Struct opencv::ccalib::CustomPattern
source · pub struct CustomPattern { /* private fields */ }
Implementations§
source§impl CustomPattern
impl CustomPattern
pub fn default() -> Result<CustomPattern>
Trait Implementations§
source§impl AlgorithmTrait for CustomPattern
impl AlgorithmTrait for CustomPattern
source§impl AlgorithmTraitConst for CustomPattern
impl AlgorithmTraitConst for CustomPattern
fn as_raw_Algorithm(&self) -> *const c_void
source§fn write(&self, fs: &mut FileStorage) -> Result<()>
fn write(&self, fs: &mut FileStorage) -> Result<()>
Stores algorithm parameters in a file storage
source§fn write_1(&self, fs: &mut FileStorage, name: &str) -> Result<()>
fn write_1(&self, fs: &mut FileStorage, name: &str) -> Result<()>
Stores algorithm parameters in a file storage Read more
source§fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>
fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>
@deprecated Read more
source§fn empty(&self) -> Result<bool>
fn empty(&self) -> Result<bool>
Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read
source§fn save(&self, filename: &str) -> Result<()>
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).
source§fn get_default_name(&self) -> Result<String>
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.
source§impl Boxed for CustomPattern
impl Boxed for CustomPattern
source§impl CustomPatternTrait for CustomPattern
impl CustomPatternTrait for CustomPattern
fn as_raw_mut_CustomPattern(&mut self) -> *mut c_void
source§fn create(
&mut self,
pattern: &dyn ToInputArray,
board_size: Size2f,
output: &mut dyn ToOutputArray
) -> Result<bool>
fn create( &mut self, pattern: &dyn ToInputArray, board_size: Size2f, output: &mut dyn ToOutputArray ) -> Result<bool>
C++ default parameters Read more
source§fn find_pattern(
&mut self,
image: &dyn ToInputArray,
matched_features: &mut dyn ToOutputArray,
pattern_points: &mut dyn ToOutputArray,
ratio: f64,
proj_error: f64,
refine_position: bool,
out: &mut dyn ToOutputArray,
h: &mut dyn ToOutputArray,
pattern_corners: &mut dyn ToOutputArray
) -> Result<bool>
fn find_pattern( &mut self, image: &dyn ToInputArray, matched_features: &mut dyn ToOutputArray, pattern_points: &mut dyn ToOutputArray, ratio: f64, proj_error: f64, refine_position: bool, out: &mut dyn ToOutputArray, h: &mut dyn ToOutputArray, pattern_corners: &mut dyn ToOutputArray ) -> Result<bool>
C++ default parameters Read more
fn is_initialized(&mut self) -> Result<bool>
fn get_pattern_points( &mut self, original_points: &mut Vector<KeyPoint> ) -> Result<()>
fn get_pixel_size(&mut self) -> Result<f64>
fn set_feature_detector( &mut self, feature_detector: Ptr<Feature2D> ) -> Result<bool>
fn set_descriptor_extractor( &mut self, extractor: Ptr<Feature2D> ) -> Result<bool>
fn set_descriptor_matcher( &mut self, matcher: Ptr<dyn DescriptorMatcher> ) -> Result<bool>
fn get_feature_detector(&mut self) -> Result<Ptr<Feature2D>>
fn get_descriptor_extractor(&mut self) -> Result<Ptr<Feature2D>>
fn get_descriptor_matcher(&mut self) -> Result<Ptr<dyn DescriptorMatcher>>
source§fn calibrate(
&mut self,
object_points: &dyn ToInputArray,
image_points: &dyn ToInputArray,
image_size: Size,
camera_matrix: &mut dyn ToInputOutputArray,
dist_coeffs: &mut dyn ToInputOutputArray,
rvecs: &mut dyn ToOutputArray,
tvecs: &mut dyn ToOutputArray,
flags: i32,
criteria: TermCriteria
) -> Result<f64>
fn calibrate( &mut self, object_points: &dyn ToInputArray, image_points: &dyn ToInputArray, image_size: Size, camera_matrix: &mut dyn ToInputOutputArray, dist_coeffs: &mut dyn ToInputOutputArray, rvecs: &mut dyn ToOutputArray, tvecs: &mut dyn ToOutputArray, flags: i32, criteria: TermCriteria ) -> Result<f64>
C++ default parameters Read more
source§fn find_rt(
&mut self,
object_points: &dyn ToInputArray,
image_points: &dyn ToInputArray,
camera_matrix: &dyn ToInputArray,
