|  | OpenCV
    4.1.0
    Open Source Computer Vision | 
#include "opencv2/core.hpp"#include "opencv2/flann/miniflann.hpp"#include "opencv2/flann/flann_base.hpp"| Classes | |
| struct | cv::flann::CvType< T > | 
| struct | cv::flann::CvType< char > | 
| struct | cv::flann::CvType< double > | 
| struct | cv::flann::CvType< float > | 
| struct | cv::flann::CvType< short > | 
| struct | cv::flann::CvType< unsigned char > | 
| struct | cv::flann::CvType< unsigned short > | 
| class | cv::flann::GenericIndex< Distance > | 
| The FLANN nearest neighbor index class. This class is templated with the type of elements for which the index is built.  More... | |
| class | cv::flann::Index_< T > | 
| Namespaces | |
| namespace | cv | 
| "black box" representation of the file storage associated with a file on disk. | |
| namespace | cv::flann | 
| namespace | cvflann | 
| Macros | |
| #define | FLANN_DISTANCE_CHECK | 
| Functions | |
| flann_distance_t | cvflann::flann_distance_type () | 
| template<typename Distance > | |
| int | cv::flann::hierarchicalClustering (const Mat &features, Mat ¢ers, const ::cvflann::KMeansIndexParams ¶ms, Distance d=Distance()) | 
| Clusters features using hierarchical k-means algorithm. | |
| template<typename ELEM_TYPE , typename DIST_TYPE > | |
| int | cv::flann::hierarchicalClustering (const Mat &features, Mat ¢ers, const ::cvflann::KMeansIndexParams ¶ms) | 
| void | cvflann::set_distance_type (flann_distance_t distance_type, int order) | 
| #define FLANN_DISTANCE_CHECK | 
 1.8.3
 1.8.3