Trait opencv::hub_prelude::CUDA_HoughCirclesDetector
source · [−]pub trait CUDA_HoughCirclesDetector: AlgorithmTrait + CUDA_HoughCirclesDetectorConst {
fn as_raw_mut_CUDA_HoughCirclesDetector(&mut self) -> *mut c_void;
fn detect(
&mut self,
src: &dyn ToInputArray,
circles: &mut dyn ToOutputArray,
stream: &mut Stream
) -> Result<()> { ... }
fn set_dp(&mut self, dp: f32) -> Result<()> { ... }
fn set_min_dist(&mut self, min_dist: f32) -> Result<()> { ... }
fn set_canny_threshold(&mut self, canny_threshold: i32) -> Result<()> { ... }
fn set_votes_threshold(&mut self, votes_threshold: i32) -> Result<()> { ... }
fn set_min_radius(&mut self, min_radius: i32) -> Result<()> { ... }
fn set_max_radius(&mut self, max_radius: i32) -> Result<()> { ... }
fn set_max_circles(&mut self, max_circles: i32) -> Result<()> { ... }
}
Required Methods
fn as_raw_mut_CUDA_HoughCirclesDetector(&mut self) -> *mut c_void
Provided Methods
fn detect(
&mut self,
src: &dyn ToInputArray,
circles: &mut dyn ToOutputArray,
stream: &mut Stream
) -> Result<()>
fn detect(
&mut self,
src: &dyn ToInputArray,
circles: &mut dyn ToOutputArray,
stream: &mut Stream
) -> Result<()>
Finds circles in a grayscale image using the Hough transform.
Parameters
- src: 8-bit, single-channel grayscale input image.
- circles: Output vector of found circles. Each vector is encoded as a 3-element
floating-point vector
.
- stream: Stream for the asynchronous version.
See also
HoughCircles
C++ default parameters
- stream: Stream::Null()