Struct opencv::xfeatures2d::VGG

pub struct VGG { /* private fields */ }

Class implementing VGG (Oxford Visual Geometry Group) descriptor trained end to end using “Descriptor Learning Using Convex Optimisation” (DLCO) aparatus described in Simonyan14.

Parameters

• desc: type of descriptor to use, VGG::VGG_120 is default (120 dimensions float) Available types are VGG::VGG_120, VGG::VGG_80, VGG::VGG_64, VGG::VGG_48

• isigma: gaussian kernel value for image blur (default is 1.4f)

• img_normalize: use image sample intensity normalization (enabled by default)

• use_orientation: sample patterns using keypoints orientation, enabled by default

• scale_factor: adjust the sampling window of detected keypoints to 64.0f (VGG sampling window) 6.25f is default and fits for KAZE, SURF detected keypoints window ratio 6.75f should be the scale for SIFT detected keypoints window ratio 5.00f should be the scale for AKAZE, MSD, AGAST, FAST, BRISK keypoints window ratio 0.75f should be the scale for ORB keypoints ratio

• dsc_normalize: clamp descriptors to 255 and convert to uchar CV_8UC1 (disabled by default)

Implementations

impl VGG

pub fn create( desc: i32, isigma: f32, img_normalize: bool, use_scale_orientation: bool, scale_factor: f32, dsc_normalize: bool ) -> Result<Ptr<VGG>>

C++ default parameters

• desc: VGG::VGG_120
• isigma: 1.4f
• img_normalize: true
• use_scale_orientation: true
• scale_factor: 6.25f
• dsc_normalize: false

Trait Implementations

impl AlgorithmTrait for VGG

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 VGG

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 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 VGG

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 VGG

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

Formats the value using the given formatter.

impl Drop for VGG

fn drop(&mut self)

Executes the destructor for this type.

impl Feature2DTrait for VGG

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

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

impl Feature2DTraitConst for VGG

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<VGG> for Algorithm

fn from(s: VGG) -> Self

Converts to this type from the input type.

impl From<VGG> for Feature2D

fn from(s: VGG) -> Self

Converts to this type from the input type.

impl VGGTrait for VGG

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

fn set_sigma(&mut self, isigma: f32) -> Result<()>

fn set_use_normalize_image(&mut self, img_normalize: bool) -> Result<()>

fn set_use_scale_orientation( &mut self, use_scale_orientation: bool ) -> Result<()>

fn set_scale_factor(&mut self, scale_factor: f32) -> Result<()>

fn set_use_normalize_descriptor(&mut self, dsc_normalize: bool) -> Result<()>

impl VGGTraitConst for VGG

fn as_raw_VGG(&self) -> *const c_void

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

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

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

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

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

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

impl Send for VGG