|---| | [ View source on GitHub](https://github.com/google-ai-edge/mediapipe/blob/master/mediapipe/tasks/python/vision/face_landmarker.py#L2984-L3026) | Options for the face landmarker task. mp.tasks.vision.FaceLandmarkerOptions( base_options: https://developers.google.com/edge/api/mediapipe/python/mp/tasks/BaseOptions, running_mode: https://developers.google.com/edge/api/mediapipe/python/mp/tasks/vision/RunningMode = https://developers.google.com/edge/api/mediapipe/python/mp/tasks/vision/FaceDetectorOptions#running_mode, num_faces: int = 1, min_face_detection_confidence: float = 0.5, min_face_presence_confidence: float = 0.5, min_tracking_confidence: float = 0.5, output_face_blendshapes: bool = False, output_facial_transformation_matrixes: bool = False, result_callback: Optional[Callable[[FaceLandmarkerResult, image_lib.Image, int], None]] = None )


| ## Attributes || |---|---| | `base_options` | Base options for the face landmarker task. | | `running_mode` | The running mode of the task. Default to the image mode. FaceLandmarker has three running modes: 1) The image mode for detecting face landmarks on single image inputs. 2) The video mode for detecting face landmarks on the decoded frames of a video. 3) The live stream mode for detecting face landmarks on the live stream of input data, such as from camera. In this mode, the "result_callback" below must be specified to receive the detection results asynchronously. | | `num_faces` | The maximum number of faces that can be detected by the FaceLandmarker. | | `min_face_detection_confidence` | The minimum confidence score for the face detection to be considered successful. | | `min_face_presence_confidence` | The minimum confidence score of face presence score in the face landmark detection. | | `min_tracking_confidence` | The minimum confidence score for the face tracking to be considered successful. | | `output_face_blendshapes` | Whether FaceLandmarker outputs face blendshapes classification. Face blendshapes are used for rendering the 3D face model. | | `output_facial_transformation_matrixes` | Whether FaceLandmarker outputs facial transformation_matrix. Facial transformation matrix is used to transform the face landmarks in canonical face to the detected face, so that users can apply face effects on the detected landmarks. | | `result_callback` | The user-defined result callback for processing live stream data. The result callback should only be specified when the running mode is set to the live stream mode. |
## Methods ### `__eq__` __eq__( other ) Return self==value.


| ## Class Variables || |---|---| | min_face_detection_confidence | `0.5` | | min_face_presence_confidence | `0.5` | | min_tracking_confidence | `0.5` | | num_faces | `1` | | output_face_blendshapes | `False` | | output_facial_transformation_matrixes | `False` | | result_callback | `None` | | running_mode | `` |