Struct TBMR

pub struct TBMR { /* private fields */ }

Class implementing the Tree Based Morse Regions (TBMR) as described in Najman2014 extended with scaled extraction ability.

Parameters

• min_area: prune areas smaller than minArea
• max_area_relative: prune areas bigger than maxArea = max_area_relative * input_image_size
• scale_factor: scale factor for scaled extraction.
• n_scales: number of applications of the scale factor (octaves).

Note: This algorithm is based on Component Tree (Min/Max) as well as MSER but uses a Morse-theory approach to extract features.

Features are ellipses (similar to MSER, however a MSER feature can never be a TBMR feature and vice versa).

Implementations

impl TBMR

pub fn create( min_area: i32, max_area_relative: f32, scale_factor: f32, n_scales: i32, ) -> Result<Ptr<TBMR>>

C++ default parameters

• min_area: 60
• max_area_relative: 0.01f
• scale_factor: 1.25f
• n_scales: -1

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

Note

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

• min_area: 60
• max_area_relative: 0.01f
• scale_factor: 1.25f
• n_scales: -1

Trait Implementations

impl AffineFeature2DTrait for TBMR

fn as_raw_mut_AffineFeature2D(&mut self) -> *mut c_void

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

Detects keypoints in the image using the wrapped detector and performs affine adaptation to augment them with their elliptic regions.

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

Detects keypoints in the image using the wrapped detector and performs affine adaptation to augment them with their elliptic regions.

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

Detects keypoints and computes descriptors for their surrounding regions, after warping them into circles.

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

Detects keypoints and computes descriptors for their surrounding regions, after warping them into circles.

impl AffineFeature2DTraitConst for TBMR

fn as_raw_AffineFeature2D(&self) -> *const c_void

impl AlgorithmTrait for TBMR

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 TBMR

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 TBMR

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

Wrap the specified raw pointer

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

Return the underlying raw pointer while consuming this wrapper.

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

Return the underlying raw pointer.

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

Return the underlying mutable raw pointer

impl Debug for TBMR

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

Formats the value using the given formatter.

impl Drop for TBMR

fn drop(&mut self)

Executes the destructor for this type.

impl Feature2DTrait for TBMR

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 TBMR

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<TBMR> for AffineFeature2D

fn from(s: TBMR) -> Self

Converts to this type from the input type.

impl From<TBMR> for Algorithm

fn from(s: TBMR) -> Self

Converts to this type from the input type.

impl From<TBMR> for Feature2D

fn from(s: TBMR) -> Self

Converts to this type from the input type.

impl TBMRTrait for TBMR

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

fn set_min_area(&mut self, min_area: i32) -> Result<()>

fn set_max_area_relative(&mut self, max_area: f32) -> Result<()>

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

fn set_n_scales(&mut self, n_scales: i32) -> Result<()>

impl TBMRTraitConst for TBMR

fn as_raw_TBMR(&self) -> *const c_void

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

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

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

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

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

impl TryFrom<AffineFeature2D> for TBMR

type Error = Error

The type returned in the event of a conversion error.

fn try_from(s: AffineFeature2D) -> Result<Self>

Performs the conversion.

impl Send for TBMR