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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◆ ~TrackerNano()
  
  
      
        
          | virtual cv::TrackerNano::~TrackerNano  | 
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◆ 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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 | cv.TrackerNano.getTrackingScore( |  | ) ->  | retval | 
 
 
The documentation for this class was generated from the following file: