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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'>
|