Package adams.data.imagesegmentation.operation

Class CompareAnnotationWithPredictionStats

java.lang.Object

adams.core.logging.LoggingObject

adams.core.logging.CustomLoggingLevelObject

adams.core.option.AbstractOptionHandler

adams.data.imagesegmentation.operation.AbstractImageSegmentationContainerOperation

adams.data.imagesegmentation.operation.CompareAnnotationWithPredictionStats

All Implemented Interfaces:

Destroyable, GlobalInfoSupporter, LoggingLevelHandler, LoggingSupporter, OptionHandler, QuickInfoSupporter, SizeOfHandler, Serializable

public class CompareAnnotationWithPredictionStats
extends AbstractImageSegmentationContainerOperation

Compares a prediction (first container) with the annotation (second container) and outputs statistics per label: correct overlaps (count/%), the missed annotations (count/%) and additionally predicted pixels (count/%), Intersect-over-Union, Dice coefficient. For the percentages, the total number of annotations is used as divisor.

Author:

FracPete (fracpete at waikato dot ac dot nz)

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field	Description
protected BaseString[]	m_Labels	the labels to analyze (all if none specified).

Fields inherited from class adams.core.option.AbstractOptionHandler

m_OptionManager

Fields inherited from class adams.core.logging.LoggingObject

m_Logger, m_LoggingIsEnabled, m_LoggingLevel

Constructor Summary

Constructors

Constructor	Description
CompareAnnotationWithPredictionStats()

Method Summary

Modifier and Type	Method	Description
void	defineOptions()	Adds options to the internal list of options.
protected Object	doProcess(ImageSegmentationContainer[] containers)	Performs the actual processing of the containers.
protected int[]	generate(int[] predPixels, int[] annoPixels)	Compares the two pixel arrays and generates counts from it.
Class	generates()	The type of data that is generated.
BaseString[]	getLabels()	Returns the labels to generate the images for instead of all.
String	getQuickInfo()	Returns a quick info about the actor, which will be displayed in the GUI.
String	globalInfo()	Returns a string describing the object.
String	labelsTipText()	Returns the tip text for this property.
int	maxNumContainersRequired()	Returns the maximum number of containers that are required for the operation.
int	minNumContainersRequired()	Returns the minimum number of containers that are required for the operation.
void	setLabels(BaseString[] value)	Sets the labels to generate the images for instead of all.

Methods inherited from class adams.data.imagesegmentation.operation.AbstractImageSegmentationContainerOperation

check, checkSameDimensions, checkSameDimensions, process

Methods inherited from class adams.core.option.AbstractOptionHandler

cleanUpOptions, destroy, finishInit, getDefaultLoggingLevel, getOptionManager, initialize, loggingLevelTipText, newOptionManager, reset, setLoggingLevel, toCommandLine, toString

Methods inherited from class adams.core.logging.LoggingObject

configureLogger, getLogger, getLoggingLevel, initializeLogging, isLoggingEnabled, sizeOf

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface adams.core.logging.LoggingLevelHandler

getLoggingLevel

Field Detail

m_Labels

protected BaseString[] m_Labels

the labels to analyze (all if none specified).

Constructor Detail

CompareAnnotationWithPredictionStats

public CompareAnnotationWithPredictionStats()

Method Detail

globalInfo

public String globalInfo()

Returns a string describing the object.

Specified by:

globalInfo in interface GlobalInfoSupporter

Specified by:

globalInfo in class AbstractOptionHandler

Returns:

a description suitable for displaying in the gui

defineOptions

public void defineOptions()

Adds options to the internal list of options.

Specified by:

defineOptions in interface OptionHandler

Overrides:

defineOptions in class AbstractOptionHandler

setLabels

public void setLabels(BaseString[] value)

Sets the labels to generate the images for instead of all.

Parameters:

value - the labels

getLabels

public BaseString[] getLabels()

Returns the labels to generate the images for instead of all.

Returns:

the labels

labelsTipText

public String labelsTipText()

Returns the tip text for this property.

Returns:

tip text for this property suitable for displaying in the GUI or for listing the options.

getQuickInfo

public String getQuickInfo()

Returns a quick info about the actor, which will be displayed in the GUI.

Specified by:

getQuickInfo in interface QuickInfoSupporter

Overrides:

getQuickInfo in class AbstractImageSegmentationContainerOperation

Returns:

null if no info available, otherwise short string

minNumContainersRequired

public int minNumContainersRequired()

Returns the minimum number of containers that are required for the operation.

Specified by:

minNumContainersRequired in class AbstractImageSegmentationContainerOperation

Returns:

the number of containers that are required, <= 0 means no lower limit

maxNumContainersRequired

public int maxNumContainersRequired()

Returns the maximum number of containers that are required for the operation.

Specified by:

maxNumContainersRequired in class AbstractImageSegmentationContainerOperation

Returns:

the number of containers that are required, <= 0 means no upper limit

generates

public Class generates()

The type of data that is generated.

Specified by:

generates in class AbstractImageSegmentationContainerOperation

Returns:

the class

generate

protected int[] generate(int[] predPixels,
                         int[] annoPixels)

Compares the two pixel arrays and generates counts from it.

Parameters:

predPixels - the prediction pixels

annoPixels - the annotation pixels

Returns:

the counts (correct, missed, additional)

doProcess

protected Object doProcess(ImageSegmentationContainer[] containers)

Performs the actual processing of the containers.

Specified by:

doProcess in class AbstractImageSegmentationContainerOperation

Parameters:

containers - the containers to process

Returns:

the generated data