Trait 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

Dyn Compatibility

This trait is not dyn compatible.

In older versions of Rust, dyn compatibility was called "object safety", so this trait is not object safe.

Implementors

impl CustomPatternTrait for BoxedRefMut<'_, CustomPattern>

impl CustomPatternTrait for CustomPattern

impl CustomPatternTrait for Ptr<CustomPattern>