Trait opencv::prelude::CustomPatternTrait

pub trait CustomPatternTrait: AlgorithmTrait + CustomPatternTraitConst {
    // Required method
    fn as_raw_mut_CustomPattern(&mut self) -> *mut c_void;

    // Provided methods
    fn create(
        &mut self,
        pattern: &impl ToInputArray,
        board_size: Size2f,
        output: &mut impl ToOutputArray
    ) -> Result<bool> { ... }
    fn create_def(
        &mut self,
        pattern: &impl ToInputArray,
        board_size: Size2f
    ) -> Result<bool> { ... }
    fn find_pattern(
        &mut self,
        image: &impl ToInputArray,
        matched_features: &mut impl ToOutputArray,
        pattern_points: &mut impl ToOutputArray,
        ratio: f64,
        proj_error: f64,
        refine_position: bool,
        out: &mut impl ToOutputArray,
        h: &mut impl ToOutputArray,
        pattern_corners: &mut impl ToOutputArray
    ) -> Result<bool> { ... }
    fn find_pattern_def(
        &mut self,
        image: &impl ToInputArray,
        matched_features: &mut impl ToOutputArray,
        pattern_points: &mut impl ToOutputArray
    ) -> Result<bool> { ... }
    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<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<DescriptorMatcher>> { ... }
    fn calibrate(
        &mut self,
        object_points: &impl ToInputArray,
        image_points: &impl ToInputArray,
        image_size: Size,
        camera_matrix: &mut impl ToInputOutputArray,
        dist_coeffs: &mut impl ToInputOutputArray,
        rvecs: &mut impl ToOutputArray,
        tvecs: &mut impl ToOutputArray,
        flags: i32,
        criteria: TermCriteria
    ) -> Result<f64> { ... }
    fn calibrate_def(
        &mut self,
        object_points: &impl ToInputArray,
        image_points: &impl ToInputArray,
        image_size: Size,
        camera_matrix: &mut impl ToInputOutputArray,
        dist_coeffs: &mut impl ToInputOutputArray,
        rvecs: &mut impl ToOutputArray,
        tvecs: &mut impl ToOutputArray
    ) -> Result<f64> { ... }
    fn find_rt(
        &mut self,
        object_points: &impl ToInputArray,
        image_points: &impl ToInputArray,
        camera_matrix: &impl ToInputArray,
        dist_coeffs: &impl ToInputArray,
        rvec: &mut impl ToInputOutputArray,
        tvec: &mut impl ToInputOutputArray,
        use_extrinsic_guess: bool,
        flags: i32
    ) -> Result<bool> { ... }
    fn find_rt_def(
        &mut self,
        object_points: &impl ToInputArray,
        image_points: &impl ToInputArray,
        camera_matrix: &impl ToInputArray,
        dist_coeffs: &impl ToInputArray,
        rvec: &mut impl ToInputOutputArray,
        tvec: &mut impl ToInputOutputArray
    ) -> Result<bool> { ... }
    fn find_rt_1(
        &mut self,
        image: &impl ToInputArray,
        camera_matrix: &impl ToInputArray,
        dist_coeffs: &impl ToInputArray,
        rvec: &mut impl ToInputOutputArray,
        tvec: &mut impl ToInputOutputArray,
        use_extrinsic_guess: bool,
        flags: i32
    ) -> Result<bool> { ... }
    fn find_rt_def_1(
        &mut self,
        image: &impl ToInputArray,
        camera_matrix: &impl ToInputArray,
        dist_coeffs: &impl ToInputArray,
        rvec: &mut impl ToInputOutputArray,
        tvec: &mut impl ToInputOutputArray
    ) -> Result<bool> { ... }
    fn find_rt_ransac(
        &mut self,
        object_points: &impl ToInputArray,
        image_points: &impl ToInputArray,
        camera_matrix: &impl ToInputArray,
        dist_coeffs: &impl ToInputArray,
        rvec: &mut impl ToInputOutputArray,
        tvec: &mut impl ToInputOutputArray,
        use_extrinsic_guess: bool,
        iterations_count: i32,
        reprojection_error: f32,
        min_inliers_count: i32,
        inliers: &mut impl ToOutputArray,
        flags: i32
    ) -> Result<bool> { ... }
    fn find_rt_ransac_def(
        &mut self,
        object_points: &impl ToInputArray,
        image_points: &impl ToInputArray,
        camera_matrix: &impl ToInputArray,
        dist_coeffs: &impl ToInputArray,
        rvec: &mut impl ToInputOutputArray,
        tvec: &mut impl ToInputOutputArray
    ) -> Result<bool> { ... }
    fn find_rt_ransac_1(
        &mut self,
        image: &impl ToInputArray,
        camera_matrix: &impl ToInputArray,
        dist_coeffs: &impl ToInputArray,
        rvec: &mut impl ToInputOutputArray,
        tvec: &mut impl ToInputOutputArray,
        use_extrinsic_guess: bool,
        iterations_count: i32,
        reprojection_error: f32,
        min_inliers_count: i32,
        inliers: &mut impl ToOutputArray,
        flags: i32
    ) -> Result<bool> { ... }
    fn find_rt_ransac_def_1(
        &mut self,
        image: &impl ToInputArray,
        camera_matrix: &impl ToInputArray,
        dist_coeffs: &impl ToInputArray,
        rvec: &mut impl ToInputOutputArray,
        tvec: &mut impl ToInputOutputArray
    ) -> Result<bool> { ... }
    fn draw_orientation(
        &mut self,
        image: &mut impl ToInputOutputArray,
        tvec: &impl ToInputArray,
        rvec: &impl ToInputArray,
        camera_matrix: &impl ToInputArray,
        dist_coeffs: &impl ToInputArray,
        axis_length: f64,
        axis_width: i32
    ) -> Result<()> { ... }
    fn draw_orientation_def(
        &mut self,
        image: &mut impl ToInputOutputArray,
        tvec: &impl ToInputArray,
        rvec: &impl ToInputArray,
        camera_matrix: &impl ToInputArray,
        dist_coeffs: &impl ToInputArray
    ) -> Result<()> { ... }
}

Mutable methods for crate::ccalib::CustomPattern

Required Methods

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

Provided Methods

fn create( &mut self, pattern: &impl ToInputArray, board_size: Size2f, output: &mut impl ToOutputArray ) -> Result<bool>

C++ default parameters

• output: noArray()

fn create_def( &mut self, pattern: &impl ToInputArray, board_size: Size2f ) -> Result<bool>

Note

This alternative version of CustomPatternTrait::create function uses the following default values for its arguments:

• output: noArray()

fn find_pattern( &mut self, image: &impl ToInputArray, matched_features: &mut impl ToOutputArray, pattern_points: &mut impl ToOutputArray, ratio: f64, proj_error: f64, refine_position: bool, out: &mut impl ToOutputArray, h: &mut impl ToOutputArray, pattern_corners: &mut impl ToOutputArray ) -> Result<bool>

C++ default parameters

• ratio: 0.7
• proj_error: 8.0
• refine_position: false
• out: noArray()
• h: noArray()
• pattern_corners: noArray()

fn find_pattern_def( &mut self, image: &impl ToInputArray, matched_features: &mut impl ToOutputArray, pattern_points: &mut impl ToOutputArray ) -> Result<bool>

Note

This alternative version of CustomPatternTrait::find_pattern function uses the following default values for its arguments:

• ratio: 0.7
• proj_error: 8.0
• refine_position: false
• out: noArray()
• h: noArray()
• pattern_corners: noArray()

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<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<DescriptorMatcher>>

fn calibrate( &mut self, object_points: &impl ToInputArray, image_points: &impl ToInputArray, image_size: Size, camera_matrix: &mut impl ToInputOutputArray, dist_coeffs: &mut impl ToInputOutputArray, rvecs: &mut impl ToOutputArray, tvecs: &mut impl ToOutputArray, flags: i32, criteria: TermCriteria ) -> Result<f64>

C++ default parameters

• flags: 0
• criteria: TermCriteria(TermCriteria::COUNT+TermCriteria::EPS,30,DBL_EPSILON)

fn calibrate_def( &mut self, object_points: &impl ToInputArray, image_points: &impl ToInputArray, image_size: Size, camera_matrix: &mut impl ToInputOutputArray, dist_coeffs: &mut impl ToInputOutputArray, rvecs: &mut impl ToOutputArray, tvecs: &mut impl ToOutputArray ) -> Result<f64>

Note

This alternative version of CustomPatternTrait::calibrate function uses the following default values for its arguments:

• flags: 0
• criteria: TermCriteria(TermCriteria::COUNT+TermCriteria::EPS,30,DBL_EPSILON)

fn find_rt( &mut self, object_points: &impl ToInputArray, image_points: &impl ToInputArray, camera_matrix: &impl ToInputArray, dist_coeffs: &impl ToInputArray, rvec: &mut impl ToInputOutputArray, tvec: &mut impl ToInputOutputArray, use_extrinsic_guess: bool, flags: i32 ) -> Result<bool>

C++ default parameters

• use_extrinsic_guess: false
• flags: SOLVEPNP_ITERATIVE

fn find_rt_def( &mut self, object_points: &impl ToInputArray, image_points: &impl ToInputArray, camera_matrix: &impl ToInputArray, dist_coeffs: &impl ToInputArray, rvec: &mut impl ToInputOutputArray, tvec: &mut impl ToInputOutputArray ) -> Result<bool>

