Struct opencv::xfeatures2d::DAISY

pub struct DAISY { /* private fields */ }

Class implementing DAISY descriptor, described in Tola10

Parameters

• radius: radius of the descriptor at the initial scale
• q_radius: amount of radial range division quantity
• q_theta: amount of angular range division quantity
• q_hist: amount of gradient orientations range division quantity
• norm: choose descriptors normalization type, where DAISY::NRM_NONE will not do any normalization (default), DAISY::NRM_PARTIAL mean that histograms are normalized independently for L2 norm equal to 1.0, DAISY::NRM_FULL mean that descriptors are normalized for L2 norm equal to 1.0, DAISY::NRM_SIFT mean that descriptors are normalized for L2 norm equal to 1.0 but no individual one is bigger than 0.154 as in SIFT
• H: optional 3x3 homography matrix used to warp the grid of daisy but sampling keypoints remains unwarped on image
• interpolation: switch to disable interpolation for speed improvement at minor quality loss
• use_orientation: sample patterns using keypoints orientation, disabled by default.

Implementations

impl DAISY

pub fn create( radius: f32, q_radius: i32, q_theta: i32, q_hist: i32, norm: DAISY_NormalizationType, h: &impl ToInputArray, interpolation: bool, use_orientation: bool ) -> Result<Ptr<DAISY>>

C++ default parameters

• radius: 15
• q_radius: 3
• q_theta: 8
• q_hist: 8
• norm: DAISY::NRM_NONE
• h: noArray()
• interpolation: true
• use_orientation: false

pub fn create_def() -> Result<Ptr<DAISY>>

Note

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

• radius: 15
• q_radius: 3
• q_theta: 8
• q_hist: 8
• norm: DAISY::NRM_NONE
• h: noArray()
• interpolation: true
• use_orientation: false

Trait Implementations

impl AlgorithmTrait for DAISY

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

fn clear(&mut self) -> Result<()>

Clears the algorithm state

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

Reads algorithm parameters from a file storage

impl AlgorithmTraitConst for DAISY

fn as_raw_Algorithm(&self) -> *const c_void

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

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, 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 DAISY

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

Wrap the specified raw pointer

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

Return the underlying raw pointer while consuming this wrapper.

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

Return the underlying raw pointer.

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

Return the underlying mutable raw pointer

impl DAISYTrait for DAISY

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

fn set_radius(&mut self, radius: f32) -> Result<()>

fn set_q_radius(&mut self, q_radius: i32) -> Result<()>

fn set_q_theta(&mut self, q_theta: i32) -> Result<()>

fn set_q_hist(&mut self, q_hist: i32) -> Result<()>

fn set_norm(&mut self, norm: i32) -> Result<()>

fn set_h(&mut self, h: &impl ToInputArray) -> Result<()>

fn set_interpolation(&mut self, interpolation: bool) -> Result<()>

fn set_use_orientation(&mut self, use_orientation: bool) -> Result<()>

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

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

fn compute_1( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, descriptors: &mut impl ToOutputArray ) -> Result<()>

fn compute_2( &mut self, image: &impl ToInputArray, roi: Rect, descriptors: &mut impl ToOutputArray ) -> Result<()>

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

fn compute_3( &mut self, image: &impl ToInputArray, descriptors: &mut impl ToOutputArray ) -> Result<()>

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

impl DAISYTraitConst for DAISY

fn as_raw_DAISY(&self) -> *const c_void

fn get_radius(&self) -> Result<f32>

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

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

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

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

fn get_h(&self) -> Result<Mat>

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

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

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

fn get_descriptor( &self, y: f64, x: f64, orientation: i32, descriptor: &mut f32 ) -> Result<()>

Parameters

fn get_descriptor_1( &self, y: f64, x: f64, orientation: i32, descriptor: &mut f32, h: &mut f64 ) -> Result<bool>

Parameters

fn get_unnormalized_descriptor( &self, y: f64, x: f64, orientation: i32, descriptor: &mut f32 ) -> Result<()>

Parameters

fn get_unnormalized_descriptor_1( &self, y: f64, x: f64, orientation: i32, descriptor: &mut f32, h: &mut f64 ) -> Result<bool>

Parameters

impl Debug for DAISY

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

Formats the value using the given formatter.

impl Drop for DAISY

fn drop(&mut self)

Executes the destructor for this type.

impl Feature2DTrait for DAISY

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_from_node(&mut self, unnamed: &impl FileNodeTraitConst) -> Result<()>

impl Feature2DTraitConst for DAISY

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_to_storage(&self, unnamed: &mut impl FileStorageTrait) -> Result<()>

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

Return true if detector object is empty

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

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

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

impl From<DAISY> for Algorithm

fn from(s: DAISY) -> Self

Converts to this type from the input type.

impl From<DAISY> for Feature2D

fn from(s: DAISY) -> Self

Converts to this type from the input type.

impl Send for DAISY