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posterize

Posterize

Bases: ImageOnlyAlbumentation

Reduce the number of bits for each color channel

Parameters:

Name Type Description Default
inputs Union[str, Iterable[str]]

Key(s) of images to be modified.

 required
outputs Union[str, Iterable[str]]

Key(s) into which to write the modified images.

 required
mode Union[None, str, Iterable[str]]

What mode(s) to execute this Op in. For example, "train", "eval", "test", or "infer". To execute regardless of mode, pass None. To execute in all modes except for a particular one, you can pass an argument like "!infer" or "!train".

 None
ds_id Union[None, str, Iterable[str]]

What dataset id(s) to execute this Op in. To execute regardless of ds_id, pass None. To execute in all ds_ids except for a particular one, you can pass an argument like "!ds1".

 None
num_bits Union[int, Tuple[int, int], Tuple[int, int, int], Tuple[Tuple[int, int], Tuple[int, int], Tuple[int, int]]]

Number of high bits. If num_bits is a single value, the range will be [num_bits, num_bits]. A triplet of ints will be interpreted as [r, g, b], and a triplet of pairs as [[r1, r1], [g1, g2], [b1, b2]]. Must be in the range [0, 8].

 4
Image types

uint8

Source code in fastestimator/fastestimator/op/numpyop/univariate/posterize.py 
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@traceable()
class Posterize(ImageOnlyAlbumentation):
    """Reduce the number of bits for each color channel

    Args:
        inputs: Key(s) of images to be modified.
        outputs: Key(s) into which to write the modified images.
        mode: What mode(s) to execute this Op in. For example, "train", "eval", "test", or "infer". To execute
            regardless of mode, pass None. To execute in all modes except for a particular one, you can pass an argument
            like "!infer" or "!train".
        ds_id: What dataset id(s) to execute this Op in. To execute regardless of ds_id, pass None. To execute in all
            ds_ids except for a particular one, you can pass an argument like "!ds1".
        num_bits: Number of high bits. If num_bits is a single value, the range will be [num_bits, num_bits]. A triplet
            of ints will be interpreted as [r, g, b], and a triplet of pairs as [[r1, r1], [g1, g2], [b1, b2]]. Must be
            in the range [0, 8].

    Image types:
        uint8
    """
    def __init__(self,
                 inputs: Union[str, Iterable[str]],
                 outputs: Union[str, Iterable[str]],
                 mode: Union[None, str, Iterable[str]] = None,
                 ds_id: Union[None, str, Iterable[str]] = None,
                 num_bits: Union[int,
                                 Tuple[int, int],
                                 Tuple[int, int, int],
                                 Tuple[Tuple[int, int], Tuple[int, int], Tuple[int, int]]] = 4):
        super().__init__(PosterizeAlb(num_bits=num_bits, always_apply=True),
                         inputs=inputs,
                         outputs=outputs,
                         mode=mode,
                         ds_id=ds_id)