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the Nano tracker is a super lightweight dnn-based general object tracking. More...

#include <opencv2/video/tracking.hpp>

Inheritance diagram for cv::TrackerNano:
cv::Tracker

Classes

struct  Params
 

Public Member Functions

virtual ~TrackerNano () CV_OVERRIDE
 
virtual float getTrackingScore ()=0
 Return tracking score.
 
- Public Member Functions inherited from cv::Tracker
virtual ~Tracker ()
 
virtual void init (InputArray image, const Rect &boundingBox)=0
 Initialize the tracker with a known bounding box that surrounded the target.
 
virtual bool update (InputArray image, Rect &boundingBox)=0
 Update the tracker, find the new most likely bounding box for the target.
 

Static Public Member Functions

static Ptr< TrackerNanocreate (const TrackerNano::Params &parameters=TrackerNano::Params())
 Constructor.
 

Protected Member Functions

 TrackerNano ()
 
- Protected Member Functions inherited from cv::Tracker
 Tracker ()
 

Detailed Description

the Nano tracker is a super lightweight dnn-based general object tracking.

Nano tracker is much faster and extremely lightweight due to special model structure, the whole model size is about 1.9 MB. Nano tracker needs two models: one for feature extraction (backbone) and the another for localization (neckhead). Model download link: https://github.com/HonglinChu/SiamTrackers/tree/master/NanoTrack/models/nanotrackv2 Original repo is here: https://github.com/HonglinChu/NanoTrack Author: HongLinChu, 16284.nosp@m.6434.nosp@m.5@qq..nosp@m.com

Constructor & Destructor Documentation

◆ TrackerNano()

cv::TrackerNano::TrackerNano ( )
protected

◆ ~TrackerNano()

virtual cv::TrackerNano::~TrackerNano ( )
virtual

Member Function Documentation

◆ create()

static Ptr< TrackerNano > cv::TrackerNano::create ( const TrackerNano::Params parameters = TrackerNano::Params())
static

Constructor.

Parameters
parametersNanoTrack parameters TrackerNano::Params

◆ getTrackingScore()

virtual float cv::TrackerNano::getTrackingScore ( )
pure virtual

Return tracking score.


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