the VIT tracker is a super lightweight dnn-based general object tracking.
More...
#include <opencv2/video/tracking.hpp>
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
◆ TrackerVit()
cv::TrackerVit::TrackerVit |
( |
| ) |
|
|
protected |
◆ ~TrackerVit()
virtual cv::TrackerVit::~TrackerVit |
( |
| ) |
|
|
virtual |
◆ create()
Python: |
---|
| cv.TrackerVit.create( | [, parameters] | ) -> | retval |
| cv.TrackerVit_create( | [, parameters] | ) -> | retval |
◆ getTrackingScore()
virtual float cv::TrackerVit::getTrackingScore |
( |
| ) |
|
|
pure virtual |
Python: |
---|
| cv.TrackerVit.getTrackingScore( | | ) -> | retval |
The documentation for this class was generated from the following file: