Perform mean filtering on image(s).
img_mean_filter2d(
image,
filter_shape = list(3, 3),
padding = "REFLECT",
constant_values = 0,
name = NULL
)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].
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.
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.
A scalar, the pad value to use in "CONSTANT" padding mode.
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.