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.


Apply cutout to images with random offset.

This operation applies a (mask_height x mask_width) mask of zeros to a random location within images. The pixel values filled in will be of the value constant_values. The location where the mask will be applied is randomly chosen uniformly over the whole images.

images A tensor of shape (batch_size, height, width, channels) (NHWC).
mask_size Specifies how big the zero mask that will be generated is that is applied to the images. The mask will be of size (mask_height x mask_width). Note: mask_size should be divisible by 2.
constant_values What pixel value to fill in the images in the area that has the cutout mask applied to it.
seed A Python integer. Used in combination with tf.random.set_seed to create a reproducible sequence of tensors across multiple calls.

A Tensor of the same shape and dtype as images.

InvalidArgumentError if mask_size can't be divisible by 2.