|---|
| [ View source on GitHub](https://github.com/google-ai-edge/mediapipe/blob/master/mediapipe/tasks/python/vision/gesture_recognizer.py#L166-L292) |
Options for the gesture recognizer task.
```python
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_gestures_classifier_options: Optional[`mp.tasks.components.processors.ClassifierOptions`] = None,
custom_gestures_classifier_options: Optional[`mp.tasks.components.processors.ClassifierOptions`] = None,
result_callback: Optional[Callable[[GestureRecognizerResult, image_lib.Image, int], None]] = None,
*,
canned_gesture_classifier_options: Optional[`mp.tasks.components.processors.ClassifierOptions`] = None,
custom_gesture_classifier_options: Optional[`mp.tasks.components.processors.ClassifierOptions`] = 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_gestures_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_gestures_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. |
| `canned_gesture_classifier_options` | Deprecated alias for `canned_gestures_classifier_options`. |
| `custom_gesture_classifier_options` | Deprecated alias for `custom_gestures_classifier_options`. |
## Methods
### `__eq__`
```python
__eq__(
other
)
```
Return self==value.
| ## 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 | `` |