Warning: This project is deprecated. TensorFlow Addons has stopped development, The project will only be providing minimal maintenance releases until May 2024. See the full announcement here or on github.


Perform mean filtering on image(s).

Used in the notebooks

Used in the tutorials

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).

2-D, 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.