org.opencv.objdetect

Class Objdetect

java.lang.Object

org.opencv.objdetect.Objdetect

public class Objdetect
extends java.lang.Object

Field Summary

Fields

Modifier and Type	Field and Description
static int	CASCADE_DO_CANNY_PRUNING
static int	CASCADE_DO_ROUGH_SEARCH
static int	CASCADE_FIND_BIGGEST_OBJECT
static int	CASCADE_SCALE_IMAGE

Constructor Summary

Constructors

Constructor and Description
Objdetect()

Method Summary

Methods

Modifier and Type	Method and Description
static void	groupRectangles(MatOfRect rectList, MatOfInt weights, int groupThreshold) Groups the object candidate rectangles.
static void	groupRectangles(MatOfRect rectList, MatOfInt weights, int groupThreshold, double eps) Groups the object candidate rectangles.

Methods inherited from class java.lang.Object

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

Field Detail

CASCADE_DO_CANNY_PRUNING

public static final int CASCADE_DO_CANNY_PRUNING

See Also:

Constant Field Values

CASCADE_DO_ROUGH_SEARCH

public static final int CASCADE_DO_ROUGH_SEARCH

See Also:

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

See Also:

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