Trait opencv::prelude::VGG

source ·

pub trait VGG: Feature2DTrait + VGGConst {
    // Required method
    fn as_raw_mut_VGG(&mut self) -> *mut c_void;

    // Provided methods
    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<()> { ... }
}

Expand description

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)