tfg.image.matting.reconstruct

Reconstruct the matte from the image using the linear coefficients.

tfg.image.matting.reconstruct(
    image: type_alias.TensorLike,
    coeff_mul: type_alias.TensorLike,
    coeff_add: type_alias.TensorLike,
    name: str = &#x27;matting_reconstruct'
) -> tf.Tensor

Reconstruct the matte from the image using the linear coefficients (a, b) returned by the linear_coefficients function.

Args
`image`	A tensor of shape `[B, H, W, C]` .
`coeff_mul`	A tensor of shape `[B, H, W, C]` representing the multiplicative part of the linear coefficients.
`coeff_add`	A tensor of shape `[B, H, W, 1]` representing the additive part of the linear coefficients.
`name`	A name for this op. Defaults to "matting_reconstruct".

Returns
A tensor of shape `[B, H, W, 1]` containing the mattes.

Raises
`ValueError`	If `image`, `coeff_mul`, or `coeff_add` are not of rank 4. If the last dimension of `coeff_add` is not 1. If the batch dimensions of `image`, `coeff_mul`, and `coeff_add` do not match.

tfg.image.matting.reconstruct

Args

Returns

Raises