Trait opencv::prelude::CUDA_FarnebackOpticalFlow

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pub trait CUDA_FarnebackOpticalFlow: CUDA_DenseOpticalFlow + CUDA_FarnebackOpticalFlowConst {
    // Required method
    fn as_raw_mut_CUDA_FarnebackOpticalFlow(&mut self) -> *mut c_void;

    // Provided methods
    fn set_num_levels(&mut self, num_levels: i32) -> Result<()> { ... }
    fn set_pyr_scale(&mut self, pyr_scale: f64) -> Result<()> { ... }
    fn set_fast_pyramids(&mut self, fast_pyramids: bool) -> Result<()> { ... }
    fn set_win_size(&mut self, win_size: i32) -> Result<()> { ... }
    fn set_num_iters(&mut self, num_iters: i32) -> Result<()> { ... }
    fn set_poly_n(&mut self, poly_n: i32) -> Result<()> { ... }
    fn set_poly_sigma(&mut self, poly_sigma: f64) -> Result<()> { ... }
    fn set_flags(&mut self, flags: i32) -> Result<()> { ... }
}
Expand description

Class computing a dense optical flow using the Gunnar Farneback’s algorithm.

Required Methods§

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

Provided Methods§

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fn set_num_levels(&mut self, num_levels: i32) -> Result<()>

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fn set_pyr_scale(&mut self, pyr_scale: f64) -> Result<()>

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fn set_fast_pyramids(&mut self, fast_pyramids: bool) -> Result<()>

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fn set_win_size(&mut self, win_size: i32) -> Result<()>

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fn set_num_iters(&mut self, num_iters: i32) -> Result<()>

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fn set_poly_n(&mut self, poly_n: i32) -> Result<()>

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fn set_poly_sigma(&mut self, poly_sigma: f64) -> Result<()>

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

Implementations§

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impl dyn CUDA_FarnebackOpticalFlow + '_

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pub fn create( num_levels: i32, pyr_scale: f64, fast_pyramids: bool, win_size: i32, num_iters: i32, poly_n: i32, poly_sigma: f64, flags: i32 ) -> Result<Ptr<dyn CUDA_FarnebackOpticalFlow>>

C++ default parameters
  • num_levels: 5
  • pyr_scale: 0.5
  • fast_pyramids: false
  • win_size: 13
  • num_iters: 10
  • poly_n: 5
  • poly_sigma: 1.1
  • flags: 0

Implementors§