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| [![](https://www.tensorflow.org/images/GitHub-Mark-32px.png) View source on GitHub](https://github.com/google-ai-edge/mediapipe/blob/master/mediapipe/tasks/python/vision/hand_landmarker.py#L295-L329) |

Options for the hand landmarker task.

    mp.tasks.vision.HandLandmarkerOptions(
        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,
        num_hands: int = 1,
        min_hand_detection_confidence: float = 0.5,
        min_hand_presence_confidence: float = 0.5,
        min_tracking_confidence: float = 0.5,
        result_callback: Optional[Callable[[HandLandmarkerResult, image_lib.Image, int], None]] = None
    )

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| ## Attributes ||
|---|---|
| `base_options` | Base options for the hand landmarker task. |
| `running_mode` | The running mode of the task. Default to the image mode. HandLandmarker has three running modes: 1) The image mode for detecting hand landmarks on single image inputs. 2) The video mode for detecting hand landmarks on the decoded frames of a video. 3) The live stream mode for detecting hand 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_hands` | The maximum number of hands can be detected by the hand landmarker. |
| `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. |
| `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. |

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## Methods

### `__eq__`

    __eq__(
        other
    )

Return self==value.

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| ## 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'>` |

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