pub trait FaceRecognizerSFConst {
fn as_raw_FaceRecognizerSF(&self) -> *const c_void;
fn align_crop(
&self,
src_img: &dyn ToInputArray,
face_box: &dyn ToInputArray,
aligned_img: &mut dyn ToOutputArray
) -> Result<()> { ... }
fn match_(
&self,
face_feature1: &dyn ToInputArray,
face_feature2: &dyn ToInputArray,
dis_type: i32
) -> Result<f64> { ... }
}
Expand description
DNN-based face recognizer
model download link: https://github.com/opencv/opencv_zoo/tree/master/models/face_recognition_sface
Required Methods
fn as_raw_FaceRecognizerSF(&self) -> *const c_void
Provided Methods
sourcefn align_crop(
&self,
src_img: &dyn ToInputArray,
face_box: &dyn ToInputArray,
aligned_img: &mut dyn ToOutputArray
) -> Result<()>
fn align_crop(
&self,
src_img: &dyn ToInputArray,
face_box: &dyn ToInputArray,
aligned_img: &mut dyn ToOutputArray
) -> Result<()>
Aligning image to put face on the standard position
Parameters
- src_img: input image
- face_box: the detection result used for indicate face in input image
- aligned_img: output aligned image
sourcefn match_(
&self,
face_feature1: &dyn ToInputArray,
face_feature2: &dyn ToInputArray,
dis_type: i32
) -> Result<f64>
fn match_(
&self,
face_feature1: &dyn ToInputArray,
face_feature2: &dyn ToInputArray,
dis_type: i32
) -> Result<f64>
Calculating the distance between two face features
Parameters
- face_feature1: the first input feature
- face_feature2: the second input feature of the same size and the same type as face_feature1
- dis_type: defining the similarity with optional values “FR_OSINE” or “FR_NORM_L2”
C++ default parameters
- dis_type: FaceRecognizerSF::FR_COSINE