An ESupervisedSegmenterResult object represents the result of a supervised segmenter. More...

#include <eVision/EasyDeepLearning/EasySegment/ESupervisedSegmenterResult.h>

Collaboration diagram for eVision::EasyDeepLearning::ESupervisedSegmenterResult:

Public Member Functions
	ESupervisedSegmenterResult ()
	Constructs a non-valid ESupervisedSegmenterResult.
	ESupervisedSegmenterResult (const eVision::EasyDeepLearning::ESupervisedSegmenterResult &other)
	Copy constructor of an ESupervisedSegmenterResult object.
virtual	~ESupervisedSegmenterResult () throw ()
eVision::EasyDeepLearning::ESupervisedSegmenterResult &	operator= (const eVision::EasyDeepLearning::ESupervisedSegmenterResult &other)
	Assignment operator.
bool	IsValid () const
	Indicates whether the result is valid and ready to be used.
eVision::EImageBW16	GetSegmentationMap () const
	Segmentation result.
const eVision::ECodedImage2 &	GetCodedImage () const
	Returns the coded image obtained during the segmentation.
eVision::ERegion	ToRegion () const
	Returns the region.
void	SetFrame (const eVision::EFrame &frame)
	Sets the frame in which the result was computed.
const eVision::EFrame &	GetFrame ()
	Gets the frame in which the result was computed.
eVision::EImageC24	GetColorizedSegmentation () const
	Colorized version of the segmentation map.
eVision::EImageC24A	GetColorizedSegmentationWithTransparency () const
	Colorized version of the segmentation map with transparency.
eVision::ERegion	GetRegionForLabel (const std::string &label) const
	Region corresponding to the given label.
eVision::EImageBW8	GetProbabilityMap (const std::string &label) const
	Probability map for the given label. The probability values are mapped between 0 and 255.
int	GetNumBlobs (const std::string &label) const
	Number of detected blobs for all labels or for the specified label.
int	GetNumBlobs () const
	Number of detected blobs for all labels or for the specified label.
std::vector< eVision::EasyDeepLearning::ESupervisedSegmenterBlob >	GetBlobs () const
	Detected blobs for all labels or for the specified label.
std::vector< eVision::EasyDeepLearning::ESupervisedSegmenterBlob >	GetBlobs (const std::string &label) const
	Detected blobs for all labels or for the specified label.
bool	HasForegroundSegments () const
	Whether the predicted segmentation contains non-background pixels.
eVision::EasyDeepLearning::ESupervisedSegmenterMetrics	GetImageMetrics () const
	Metrics for the image.
void	SetGroundtruthSegmentationMap (const eVision::EImageBW16 &gt)
	Ground truth segmentation map.
eVision::EImageBW16	GetGroundtruthSegmentationMap () const
	Ground truth segmentation map.
int	GetNumLabels () const
	Number of segmentation labels of the supervised segmenter that produced this result.
std::string	GetLabel (int labelIndex) const
	Label at the given index.
eVision::ERGBColor	GetLabelColor (int i) const
	Color of a label.
eVision::ERGBColor	GetLabelColor (const std::string &label) const
	Color of a label.
bool	HasGroundtruthSegmentation () const
	Whether the result is associated with a ground truth segmentation map.
void	RemoveGroundtruthSegmentation ()
	Removes any ground truth associated with the result.
float	GetScore () const
	Score used to determine whether the result contains segments that are not background.
void	SetClassificationThreshold (float threshold)
	Classification threshold for determining whether the image contains blobs with a label different than background.
float	GetClassificationThreshold () const
	Classification threshold for determining whether the image contains blobs with a label different than background.
int	GetWidth () const
	Width of the source image and of the segmentation result.
int	GetHeight () const
	Height of the source image and of the segmentation result.
void	Draw (eVision::EDrawAdapter *drawAdapter, float zoomX, float zoomY, float panX, float panY) const
	Draws the segmentation.
void	Draw (eVision::EDrawAdapter *drawAdapter, float zoomX, float zoomY, float panX) const
	Draws the segmentation.
void	Draw (eVision::EDrawAdapter *drawAdapter, float zoomX, float zoomY) const
	Draws the segmentation.
void	Draw (eVision::EDrawAdapter *drawAdapter, float zoomX) const
	Draws the segmentation.
void	Draw (eVision::EDrawAdapter *drawAdapter) const
	Draws the segmentation.
void	Draw (eVision::EDrawAdapter *drawAdapter, const eVision::EFrame &frame, float zoomX, float zoomY, float panX, float panY) const
	Draws the segmentation.
void	Draw (eVision::EDrawAdapter *drawAdapter, const eVision::EFrame &frame, float zoomX, float zoomY, float panX) const
	Draws the segmentation.
void	Draw (eVision::EDrawAdapter *drawAdapter, const eVision::EFrame &frame, float zoomX, float zoomY) const
	Draws the segmentation.
void	Draw (eVision::EDrawAdapter *drawAdapter, const eVision::EFrame &frame, float zoomX) const
	Draws the segmentation.
void	Draw (eVision::EDrawAdapter *drawAdapter, const eVision::EFrame &frame) const
	Draws the segmentation.
void	Draw (HDC graphicsContext, float zoomX, float zoomY, float panX, float panY) const
	Draws the segmentation.
void	Draw (HDC graphicsContext, float zoomX, float zoomY, float panX) const
	Draws the segmentation.
void	Draw (HDC graphicsContext, float zoomX, float zoomY) const
	Draws the segmentation.
void	Draw (HDC graphicsContext, float zoomX) const
	Draws the segmentation.
void	Draw (HDC graphicsContext) const
	Draws the segmentation.
	ESupervisedSegmenterResult (CppWrapperInternal::InternalConstructor)

