OpenCV for Unity
2.6.0
Enox Software / Please refer to OpenCV official document ( http://docs.opencv.org/4.9.0/index.html ) for the details of the argument of the method.
|
the GOTURN (Generic Object Tracking Using Regression Networks) tracker More...
Static Public Member Functions | |
static new TrackerGOTURN | __fromPtr__ (IntPtr addr) |
static TrackerGOTURN | create (TrackerGOTURN_Params parameters) |
Constructor. More... | |
static TrackerGOTURN | create () |
Constructor. More... | |
Static Public Member Functions inherited from OpenCVForUnity.VideoModule.Tracker | |
static Tracker | __fromPtr__ (IntPtr addr) |
Static Public Member Functions inherited from OpenCVForUnity.DisposableObject | |
static IntPtr | ThrowIfNullIntPtr (IntPtr ptr) |
Protected Member Functions | |
override void | Dispose (bool disposing) |
Protected Member Functions inherited from OpenCVForUnity.DisposableOpenCVObject | |
DisposableOpenCVObject () | |
DisposableOpenCVObject (IntPtr ptr) | |
DisposableOpenCVObject (bool isEnabledDispose) | |
DisposableOpenCVObject (IntPtr ptr, bool isEnabledDispose) | |
Protected Member Functions inherited from OpenCVForUnity.DisposableObject | |
DisposableObject () | |
DisposableObject (bool isEnabledDispose) | |
Additional Inherited Members | |
Public Member Functions inherited from OpenCVForUnity.VideoModule.Tracker | |
IntPtr | getNativeObjAddr () |
void | init (Mat image, Rect boundingBox) |
Initialize the tracker with a known bounding box that surrounded the target. More... | |
bool | update (Mat image, Rect boundingBox) |
Update the tracker, find the new most likely bounding box for the target. More... | |
Public Member Functions inherited from OpenCVForUnity.DisposableObject | |
void | Dispose () |
void | ThrowIfDisposed () |
Properties inherited from OpenCVForUnity.DisposableObject | |
bool | IsDisposed [get, protected set] |
bool | IsEnabledDispose [get, set] |
the GOTURN (Generic Object Tracking Using Regression Networks) tracker
GOTURN ([GOTURN]) is kind of trackers based on Convolutional Neural Networks (CNN). While taking all advantages of CNN trackers, GOTURN is much faster due to offline training without online fine-tuning nature. GOTURN tracker addresses the problem of single target tracking: given a bounding box label of an object in the first frame of the video, we track that object through the rest of the video. NOTE: Current method of GOTURN does not handle occlusions; however, it is fairly robust to viewpoint changes, lighting changes, and deformations. Inputs of GOTURN are two RGB patches representing Target and Search patches resized to 227x227. Outputs of GOTURN are predicted bounding box coordinates, relative to Search patch coordinate system, in format X1,Y1,X2,Y2. Original paper is here: <http://davheld.github.io/GOTURN/GOTURN.pdf> As long as original authors implementation: <https://github.com/davheld/GOTURN#train-the-tracker> Implementation of training algorithm is placed in separately here due to 3d-party dependencies: <https://github.com/Auron-X/GOTURN_Training_Toolkit> GOTURN architecture goturn.prototxt and trained model goturn.caffemodel are accessible on opencv_extra GitHub repository.
|
static |
|
static |
Constructor.
parameters | GOTURN parameters TrackerGOTURN::Params |
|
static |
Constructor.
parameters | GOTURN parameters TrackerGOTURN::Params |
|
protectedvirtual |
Reimplemented from OpenCVForUnity.VideoModule.Tracker.