[−][src]Trait opencv::prelude::CUDA_HoughLinesDetector

pub trait CUDA_HoughLinesDetector: AlgorithmTrait {
    fn as_raw_CUDA_HoughLinesDetector(&self) -> *const c_void;
    fn as_raw_mut_CUDA_HoughLinesDetector(&mut self) -> *mut c_void;

    fn detect(
        &mut self, 
        src: &dyn ToInputArray, 
        lines: &mut dyn ToOutputArray, 
        stream: &mut Stream
    ) -> Result<()> { ... }
    fn download_results(
        &mut self, 
        d_lines: &dyn ToInputArray, 
        h_lines: &mut dyn ToOutputArray, 
        h_votes: &mut dyn ToOutputArray, 
        stream: &mut Stream
    ) -> Result<()> { ... }
    fn set_rho(&mut self, rho: f32) -> Result<()> { ... }
    fn get_rho(&self) -> Result<f32> { ... }
    fn set_theta(&mut self, theta: f32) -> Result<()> { ... }
    fn get_theta(&self) -> Result<f32> { ... }
    fn set_threshold(&mut self, threshold: i32) -> Result<()> { ... }
    fn get_threshold(&self) -> Result<i32> { ... }
    fn set_do_sort(&mut self, do_sort: bool) -> Result<()> { ... }
    fn get_do_sort(&self) -> Result<bool> { ... }
    fn set_max_lines(&mut self, max_lines: i32) -> Result<()> { ... }
    fn get_max_lines(&self) -> Result<i32> { ... }
}

Base class for lines detector algorithm. :

Required methods

`fn as_raw_CUDA_HoughLinesDetector(&self) -> *const c_void`

`fn as_raw_mut_CUDA_HoughLinesDetector(&mut self) -> *mut c_void`

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Provided methods

`fn detect( &mut self, src: &dyn ToInputArray, lines: &mut dyn ToOutputArray, stream: &mut Stream ) -> Result<()>`

Finds lines in a binary image using the classical Hough transform.

Parameters

src: 8-bit, single-channel binary source image.
lines: Output vector of lines. Each line is represented by a two-element vector $inline formula$ . $inline formula$ is the distance from the coordinate origin $inline formula$ (top-left corner of the image). $inline formula$ is the line rotation angle in radians ( $inline formula$ ).
stream: Stream for the asynchronous version.