Struct opencv::objdetect::DetectorParameters

pub struct DetectorParameters { /* private fields */ }

struct DetectorParameters is used by ArucoDetector

Implementations

impl DetectorParameters

pub fn default() -> Result<DetectorParameters>

Trait Implementations

impl Boxed for DetectorParameters

unsafe fn from_raw( ptr: <DetectorParameters as OpenCVFromExtern>::ExternReceive, ) -> Self

Wrap the specified raw pointer

fn into_raw( self, ) -> <DetectorParameters as OpenCVTypeExternContainer>::ExternSendMut

Return the underlying raw pointer while consuming this wrapper.

fn as_raw( &self, ) -> <DetectorParameters as OpenCVTypeExternContainer>::ExternSend

Return the underlying raw pointer.

fn as_raw_mut( &mut self, ) -> <DetectorParameters as OpenCVTypeExternContainer>::ExternSendMut

Return the underlying mutable raw pointer

impl Clone for DetectorParameters

fn clone(&self) -> Self

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for DetectorParameters

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

Formats the value using the given formatter.

impl DetectorParametersTrait for DetectorParameters

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

fn set_adaptive_thresh_win_size_min(&mut self, val: i32)

minimum window size for adaptive thresholding before finding contours (default 3).

fn set_adaptive_thresh_win_size_max(&mut self, val: i32)

maximum window size for adaptive thresholding before finding contours (default 23).

fn set_adaptive_thresh_win_size_step(&mut self, val: i32)

increments from adaptiveThreshWinSizeMin to adaptiveThreshWinSizeMax during the thresholding (default 10).

fn set_adaptive_thresh_constant(&mut self, val: f64)

constant for adaptive thresholding before finding contours (default 7)

fn set_min_marker_perimeter_rate(&mut self, val: f64)

determine minimum perimeter for marker contour to be detected.

fn set_max_marker_perimeter_rate(&mut self, val: f64)

determine maximum perimeter for marker contour to be detected.

fn set_polygonal_approx_accuracy_rate(&mut self, val: f64)

minimum accuracy during the polygonal approximation process to determine which contours are squares. (default 0.03)

fn set_min_corner_distance_rate(&mut self, val: f64)

minimum distance between corners for detected markers relative to its perimeter (default 0.05)

fn set_min_distance_to_border(&mut self, val: i32)

minimum distance of any corner to the image border for detected markers (in pixels) (default 3)

fn set_min_marker_distance_rate(&mut self, val: f64)

minimum average distance between the corners of the two markers to be grouped (default 0.125).

fn set_min_group_distance(&mut self, val: f32)

minimum average distance between the corners of the two markers in group to add them to the list of candidates

fn set_corner_refinement_method(&mut self, val: i32)

default value CORNER_REFINE_NONE

fn set_corner_refinement_win_size(&mut self, val: i32)

maximum window size for the corner refinement process (in pixels) (default 5).

fn set_relative_corner_refinment_win_size(&mut self, val: f32)

Dynamic window size for corner refinement relative to Aruco module size (default 0.3).

fn set_corner_refinement_max_iterations(&mut self, val: i32)

maximum number of iterations for stop criteria of the corner refinement process (default 30).

fn set_corner_refinement_min_accuracy(&mut self, val: f64)

minimum error for the stop cristeria of the corner refinement process (default: 0.1)

fn set_marker_border_bits(&mut self, val: i32)

number of bits of the marker border, i.e. marker border width (default 1).

fn set_perspective_remove_pixel_per_cell(&mut self, val: i32)

number of bits (per dimension) for each cell of the marker when removing the perspective (default 4).

fn set_perspective_remove_ignored_margin_per_cell(&mut self, val: f64)

width of the margin of pixels on each cell not considered for the determination of the cell bit.

fn set_max_erroneous_bits_in_border_rate(&mut self, val: f64)

maximum number of accepted erroneous bits in the border (i.e. number of allowed white bits in the border).

fn set_min_otsu_std_dev(&mut self, val: f64)

minimun standard deviation in pixels values during the decodification step to apply Otsu thresholding (otherwise, all the bits are set to 0 or 1 depending on mean higher than 128 or not) (default 5.0)

fn set_error_correction_rate(&mut self, val: f64)

error correction rate respect to the maximun error correction capability for each dictionary (default 0.6).

fn set_april_tag_quad_decimate(&mut self, val: f32)

April :: User-configurable parameters.

fn set_april_tag_quad_sigma(&mut self, val: f32)

what Gaussian blur should be applied to the segmented image (used for quad detection?)

fn set_april_tag_min_cluster_pixels(&mut self, val: i32)

reject quads containing too few pixels (default 5).

fn set_april_tag_max_nmaxima(&mut self, val: i32)

how many corner candidates to consider when segmenting a group of pixels into a quad (default 10).

fn set_april_tag_critical_rad(&mut self, val: f32)

reject quads where pairs of edges have angles that are close to straight or close to 180 degrees.

fn set_april_tag_max_line_fit_mse(&mut self, val: f32)

when fitting lines to the contours, what is the maximum mean squared error

fn set_april_tag_min_white_black_diff(&mut self, val: i32)

add an extra check that the white model must be (overall) brighter than the black model.

fn set_april_tag_deglitch(&mut self, val: i32)

should the thresholded image be deglitched? Only useful for very noisy images (default 0).

fn set_detect_inverted_marker(&mut self, val: bool)

to check if there is a white marker.

