tfm.vision.augment.blend

Blend image1 and image2 using 'factor'.

tfm.vision.augment.blend(
    image1: tf.Tensor, image2: tf.Tensor, factor: float
) -> tf.Tensor

Factor can be above 0.0. A value of 0.0 means only image1 is used. A value of 1.0 means only image2 is used. A value between 0.0 and 1.0 means we linearly interpolate the pixel values between the two images. A value greater than 1.0 "extrapolates" the difference between the two pixel values, and we clip the results to values between 0 and 255.

Args
`image1`	An image Tensor of type uint8.
`image2`	An image Tensor of type uint8.
`factor`	A floating point value above 0.0.

Returns
A blended image Tensor of type uint8.

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Last updated 2024-02-02 UTC.

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tfm.vision.augment.blend

Args

Returns