searched for the best occurrence of a sample, when adding a new sample to the training set.

Returns: The expectation radius.

Exceptions

Any	exception derived from std::exception including CvbException.

◆ Extent()

Rect< int > Extent ( ) const

inline

Extent of the classes in the training set relative to the anchor point.

Returns: The training set classes extent.

Exceptions

Any	exception derived from std::exception including CvbException.

◆ FileName()

String FileName ( ) const

inline

Name of the file, from which this training set was loaded (empty string if this image list was neither loaded nor saved since its construction).

Returns: The file name.

Exceptions

Any	exception derived from std::exception including CvbException.

◆ FromBuffer() [1/2]

static TypedRange< std::unique_ptr< TrainingSet >, std::uint8_t, RANGE >::type FromBuffer ( const RANGE & buffer )

inlinestatic

Recreate a serialized Minos training set from a byte array.

Parameters

[in] buffer Byte array from which to create the training set.

Returns: Pointer to the loaded training set.

Exceptions

Any	exception derived from std::exception including CvbException.

◆ FromBuffer() [2/2]

static std::unique_ptr< TrainingSet > FromBuffer	(	const void *	buffer,
		size_t	size
	)

inlinestatic

Recreate a serialized Minos training set from a byte array.

Parameters

[in]	buffer	Byte array from which to create the training set.
[in]	size	Number of bytes to use.

Returns: Pointer to the loaded training set.

Exceptions

Any	exception derived from std::exception including CvbException.

◆ FromHandle()

static std::unique_ptr< TrainingSet > FromHandle ( HandleGuard< TrainingSet > && guard )

inlinestatic

Creates training set from a classic API handle.

Parameters

[in] guard Life time guard for C-API handle.

Returns: The training set created from the classic API handle.

Exceptions

Any	exception derived from std::exception including CvbException.

The training set takes ownership of the handle, so you must share it before using this function.

◆ Handle()

void * Handle ( ) const

inlinenoexcept

Classic API CLF handle.

Returns: Classic API handle.

Exceptions

Does	not throw any exception.

It is normally not necessary to work with this handle.

◆ Images()

ImageInfoCollection & Images ( )

inline

The images contained in this training set.

Returns: The image info collection.

Exceptions

Any	exception derived from std::exception including CvbException.

The collection keeps internal link to the classifier, shares resources with it and stays valid even if the classifier object itself gets destroyed.

◆ Instances()

InstanceInfoCollection & Instances ( )

inline

The instances contained in this training set.

Returns: The instance info collection.

Exceptions

Any	exception derived from std::exception including CvbException.

The collection keeps internal link to the classifier, shares resources with it and stays valid even if the classifier object itself gets destroyed.

◆ InstancesTotal()

int InstancesTotal ( ) const

inline

Total number of instances currently trained in this training set.

Returns: The instance count.

Exceptions

Any	exception derived from std::exception including CvbException.

◆ IsModified()

bool IsModified ( ) const

inline

Get a flag that informs about unsaved modifications to the training set.

Returns: The is-modified flag.

Exceptions

Any	exception derived from std::exception including CvbException.

Saving the training set will set this flag to false.

◆ LastFeatureWindow()

Rect< int > LastFeatureWindow ( ) const

inline

Feature window of the last model that has been created for the training set.

Returns: The last model feature window.

Exceptions

Any	exception derived from std::exception including CvbException.

◆ Load()

static std::unique_ptr< TrainingSet > Load ( const String & fileName )

inlinestatic

Load a saved training set from a file.

Parameters

[in] fileName Name of the file to be loaded.

Returns: Pointer to the loaded training set.

Exceptions

Any	exception derived from std::exception including CvbException.

◆ Models()

ModelInfoCollection & Models ( )

inline

The models contained in this training set.

Returns: The model info collection.

Exceptions

Any	exception derived from std::exception including CvbException.

The collection keeps internal link to the classifier, shares resources with it and stays valid even if the classifier object itself gets destroyed.

◆ Save()

void Save ( const String & fileName ) const

inline

Write the training set to a file.

Parameters

[in] fileName Path to save to.

Exceptions

Any	exception derived from std::exception including CvbException.

As a side effect this function sets the IsModified flag to false, if the training set was saved successfully.

◆ SetComment()

void SetComment ( String comment )

inline

Set the comment assigned to the training set at generation time.

Parameters

[in] comment The comment.

Exceptions

Any	exception derived from std::exception including CvbException.

◆ SetCorrelationThreshold()

void SetCorrelationThreshold ( double correlationThreshold )

inline

Set the correlation threshold - the correlation value below which Minos will suggest the generation of a new model rather over the generation of a new instance of an existing model, with which the new instance correlates poorly.

Parameters

[in] correlationThreshold The correlation threshold.

Exceptions

Any	exception derived from std::exception including CvbException.

◆ SetExpectationRadius()

void SetExpectationRadius ( double expectationRadius )

inline

Set the expectation radius - the radius that is searched for the best occurrence of a sample, when adding a new sample to the training set.

Parameters

[in] expectationRadius The expectation radius.

Exceptions

Any	exception derived from std::exception including CvbException.

◆ SetIsModified()

void SetIsModified ( bool isModified )

inline

Set a flag that informs about unsaved modifications to the training set.

Parameters

[in] isModified The is-modified flag.

Exceptions

Any	exception derived from std::exception including CvbException.

Saving the training set will set this flag to false.

◆ ToBuffer()

std::vector< std::uint8_t > ToBuffer ( ) const

inline

Serializes the training set into a buffer.

Returns: Byte array with serialzed Minos training set.

Exceptions

Any	exception derived from std::exception including CvbException.

◆ Transform()

std::unique_ptr< TrainingSet > Transform ( Matrix2D transformation )

inline

Generate a new training set by transforming this training set with a 2x2 transformation matrix.

Parameters

[in] transformation Matrix with which to transform the geometry of this training set.

Returns: Transformed training set.

Exceptions

Any	exception derived from std::exception including CvbException.

Public Member Functions

Static Public Member Functions

Detailed Description

Constructor & Destructor Documentation

◆ TrainingSet() [1/2]

◆ TrainingSet() [2/2]

Member Function Documentation

◆ CheckConsistency()

◆ ClassCount()

◆ Comment()

◆ CorrelationThreshold()

◆ ExpectationRadius()

◆ Extent()

◆ FileName()

◆ FromBuffer() [1/2]

◆ FromBuffer() [2/2]

◆ FromHandle()

◆ Handle()

◆ Images()

◆ Instances()

◆ InstancesTotal()

◆ IsModified()

◆ LastFeatureWindow()

◆ Load()

◆ Models()

◆ Save()

◆ SetComment()

◆ SetCorrelationThreshold()

◆ SetExpectationRadius()

◆ SetIsModified()

◆ ToBuffer()

◆ Transform()