Struct opencv::imgproc::GeneralizedHoughBallard

pub struct GeneralizedHoughBallard { /* private fields */ }

finds arbitrary template in the grayscale image using Generalized Hough Transform

Detects position only without translation and rotation Ballard1981 .

Trait Implementations

impl AlgorithmTrait for GeneralizedHoughBallard

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

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

Clears the algorithm state

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

Reads algorithm parameters from a file storage

impl AlgorithmTraitConst for GeneralizedHoughBallard

fn as_raw_Algorithm(&self) -> *const c_void

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

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut FileStorage, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

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

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of [write_with_name] function uses the following default values for its arguments:

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

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

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).

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 Boxed for GeneralizedHoughBallard

unsafe fn from_raw(ptr: *mut c_void) -> Self

Wrap the specified raw pointer

fn into_raw(self) -> *mut c_void

Return an the underlying raw pointer while consuming this wrapper.

fn as_raw(&self) -> *const c_void

Return the underlying raw pointer.

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

Return the underlying mutable raw pointer

impl Debug for GeneralizedHoughBallard

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Drop for GeneralizedHoughBallard

fn drop(&mut self)

Executes the destructor for this type.

impl From<GeneralizedHoughBallard> for Algorithm

fn from(s: GeneralizedHoughBallard) -> Self

Converts to this type from the input type.

impl From<GeneralizedHoughBallard> for GeneralizedHough

fn from(s: GeneralizedHoughBallard) -> Self

Converts to this type from the input type.

impl GeneralizedHoughBallardTrait for GeneralizedHoughBallard

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

fn set_levels(&mut self, levels: i32) -> Result<()>

R-Table levels.

fn set_votes_threshold(&mut self, votes_threshold: i32) -> Result<()>

The accumulator threshold for the template centers at the detection stage. The smaller it is, the more false positions may be detected.

impl GeneralizedHoughBallardTraitConst for GeneralizedHoughBallard

fn as_raw_GeneralizedHoughBallard(&self) -> *const c_void

fn get_levels(&self) -> Result<i32>

fn get_votes_threshold(&self) -> Result<i32>

impl GeneralizedHoughTrait for GeneralizedHoughBallard

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

fn set_template( &mut self, templ: &impl ToInputArray, templ_center: Point ) -> Result<()>

set template to search

fn set_template_def(&mut self, templ: &impl ToInputArray) -> Result<()>

set template to search

fn set_template_1( &mut self, edges: &impl ToInputArray, dx: &impl ToInputArray, dy: &impl ToInputArray, templ_center: Point ) -> Result<()>

C++ default parameters

fn set_template_def_1( &mut self, edges: &impl ToInputArray, dx: &impl ToInputArray, dy: &impl ToInputArray ) -> Result<()>

Note

fn detect( &mut self, image: &impl ToInputArray, positions: &mut impl ToOutputArray, votes: &mut impl ToOutputArray ) -> Result<()>

find template on image

fn detect_def( &mut self, image: &impl ToInputArray, positions: &mut impl ToOutputArray ) -> Result<()>

find template on image

fn detect_with_edges( &mut self, edges: &impl ToInputArray, dx: &impl ToInputArray, dy: &impl ToInputArray, positions: &mut impl ToOutputArray, votes: &mut impl ToOutputArray ) -> Result<()>

C++ default parameters

fn detect_with_edges_def( &mut self, edges: &impl ToInputArray, dx: &impl ToInputArray, dy: &impl ToInputArray, positions: &mut impl ToOutputArray ) -> Result<()>

Note

fn set_canny_low_thresh(&mut self, canny_low_thresh: i32) -> Result<()>

Canny low threshold.

fn set_canny_high_thresh(&mut self, canny_high_thresh: i32) -> Result<()>

Canny high threshold.

fn set_min_dist(&mut self, min_dist: f64) -> Result<()>

Minimum distance between the centers of the detected objects.

fn set_dp(&mut self, dp: f64) -> Result<()>

Inverse ratio of the accumulator resolution to the image resolution.

fn set_max_buffer_size(&mut self, max_buffer_size: i32) -> Result<()>

Maximal size of inner buffers.

impl GeneralizedHoughTraitConst for GeneralizedHoughBallard

fn as_raw_GeneralizedHough(&self) -> *const c_void

fn get_canny_low_thresh(&self) -> Result<i32>

fn get_canny_high_thresh(&self) -> Result<i32>

fn get_min_dist(&self) -> Result<f64>

fn get_dp(&self) -> Result<f64>

fn get_max_buffer_size(&self) -> Result<i32>

impl TryFrom<GeneralizedHough> for GeneralizedHoughBallard

type Error = Error

The type returned in the event of a conversion error.

fn try_from(s: GeneralizedHough) -> Result<Self>

Performs the conversion.

impl Send for GeneralizedHoughBallard