the Nano tracker is a super lightweight dnn-based general object tracking.
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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
◆ __fromPtr__()
static new TrackerNano OpenCVForUnity.VideoModule.TrackerNano.__fromPtr__ |
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◆ create() [1/2]
Constructor.
- Parameters
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parameters | NanoTrack parameters TrackerNano::Params |
◆ create() [2/2]
static TrackerNano OpenCVForUnity.VideoModule.TrackerNano.create |
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Constructor.
- Parameters
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parameters | NanoTrack parameters TrackerNano::Params |
◆ Dispose()
override void OpenCVForUnity.VideoModule.TrackerNano.Dispose |
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bool |
disposing | ) |
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protectedvirtual |
◆ getTrackingScore()
float OpenCVForUnity.VideoModule.TrackerNano.getTrackingScore |
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The documentation for this class was generated from the following file: