Struct Face 

#[repr(C, packed(1))]
pub struct Face {
    pub box_confidence: u8,
    pub box_left: u8,
    pub box_top: u8,
    pub box_right: u8,
    pub box_bottom: u8,
    pub id_confidence: i8,
    pub id: Option<PersonID>,
    pub is_facing: bool,
}

Fields

box_confidence: u8

Confidence of the box prediction, ranges from 1 to 100.

box_left: u8

box_top: u8

box_right: u8

box_bottom: u8

id_confidence: i8

The confidence of “calibrated” identities ranges from 1 to 100, and will be 0 or less if this face is not recognized as any of the calibrated identities or is not the largest face in the frame.

id: Option<PersonID>

The ID number of the face, if it is recognized as any of the calibrated identities and is the largest face in the frame. By default, the sensor will not run any recognition until calibration has been performed. After at least one person has been calibrated, the sensor will always run recognition on the largest face present, and assign an ID number if it’s recognized as one that it has been calibrated on.

is_facing: bool

Indicates if somebody is looking directly at the device

Note: ID works most reliably when the face is straight on to the sensor

Trait Implementations

impl Clone for Face

fn clone(&self) -> Face

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for Face

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

Formats the value using the given formatter.

impl PartialEq for Face

fn eq(&self, other: &Face) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for Face