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