Package org.opencv.ximgproc

Class EdgeBoxes

java.lang.Object

org.opencv.core.Algorithm

org.opencv.ximgproc.EdgeBoxes

public class EdgeBoxes
extends Algorithm

Class implementing EdgeBoxes algorithm from CITE: ZitnickECCV14edgeBoxes :

Field Summary

Fields inherited from class org.opencv.core.Algorithm

nativeObj

Constructor Summary

Constructors

Modifier	Constructor	Description
protected	EdgeBoxes(long addr)

Method Summary

Modifier and Type	Method	Description
static EdgeBoxes	__fromPtr__(long addr)
protected void	finalize()
float	getAlpha()	Returns the step size of sliding window search.
float	getBeta()	Returns the nms threshold for object proposals.
void	getBoundingBoxes(Mat edge_map, Mat orientation_map, MatOfRect boxes)	Returns array containing proposal boxes.
void	getBoundingBoxes(Mat edge_map, Mat orientation_map, MatOfRect boxes, Mat scores)	Returns array containing proposal boxes.
float	getClusterMinMag()	Returns the cluster min magnitude.
float	getEdgeMergeThr()	Returns the edge merge threshold.
float	getEdgeMinMag()	Returns the edge min magnitude.
float	getEta()	Returns adaptation rate for nms threshold.
float	getGamma()	Returns the affinity sensitivity.
float	getKappa()	Returns the scale sensitivity.
float	getMaxAspectRatio()	Returns the max aspect ratio of boxes.
int	getMaxBoxes()	Returns the max number of boxes to detect.
float	getMinBoxArea()	Returns the minimum area of boxes.
float	getMinScore()	Returns the min score of boxes to detect.
void	setAlpha(float value)	Sets the step size of sliding window search.
void	setBeta(float value)	Sets the nms threshold for object proposals.
void	setClusterMinMag(float value)	Sets the cluster min magnitude.
void	setEdgeMergeThr(float value)	Sets the edge merge threshold.
void	setEdgeMinMag(float value)	Sets the edge min magnitude.
void	setEta(float value)	Sets the adaptation rate for nms threshold.
void	setGamma(float value)	Sets the affinity sensitivity
void	setKappa(float value)	Sets the scale sensitivity.
void	setMaxAspectRatio(float value)	Sets the max aspect ratio of boxes.
void	setMaxBoxes(int value)	Sets max number of boxes to detect.
void	setMinBoxArea(float value)	Sets the minimum area of boxes.
void	setMinScore(float value)	Sets the min score of boxes to detect.

Methods inherited from class org.opencv.core.Algorithm

clear, empty, getDefaultName, getNativeObjAddr, save

Methods inherited from class java.lang.Object

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

Constructor Detail

EdgeBoxes

protected EdgeBoxes(long addr)

Method Detail

__fromPtr__

public static EdgeBoxes __fromPtr__(long addr)

getBoundingBoxes

public void getBoundingBoxes(Mat edge_map,
                             Mat orientation_map,
                             MatOfRect boxes,
                             Mat scores)

Returns array containing proposal boxes.

Parameters:

edge_map - edge image.

orientation_map - orientation map.

boxes - proposal boxes.

scores - of the proposal boxes, provided a vector of float types.

getBoundingBoxes

public void getBoundingBoxes(Mat edge_map,
                             Mat orientation_map,
                             MatOfRect boxes)

Returns array containing proposal boxes.

Parameters:

edge_map - edge image.

orientation_map - orientation map.

boxes - proposal boxes.

getAlpha

public float getAlpha()

Returns the step size of sliding window search.

Returns:

automatically generated

setAlpha

public void setAlpha(float value)

Sets the step size of sliding window search.

Parameters:

value - automatically generated

getBeta

public float getBeta()

Returns the nms threshold for object proposals.

Returns:

automatically generated

setBeta

public void setBeta(float value)

Sets the nms threshold for object proposals.

Parameters:

value - automatically generated

getEta

public float getEta()

Returns adaptation rate for nms threshold.

Returns:

automatically generated

setEta

public void setEta(float value)

Sets the adaptation rate for nms threshold.

Parameters:

value - automatically generated

getMinScore

public float getMinScore()

Returns the min score of boxes to detect.

Returns:

automatically generated

setMinScore

public void setMinScore(float value)

Sets the min score of boxes to detect.

Parameters:

value - automatically generated

getMaxBoxes

public int getMaxBoxes()

Returns the max number of boxes to detect.

Returns:

automatically generated

setMaxBoxes

public void setMaxBoxes(int value)

Sets max number of boxes to detect.

Parameters:

value - automatically generated

getEdgeMinMag

public float getEdgeMinMag()

Returns the edge min magnitude.

Returns:

automatically generated

setEdgeMinMag

public void setEdgeMinMag(float value)

Sets the edge min magnitude.

Parameters:

value - automatically generated

getEdgeMergeThr

public float getEdgeMergeThr()

Returns the edge merge threshold.

Returns:

automatically generated

setEdgeMergeThr

public void setEdgeMergeThr(float value)

Sets the edge merge threshold.

Parameters:

value - automatically generated

getClusterMinMag

public float getClusterMinMag()

Returns the cluster min magnitude.

Returns:

automatically generated

setClusterMinMag

public void setClusterMinMag(float value)

Sets the cluster min magnitude.

Parameters:

value - automatically generated

getMaxAspectRatio

public float getMaxAspectRatio()

Returns the max aspect ratio of boxes.

Returns:

automatically generated

setMaxAspectRatio

public void setMaxAspectRatio(float value)

Sets the max aspect ratio of boxes.

Parameters:

value - automatically generated

getMinBoxArea

public float getMinBoxArea()

Returns the minimum area of boxes.

Returns:

automatically generated

setMinBoxArea

public void setMinBoxArea(float value)

Sets the minimum area of boxes.

Parameters:

value - automatically generated

getGamma

public float getGamma()

Returns the affinity sensitivity.

Returns:

automatically generated

setGamma

public void setGamma(float value)

Sets the affinity sensitivity

Parameters:

value - automatically generated

getKappa

public float getKappa()

Returns the scale sensitivity.

Returns:

automatically generated

setKappa

public void setKappa(float value)

Sets the scale sensitivity.

Parameters:

value - automatically generated

finalize

protected void finalize()
                 throws Throwable

Overrides:

finalize in class Algorithm

Throws:

Throwable