Expand description
Modules
Structs
- Kalman filter class.
Constants
Traits
- Base class for background/foreground segmentation. :
- Constant methods for crate::video::BackgroundSubtractor
- K-nearest neighbours - based Background/Foreground Segmentation Algorithm.
- Constant methods for crate::video::BackgroundSubtractorKNN
- Gaussian Mixture-based Background/Foreground Segmentation Algorithm.
- Constant methods for crate::video::BackgroundSubtractorMOG2
- DIS optical flow algorithm.
- Constant methods for crate::video::DISOpticalFlow
- Base class for dense optical flow algorithms
- Constant methods for crate::video::DenseOpticalFlow
- Class computing a dense optical flow using the Gunnar Farneback’s algorithm.
- Constant methods for crate::video::FarnebackOpticalFlow
- Mutable methods for crate::video::KalmanFilter
- Constant methods for crate::video::KalmanFilter
- Base interface for sparse optical flow algorithms.
- Constant methods for crate::video::SparseOpticalFlow
- Class used for calculating a sparse optical flow.
- Constant methods for crate::video::SparsePyrLKOpticalFlow
- Base abstract class for the long-term tracker
- Constant methods for crate::video::Tracker
- Constant methods for crate::video::TrackerDaSiamRPN
- Mutable methods for crate::video::TrackerDaSiamRPN_Params
- Constant methods for crate::video::TrackerDaSiamRPN_Params
- the GOTURN (Generic Object Tracking Using Regression Networks) tracker
- Constant methods for crate::video::TrackerGOTURN
- Mutable methods for crate::video::TrackerGOTURN_Params
- Constant methods for crate::video::TrackerGOTURN_Params
- The MIL algorithm trains a classifier in an online manner to separate the object from the background.
- Constant methods for crate::video::TrackerMIL
- the Nano tracker is a super lightweight dnn-based general object tracking.
- Constant methods for crate::video::TrackerNano
- Mutable methods for crate::video::TrackerNano_Params
- Constant methods for crate::video::TrackerNano_Params
- Variational optical flow refinement
- Constant methods for crate::video::VariationalRefinement
Functions
- Constructs the image pyramid which can be passed to calcOpticalFlowPyrLK.
- Computes a dense optical flow using the Gunnar Farneback’s algorithm.
- Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with pyramids.
- Finds an object center, size, and orientation.
- Computes the Enhanced Correlation Coefficient value between two images EP08 .
- Creates KNN Background Subtractor
- Creates MOG2 Background Subtractor
- estimate_rigid_transformDeprecatedComputes an optimal affine transformation between two 2D point sets.
- Finds the geometric transform (warp) between two images in terms of the ECC criterion EP08 .
- Finds the geometric transform (warp) between two images in terms of the ECC criterion EP08 .
- Finds an object on a back projection image.
- Read a .flo file
- Write a .flo to disk