keras: flow_images_from_data – R documentation

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keras

flow_images_from_data

Generates batches of augmented/normalized data from image data and labels

Description

Generates batches of augmented/normalized data from image data and labels

Usage

flow_images_from_data(
  x,
  y = NULL,
  generator = image_data_generator(),
  batch_size = 32,
  shuffle = TRUE,
  sample_weight = NULL,
  seed = NULL,
  save_to_dir = NULL,
  save_prefix = "",
  save_format = "png",
  subset = NULL
)

Arguments

`x`	data. Should have rank 4. In case of grayscale data, the channels axis should have value 1, and in case of RGB data, it should have value 3.
`y`	labels (can be `NULL` if no labels are required)
`generator`	Image data generator to use for augmenting/normalizing image data.
`batch_size`	int (default: `32`).
`shuffle`	boolean (defaut: `TRUE`).
`sample_weight`	Sample weights.
`seed`	int (default: `NULL`).
`save_to_dir`	`NULL` or str (default: `NULL`). This allows you to optionally specify a directory to which to save the augmented pictures being generated (useful for visualizing what you are doing).
`save_prefix`	str (default: ”). Prefix to use for filenames of saved pictures (only relevant if `save_to_dir` is set).
`save_format`	one of "png", "jpeg" (only relevant if save_to_dir is set). Default: "png".
`subset`	Subset of data (`"training"` or `"validation"`) if `validation_split` is set in `image_data_generator()`.

Details

Yields batches indefinitely, in an infinite loop.

Yields

(x, y) where x is an array of image data and y is a array of corresponding labels. The generator loops indefinitely.