Public Attributes
CppWrapperInternal::WrappedClass	wrappedClass_

Detailed Description

An ESupervisedSegmenterResult object represents the result of a supervised segmenter.

License(s): BasicTypes

Constructor & Destructor Documentation

◆ ESupervisedSegmenterResult() [1/3]

eVision::EasyDeepLearning::ESupervisedSegmenterResult::ESupervisedSegmenterResult ( )

Constructs a non-valid ESupervisedSegmenterResult.

◆ ESupervisedSegmenterResult() [2/3]

eVision::EasyDeepLearning::ESupervisedSegmenterResult::ESupervisedSegmenterResult ( const eVision::EasyDeepLearning::ESupervisedSegmenterResult & other )

Copy constructor of an ESupervisedSegmenterResult object.

Parameters

other Reference to the ESupervisedSegmenterResult object that should be copied

◆ ~ESupervisedSegmenterResult()

eVision::EasyDeepLearning::ESupervisedSegmenterResult::~ESupervisedSegmenterResult	(		)
throw	(	)

virtual

◆ ESupervisedSegmenterResult() [3/3]

eVision::EasyDeepLearning::ESupervisedSegmenterResult::ESupervisedSegmenterResult ( CppWrapperInternal::InternalConstructor )

Member Function Documentation

◆ Draw() [1/15]

void eVision::EasyDeepLearning::ESupervisedSegmenterResult::Draw ( eVision::EDrawAdapter * drawAdapter ) const

Draws the segmentation.

The detected segment are drawn with the label color specified in the dataset used for training. The pixel classified as background are transparent.

Parameters

drawAdapter A pointer to an EDrawAdapter (like the EWindowsDrawAdapter).

◆ Draw() [2/15]

void eVision::EasyDeepLearning::ESupervisedSegmenterResult::Draw	(	eVision::EDrawAdapter *	drawAdapter,
		const eVision::EFrame &	frame ) const

Draws the segmentation.

The detected segment are drawn with the label color specified in the dataset used for training. The pixel classified as background are transparent.

Parameters

drawAdapter	A pointer to an EDrawAdapter (like the EWindowsDrawAdapter).
frame	Frame of reference in which this result was computed.

◆ Draw() [3/15]

void eVision::EasyDeepLearning::ESupervisedSegmenterResult::Draw	(	eVision::EDrawAdapter *	drawAdapter,
		const eVision::EFrame &	frame,
		float	zoomX ) const

Draws the segmentation.

