ImFusion::ML::PixelwiseClassificationMetrics Class Reference

#include <ImFusion/ML/Metrics.h>

Compute dense classification related metrics between a label map and a ground truth segmentation Precisely, computes the sensitivity, specificity, precision and recall. More...

Inheritance diagram for ImFusion::ML::PixelwiseClassificationMetrics:

Detailed Description

Compute dense classification related metrics between a label map and a ground truth segmentation Precisely, computes the sensitivity, specificity, precision and recall.

Public Member Functions
DataScheme	dataScheme () const override
	Returns the expected content of the input data.
std::vector< Record >	compute (const DataItem &testItem) const override
	Generic method to compute the metric (each child class may have a dedicated and easier-to-use function) Result type is a vector (one record per frame) of maps (one entry per sub-metric).
std::vector< std::map< std::string, std::map< int, double > > >	computePerLabel (const SharedImageSet &prediction, const SharedImageSet &target) const
Public Member Functions inherited from ImFusion::ML::Metric
bool	isCompatibleWith (const DataItem &item, bool strictCheck=false) const
	Checks if the input data item is compatible with the template metric.
Public Member Functions inherited from ImFusion::Configurable
virtual void	configure (const Properties *p)
	Configure this object instance by de-serializing the given Properties.
virtual void	configuration (Properties *p) const
	Serialize the current object configuration into the given Properties object.
virtual void	configureDefaults ()
	Retrieve the properties of this object, replaces values with their defaults and sets it again.
void	registerParameter (ParameterBase *param)
	Register the given Parameter or SubProperty, so that it will be configured during configure()/configuration().
void	unregisterParameter (const ParameterBase *param)
	Remove the given Parameter or SubProperty from the list of registered parameters.
	Configurable (const Configurable &rhs)
	Configurable (Configurable &&rhs) noexcept
Configurable &	operator= (const Configurable &)
Configurable &	operator= (Configurable &&) noexcept

Additional Inherited Members
Public Types inherited from ImFusion::ML::Metric
using	Field = typename DataItem::Field
using	DataScheme = std::map<Field, ElementType>
using	Record = std::map<std::string, Eigen::MatrixXd>
Public Attributes inherited from ImFusion::Configurable
Signal	signalParametersChanged
	Emitted whenever one of the registered Parameters' or SubPropertys' signalValueChanged signal was emitted.
Protected Member Functions inherited from ImFusion::ML::Metric
void	assertValidDataScheme (const DataItem &testItem) const
	Asserts if the input data item is compatible with the template metric.
void	throwMetricError (std::string msg) const
	Helper function to throw a dedicated error with more info.
Protected Attributes inherited from ImFusion::Configurable
std::vector< Param >	m_params
	List of all registered Parameter and SubProperty instances.

Member Function Documentation

dataScheme()

DataScheme ImFusion::ML::PixelwiseClassificationMetrics::dataScheme ( ) const

inlineoverridevirtual

Returns the expected content of the input data.

Implements ImFusion::ML::Metric.

compute()

std::vector< Record > ImFusion::ML::PixelwiseClassificationMetrics::compute ( const DataItem & testItem ) const

overridevirtual

Generic method to compute the metric (each child class may have a dedicated and easier-to-use function) Result type is a vector (one record per frame) of maps (one entry per sub-metric).

Implements ImFusion::ML::Metric.

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The documentation for this class was generated from the following file:

• ImFusion/ML/Metrics.h