Trait opencv::prelude::HarrisLaplaceFeatureDetector
source · pub trait HarrisLaplaceFeatureDetector: Feature2DTrait + HarrisLaplaceFeatureDetectorConst {
fn as_raw_mut_HarrisLaplaceFeatureDetector(&mut self) -> *mut c_void;
fn set_num_octaves(&mut self, num_octaves_: i32) -> Result<()> { ... }
fn set_corn_thresh(&mut self, corn_thresh_: f32) -> Result<()> { ... }
fn set_dog_thresh(&mut self, dog_thresh_: f32) -> Result<()> { ... }
fn set_max_corners(&mut self, max_corners_: i32) -> Result<()> { ... }
fn set_num_layers(&mut self, num_layers_: i32) -> Result<()> { ... }
}
Required Methods§
fn as_raw_mut_HarrisLaplaceFeatureDetector(&mut self) -> *mut c_void
Provided Methods§
fn set_num_octaves(&mut self, num_octaves_: i32) -> Result<()>
fn set_corn_thresh(&mut self, corn_thresh_: f32) -> Result<()>
fn set_dog_thresh(&mut self, dog_thresh_: f32) -> Result<()>
fn set_max_corners(&mut self, max_corners_: i32) -> Result<()>
fn set_num_layers(&mut self, num_layers_: i32) -> Result<()>
Implementations§
source§impl dyn HarrisLaplaceFeatureDetector + '_
impl dyn HarrisLaplaceFeatureDetector + '_
sourcepub fn create(
num_octaves: i32,
corn_thresh: f32,
dog_thresh: f32,
max_corners: i32,
num_layers: i32
) -> Result<Ptr<dyn HarrisLaplaceFeatureDetector>>
pub fn create(
num_octaves: i32,
corn_thresh: f32,
dog_thresh: f32,
max_corners: i32,
num_layers: i32
) -> Result<Ptr<dyn HarrisLaplaceFeatureDetector>>
Creates a new implementation instance.
Parameters
- numOctaves: the number of octaves in the scale-space pyramid
- corn_thresh: the threshold for the Harris cornerness measure
- DOG_thresh: the threshold for the Difference-of-Gaussians scale selection
- maxCorners: the maximum number of corners to consider
- num_layers: the number of intermediate scales per octave
C++ default parameters
- num_octaves: 6
- corn_thresh: 0.01f
- dog_thresh: 0.01f
- max_corners: 5000
- num_layers: 4