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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/face_detector.py#L134-L162) |

Options for the face detector task.

    mp.tasks.vision.FaceDetectorOptions(
        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,
        min_detection_confidence: float = 0.5,
        min_suppression_threshold: float = 0.3,
        result_callback: Optional[Callable[[detections_module.DetectionResult, image_module.Image,
            int], None]] = None
    )

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| ## Attributes ||
|---|---|
| `base_options` | Base options for the face detector task. |
| `running_mode` | The running mode of the task. Default to the image mode. Face detector task has three running modes: 1) The image mode for detecting faces on single image inputs. 2) The video mode for detecting faces on the decoded frames of a video. 3) The live stream mode for detecting faces on a live stream of input data, such as from camera. |
| `min_detection_confidence` | The minimum confidence score for the face detection to be considered successful. |
| `min_suppression_threshold` | The minimum non-maximum-suppression threshold for face detection to be considered overlapped. |
| `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_detection_confidence | `0.5` |
| min_suppression_threshold | `0.3` |
| result_callback | `None` |
| running_mode | `<VisionTaskRunningMode.IMAGE: 'IMAGE'>` |

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