This is a base class for all more or less complex algorithms in OpenCV especially for classes of algorithms, for which there can be multiple implemen

Abstract base class for training the bag of visual words vocabulary from a set of descriptors. For details, see, for example, Visual Categorization w

* Index parameters for the CompositeIndex. */

Abstract base class for 2D image feature detectors and descriptor extractors

This interface class allows to build new Layers - are building blocks of networks. Each class, derived from Layer, must implement allocate() methods

The structure represents the logarithmic grid range of statmodel parameters. It is used for optimizing statmodel accuracy by varying model parameters

Class implementing the AKAZE keypoint detector and descriptor extractor, described in CITE: ANB13. AKAZE descriptors can only be used with KAZE or AK

Artificial Neural Networks - Multi-Layer Perceptrons. Unlike many other models in ML that are constructed and trained at once, in the MLP model these