mp.tasks.vision.HolisticLandmarkerOptions

Options for the holistic landmarker task.

View aliases

Main aliases

mp.tasks.vision.holistic_landmarker.HolisticLandmarkerOptions

mp.tasks.vision.HolisticLandmarkerOptions(
    base_options: mp.tasks.BaseOptions,
    running_mode: mp.tasks.vision.RunningMode = mp.tasks.vision.FaceDetectorOptions.running_mode,
    min_face_detection_confidence: float = 0.5,
    min_face_suppression_threshold: float = 0.5,
    min_face_landmarks_confidence: float = 0.5,
    min_pose_detection_confidence: float = 0.5,
    min_pose_suppression_threshold: float = 0.5,
    min_pose_landmarks_confidence: float = 0.5,
    min_hand_landmarks_confidence: float = 0.5,
    output_face_blendshapes: bool = False,
    output_segmentation_mask: bool = False,
    result_callback: Optional[Callable[[HolisticLandmarkerResult, image_module.Image, int], None]] = None
)

Attributes
base_options	Base options for the holistic landmarker task.
running_mode	The running mode of the task. Default to the image mode. HolisticLandmarker has three running modes: 1) The image mode for detecting holistic landmarks on single image inputs. 2) The video mode for detecting holistic landmarks on the decoded frames of a video. 3) The live stream mode for detecting holistic 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.
min_face_detection_confidence	The minimum confidence score for the face detection to be considered successful.
min_face_suppression_threshold	The minimum non-maximum-suppression threshold for face detection to be considered overlapped.
min_face_landmarks_confidence	The minimum confidence score for the face landmark detection to be considered successful.
min_pose_detection_confidence	The minimum confidence score for the pose detection to be considered successful.
min_pose_suppression_threshold	The minimum non-maximum-suppression threshold for pose detection to be considered overlapped.
min_pose_landmarks_confidence	The minimum confidence score for the pose landmark detection to be considered successful.
min_hand_landmarks_confidence	The minimum confidence score for the hand landmark detection to be considered successful.
output_face_blendshapes	Whether HolisticLandmarker outputs face blendshapes classification. Face blendshapes are used for rendering the 3D face model.
output_segmentation_mask	whether to output segmentation masks.
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
)

Class Variables
min_face_detection_confidence	0.5
min_face_landmarks_confidence	0.5
min_face_suppression_threshold	0.5
min_hand_landmarks_confidence	0.5
min_pose_detection_confidence	0.5
min_pose_landmarks_confidence	0.5
min_pose_suppression_threshold	0.5
output_face_blendshapes	False
output_segmentation_mask	False
result_callback	None
running_mode	<VisionTaskRunningMode.IMAGE: 'IMAGE'>