fn set_use_aruco3_detection(&mut self, val: bool)

enable the new and faster Aruco detection strategy.

fn set_min_side_length_canonical_img(&mut self, val: i32)

minimum side length of a marker in the canonical image. Latter is the binarized image in which contours are searched.

fn set_min_marker_length_ratio_original_img(&mut self, val: f32)

range [0,1], eq (2) from paper. The parameter tau_i has a direct influence on the processing speed.

fn read_detector_parameters( &mut self, fn_: &impl FileNodeTraitConst, ) -> Result<bool>

Read a new set of DetectorParameters from FileNode (use FileStorage.root()).

fn write_detector_parameters( &mut self, fs: &mut impl FileStorageTrait, name: &str, ) -> Result<bool>

Write a set of DetectorParameters to FileStorage

fn write_detector_parameters_def( &mut self, fs: &mut impl FileStorageTrait, ) -> Result<bool>

Write a set of DetectorParameters to FileStorage

impl DetectorParametersTraitConst for DetectorParameters

fn as_raw_DetectorParameters(&self) -> *const c_void

fn adaptive_thresh_win_size_min(&self) -> i32

minimum window size for adaptive thresholding before finding contours (default 3).

fn adaptive_thresh_win_size_max(&self) -> i32

maximum window size for adaptive thresholding before finding contours (default 23).

fn adaptive_thresh_win_size_step(&self) -> i32

increments from adaptiveThreshWinSizeMin to adaptiveThreshWinSizeMax during the thresholding (default 10).

fn adaptive_thresh_constant(&self) -> f64

constant for adaptive thresholding before finding contours (default 7)

fn min_marker_perimeter_rate(&self) -> f64

determine minimum perimeter for marker contour to be detected.

fn max_marker_perimeter_rate(&self) -> f64

determine maximum perimeter for marker contour to be detected.

fn polygonal_approx_accuracy_rate(&self) -> f64

minimum accuracy during the polygonal approximation process to determine which contours are squares. (default 0.03)

fn min_corner_distance_rate(&self) -> f64

minimum distance between corners for detected markers relative to its perimeter (default 0.05)

fn min_distance_to_border(&self) -> i32

minimum distance of any corner to the image border for detected markers (in pixels) (default 3)

fn min_marker_distance_rate(&self) -> f64

minimum average distance between the corners of the two markers to be grouped (default 0.125).

fn min_group_distance(&self) -> f32

minimum average distance between the corners of the two markers in group to add them to the list of candidates

fn corner_refinement_method(&self) -> i32

default value CORNER_REFINE_NONE

fn corner_refinement_win_size(&self) -> i32

maximum window size for the corner refinement process (in pixels) (default 5).

fn relative_corner_refinment_win_size(&self) -> f32

Dynamic window size for corner refinement relative to Aruco module size (default 0.3).

fn corner_refinement_max_iterations(&self) -> i32

maximum number of iterations for stop criteria of the corner refinement process (default 30).

fn corner_refinement_min_accuracy(&self) -> f64

minimum error for the stop cristeria of the corner refinement process (default: 0.1)

fn marker_border_bits(&self) -> i32

number of bits of the marker border, i.e. marker border width (default 1).

fn perspective_remove_pixel_per_cell(&self) -> i32

number of bits (per dimension) for each cell of the marker when removing the perspective (default 4).

fn perspective_remove_ignored_margin_per_cell(&self) -> f64

width of the margin of pixels on each cell not considered for the determination of the cell bit.

fn max_erroneous_bits_in_border_rate(&self) -> f64

maximum number of accepted erroneous bits in the border (i.e. number of allowed white bits in the border).

fn min_otsu_std_dev(&self) -> f64

minimun standard deviation in pixels values during the decodification step to apply Otsu thresholding (otherwise, all the bits are set to 0 or 1 depending on mean higher than 128 or not) (default 5.0)

fn error_correction_rate(&self) -> f64

error correction rate respect to the maximun error correction capability for each dictionary (default 0.6).

fn april_tag_quad_decimate(&self) -> f32

April :: User-configurable parameters.

fn april_tag_quad_sigma(&self) -> f32

what Gaussian blur should be applied to the segmented image (used for quad detection?)

fn april_tag_min_cluster_pixels(&self) -> i32

reject quads containing too few pixels (default 5).

fn april_tag_max_nmaxima(&self) -> i32

how many corner candidates to consider when segmenting a group of pixels into a quad (default 10).

fn april_tag_critical_rad(&self) -> f32

reject quads where pairs of edges have angles that are close to straight or close to 180 degrees.

fn april_tag_max_line_fit_mse(&self) -> f32

when fitting lines to the contours, what is the maximum mean squared error

fn april_tag_min_white_black_diff(&self) -> i32

add an extra check that the white model must be (overall) brighter than the black model.

fn april_tag_deglitch(&self) -> i32

should the thresholded image be deglitched? Only useful for very noisy images (default 0).

fn detect_inverted_marker(&self) -> bool

to check if there is a white marker.

fn use_aruco3_detection(&self) -> bool

enable the new and faster Aruco detection strategy.

fn min_side_length_canonical_img(&self) -> i32

minimum side length of a marker in the canonical image. Latter is the binarized image in which contours are searched.

fn min_marker_length_ratio_original_img(&self) -> f32

range [0,1], eq (2) from paper. The parameter tau_i has a direct influence on the processing speed.

impl Drop for DetectorParameters

fn drop(&mut self)

Executes the destructor for this type.

impl Send for DetectorParameters