MaskReferenceImage(
reference_id,
image: typing.Optional[
typing.Union[bytes, vertexai.vision_models.Image, str]
] = None,
mask_mode: typing.Optional[
typing.Literal[
"default", "user_provided", "background", "foreground", "semantic"
]
] = None,
dilation: typing.Optional[float] = None,
segmentation_classes: typing.Optional[typing.List[int]] = None,
)
Mask reference image. This encapsulates the mask reference image type.
Methods
MaskReferenceImage
MaskReferenceImage(
reference_id,
image: typing.Optional[
typing.Union[bytes, vertexai.vision_models.Image, str]
] = None,
mask_mode: typing.Optional[
typing.Literal[
"default", "user_provided", "background", "foreground", "semantic"
]
] = None,
dilation: typing.Optional[float] = None,
segmentation_classes: typing.Optional[typing.List[int]] = None,
)
Creates a MaskReferenceImage
object.
Parameters | |
---|---|
Name | Description |
image |
typing.Union[bytes, vertexai.vision_models.Image, str, NoneType]
Either Image object or Image file bytes. Image can be in PNG or JPEG format. |
mask_mode |
typing.Optional[typing.Literal['default', 'user_provided', 'background', 'foreground', 'semantic']]
Mask mode for the image. Can take the following values: * default: Default mask mode * user_provided: User provided mask * background: Background mask * foreground: Foreground mask * semantic: Semantic mask |
dilation |
typing.Optional[float]
Dilation percentage of the mask |
segmentation_classes |
typing.Optional[typing.List[int]]
List of class IDs for segmentation. Max of 5 IDs |