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Class BOWTrainer

For details, see, for example, Visual Categorization with Bags of Keypoints by Gabriella Csurka, Christopher R. Dance, Lixin Fan, Jutta Willamowski, Cedric Bray, 2004. :

Source: opencv2/features2d.hpp.

Hierarchy

  • BOWTrainer

Index

Constructors

Methods

Constructors

constructor

Methods

add

  • The training set is clustered using clustermethod to construct the vocabulary.

    Parameters

    • descriptors: Mat

      Descriptors to add to a training set. Each row of the descriptors matrix is a descriptor.

    Returns Mat

clear

  • clear(): void

cluster

  • cluster(): Mat
  • cluster(descriptors: Mat): Mat

  • This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

    Returns Mat

  • 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.

    Parameters

    • descriptors: Mat

      Descriptors to cluster. Each row of the descriptors matrix is a descriptor. Descriptors are not added to the inner train descriptor set.

    Returns Mat

descriptorsCount

  • descriptorsCount(): int

getDescriptors

  • getDescriptors(): Mat

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