Field Detail

• CASCADE_DO_CANNY_PRUNING

  public static final int CASCADE_DO_CANNY_PRUNING

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  Constant Field Values

• CASCADE_DO_ROUGH_SEARCH

  public static final int CASCADE_DO_ROUGH_SEARCH

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  Constant Field Values

• CASCADE_FIND_BIGGEST_OBJECT

  public static final int CASCADE_FIND_BIGGEST_OBJECT

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  Constant Field Values

• CASCADE_SCALE_IMAGE

  public static final int CASCADE_SCALE_IMAGE

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  Constant Field Values

Constructor Detail

• Objdetect

  public Objdetect()

Method Detail

• groupRectangles

  public static void groupRectangles(MatOfRect rectList,
                     MatOfInt weights,
                     int groupThreshold)

  Groups the object candidate rectangles.

  The function is a wrapper for the generic function "partition". It clusters all the input rectangles using the rectangle equivalence criteria that combines rectangles with similar sizes and similar locations. The similarity is defined by eps. When eps=0, no clustering is done at all. If eps-> +inf, all the rectangles are put in one cluster. Then, the small clusters containing less than or equal to groupThreshold rectangles are rejected. In each other cluster, the average rectangle is computed and put into the output rectangle list.

  Parameters:

  rectList - Input/output vector of rectangles. Output vector includes retained and grouped rectangles. (The Python list is not modified in place.)

  weights - a weights

  groupThreshold - Minimum possible number of rectangles minus 1. The threshold is used in a group of rectangles to retain it.

  See Also:

  org.opencv.objdetect.Objdetect.groupRectangles

• groupRectangles

  public static void groupRectangles(MatOfRect rectList,
                     MatOfInt weights,
                     int groupThreshold,
                     double eps)

  Groups the object candidate rectangles.

  The function is a wrapper for the generic function "partition". It clusters all the input rectangles using the rectangle equivalence criteria that combines rectangles with similar sizes and similar locations. The similarity is defined by eps. When eps=0, no clustering is done at all. If eps-> +inf, all the rectangles are put in one cluster. Then, the small clusters containing less than or equal to groupThreshold rectangles are rejected. In each other cluster, the average rectangle is computed and put into the output rectangle list.

  Parameters:

  rectList - Input/output vector of rectangles. Output vector includes retained and grouped rectangles. (The Python list is not modified in place.)

  weights - a weights

  groupThreshold - Minimum possible number of rectangles minus 1. The threshold is used in a group of rectangles to retain it.

  eps - Relative difference between sides of the rectangles to merge them into a group.

  See Also:

  org.opencv.objdetect.Objdetect.groupRectangles