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.


[Package tfaddons version 0.10.0 Index]