Package org.opencv.features2d

Class BOWTrainer

java.lang.Object
org.opencv.features2d.BOWTrainer
Direct Known Subclasses:
BOWKMeansTrainer
public class BOWTrainer extends Object
Abstract base class for training the *bag of visual words* vocabulary from a set of descriptors. For details, see, for example, *Visual Categorization with Bags of Keypoints* by Gabriella Csurka, Christopher R. Dance, Lixin Fan, Jutta Willamowski, Cedric Bray, 2004. :

  • Method Details

    • getNativeObjAddr

      public long getNativeObjAddr()

    • __fromPtr__

      public static BOWTrainer __fromPtr__(long addr)

    • add

      public void add(Mat descriptors)
      Adds descriptors to a training set.
      Parameters:
      descriptors - Descriptors to add to a training set. Each row of the descriptors matrix is a descriptor. The training set is clustered using clustermethod to construct the vocabulary.

    • getDescriptors

      public List<Mat> getDescriptors()
      Returns a training set of descriptors.
      Returns:
      automatically generated

    • descriptorsCount

      public int descriptorsCount()
      Returns the count of all descriptors stored in the training set.
      Returns:
      automatically generated

    • clear

      public void clear()

    • cluster

      public Mat cluster()

    • cluster

      public Mat cluster(Mat descriptors)
      Clusters train descriptors.
      Parameters:
      descriptors - Descriptors to cluster. Each row of the descriptors matrix is a descriptor. Descriptors are not added to the inner train descriptor set. The vocabulary consists of cluster centers. So, this method returns the vocabulary. In the first variant of the method, train descriptors stored in the object are clustered. In the second variant, input descriptors are clustered.
      Returns:
      automatically generated