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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/components/containers/landmark.py#L23-L63) |

A landmark that can have 1 to 3 dimensions.

    mp.tasks.components.containers.Landmark(
        x: Optional[float] = None,
        y: Optional[float] = None,
        z: Optional[float] = None,
        visibility: Optional[float] = None,
        presence: Optional[float] = None,
        name: Optional[str] = None
    )

Use x for 1D points, (x, y) for 2D points and (x, y, z) for 3D points.

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| ## Attributes ||
|---|---|
| `x` | The x coordinate. |
| `y` | The y coordinate. |
| `z` | The z coordinate. |
| `visibility` | Landmark visibility. Should stay unset if not supported. Float score of whether landmark is visible or occluded by other objects. Landmark considered as invisible also if it is not present on the screen (out of scene bounds). Depending on the model, visibility value is either a sigmoid or an argument of sigmoid. |
| `presence` | Landmark presence. Should stay unset if not supported. Float score of whether landmark is present on the scene (located within scene bounds). Depending on the model, presence value is either a result of sigmoid or an argument of sigmoid function to get landmark presence probability. |
| `name` | The name of the landmark. |

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## Methods

### `from_ctypes`

[View source](https://github.com/google-ai-edge/mediapipe/blob/master/mediapipe/tasks/python/components/containers/landmark.py#L52-L63)

    @classmethod
    from_ctypes(
        c_struct: landmark_c_module.MpLandmarkC
    ) -> 'Landmark'

Creates a `Landmark` object from the given ctypes struct.

### `__eq__`

    __eq__(
        other
    )

Return self==value.

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| ## Class Variables ||
|---|---|
| name | `None` |
| presence | `None` |
| visibility | `None` |
| x | `None` |
| y | `None` |
| z | `None` |

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