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.
|
View source on GitHub