Creates an instance of PCAFlow

obj = cv.OpticalFlowPCAFlow()
obj = cv.OpticalFlowPCAFlow('OptionName',optionValue, ...)

Options

• Prior Learned prior or no prior (default). Specified as a path to prior. This instantiates a class used for imposing a learned prior on the resulting optical flow. Solution will be regularized according to this prior. You need to generate appropriate prior file with "learn_prior.py" script beforehand.
• BasisSize Number of basis vectors. default [18,14]
• SparseRate Controls density of sparse matches. default 0.024
• RetainedCornersFraction Retained corners fraction. default 0.2
• OcclusionsThreshold Occlusion threshold. default 0.0003
• DampingFactor Regularization term for solving least-squares. It is not related to the prior regularization. default 0.00002
• ClaheClip Clip parameter for CLAHE. default 14