Trait opencv::hub_prelude::SparsePyrLKOpticalFlow

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pub trait SparsePyrLKOpticalFlow: SparseOpticalFlow + SparsePyrLKOpticalFlowConst {
    // Required method
    fn as_raw_mut_SparsePyrLKOpticalFlow(&mut self) -> *mut c_void;

    // Provided methods
    fn set_win_size(&mut self, win_size: Size) -> Result<()> { ... }
    fn set_max_level(&mut self, max_level: i32) -> Result<()> { ... }
    fn set_term_criteria(&mut self, crit: &mut TermCriteria) -> Result<()> { ... }
    fn set_flags(&mut self, flags: i32) -> Result<()> { ... }
    fn set_min_eig_threshold(&mut self, min_eig_threshold: f64) -> Result<()> { ... }
}
Expand description

Class used for calculating a sparse optical flow.

The class can calculate an optical flow for a sparse feature set using the iterative Lucas-Kanade method with pyramids.

See also

calcOpticalFlowPyrLK

Required Methods§

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

Provided Methods§

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fn set_win_size(&mut self, win_size: Size) -> Result<()>

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fn set_max_level(&mut self, max_level: i32) -> Result<()>

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fn set_term_criteria(&mut self, crit: &mut TermCriteria) -> Result<()>

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fn set_flags(&mut self, flags: i32) -> Result<()>

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fn set_min_eig_threshold(&mut self, min_eig_threshold: f64) -> Result<()>

Implementations§

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impl dyn SparsePyrLKOpticalFlow + '_

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pub fn create( win_size: Size, max_level: i32, crit: TermCriteria, flags: i32, min_eig_threshold: f64 ) -> Result<Ptr<dyn SparsePyrLKOpticalFlow>>

C++ default parameters
  • win_size: Size(21,21)
  • max_level: 3
  • crit: TermCriteria(TermCriteria::COUNT+TermCriteria::EPS,30,0.01)
  • flags: 0
  • min_eig_threshold: 1e-4

Implementors§