The detected segment are drawn with the label color specified in the dataset used for training. The pixel classified as background are transparent.

Parameters

drawAdapter	A pointer to an EDrawAdapter (like the EWindowsDrawAdapter).
frame	Frame of reference in which this result was computed.
zoomX	Horizontal zooming factor. A value greater than 1 means zoom in. By default, true scale is used.

◆ Draw() [4/15]

void eVision::EasyDeepLearning::ESupervisedSegmenterResult::Draw	(	eVision::EDrawAdapter *	drawAdapter,
		const eVision::EFrame &	frame,
		float	zoomX,
		float	zoomY ) const

Draws the segmentation.

The detected segment are drawn with the label color specified in the dataset used for training. The pixel classified as background are transparent.

Parameters

drawAdapter	A pointer to an EDrawAdapter (like the EWindowsDrawAdapter).
frame	Frame of reference in which this result was computed.
zoomX	Horizontal zooming factor. A value greater than 1 means zoom in. By default, true scale is used.
zoomY	Vertical zooming factor. A value greater than 1 means zoom in. If set to 0, the default value, the horizontal zooming factor is used instead, so as to provide isotropic zooming.

◆ Draw() [5/15]

void eVision::EasyDeepLearning::ESupervisedSegmenterResult::Draw	(	eVision::EDrawAdapter *	drawAdapter,
		const eVision::EFrame &	frame,
		float	zoomX,
		float	zoomY,
		float	panX ) const

Draws the segmentation.

The detected segment are drawn with the label color specified in the dataset used for training. The pixel classified as background are transparent.

Parameters

drawAdapter	A pointer to an EDrawAdapter (like the EWindowsDrawAdapter).
frame	Frame of reference in which this result was computed.
zoomX	Horizontal zooming factor. A value greater than 1 means zoom in. By default, true scale is used.
zoomY	Vertical zooming factor. A value greater than 1 means zoom in. If set to 0, the default value, the horizontal zooming factor is used instead, so as to provide isotropic zooming.
panX	Horizontal panning value expressed in pixels. By default, no panning occurs.

◆ Draw() [6/15]

void eVision::EasyDeepLearning::ESupervisedSegmenterResult::Draw	(	eVision::EDrawAdapter *	drawAdapter,
		const eVision::EFrame &	frame,
		float	zoomX,
		float	zoomY,
		float	panX,
		float	panY ) const

Draws the segmentation.

The detected segment are drawn with the label color specified in the dataset used for training. The pixel classified as background are transparent.

Parameters

drawAdapter	A pointer to an EDrawAdapter (like the EWindowsDrawAdapter).
frame	Frame of reference in which this result was computed.
zoomX	Horizontal zooming factor. A value greater than 1 means zoom in. By default, true scale is used.
zoomY	Vertical zooming factor. A value greater than 1 means zoom in. If set to 0, the default value, the horizontal zooming factor is used instead, so as to provide isotropic zooming.
panX	Horizontal panning value expressed in pixels. By default, no panning occurs.
panY	Vertical panning value expressed in pixels. By default, no panning occurs.

◆ Draw() [7/15]

void eVision::EasyDeepLearning::ESupervisedSegmenterResult::Draw	(	eVision::EDrawAdapter *	drawAdapter,
		float	zoomX ) const

Draws the segmentation.

The detected segment are drawn with the label color specified in the dataset used for training. The pixel classified as background are transparent.

Parameters

drawAdapter	A pointer to an EDrawAdapter (like the EWindowsDrawAdapter).
zoomX	Horizontal zooming factor. A value greater than 1 means zoom in. By default, true scale is used.

◆ Draw() [8/15]

void eVision::EasyDeepLearning::ESupervisedSegmenterResult::Draw	(	eVision::EDrawAdapter *	drawAdapter,
		float	zoomX,
		float	zoomY ) const

Draws the segmentation.

The detected segment are drawn with the label color specified in the dataset used for training. The pixel classified as background are transparent.

