Struct opencv::features2d::AffineFeature
source · pub struct AffineFeature { /* private fields */ }
Expand description
Class for implementing the wrapper which makes detectors and extractors to be affine invariant, described as ASIFT in YM11 .
Implementations§
source§impl AffineFeature
impl AffineFeature
sourcepub fn create(
backend: &Ptr<Feature2D>,
max_tilt: i32,
min_tilt: i32,
tilt_step: f32,
rotate_step_base: f32
) -> Result<Ptr<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
sourcepub fn create_def(backend: &Ptr<Feature2D>) -> Result<Ptr<AffineFeature>>
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§
source§impl AffineFeatureTrait for AffineFeature
impl AffineFeatureTrait for AffineFeature
source§impl AlgorithmTrait for AffineFeature
impl AlgorithmTrait for AffineFeature
source§impl AlgorithmTraitConst for AffineFeature
impl AlgorithmTraitConst for AffineFeature
fn as_raw_Algorithm(&self) -> *const c_void
source§fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>
fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>
Stores algorithm parameters in a file storage
source§fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>
fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>
Stores algorithm parameters in a file storage Read more
source§fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>
fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>
@deprecated Read more
source§fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>
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: Read more
source§fn empty(&self) -> Result<bool>
fn empty(&self) -> Result<bool>
Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read
source§fn save(&self, filename: &str) -> Result<()>
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).
source§fn get_default_name(&self) -> Result<String>
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.
source§impl Boxed for AffineFeature
impl Boxed for AffineFeature
source§unsafe fn from_raw(
ptr: <AffineFeature as OpenCVFromExtern>::ExternReceive
) -> Self
unsafe fn from_raw( ptr: <AffineFeature as OpenCVFromExtern>::ExternReceive ) -> Self
Wrap the specified raw pointer Read more
source§fn into_raw(self) -> <AffineFeature as OpenCVTypeExternContainer>::ExternSendMut
fn into_raw(self) -> <AffineFeature as OpenCVTypeExternContainer>::ExternSendMut
Return the underlying raw pointer while consuming this wrapper. Read more
source§fn as_raw(&self) -> <AffineFeature as OpenCVTypeExternContainer>::ExternSend
fn as_raw(&self) -> <AffineFeature as OpenCVTypeExternContainer>::ExternSend
Return the underlying raw pointer. Read more
source§fn as_raw_mut(
&mut self
) -> <AffineFeature as OpenCVTypeExternContainer>::ExternSendMut
fn as_raw_mut( &mut self ) -> <AffineFeature as OpenCVTypeExternContainer>::ExternSendMut
Return the underlying mutable raw pointer Read more
source§impl Debug for AffineFeature
impl Debug for AffineFeature
source§impl Drop for AffineFeature
impl Drop for AffineFeature
source§impl Feature2DTrait for AffineFeature
impl Feature2DTrait for AffineFeature
fn as_raw_mut_Feature2D(&mut self) -> *mut c_void
source§fn detect(
&mut self,
image: &impl ToInputArray,
keypoints: &mut Vector<KeyPoint>,
mask: &impl ToInputArray
) -> Result<()>
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). Read more
source§fn detect_def(
&mut self,
image: &impl ToInputArray,
keypoints: &mut Vector<KeyPoint>
) -> Result<()>
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). Read more
source§fn detect_multiple(
&mut self,
images: &impl ToInputArray,
keypoints: &mut Vector<Vector<KeyPoint>>,
masks: &impl ToInputArray
) -> Result<()>
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). Read more
source§fn detect_multiple_def(
&mut self,
images: &impl ToInputArray,
keypoints: &mut Vector<Vector<KeyPoint>>
) -> Result<()>
fn detect_multiple_def( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>> ) -> Result<()>
@overload Read more
source§fn compute(
&mut self,
image: &impl ToInputArray,
keypoints: &mut Vector<KeyPoint>,
descriptors: &mut impl ToOutputArray
) -> Result<()>
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). Read more
source§fn compute_multiple(
&mut self,
images: &impl ToInputArray,
keypoints: &mut Vector<Vector<KeyPoint>>,
descriptors: &mut impl ToOutputArray
) -> Result<()>
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). Read more
source§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<()>
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 Read more
source§fn detect_and_compute_def(
&mut self,
image: &impl ToInputArray,
mask: &impl ToInputArray,
keypoints: &mut Vector<KeyPoint>,
descriptors: &mut impl ToOutputArray
) -> Result<()>
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 Read more
fn read(&mut self, file_name: &str) -> Result<()>
fn read_from_node(&mut self, unnamed: &impl FileNodeTraitConst) -> Result<()>
source§impl Feature2DTraitConst for AffineFeature
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_to_storage(&self, unnamed: &mut impl FileStorageTrait) -> Result<()>
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<()>
source§impl From<AffineFeature> for Algorithm
impl From<AffineFeature> for Algorithm
source§fn from(s: AffineFeature) -> Self
fn from(s: AffineFeature) -> Self
Converts to this type from the input type.
source§impl From<AffineFeature> for Feature2D
impl From<AffineFeature> for Feature2D
source§fn from(s: AffineFeature) -> Self
fn from(s: AffineFeature) -> Self
Converts to this type from the input type.
source§impl TryFrom<Feature2D> for AffineFeature
impl TryFrom<Feature2D> for AffineFeature
impl Send for AffineFeature
Auto Trait Implementations§
impl Freeze for AffineFeature
impl RefUnwindSafe for AffineFeature
impl !Sync for AffineFeature
impl Unpin for AffineFeature
impl UnwindSafe for AffineFeature
Blanket Implementations§
source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more
source§impl<Mat> ModifyInplace for Matwhere
Mat: Boxed,
impl<Mat> ModifyInplace for Matwhere
Mat: Boxed,
source§unsafe fn modify_inplace<Res>(
&mut self,
f: impl FnOnce(&Mat, &mut Mat) -> Res
) -> Res
unsafe fn modify_inplace<Res>( &mut self, f: impl FnOnce(&Mat, &mut Mat) -> Res ) -> Res
Helper function to call OpenCV functions that allow in-place modification of a
Mat
or another similar object. By passing
a mutable reference to the Mat
to this function your closure will get called with the read reference and a write references
to the same Mat
. This is of course unsafe as it breaks the Rust aliasing rules, but it might be useful for some performance
sensitive operations. One example of an OpenCV function that allows such in-place modification is imgproc::threshold
. Read more