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.

Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.

Last updated 2024-02-02 UTC.

tfm.vision.augment.blend

Args

Returns