Parameters

drawAdapter	A pointer to an EDrawAdapter (like the EWindowsDrawAdapter).
zoomX	Horizontal zooming factor. A value greater than 1 means zoom in. By default, true scale is used.
zoomY	Vertical zooming factor. A value greater than 1 means zoom in. If set to 0, the default value, the horizontal zooming factor is used instead, so as to provide isotropic zooming.

◆ Draw() [9/15]

void eVision::EasyDeepLearning::ESupervisedSegmenterResult::Draw	(	eVision::EDrawAdapter *	drawAdapter,
		float	zoomX,
		float	zoomY,
		float	panX ) const

Draws the segmentation.

The detected segment are drawn with the label color specified in the dataset used for training. The pixel classified as background are transparent.

Parameters

drawAdapter	A pointer to an EDrawAdapter (like the EWindowsDrawAdapter).
zoomX	Horizontal zooming factor. A value greater than 1 means zoom in. By default, true scale is used.
zoomY	Vertical zooming factor. A value greater than 1 means zoom in. If set to 0, the default value, the horizontal zooming factor is used instead, so as to provide isotropic zooming.
panX	Horizontal panning value expressed in pixels. By default, no panning occurs.

◆ Draw() [10/15]

void eVision::EasyDeepLearning::ESupervisedSegmenterResult::Draw	(	eVision::EDrawAdapter *	drawAdapter,
		float	zoomX,
		float	zoomY,
		float	panX,
		float	panY ) const

Draws the segmentation.

The detected segment are drawn with the label color specified in the dataset used for training. The pixel classified as background are transparent.

Parameters

drawAdapter	A pointer to an EDrawAdapter (like the EWindowsDrawAdapter).
zoomX	Horizontal zooming factor. A value greater than 1 means zoom in. By default, true scale is used.
zoomY	Vertical zooming factor. A value greater than 1 means zoom in. If set to 0, the default value, the horizontal zooming factor is used instead, so as to provide isotropic zooming.
panX	Horizontal panning value expressed in pixels. By default, no panning occurs.
panY	Vertical panning value expressed in pixels. By default, no panning occurs.

◆ Draw() [11/15]

void eVision::EasyDeepLearning::ESupervisedSegmenterResult::Draw ( HDC graphicsContext ) const

Draws the segmentation.

The detected segment are drawn with the label color specified in the dataset used for training. The pixel classified as background are transparent.

Parameters

graphicsContext Handle of the device context on which to draw.

Deprecated

Use the overload taking an EDrawAdapter by using an instance of EWindowsDrawAdapter.

Deprecated in version 23.12. Scheduled to be removed in version 27.6.

◆ Draw() [12/15]

void eVision::EasyDeepLearning::ESupervisedSegmenterResult::Draw	(	HDC	graphicsContext,
		float	zoomX ) const

Draws the segmentation.

The detected segment are drawn with the label color specified in the dataset used for training. The pixel classified as background are transparent.

Parameters

graphicsContext	Handle of the device context on which to draw.
zoomX	Horizontal zooming factor. A value greater than 1 means zoom in. By default, true scale is used.

Deprecated

Use the overload taking an EDrawAdapter by using an instance of EWindowsDrawAdapter.

Deprecated in version 23.12. Scheduled to be removed in version 27.6.

◆ Draw() [13/15]

void eVision::EasyDeepLearning::ESupervisedSegmenterResult::Draw	(	HDC	graphicsContext,
		float	zoomX,
		float	zoomY ) const

Draws the segmentation.

The detected segment are drawn with the label color specified in the dataset used for training. The pixel classified as background are transparent.

Parameters

graphicsContext	Handle of the device context on which to draw.
zoomX	Horizontal zooming factor. A value greater than 1 means zoom in. By default, true scale is used.
zoomY	Vertical zooming factor. A value greater than 1 means zoom in. If set to 0, the default value, the horizontal zooming factor is used instead, so as to provide isotropic zooming.

Deprecated

Use the overload taking an EDrawAdapter by using an instance of EWindowsDrawAdapter.

Deprecated in version 23.12. Scheduled to be removed in version 27.6.

