img_mean_filter2d: Mean filter2d
In tfaddons: Interface to 'TensorFlow SIG Addons'

Description Usage Arguments Value Raises

Perform mean filtering on image(s).

img_mean_filter2d(
  image,
  filter_shape = list(3, 3),
  padding = "REFLECT",
  constant_values = 0,
  name = NULL
)

`image`	Either a 2-D Tensor of shape [height, width], a 3-D Tensor of shape [height, width, channels], or a 4-D Tensor of shape [batch_size, height, width, channels].
`filter_shape`	An integer or tuple/list of 2 integers, specifying the height and width of the 2-D mean filter. Can be a single integer to specify the same value for all spatial dimensions.
`padding`	A string, one of "REFLECT", "CONSTANT", or "SYMMETRIC". The type of padding algorithm to use, which is compatible with mode argument in tf.pad. For more details, please refer to https://www.tensorflow.org/api_docs/python/tf/pad.
`constant_values`	A scalar, the pad value to use in "CONSTANT" padding mode.
`name`	A name for this operation (optional).

3-D or 4-D 'Tensor' of the same dtype as input.

ValueError: If 'image' is not 2, 3 or 4-dimensional, if 'padding' is other than "REFLECT", "CONSTANT" or "SYMMETRIC", or if 'filter_shape' is invalid.

tfaddons documentation built on July 2, 2020, 2:12 a.m.