@vladmandic/human - v3.3.6
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    Interface FaceResult

    Face results

    • Combined results of face detector, face mesh, age, gender, emotion, embedding, iris models
    • Some values may be null if specific model is not enabled
    interface FaceResult {
        age?: number;
        annotations: Record<FaceLandmark, Point[]>;
        box: Box;
        boxRaw: Box;
        boxScore: number;
        distance?: number;
        embedding?: number[];
        emotion?: { emotion: Emotion; score: number }[];
        faceScore: number;
        gender?: Gender;
        genderScore?: number;
        id: number;
        live?: number;
        mesh: Point[];
        meshRaw: Point[];
        race?: { race: Race; score: number }[];
        real?: number;
        rotation?:
            | null
            | {
                angle: { pitch: number; roll: number; yaw: number };
                gaze: { bearing: number; strength: number };
                matrix: [
                    number,
                    number,
                    number,
                    number,
                    number,
                    number,
                    number,
                    number,
                    number,
                ];
            };
        score: number;
        size: [number, number];
        tensor?: Tensor<Rank>;
    }
    Index

    Properties

    age? annotations box boxRaw boxScore distance? embedding? emotion? faceScore gender? genderScore? id live? mesh meshRaw race? real? rotation? score size tensor?

    Properties

    age?: number

    detected age

    annotations: Record<FaceLandmark, Point[]>

    mesh keypoints combined into annotated results

    box: Box

    detected face box

    boxRaw: Box

    detected face box normalized to 0..1

    boxScore: number

    detection score

    distance?: number

    face distance from camera

    embedding?: number[]

    face descriptor

    emotion?: { emotion: Emotion; score: number }[]

    detected emotions

    faceScore: number

    mesh score

    gender?: Gender

    detected gender

    genderScore?: number

    gender detection score

    id: number

    face id

    live?: number

    face liveness result confidence

    mesh: Point[]

    detected face mesh

    meshRaw: Point[]

    detected face mesh normalized to 0..1

    race?: { race: Race; score: number }[]

    detected race

    real?: number

    face anti-spoofing result confidence

    rotation?:
        | null
        | {
            angle: { pitch: number; roll: number; yaw: number };
            gaze: { bearing: number; strength: number };
            matrix: [
                number,
                number,
                number,
                number,
                number,
                number,
                number,
                number,
                number,
            ];
        }

    face rotation details

    score: number

    overall face score

    size: [number, number]

    detected face box size

    tensor?: Tensor<Rank>

    detected face as tensor that can be used in further pipelines

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