multipaz-mlkit/org.multipaz.facedetection

Package-level declarations

Types

data class DetectedFace(val boundingBox: Rect, val trackingId: Int, val rightEyeOpenProbability: Float, val leftEyeOpenProbability: Float, val smilingProbability: Float, val headEulerAngleX: Float, val headEulerAngleY: Float, val headEulerAngleZ: Float, val landmarks: List<FaceLandmark>, val contours: List<FaceContour>)

MLKit face detection result object copy of the recognized face data and facial features as detected.

FaceContour

data class FaceContour(val type: FaceContourType, val points: List<Offset>)

MLKit face detection result object copy of the facial contour type recognized.

FaceContourType

enum FaceContourType : Enum<FaceContourType>

Facial contour types detectable by MLKit. (common IDs to support different Android and iOS implementation of them in MLKit).

FaceLandmark

data class FaceLandmark(val type: FaceLandmarkType, val position: Offset)

MLKit face detection result object copy of the facial landmark type recognized.

FaceLandmarkType

enum FaceLandmarkType : Enum<FaceLandmarkType>

Face landmark types detectable by MLKit. (common IDs to support different Android and iOS implementation of them in MLKit).

Functions

detectFaces

actual fun detectFaces(image: ImageBitmap): List<DetectedFace>?

actual fun detectFaces(frameData: CameraFrame): List<DetectedFace>?

expect fun detectFaces(image: ImageBitmap): List<DetectedFace>?

Use MLKit to detect faces in the given ImageBitmap.

expect fun detectFaces(frameData: CameraFrame): List<DetectedFace>?

Use MLKit to detect faces in the given CameraFrame.

actual fun detectFaces(frameData: <Error class: unknown class>): List<<Error class: unknown class>>?

actual fun detectFaces(image: <Error class: unknown class>): List<<Error class: unknown class>>?

toMFaceContourList

fun List<FaceContour>.toMFaceContourList(rotation: Int, size: Size): List<FaceContour>

toMFaceLandmarkList

fun List<FaceLandmark>.toMFaceLandmarkList(rotation: Int, size: Size): List<FaceLandmark>

toMultiplatformFace

fun Face.toMultiplatformFace(rotation: Int, size: Size): DetectedFace