Class cv::TrackerNano#
the Nano tracker is a super lightweight dnn-based general object tracking. View details
#include <opencv2/video/tracking.hpp>Collaboration diagram for cv::TrackerNano:
Public Member Functions#
Public Member Functions inherited from cv::Tracker
Return |
Name |
Description |
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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
Return |
Name |
Description |
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Detailed Description#
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: HonglinChu/SiamTrackers Original repo is here: HonglinChu/NanoTrack Author: HongLinChu, 1628464345@qq.com
Constructor & Destructor Documentation#
TrackerNano()#
~TrackerNano()#
Member Function Documentation#
create()#
static Ptr< TrackerNano > cv::TrackerNano::create(const TrackerNano::Params & parameters = TrackerNano::Params())
Python:
cv.TrackerNano.create([, parameters]) -> retval
cv.TrackerNano.create(backbone, neckhead) -> retval
cv.TrackerNano_create([, parameters]) -> retval
cv.TrackerNano_create(backbone, neckhead) -> retval
Constructor.
Parameters
parameters— NanoTrack parameters TrackerNano::Params
Source file#
The documentation for this class was generated from the following file:
opencv2/video/tracking.hpp