Trait opencv::cudaoptflow::CUDA_SparseOpticalFlow

pub trait CUDA_SparseOpticalFlow: AlgorithmTrait + CUDA_SparseOpticalFlowConst {
    // Required method
    fn as_raw_mut_CUDA_SparseOpticalFlow(&mut self) -> *mut c_void;

    // Provided method
    fn calc(
        &mut self,
        prev_img: &dyn ToInputArray,
        next_img: &dyn ToInputArray,
        prev_pts: &dyn ToInputArray,
        next_pts: &mut dyn ToInputOutputArray,
        status: &mut dyn ToOutputArray,
        err: &mut dyn ToOutputArray,
        stream: &mut Stream
    ) -> Result<()> { ... }
}

Base interface for sparse optical flow algorithms.

Required Methods

fn as_raw_mut_CUDA_SparseOpticalFlow(&mut self) -> *mut c_void

Provided Methods

fn calc( &mut self, prev_img: &dyn ToInputArray, next_img: &dyn ToInputArray, prev_pts: &dyn ToInputArray, next_pts: &mut dyn ToInputOutputArray, status: &mut dyn ToOutputArray, err: &mut dyn ToOutputArray, stream: &mut Stream ) -> Result<()>

Calculates a sparse optical flow.

Parameters

• prevImg: First input image.
• nextImg: Second input image of the same size and the same type as prevImg.
• prevPts: Vector of 2D points for which the flow needs to be found.
• nextPts: Output vector of 2D points containing the calculated new positions of input features in the second image.
• status: Output status vector. Each element of the vector is set to 1 if the flow for the corresponding features has been found. Otherwise, it is set to 0.
• err: Optional output vector that contains error response for each point (inverse confidence).
• stream: Stream for the asynchronous version.

C++ default parameters

• err: cv::noArray()
• stream: Stream::Null()

Implementors

impl CUDA_SparseOpticalFlow for Ptr<dyn CUDA_SparsePyrLKOpticalFlow>