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Showing content from https://keras.io/api/layers/preprocessing_layers/image_augmentation/random_elastic_transform below:

RandomElasticTransform layer

[source]

keras.layers.RandomElasticTransform(
    factor=1.0,
    scale=1.0,
    interpolation="bilinear",
    fill_mode="reflect",
    fill_value=0.0,
    value_range=(0, 255),
    seed=None,
    data_format=None,
    **kwargs
)

A preprocessing layer that applies random elastic transformations.

This layer distorts input images by applying elastic deformations, simulating a physically realistic transformation. The magnitude of the distortion is controlled by the scale parameter, while the factor determines the probability of applying the transformation.

Arguments

• factor: A single float or a tuple of two floats. factor controls the probability of applying the transformation.
  • factor=0.0 ensures no erasing is applied.
  • factor=1.0 means erasing is always applied.
  • If a tuple (min, max) is provided, a probability value is sampled between min and max for each image.
  • If a single float is provided, a probability is sampled between 0.0 and the given float. Default is 1.0.
• scale: A float or a tuple of two floats defining the magnitude of the distortion applied.
  • If a tuple (min, max) is provided, a random scale value is sampled within this range.
  • If a single float is provided, a random scale value is sampled between 0.0 and the given float. Default is 1.0.
• interpolation: Interpolation mode. Supported values: "nearest", "bilinear".
• fill_mode: Points outside the boundaries of the input are filled according to the given mode. Available methods are "constant", "nearest", "wrap" and "reflect". Defaults to "constant".
  • "reflect": (d c b a | a b c d | d c b a) The input is extended by reflecting about the edge of the last pixel.
  • "constant": (k k k k | a b c d | k k k k) The input is extended by filling all values beyond the edge with the same constant value k specified by fill_value.
  • "wrap": (a b c d | a b c d | a b c d) The input is extended by wrapping around to the opposite edge.
  • "nearest": (a a a a | a b c d | d d d d) The input is extended by the nearest pixel. Note that when using torch backend, "reflect" is redirected to "mirror" (c d c b | a b c d | c b a b) because torch does not support "reflect". Note that torch backend does not support "wrap".
• fill_value: a float represents the value to be filled outside the boundaries when fill_mode="constant".
• value_range: the range of values the incoming images will have. Represented as a two-number tuple written [low, high]. This is typically either [0, 1] or [0, 255] depending on how your preprocessing pipeline is set up.
• seed: Integer. Used to create a random seed.

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