FaceObservation

confidence

get confidence(): number

let confidence: Float

The level of confidence normalized to `[0, 1]` where `1` is most confident. The only exception is results coming from `CoreMLRequest`, where confidence values are forwarded as is from relevant CoreML models

init

static initBoundingBoxRevision(boundingBox: NormalizedRect, revision?: (DetectFaceRectanglesRequest_Revision) | null): FaceObservation

init(boundingBox: NormalizedRect, revision: DetectFaceRectanglesRequest.Revision? = nil)

- Parameters: - boundingBox: The bounding rectangle of the detected face. - revision: The revision of the `DetectFaceRectanglesRequest` that provided the bounding box. If no revision is provided, a default value is assumed. Different revisions can affect how the bounding box is interpreted by Vision.

boundingBox

get boundingBox(): NormalizedRect

var boundingBox: NormalizedRect

The bounding box of the object. The coordinate system is normalized to the dimensions of the processed image, with the origin at the lower-left corner of the image.

boundingBox

set boundingBox(value: NormalizedRect)

var boundingBox: NormalizedRect

The bounding box of the object. The coordinate system is normalized to the dimensions of the processed image, with the origin at the lower-left corner of the image.

description

get description(): string

var description: String { get }

A textual representation of this instance. Calling this property directly is discouraged. Instead, convert an instance of any type to a string by using the `String(describing:)` initializer. This initializer works with any type, and uses the custom `description` property for types that conform to `CustomStringConvertible`: struct Point: CustomStringConvertible { let x: Int, y: Int var description: String { return "(\(x), \(y))" } } let p = Point(x: 21, y: 30) let s = String(describing: p) print(s) // Prints "(21, 30)" The conversion of `p` to a string in the assignment to `s` uses the `Point` type's `description` property.

captureQuality

get captureQuality(): (FaceObservation_CaptureQuality) | null

var captureQuality: FaceObservation.CaptureQuality?

The quality of the face capture. This value is nil for face observations produced by a `DetectFaceRectanglesRequest` analysis. Use ``DetectFaceCaptureQualityRequest`` to detect capture quality.

captureQuality

set captureQuality(value: (FaceObservation_CaptureQuality) | null)

var captureQuality: FaceObservation.CaptureQuality?

The quality of the face capture. This value is nil for face observations produced by a `DetectFaceRectanglesRequest` analysis. Use ``DetectFaceCaptureQualityRequest`` to detect capture quality.

originatingRequestDescriptor

get originatingRequestDescriptor(): (RequestDescriptor) | null

let originatingRequestDescriptor: RequestDescriptor?

The descriptor of the request that produced the observation.

yaw

get yaw(): _Foundation_Measurement<_Foundation_UnitAngle>

let yaw: Measurement<UnitAngle>

The yaw angle of a face. This value indicates the rotational angle of the face around the y-axis.

roll

get roll(): _Foundation_Measurement<_Foundation_UnitAngle>

let roll: Measurement<UnitAngle>

The roll angle of a face. This value indicates the rotational angle of the face around the z-axis.

uuid

get uuid(): string

let uuid: UUID

The unique identifier for the observation.

pitch

get pitch(): _Foundation_Measurement<_Foundation_UnitAngle>

let pitch: Measurement<UnitAngle>

The pitch angle of a face. This value indicates the rotational angle of the face around the x-axis.

landmarks

get landmarks(): (FaceObservation_Landmarks2D) | null

var landmarks: FaceObservation.Landmarks2D?

The facial features of the detected face. This value is nil for face observations produced by a `DetectFaceRectanglesRequest` analysis. Use the `DetectFaceLandmarksRequest` class to find facial features.

landmarks

set landmarks(value: (FaceObservation_Landmarks2D) | null)

var landmarks: FaceObservation.Landmarks2D?

The facial features of the detected face. This value is nil for face observations produced by a `DetectFaceRectanglesRequest` analysis. Use the `DetectFaceLandmarksRequest` class to find facial features.

timeRange

get timeRange(): (_CoreMedia_CMTimeRange) | null

let timeRange: CMTimeRange?

The time range of the reported observation. When evaluating a sequence of image buffers, use this property to determine each observation’s start time and duration.

init

static init(observation: VNFaceObservation): FaceObservation

init(_ observation: VNFaceObservation)