org.opencv.saliency

Class ObjectnessBING

java.lang.Object

org.opencv.core.Algorithm

org.opencv.saliency.Saliency

org.opencv.saliency.Objectness

org.opencv.saliency.ObjectnessBING

public class ObjectnessBING
extends Objectness

the Binarized normed gradients algorithm from CITE: BING

Field Summary

Fields inherited from class org.opencv.core.Algorithm

nativeObj

Constructor Summary

Constructors

Modifier	Constructor and Description
protected	ObjectnessBING(long addr)

Method Summary

Modifier and Type	Method and Description
static ObjectnessBING	__fromPtr__(long addr)
boolean	computeSaliency(Mat image, Mat saliencyMap) Compute the saliency \param image The image.
static ObjectnessBING	create()
protected void	finalize()
double	getBase()
int	getNSS()
MatOfFloat	getobjectnessValues() Return the list of the rectangles' objectness value, in the same order as the *vector<Vec4i> objectnessBoundingBox* returned by the algorithm (in computeSaliencyImpl function).
int	getW()
void	setBase(double val)
void	setBBResDir(String resultsDir) This is a utility function that allows to set an arbitrary path in which the algorithm will save the optional results (ie writing on file the total number and the list of rectangles returned by objectess, one for each row).
void	setNSS(int val)
void	setTrainingPath(String trainingPath) This is a utility function that allows to set the correct path from which the algorithm will load the trained model.
void	setW(int val)

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

ObjectnessBING

protected ObjectnessBING(long addr)

Method Detail

__fromPtr__

public static ObjectnessBING __fromPtr__(long addr)

create

public static ObjectnessBING create()

computeSaliency

public boolean computeSaliency(Mat image,
                               Mat saliencyMap)

Description copied from class: Saliency

Compute the saliency \param image The image. \param saliencyMap The computed saliency map. \return true if the saliency map is computed, false otherwise

Overrides:

computeSaliency in class Saliency

Parameters:

image - automatically generated

saliencyMap - automatically generated

Returns:

automatically generated

getobjectnessValues

public MatOfFloat getobjectnessValues()

Return the list of the rectangles' objectness value, in the same order as the *vector<Vec4i> objectnessBoundingBox* returned by the algorithm (in computeSaliencyImpl function). The bigger value these scores are, it is more likely to be an object window.

Returns:

automatically generated

setTrainingPath

public void setTrainingPath(String trainingPath)

This is a utility function that allows to set the correct path from which the algorithm will load the trained model.

Parameters:

trainingPath - trained model path

setBBResDir

public void setBBResDir(String resultsDir)

This is a utility function that allows to set an arbitrary path in which the algorithm will save the optional results (ie writing on file the total number and the list of rectangles returned by objectess, one for each row).

Parameters:

resultsDir - results' folder path

getBase

public double getBase()

setBase

public void setBase(double val)

getNSS

public int getNSS()

setNSS

public void setNSS(int val)

getW

public int getW()

setW

public void setW(int val)

finalize

protected void finalize()
                 throws Throwable

Overrides:

finalize in class Objectness

Throws:

Throwable