tfg.image.pyramid.split

Generates the different levels of the pyramid.

tfg.image.pyramid.split(
    image: type_alias.TensorLike,
    num_levels: int,
    name: str = 'pyramid_split'
) -> List[tf.Tensor]

Args
`image`	A tensor of shape `[B, H, W, C]`, where `B` is the batch size, `H` the height of the image, `W` the width of the image, and `C` the number of channels of the image.
`num_levels`	The number of levels to generate.
`name`	A name for this op that defaults to "pyramid_split".

Returns
A list containing `num_levels` tensors of shape `[B, H_i, W_i, C]`, where `H_i` and `W_i` are the height and width of the image for the level i.

Raises
`ValueError`	If the shape of `image` is not supported.

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Last updated 2022-10-28 UTC.

Args