img_random_cutout {tfaddons} | R Documentation |
Random cutout
Description
Apply cutout (https://arxiv.org/abs/1708.04552) to images.
Usage
img_random_cutout(
images,
mask_size,
constant_values = 0,
seed = NULL,
data_format = "channels_last"
)
Arguments
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. |
constant_values |
What pixel value to fill in the images in the area that has the cutout mask applied to it. |
seed |
An integer. Used in combination with 'tf$random$set_seed' to create a reproducible sequence of tensors across multiple calls. |
data_format |
A string, one of 'channels_last' (default) or 'channels_first'. The ordering of the dimensions in the inputs. 'channels_last' corresponds to inputs with shape '(batch_size, ..., channels)' while 'channels_first' corresponds to inputs with shape '(batch_size, channels, ...)'. |
Details
This operation applies a (mask_height x mask_width) mask of zeros to a random location within 'img'. The pixel values filled in will be of the value 'replace'. The located where the mask will be applied is randomly chosen uniformly over the whole images.
Value
An image Tensor.
Raises
InvalidArgumentError: if mask_size can't be divisible by 2.