tfa.image.blend
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Blend image1 and image2 using factor.
tfa.image.blend(
image1: tfa.types.TensorLike,
image2: tfa.types.TensorLike,
factor: tfa.types.Number
) -> 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 shape (num_rows, num_columns, num_channels) (HWC), or (num_rows, num_columns) (HW), or (num_channels, num_rows, num_columns) (CHW). |
image2 | An image Tensor of shape (num_rows, num_columns, num_channels) (HWC), or (num_rows, num_columns) (HW), or (num_channels, num_rows, num_columns). |
factor | A floating point value or Tensor of type tf.float32 above 0.0. |
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Last updated 2023-05-25 UTC.
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