Introducing LiteRT: Google's high-performance runtime for on-device AI, formerly known as TensorFlow Lite. Learn more

FaceLandmarkerResult

public abstract class FaceLandmarkerResult

Represents the face landmarks detection results generated by FaceLandmarker.

Public Constructors

FaceLandmarkerResult()

Public Methods

abstract Optional<List<List<Category>>>	faceBlendshapes() Optional face blendshapes classifications.
abstract List<List<NormalizedLandmark>>	faceLandmarks() Face landmarks of detected faces.
abstract Optional<List<float[]>>	facialTransformationMatrixes() Optional facial transformation matrix list from canonical face to the detected face landmarks.
abstract long	timestampMs() Returns the timestamp that is associated with the task result object.

Inherited Methods

From class java.lang.Object

boolean	equals(Object arg0)
final Class<?>	getClass()
int	hashCode()
final void	notify()
final void	notifyAll()
String	toString()
final void	wait(long arg0, int arg1)
final void	wait(long arg0)
final void	wait()

From interface com.google.mediapipe.tasks.core.TaskResult

abstract long

timestampMs()

Returns the timestamp that is associated with the task result object.

Public Constructors

public FaceLandmarkerResult ()

Public Methods

public abstract Optional<List<List<Category>>> faceBlendshapes ()

Optional face blendshapes classifications.

public abstract List<List<NormalizedLandmark>> faceLandmarks ()

Face landmarks of detected faces.

public abstract Optional<List<float[]>> facialTransformationMatrixes ()

Optional facial transformation matrix list from canonical face to the detected face landmarks. The 4x4 facial transformation matrix is represetned as a flat column-major float array.

public abstract long timestampMs ()

Returns the timestamp that is associated with the task result object.