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

RandomShear layer

[source]

keras.layers.RandomShear(
    x_factor=0.0,
    y_factor=0.0,
    interpolation="bilinear",
    fill_mode="reflect",
    fill_value=0.0,
    data_format=None,
    seed=None,
    **kwargs
)

A preprocessing layer that randomly applies shear transformations to images.

This layer shears the input images along the x-axis and/or y-axis by a randomly selected factor within the specified range. The shear transformation is applied to each image independently in a batch. Empty regions created during the transformation are filled according to the fill_mode and fill_value parameters.

Arguments

• x_factor: A tuple of two floats. For each augmented image, a value is sampled from the provided range. If a float is passed, the range is interpreted as (0, x_factor). Values represent a percentage of the image to shear over. For example, 0.3 shears pixels up to 30% of the way across the image. All provided values should be positive.
• y_factor: A tuple of two floats. For each augmented image, a value is sampled from the provided range. If a float is passed, the range is interpreted as (0, y_factor). Values represent a percentage of the image to shear over. For example, 0.3 shears pixels up to 30% of the way across the image. All provided values should be positive.
• 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 representing the value to be filled outside the boundaries when fill_mode="constant".
• seed: Integer. Used to create a random seed.

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