the VIT tracker is a super lightweight dnn-based general object tracking.
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float | getTrackingScore () |
| Return tracking score.
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IntPtr | getNativeObjAddr () |
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void | init (Mat image, in Vec4i boundingBox) |
| Initialize the tracker with a known bounding box that surrounded the target.
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void | init (Mat image, in(int x, int y, int width, int height) boundingBox) |
| Initialize the tracker with a known bounding box that surrounded the target.
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void | init (Mat image, Rect boundingBox) |
| Initialize the tracker with a known bounding box that surrounded the target.
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bool | update (Mat image, out Vec4i boundingBox) |
| Update the tracker, find the new most likely bounding box for the target.
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bool | update (Mat image, out(int x, int y, int width, int height) boundingBox) |
| Update the tracker, find the new most likely bounding box for the target.
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bool | update (Mat image, Rect boundingBox) |
| Update the tracker, find the new most likely bounding box for the target.
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void | Dispose () |
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void | ThrowIfDisposed () |
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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
◆ __fromPtr__()
static new TrackerVit OpenCVForUnity.VideoModule.TrackerVit.__fromPtr__ |
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IntPtr | addr | ) |
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◆ create() [1/2]
static TrackerVit OpenCVForUnity.VideoModule.TrackerVit.create |
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Constructor.
- Parameters
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parameters | vit tracker parameters TrackerVit::Params |
◆ create() [2/2]
Constructor.
- Parameters
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parameters | vit tracker parameters TrackerVit::Params |
◆ Dispose()
override void OpenCVForUnity.VideoModule.TrackerVit.Dispose |
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bool | disposing | ) |
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◆ getTrackingScore()
float OpenCVForUnity.VideoModule.TrackerVit.getTrackingScore |
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The documentation for this class was generated from the following file:
- OpenCVForUnity/Assets/OpenCVForUnity/org/opencv/video/TrackerVit.cs