|---| | [ View source on GitHub](https://github.com/google-ai-edge/mediapipe/blob/master/mediapipe/tasks/python/vision/holistic_landmarker.py#L225-L273) | Options for the holistic landmarker task. mp.tasks.vision.HolisticLandmarkerOptions( 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, 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_lib.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 ) Return self==value.


| ## 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 | `` |