Note

This alternative version of CustomPatternTrait::find_rt function uses the following default values for its arguments:

• use_extrinsic_guess: false
• flags: SOLVEPNP_ITERATIVE

fn find_rt_1( &mut self, image: &impl ToInputArray, camera_matrix: &impl ToInputArray, dist_coeffs: &impl ToInputArray, rvec: &mut impl ToInputOutputArray, tvec: &mut impl ToInputOutputArray, use_extrinsic_guess: bool, flags: i32 ) -> Result<bool>

C++ default parameters

• use_extrinsic_guess: false
• flags: SOLVEPNP_ITERATIVE

fn find_rt_def_1( &mut self, image: &impl ToInputArray, camera_matrix: &impl ToInputArray, dist_coeffs: &impl ToInputArray, rvec: &mut impl ToInputOutputArray, tvec: &mut impl ToInputOutputArray ) -> Result<bool>

Note

This alternative version of CustomPatternTrait::find_rt function uses the following default values for its arguments:

• use_extrinsic_guess: false
• flags: SOLVEPNP_ITERATIVE

fn find_rt_ransac( &mut self, object_points: &impl ToInputArray, image_points: &impl ToInputArray, camera_matrix: &impl ToInputArray, dist_coeffs: &impl ToInputArray, rvec: &mut impl ToInputOutputArray, tvec: &mut impl ToInputOutputArray, use_extrinsic_guess: bool, iterations_count: i32, reprojection_error: f32, min_inliers_count: i32, inliers: &mut impl ToOutputArray, flags: i32 ) -> Result<bool>

C++ default parameters

• use_extrinsic_guess: false
• iterations_count: 100
• reprojection_error: 8.0
• min_inliers_count: 100
• inliers: noArray()
• flags: SOLVEPNP_ITERATIVE

fn find_rt_ransac_def( &mut self, object_points: &impl ToInputArray, image_points: &impl ToInputArray, camera_matrix: &impl ToInputArray, dist_coeffs: &impl ToInputArray, rvec: &mut impl ToInputOutputArray, tvec: &mut impl ToInputOutputArray ) -> Result<bool>

Note

This alternative version of CustomPatternTrait::find_rt_ransac function uses the following default values for its arguments:

• use_extrinsic_guess: false
• iterations_count: 100
• reprojection_error: 8.0
• min_inliers_count: 100
• inliers: noArray()
• flags: SOLVEPNP_ITERATIVE

fn find_rt_ransac_1( &mut self, image: &impl ToInputArray, camera_matrix: &impl ToInputArray, dist_coeffs: &impl ToInputArray, rvec: &mut impl ToInputOutputArray, tvec: &mut impl ToInputOutputArray, use_extrinsic_guess: bool, iterations_count: i32, reprojection_error: f32, min_inliers_count: i32, inliers: &mut impl ToOutputArray, flags: i32 ) -> Result<bool>

C++ default parameters

• use_extrinsic_guess: false
• iterations_count: 100
• reprojection_error: 8.0
• min_inliers_count: 100
• inliers: noArray()
• flags: SOLVEPNP_ITERATIVE

fn find_rt_ransac_def_1( &mut self, image: &impl ToInputArray, camera_matrix: &impl ToInputArray, dist_coeffs: &impl ToInputArray, rvec: &mut impl ToInputOutputArray, tvec: &mut impl ToInputOutputArray ) -> Result<bool>

Note

This alternative version of CustomPatternTrait::find_rt_ransac function uses the following default values for its arguments:

• use_extrinsic_guess: false
• iterations_count: 100
• reprojection_error: 8.0
• min_inliers_count: 100
• inliers: noArray()
• flags: SOLVEPNP_ITERATIVE

fn draw_orientation( &mut self, image: &mut impl ToInputOutputArray, tvec: &impl ToInputArray, rvec: &impl ToInputArray, camera_matrix: &impl ToInputArray, dist_coeffs: &impl ToInputArray, axis_length: f64, axis_width: i32 ) -> Result<()>

C++ default parameters

• axis_length: 3
• axis_width: 2

fn draw_orientation_def( &mut self, image: &mut impl ToInputOutputArray, tvec: &impl ToInputArray, rvec: &impl ToInputArray, camera_matrix: &impl ToInputArray, dist_coeffs: &impl ToInputArray ) -> Result<()>

Note

This alternative version of CustomPatternTrait::draw_orientation function uses the following default values for its arguments:

• axis_length: 3
• axis_width: 2

Object Safety

This trait is not object safe.

Implementors

impl CustomPatternTrait for CustomPattern

impl CustomPatternTrait for Ptr<CustomPattern>