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Apply cutout (https://arxiv.org/abs/1708.04552) to images.
TensorLike= (0, 0), constant_values:
Number= 0, data_format: str = 'channels_last' ) -> tf.Tensor
This operation applies a (mask_height x mask_width) mask of zeros to
a location within
img specified by the offset. The pixel values filled in will be of the
replace. The located 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), (batch_size, channels, height, width)(NCHW).
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.
offset: A tuple of (height, width) or (batch_size, 2)
constant_values: What pixel value to fill in the images in the area that has the cutout mask applied to it.
data_format: A string, one of
channels_first. The ordering of the dimensions in the inputs.
channels_lastcorresponds to inputs with shape
(batch_size, ..., channels)while
channels_firstcorresponds to inputs with shape
(batch_size, channels, ...).
An image Tensor.
InvalidArgumentError: if mask_size can't be divisible by 2.