dist_coeffs: &dyn ToInputArray,
rvec: &mut dyn ToInputOutputArray,
tvec: &mut dyn ToInputOutputArray,
use_extrinsic_guess: bool,
flags: i32
) -> Result<bool>
fn find_rt( &mut self, object_points: &dyn ToInputArray, image_points: &dyn ToInputArray, camera_matrix: &dyn ToInputArray, dist_coeffs: &dyn ToInputArray, rvec: &mut dyn ToInputOutputArray, tvec: &mut dyn ToInputOutputArray, use_extrinsic_guess: bool, flags: i32 ) -> Result<bool>
C++ default parameters Read more
source§fn find_rt_1(
&mut self,
image: &dyn ToInputArray,
camera_matrix: &dyn ToInputArray,
dist_coeffs: &dyn ToInputArray,
rvec: &mut dyn ToInputOutputArray,
tvec: &mut dyn ToInputOutputArray,
use_extrinsic_guess: bool,
flags: i32
) -> Result<bool>
fn find_rt_1( &mut self, image: &dyn ToInputArray, camera_matrix: &dyn ToInputArray, dist_coeffs: &dyn ToInputArray, rvec: &mut dyn ToInputOutputArray, tvec: &mut dyn ToInputOutputArray, use_extrinsic_guess: bool, flags: i32 ) -> Result<bool>
C++ default parameters Read more
source§fn find_rt_ransac(
&mut self,
object_points: &dyn ToInputArray,
image_points: &dyn ToInputArray,
camera_matrix: &dyn ToInputArray,
dist_coeffs: &dyn ToInputArray,
rvec: &mut dyn ToInputOutputArray,
tvec: &mut dyn ToInputOutputArray,
use_extrinsic_guess: bool,
iterations_count: i32,
reprojection_error: f32,
min_inliers_count: i32,
inliers: &mut dyn ToOutputArray,
flags: i32
) -> Result<bool>
fn find_rt_ransac( &mut self, object_points: &dyn ToInputArray, image_points: &dyn ToInputArray, camera_matrix: &dyn ToInputArray, dist_coeffs: &dyn ToInputArray, rvec: &mut dyn ToInputOutputArray, tvec: &mut dyn ToInputOutputArray, use_extrinsic_guess: bool, iterations_count: i32, reprojection_error: f32, min_inliers_count: i32, inliers: &mut dyn ToOutputArray, flags: i32 ) -> Result<bool>
C++ default parameters Read more
source§fn find_rt_ransac_1(
&mut self,
image: &dyn ToInputArray,
camera_matrix: &dyn ToInputArray,
dist_coeffs: &dyn ToInputArray,
rvec: &mut dyn ToInputOutputArray,
tvec: &mut dyn ToInputOutputArray,
use_extrinsic_guess: bool,
iterations_count: i32,
reprojection_error: f32,
min_inliers_count: i32,
inliers: &mut dyn ToOutputArray,
flags: i32
) -> Result<bool>
fn find_rt_ransac_1( &mut self, image: &dyn ToInputArray, camera_matrix: &dyn ToInputArray, dist_coeffs: &dyn ToInputArray, rvec: &mut dyn ToInputOutputArray, tvec: &mut dyn ToInputOutputArray, use_extrinsic_guess: bool, iterations_count: i32, reprojection_error: f32, min_inliers_count: i32, inliers: &mut dyn ToOutputArray, flags: i32 ) -> Result<bool>
C++ default parameters Read more
source§fn draw_orientation(
&mut self,
image: &mut dyn ToInputOutputArray,
tvec: &dyn ToInputArray,
rvec: &dyn ToInputArray,
camera_matrix: &dyn ToInputArray,
dist_coeffs: &dyn ToInputArray,
axis_length: f64,
axis_width: i32
) -> Result<()>
fn draw_orientation( &mut self, image: &mut dyn ToInputOutputArray, tvec: &dyn ToInputArray, rvec: &dyn ToInputArray, camera_matrix: &dyn ToInputArray, dist_coeffs: &dyn ToInputArray, axis_length: f64, axis_width: i32 ) -> Result<()>
C++ default parameters Read more
source§impl CustomPatternTraitConst for CustomPattern
impl CustomPatternTraitConst for CustomPattern
fn as_raw_CustomPattern(&self) -> *const c_void
source§impl Drop for CustomPattern
impl Drop for CustomPattern
source§impl From<CustomPattern> for Algorithm
impl From<CustomPattern> for Algorithm
source§fn from(s: CustomPattern) -> Self
fn from(s: CustomPattern) -> Self
Converts to this type from the input type.
impl Send for CustomPattern
Auto Trait Implementations§
impl RefUnwindSafe for CustomPattern
impl !Sync for CustomPattern
impl Unpin for CustomPattern
impl UnwindSafe for CustomPattern
Blanket Implementations§
source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere T: ?Sized,
source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more