Generates the different levels of the pyramid (downsampling).
tfg.image.pyramid.downsample(
image: type_alias.TensorLike,
num_levels: int,
name: str = 'pyramid_downsample'
) -> 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_downsample".
|
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 downsampled image for the
level i.
|
Raises |
ValueError
|
If the shape of image is not supported.
|