mp.tasks.vision.GestureRecognizerOptions

Options for the gesture recognizer task.

mp.tasks.vision.GestureRecognizerOptions(
    base_options: mp.tasks.BaseOptions,
    running_mode: mp.tasks.vision.RunningMode = mp.tasks.vision.FaceDetectorOptions.running_mode,
    num_hands: int = 1,
    min_hand_detection_confidence: float = 0.5,
    min_hand_presence_confidence: float = 0.5,
    min_tracking_confidence: float = 0.5,
    canned_gesture_classifier_options: mp.tasks.components.processors.ClassifierOptions = dataclasses.field(default_factory=_ClassifierOptions),
    custom_gesture_classifier_options: mp.tasks.components.processors.ClassifierOptions = dataclasses.field(default_factory=_ClassifierOptions),
    result_callback: Optional[Callable[[GestureRecognizerResult, image_module.Image, int], None]] = None
)

Attributes
base_options	Base options for the hand gesture recognizer task.
running_mode	The running mode of the task. Default to the image mode. Gesture recognizer task has three running modes: 1) The image mode for recognizing hand gestures on single image inputs. 2) The video mode for recognizing hand gestures on the decoded frames of a video. 3) The live stream mode for recognizing hand gestures on a live stream of input data, such as from camera.
num_hands	The maximum number of hands can be detected by the recognizer.
min_hand_detection_confidence	The minimum confidence score for the hand detection to be considered successful.
min_hand_presence_confidence	The minimum confidence score of hand presence score in the hand landmark detection.
min_tracking_confidence	The minimum confidence score for the hand tracking to be considered successful.
canned_gesture_classifier_options	Options for configuring the canned gestures classifier, such as score threshold, allow list and deny list of gestures. The categories for canned gesture classifiers are: ["None", "Closed_Fist", "Open_Palm", "Pointing_Up", "Thumb_Down", "Thumb_Up", "Victory", "ILoveYou"]. Note this option is subject to change.
custom_gesture_classifier_options	Options for configuring the custom gestures classifier, such as score threshold, allow list and deny list of gestures. Note this option is subject to change.
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_hand_detection_confidence	0.5
min_hand_presence_confidence	0.5
min_tracking_confidence	0.5
num_hands	1
result_callback	None
running_mode	<VisionTaskRunningMode.IMAGE: 'IMAGE'>