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iso_noise

ISONoise

Bases: ImageOnlyAlbumentation

Apply camera sensor noise.

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
color_shift Tuple[float, float]

Variance range for color hue change. Measured as a fraction of 360 degree Hue angle in the HLS colorspace.

 (0.01, 0.05)
intensity Tuple[float, float]

Multiplicative factor that controls the strength of color and luminace noise.

 (0.1, 0.5)
Image types

uint8

Source code in fastestimator/fastestimator/op/numpyop/univariate/iso_noise.py 
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@traceable()
class ISONoise(ImageOnlyAlbumentation):
    """Apply camera sensor noise.

    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".
        color_shift: Variance range for color hue change. Measured as a fraction of 360 degree Hue angle in the HLS
            colorspace.
        intensity: Multiplicative factor that controls the strength of color and luminace noise.

    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,
                 color_shift: Tuple[float, float] = (0.01, 0.05),
                 intensity: Tuple[float, float] = (0.1, 0.5)):
        super().__init__(ISONoiseAlb(color_shift=color_shift, intensity=intensity, always_apply=True),
                         inputs=inputs,
                         outputs=outputs,
                         mode=mode,
                         ds_id=ds_id)