OpenCV
4.1.0
Open Source Computer Vision
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#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 |