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

#include <opencv2/video/tracking.hpp>

Inheritance diagram for cv::TrackerVit:

Collaboration diagram for cv::TrackerVit:

Public Member Functions
virtual	~TrackerVit () 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< TrackerVit >	create (const TrackerVit::Params &parameters=TrackerVit::Params())
	Constructor.

Protected Member Functions
	TrackerVit ()

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

Detailed Description

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

VIT tracker is much faster and extremely lightweight due to special model structure, the model file is about 767KB. Model download link: https://github.com/opencv/opencv_zoo/tree/main/models/object_tracking_vittrack Author: PengyuLiu, 18729.nosp@m.1850.nosp@m.7@qq..nosp@m.com

Constructor & Destructor Documentation

cv::TrackerVit::TrackerVit ( )

protected

virtual cv::TrackerVit::~TrackerVit ( )

virtual

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

static

Python:
	cv.TrackerVit.create(	[, parameters]	) ->	retval
	cv.TrackerVit_create(	[, parameters]	) ->	retval

Constructor.

Parameters

parameters vit tracker parameters TrackerVit::Params

virtual float cv::TrackerVit::getTrackingScore ( )

pure virtual

Python:
	cv.TrackerVit.getTrackingScore(		) ->	retval

Return tracking score.

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