◆ Draw() [14/15]

void eVision::EasyDeepLearning::ESupervisedSegmenterResult::Draw	(	HDC	graphicsContext,
		float	zoomX,
		float	zoomY,
		float	panX ) const

Draws the segmentation.

The detected segment are drawn with the label color specified in the dataset used for training. The pixel classified as background are transparent.

Parameters

graphicsContext	Handle of the device context on which to draw.
zoomX	Horizontal zooming factor. A value greater than 1 means zoom in. By default, true scale is used.
zoomY	Vertical zooming factor. A value greater than 1 means zoom in. If set to 0, the default value, the horizontal zooming factor is used instead, so as to provide isotropic zooming.
panX	Horizontal panning value expressed in pixels. By default, no panning occurs.

Deprecated

Use the overload taking an EDrawAdapter by using an instance of EWindowsDrawAdapter.

Deprecated in version 23.12. Scheduled to be removed in version 27.6.

◆ Draw() [15/15]

void eVision::EasyDeepLearning::ESupervisedSegmenterResult::Draw	(	HDC	graphicsContext,
		float	zoomX,
		float	zoomY,
		float	panX,
		float	panY ) const

Draws the segmentation.

The detected segment are drawn with the label color specified in the dataset used for training. The pixel classified as background are transparent.

Parameters

graphicsContext	Handle of the device context on which to draw.
zoomX	Horizontal zooming factor. A value greater than 1 means zoom in. By default, true scale is used.
zoomY	Vertical zooming factor. A value greater than 1 means zoom in. If set to 0, the default value, the horizontal zooming factor is used instead, so as to provide isotropic zooming.
panX	Horizontal panning value expressed in pixels. By default, no panning occurs.
panY	Vertical panning value expressed in pixels. By default, no panning occurs.

Deprecated

Use the overload taking an EDrawAdapter by using an instance of EWindowsDrawAdapter.

Deprecated in version 23.12. Scheduled to be removed in version 27.6.

◆ GetBlobs() [1/2]

std::vector< eVision::EasyDeepLearning::ESupervisedSegmenterBlob > eVision::EasyDeepLearning::ESupervisedSegmenterResult::GetBlobs ( ) const

Detected blobs for all labels or for the specified label.

A blob is a contiguous set of pixels detected to be of the same non-background label. As such, the "background" label never has blobs. The set of detected blobs depends on the threshold.

◆ GetBlobs() [2/2]

std::vector< eVision::EasyDeepLearning::ESupervisedSegmenterBlob > eVision::EasyDeepLearning::ESupervisedSegmenterResult::GetBlobs ( const std::string & label ) const

Detected blobs for all labels or for the specified label.

Parameters

label Label

A blob is a contiguous set of pixels detected to be of the same non-background label. As such, the "background" label never has blobs. The set of detected blobs depends on the threshold.

◆ GetClassificationThreshold()

float eVision::EasyDeepLearning::ESupervisedSegmenterResult::GetClassificationThreshold ( ) const

Classification threshold for determining whether the image contains blobs with a label different than background.

By default, its value is given by the supervised segmenter that produced this result.

◆ GetCodedImage()

const eVision::ECodedImage2 & eVision::EasyDeepLearning::ESupervisedSegmenterResult::GetCodedImage ( ) const

Returns the coded image obtained during the segmentation.

◆ GetColorizedSegmentation()

eVision::EImageC24 eVision::EasyDeepLearning::ESupervisedSegmenterResult::GetColorizedSegmentation ( ) const

Colorized version of the segmentation map.

◆ GetColorizedSegmentationWithTransparency()

eVision::EImageC24A eVision::EasyDeepLearning::ESupervisedSegmenterResult::GetColorizedSegmentationWithTransparency ( ) const

Colorized version of the segmentation map with transparency.

◆ GetFrame()

const eVision::EFrame & eVision::EasyDeepLearning::ESupervisedSegmenterResult::GetFrame ( )

Gets the frame in which the result was computed.

