wandb.data_types.Image

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Wandb class for images.
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Image(
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    data_or_path: "ImageDataOrPathType",
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    mode: Optional[str] = None,
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    caption: Optional[str] = None,
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    grouping: Optional[str] = None,
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    classes: Optional[Union['Classes', Sequence[dict]]] = None,
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    boxes: Optional[Union[Dict[str, 'BoundingBoxes2D'], Dict[str, dict]]] = None,
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    masks: Optional[Union[Dict[str, 'ImageMask'], Dict[str, dict]]] = None
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) -> None
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Arguments
Text
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
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all_boxes(
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    images: Sequence['Image'],
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    run: "LocalRun",
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    run_key: str,
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    step: Union[int, str]
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) -> Union[List[Optional[dict]], bool]
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all_captions
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@classmethod
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all_captions(
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    images: Sequence['Media']
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) -> Union[bool, Sequence[Optional[str]]]
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all_masks
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@classmethod
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all_masks(
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    images: Sequence['Image'],
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    run: "LocalRun",
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    run_key: str,
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    step: Union[int, str]
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) -> Union[List[Optional[dict]], bool]
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guess_mode
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guess_mode(
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    data: "np.ndarray"
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) -> str
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Guess what type of image the np.array is representing
to_uint8
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@classmethod
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to_uint8(
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    data: "np.ndarray"
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) -> "np.ndarray"
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Converts floating point image on the range [0,1] and integer images on the range [0,255] to uint8, clipping if necessary.
Class Variables
Text
MAX_DIMENSION
65500
MAX_ITEMS
108

wandb.data_types.Html

wandb.data_types.Molecule

Last modified 14h ago

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Contents

Methods

`all_boxes`

`all_captions`

`all_masks`

`guess_mode`

`to_uint8`