Class ObjectnessBING

Method Details

• __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)