Struct opencv::features2d::AffineFeature

pub struct AffineFeature { /* private fields */ }

Class for implementing the wrapper which makes detectors and extractors to be affine invariant, described as ASIFT in YM11 .

Implementations

impl AffineFeature

pub fn create( backend: &Ptr<Feature2D>, max_tilt: i32, min_tilt: i32, tilt_step: f32, rotate_step_base: f32 ) -> Result<Ptr<AffineFeature>>

Parameters

• backend: The detector/extractor you want to use as backend.
• maxTilt: The highest power index of tilt factor. 5 is used in the paper as tilt sampling range n.
• minTilt: The lowest power index of tilt factor. 0 is used in the paper.
• tiltStep: Tilt sampling step in Algorithm 1 in the paper.
• rotateStepBase: Rotation sampling step factor b in Algorithm 1 in the paper.

C++ default parameters

• max_tilt: 5
• min_tilt: 0
• tilt_step: 1.4142135623730951f
• rotate_step_base: 72

pub fn create_def(backend: &Ptr<Feature2D>) -> Result<Ptr<AffineFeature>>

Parameters

• backend: The detector/extractor you want to use as backend.
• maxTilt: The highest power index of tilt factor. 5 is used in the paper as tilt sampling range n.
• minTilt: The lowest power index of tilt factor. 0 is used in the paper.
• tiltStep: Tilt sampling step in Algorithm 1 in the paper.
• rotateStepBase: Rotation sampling step factor b in Algorithm 1 in the paper.

Note

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

• max_tilt: 5
• min_tilt: 0
• tilt_step: 1.4142135623730951f
• rotate_step_base: 72

Trait Implementations

impl AffineFeatureTrait for AffineFeature

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

fn set_view_params( &mut self, tilts: &Vector<f32>, rolls: &Vector<f32> ) -> Result<()>

impl AffineFeatureTraitConst for AffineFeature

fn as_raw_AffineFeature(&self) -> *const c_void

fn get_view_params( &self, tilts: &mut Vector<f32>, rolls: &mut Vector<f32> ) -> Result<()>

fn get_default_name(&self) -> Result<String>

impl AlgorithmTrait for AffineFeature

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 AffineFeature

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 AlgorithmTraitConst::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 AffineFeature

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 AffineFeature

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

Formats the value using the given formatter.

impl Drop for AffineFeature

fn drop(&mut self)

Executes the destructor for this type.

impl Feature2DTrait for AffineFeature

fn as_raw_mut_Feature2D(&mut self) -> *mut c_void

fn detect( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, mask: &impl ToInputArray ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_def( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint> ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, masks: &impl ToInputArray ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple_def( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>> ) -> Result<()>

@overload

fn compute( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn compute_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, descriptors: &mut impl ToOutputArray ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn detect_and_compute( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, use_provided_keypoints: bool ) -> Result<()>

Detects keypoints and computes the descriptors

fn detect_and_compute_def( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray ) -> Result<()>

Detects keypoints and computes the descriptors

fn read(&mut self, file_name: &str) -> Result<()>

fn read_1(&mut self, unnamed: &FileNode) -> Result<()>

impl Feature2DTraitConst for AffineFeature

fn as_raw_Feature2D(&self) -> *const c_void

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

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

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

fn write(&self, file_name: &str) -> Result<()>

fn write_1(&self, unnamed: &mut FileStorage) -> Result<()>

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

Return true if detector object is empty

fn get_default_name(&self) -> Result<String>

fn write_2(&self, fs: &mut FileStorage, name: &str) -> Result<()>

fn write_3(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

impl From<AffineFeature> for Algorithm

fn from(s: AffineFeature) -> Self

Converts to this type from the input type.

impl From<AffineFeature> for Feature2D

fn from(s: AffineFeature) -> Self

Converts to this type from the input type.

impl TryFrom<Feature2D> for AffineFeature

type Error = Error

The type returned in the event of a conversion error.

fn try_from(s: Feature2D) -> Result<Self>

Performs the conversion.

impl Send for AffineFeature