◆ GetGroundtruthSegmentationMap()

eVision::EImageBW16 eVision::EasyDeepLearning::ESupervisedSegmenterResult::GetGroundtruthSegmentationMap ( ) const

Ground truth segmentation map.

By default, the ground truth segmentation map is all background.

◆ GetHeight()

int eVision::EasyDeepLearning::ESupervisedSegmenterResult::GetHeight ( ) const

Height of the source image and of the segmentation result.

◆ GetImageMetrics()

eVision::EasyDeepLearning::ESupervisedSegmenterMetrics eVision::EasyDeepLearning::ESupervisedSegmenterResult::GetImageMetrics ( ) const

Metrics for the image.

You must set the ESupervisedSegmenterResult::SetGroundtruthSegmentationMap before accessing this field.

◆ GetLabel()

std::string eVision::EasyDeepLearning::ESupervisedSegmenterResult::GetLabel ( int labelIndex ) const

Label at the given index.

Parameters

labelIndex Index of the label

The index must be comprised between 0 and ESupervisedSegmenterResult::GetNumLabels - 1. The labels are the one from the supervised segmenter that produced this result.

◆ GetLabelColor() [1/2]

eVision::ERGBColor eVision::EasyDeepLearning::ESupervisedSegmenterResult::GetLabelColor ( const std::string & label ) const

Color of a label.

Parameters

label Label for which to get the color

The label color is controlled at the tool level. To change a color in a result, change the label color in the tool.

◆ GetLabelColor() [2/2]

eVision::ERGBColor eVision::EasyDeepLearning::ESupervisedSegmenterResult::GetLabelColor ( int i ) const

Color of a label.

Parameters

i	Index of the label for which to get the color (between 0 and ESupervisedSegmenterResult::GetNumLabels - 1)

The label color is controlled at the tool level. To change a color in a result, change the label color in the tool.

◆ GetNumBlobs() [1/2]

int eVision::EasyDeepLearning::ESupervisedSegmenterResult::GetNumBlobs ( ) const

Number of detected blobs for all labels or for the specified label.

A blob is a contiguous set of pixels detected to be of the same non-background label. As such, the "background" label never has blobs.

◆ GetNumBlobs() [2/2]

int eVision::EasyDeepLearning::ESupervisedSegmenterResult::GetNumBlobs ( const std::string & label ) const

Number of detected blobs for all labels or for the specified label.

Parameters

label Label

A blob is a contiguous set of pixels detected to be of the same non-background label. As such, the "background" label never has blobs.

◆ GetNumLabels()

int eVision::EasyDeepLearning::ESupervisedSegmenterResult::GetNumLabels ( ) const

Number of segmentation labels of the supervised segmenter that produced this result.

◆ GetProbabilityMap()

eVision::EImageBW8 eVision::EasyDeepLearning::ESupervisedSegmenterResult::GetProbabilityMap ( const std::string & label ) const

Probability map for the given label. The probability values are mapped between 0 and 255.

Parameters

label Label

◆ GetRegionForLabel()

eVision::ERegion eVision::EasyDeepLearning::ESupervisedSegmenterResult::GetRegionForLabel ( const std::string & label ) const

Region corresponding to the given label.

Parameters

label Label

◆ GetScore()

float eVision::EasyDeepLearning::ESupervisedSegmenterResult::GetScore ( ) const

Score used to determine whether the result contains segments that are not background.

◆ GetSegmentationMap()

eVision::EImageBW16 eVision::EasyDeepLearning::ESupervisedSegmenterResult::GetSegmentationMap ( ) const

Segmentation result.

The segmentation map is expressed in the sensor coordinates even if an EFrame was used during the inference of the model.

◆ GetWidth()

int eVision::EasyDeepLearning::ESupervisedSegmenterResult::GetWidth ( ) const

Width of the source image and of the segmentation result.

◆ HasForegroundSegments()

bool eVision::EasyDeepLearning::ESupervisedSegmenterResult::HasForegroundSegments ( ) const

Whether the predicted segmentation contains non-background pixels.

◆ HasGroundtruthSegmentation()

bool eVision::EasyDeepLearning::ESupervisedSegmenterResult::HasGroundtruthSegmentation ( ) const

Whether the result is associated with a ground truth segmentation map.

