Type Definition opencv::types::PtrOfCUDA_CannyEdgeDetector

type PtrOfCUDA_CannyEdgeDetector = Ptr<dyn CUDA_CannyEdgeDetector>;

Implementations

impl PtrOfCUDA_CannyEdgeDetector

pub fn as_raw_PtrOfCUDA_CannyEdgeDetector(&self) -> *const c_void

pub fn as_raw_mut_PtrOfCUDA_CannyEdgeDetector(&mut self) -> *mut c_void

Trait Implementations

impl AlgorithmTrait for PtrOfCUDA_CannyEdgeDetector

pub fn as_raw_Algorithm(&self) -> *const c_void

pub fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

pub fn clear(&mut self) -> Result<()>

Clears the algorithm state

pub fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

pub fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

pub fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

pub fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

pub fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

pub fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl CUDA_CannyEdgeDetector for PtrOfCUDA_CannyEdgeDetector

pub fn as_raw_CUDA_CannyEdgeDetector(&self) -> *const c_void

pub fn as_raw_mut_CUDA_CannyEdgeDetector(&mut self) -> *mut c_void

pub fn detect(
    &mut self,
    image: &dyn ToInputArray,
    edges: &mut dyn ToOutputArray,
    stream: &mut Stream
) -> Result<()>

Finds edges in an image using the Canny86 algorithm.

pub fn detect_1(
    &mut self,
    dx: &dyn ToInputArray,
    dy: &dyn ToInputArray,
    edges: &mut dyn ToOutputArray,
    stream: &mut Stream
) -> Result<()>

Finds edges in an image using the Canny86 algorithm.

pub fn set_low_threshold(&mut self, low_thresh: f64) -> Result<()>

pub fn get_low_threshold(&self) -> Result<f64>

pub fn set_high_threshold(&mut self, high_thresh: f64) -> Result<()>

pub fn get_high_threshold(&self) -> Result<f64>

pub fn set_apperture_size(&mut self, apperture_size: i32) -> Result<()>

pub fn get_apperture_size(&self) -> Result<i32>

pub fn set_l2_gradient(&mut self, l2gradient: bool) -> Result<()>

pub fn get_l2_gradient(&self) -> Result<bool>