Class cv::TrackerVit#
the VIT tracker is a super lightweight dnn-based general object tracking. View details
#include <opencv2/video/tracking.hpp>Collaboration diagram for cv::TrackerVit:
Public Member Functions#
Public Member Functions inherited from cv::Tracker
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Return tracking score. |
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Initialize the tracker with a known bounding box that surrounded the target. |
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Update the tracker, find the new most likely bounding box for the target. |
Additional Inherited Members#
Protected Member Functions inherited from cv::Tracker
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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: opencv/opencv_zoo Author: PengyuLiu, 1872918507@qq.com
Constructor & Destructor Documentation#
TrackerVit()#
~TrackerVit()#
Member Function Documentation#
create()#
static Ptr< TrackerVit > cv::TrackerVit::create(const TrackerVit::Params & parameters = TrackerVit::Params())
Python:
cv.TrackerVit.create([, parameters]) -> retval
cv.TrackerVit.create(model[, meanvalue[, stdvalue[, tracking_score_threshold]]]) -> retval
cv.TrackerVit_create([, parameters]) -> retval
cv.TrackerVit_create(model[, meanvalue[, stdvalue[, tracking_score_threshold]]]) -> retval
Constructor.
Parameters
parameters— vit tracker parameters TrackerVit::Params
Source file#
The documentation for this class was generated from the following file:
opencv2/video/tracking.hpp