Struct cv::ALIKED::Params#

#include <opencv2/features.hpp>

Collaboration diagram for cv::ALIKED::Params:

cv::ALIKED::Params Node1 cv::ALIKED::Params   + Params() Node2 cv::Size_< _Tp >   + Size_() + Size_() + Size_() + Size_() + Size_() + area() + aspectRatio() + empty() + operator Size_< _Tp2 >() + operator=() + operator=() Node2->Node1 +inputSize Node3 _Tp     Node3->Node2 +height +width Node4 bool     Node4->Node1 +normalizeDescriptors Node5 int     Node5->Node1 +backend +engine +target

cv::ALIKED::Params Node1 cv::ALIKED::Params   + Params() Node2 cv::Size_< _Tp >   + Size_() + Size_() + Size_() + Size_() + Size_() + area() + aspectRatio() + empty() + operator Size_< _Tp2 >() + operator=() + operator=() Node2->Node1 +inputSize Node3 _Tp     Node3->Node2 +height +width Node4 bool     Node4->Node1 +normalizeDescriptors Node5 int     Node5->Node1 +backend +engine +target

Constructor & Destructor Documentation#

Params()#

cv::ALIKED::Params::Params()

Python:

cv.ALIKED.Params() -> <ALIKED_Params object>

Member Data Documentation#

backend#

int cv::ALIKED::Params::backend

DNN backend, default DNN_BACKEND_DEFAULT.

engine#

int cv::ALIKED::Params::engine

DNN engine type (dnn::EngineType), default ENGINE_NEW.

inputSize#

Size cv::ALIKED::Params::inputSize

Input image size for the network, default 640x640.

normalizeDescriptors#

bool cv::ALIKED::Params::normalizeDescriptors

Whether to L2-normalize descriptors, default true.

target#

int cv::ALIKED::Params::target

DNN target, default DNN_TARGET_CPU.

Source file#

The documentation for this struct was generated from the following file: