Trait opencv::prelude::CUDA_HoughSegmentDetector

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pub trait CUDA_HoughSegmentDetector: AlgorithmTrait + CUDA_HoughSegmentDetectorConst {
    // Required method
    fn as_raw_mut_CUDA_HoughSegmentDetector(&mut self) -> *mut c_void;

    // Provided methods
    fn detect(
        &mut self,
        src: &dyn ToInputArray,
        lines: &mut dyn ToOutputArray,
        stream: &mut Stream
    ) -> Result<()> { ... }
    fn set_rho(&mut self, rho: f32) -> Result<()> { ... }
    fn set_theta(&mut self, theta: f32) -> Result<()> { ... }
    fn set_min_line_length(&mut self, min_line_length: i32) -> Result<()> { ... }
    fn set_max_line_gap(&mut self, max_line_gap: i32) -> Result<()> { ... }
    fn set_max_lines(&mut self, max_lines: i32) -> Result<()> { ... }
}

Expand description

Base class for line segments detector algorithm. :

Required Methods§

source

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

Provided Methods§

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

Finds line segments in a binary image using the probabilistic Hough transform.

Parameters

src: 8-bit, single-channel binary source image.
lines: Output vector of lines. Each line is represented by a 4-element vector $inline formula$ , where $inline formula$ and $inline formula$ are the ending points of each detected line segment.
stream: Stream for the asynchronous version.