◆ IsValid()

bool eVision::EasyDeepLearning::ESupervisedSegmenterResult::IsValid ( ) const

Indicates whether the result is valid and ready to be used.

A default constructed ESupervisedSegmenterResult is not valid.

◆ operator=()

eVision::EasyDeepLearning::ESupervisedSegmenterResult & eVision::EasyDeepLearning::ESupervisedSegmenterResult::operator= ( const eVision::EasyDeepLearning::ESupervisedSegmenterResult & other )

Assignment operator.

Parameters

other Reference to the ESupervisedSegmenterResult object used for the assignment

◆ RemoveGroundtruthSegmentation()

void eVision::EasyDeepLearning::ESupervisedSegmenterResult::RemoveGroundtruthSegmentation ( )

Removes any ground truth associated with the result.

◆ SetClassificationThreshold()

void eVision::EasyDeepLearning::ESupervisedSegmenterResult::SetClassificationThreshold ( float threshold )

Classification threshold for determining whether the image contains blobs with a label different than background.

By default, its value is given by the supervised segmenter that produced this result.

Parameters

threshold Classification threshold

◆ SetFrame()

void eVision::EasyDeepLearning::ESupervisedSegmenterResult::SetFrame ( const eVision::EFrame & frame )

Sets the frame in which the result was computed.

Parameters

frame Frame of reference in which the result was computed.

◆ SetGroundtruthSegmentationMap()

void eVision::EasyDeepLearning::ESupervisedSegmenterResult::SetGroundtruthSegmentationMap ( const eVision::EImageBW16 & gt )

Ground truth segmentation map.

By default, the ground truth segmentation map is all background.

Parameters

gt	Ground truth segmentation map

◆ ToRegion()

eVision::ERegion eVision::EasyDeepLearning::ESupervisedSegmenterResult::ToRegion ( ) const

Returns the region.

Member Data Documentation

◆ wrappedClass_

CppWrapperInternal::WrappedClass eVision::EasyDeepLearning::ESupervisedSegmenterResult::wrappedClass_

Public Member Functions

Public Attributes

Detailed Description

Constructor & Destructor Documentation

◆ ESupervisedSegmenterResult() [1/3]

◆ ESupervisedSegmenterResult() [2/3]

◆ ~ESupervisedSegmenterResult()

◆ ESupervisedSegmenterResult() [3/3]

Member Function Documentation

◆ Draw() [1/15]

◆ Draw() [2/15]

◆ Draw() [3/15]

◆ Draw() [4/15]

◆ Draw() [5/15]

◆ Draw() [6/15]

◆ Draw() [7/15]

◆ Draw() [8/15]

◆ Draw() [9/15]

◆ Draw() [10/15]

◆ Draw() [11/15]

◆ Draw() [12/15]

◆ Draw() [13/15]

◆ Draw() [14/15]

◆ Draw() [15/15]

◆ GetBlobs() [1/2]

◆ GetBlobs() [2/2]

◆ GetClassificationThreshold()

◆ GetCodedImage()

◆ GetColorizedSegmentation()

◆ GetColorizedSegmentationWithTransparency()

◆ GetFrame()

◆ GetGroundtruthSegmentationMap()

◆ GetHeight()

◆ GetImageMetrics()

◆ GetLabel()

◆ GetLabelColor() [1/2]

◆ GetLabelColor() [2/2]

◆ GetNumBlobs() [1/2]

◆ GetNumBlobs() [2/2]

◆ GetNumLabels()

◆ GetProbabilityMap()

◆ GetRegionForLabel()

◆ GetScore()

◆ GetSegmentationMap()

◆ GetWidth()

◆ HasForegroundSegments()

◆ HasGroundtruthSegmentation()

◆ IsValid()

◆ operator=()

◆ RemoveGroundtruthSegmentation()

◆ SetClassificationThreshold()

◆ SetFrame()

◆ SetGroundtruthSegmentationMap()

◆ ToRegion()

Member Data Documentation

◆ wrappedClass_