wandb.data_types.Image

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Wandb class for images.

Image(
    data_or_path: "ImageDataOrPathType",
    mode: Optional[str] = None,
    caption: Optional[str] = None,
    grouping: Optional[str] = None,
    classes: Optional[Union['Classes', Sequence[dict]]] = None,
    boxes: Optional[Union[Dict[str, 'BoundingBoxes2D'], Dict[str, dict]]] = None,
    masks: Optional[Union[Dict[str, 'ImageMask'], Dict[str, dict]]] = None
) -> None

Arguments
data_or_path	(numpy array, string, io) Accepts numpy array of image data, or a PIL image. The class attempts to infer the data format and converts it.
mode	(string) The PIL mode for an image. Most common are "L", "RGB", "RGBA". Full explanation at https://pillow.readthedocs.io/en/4.2.x/handbook/concepts.html#concept-modes.
caption	(string) Label for display of image.

Methods

all_boxes

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@classmethod
all_boxes(
    images: Sequence['Image'],
    run: "LocalRun",
    run_key: str,
    step: Union[int, str]
) -> Union[List[Optional[dict]], bool]

all_captions

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@classmethod
all_captions(
    images: Sequence['Media']
) -> Union[bool, Sequence[Optional[str]]]

all_masks

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@classmethod
all_masks(
    images: Sequence['Image'],
    run: "LocalRun",
    run_key: str,
    step: Union[int, str]
) -> Union[List[Optional[dict]], bool]

guess_mode

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guess_mode(
    data: "np.ndarray"
) -> str

Guess what type of image the np.array is representing

to_uint8

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@classmethod
to_uint8(
    data: "np.ndarray"
) -> "np.ndarray"

Converts floating point image on the range [0,1] and integer images on the range [0,255] to uint8, clipping if necessary.

Class Variables
MAX_DIMENSION	65500
MAX_ITEMS	108