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

RandomPerspective layer

[source]

keras.layers.RandomPerspective(
    factor=1.0,
    scale=1.0,
    interpolation="bilinear",
    fill_value=0.0,
    seed=None,
    data_format=None,
    **kwargs
)

A preprocessing layer that applies random perspective transformations.

This layer distorts the perspective of input images by shifting their corner points, simulating a 3D-like transformation. The amount of distortion is controlled by the factor and scale parameters.

Arguments

• factor: A float or a tuple of two floats. Represents the probability of applying the perspective transformation to each image in the batch.
  • factor=0.0 ensures no transformation is applied.
  • factor=1.0 means the transformation is always applied.
  • If a tuple (min, max) is provided, a probability is randomly sampled between min and max for each image.
  • If a single float is given, the probability is sampled between 0.0 and the provided float. Default is 1.0.
• scale: A float defining the relative amount of perspective shift. Determines how much the image corners are displaced, affecting the intensity of the perspective effect.
• interpolation: Interpolation mode. Supported values: "nearest", "bilinear".
• fill_value: a float represents the value to be filled outside the boundaries when fill_mode="constant".
• seed: Integer. Used to create a random seed.

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