[][src]Trait opencv::hub_prelude::CUDA_SparseOpticalFlow

pub trait CUDA_SparseOpticalFlow: AlgorithmTrait {
    pub fn as_raw_CUDA_SparseOpticalFlow(&self) -> *const c_void;
pub fn as_raw_mut_CUDA_SparseOpticalFlow(&mut self) -> *mut c_void; pub 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

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Provided methods

pub 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<()>
[src]

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()
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Implementors

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