mp.tasks.vision.PoseLandmarkerOptions

Options for the pose landmarker task.

mp.tasks.vision.PoseLandmarkerOptions(
    base_options: mp.tasks.BaseOptions,
    running_mode: mp.tasks.vision.RunningMode = mp.tasks.vision.FaceDetectorOptions.running_mode,
    num_poses: int = 1,
    min_pose_detection_confidence: float = 0.5,
    min_pose_presence_confidence: float = 0.5,
    min_tracking_confidence: float = 0.5,
    output_segmentation_masks: bool = False,
    result_callback: Optional[Callable[[PoseLandmarkerResult, image_module.Image, int], None]] = None
)

base_options Base options for the pose landmarker task.
running_mode The running mode of the task. Default to the image mode. PoseLandmarker has three running modes: 1) The image mode for detecting pose landmarks on single image inputs. 2) The video mode for detecting pose landmarks on the decoded frames of a video. 3) The live stream mode for detecting pose 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_poses The maximum number of poses can be detected by the PoseLandmarker.
min_pose_detection_confidence The minimum confidence score for the pose detection to be considered successful.
min_pose_presence_confidence The minimum confidence score of pose presence score in the pose landmark detection.
min_tracking_confidence The minimum confidence score for the pose tracking to be considered successful.
output_segmentation_masks 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
)

min_pose_detection_confidence 0.5
min_pose_presence_confidence 0.5
min_tracking_confidence 0.5
num_poses 1
output_segmentation_masks False
result_callback None
running_mode <VisionTaskRunningMode.IMAGE: 'IMAGE'>