flow_images_from_data: Generates batches of augmented/normalized data from image...

In keras: R Interface to 'Keras'

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.

See Also

Other image preprocessing: fit_image_data_generator(), flow_images_from_dataframe(), flow_images_from_directory(), image_load(), image_to_array()

keras documentation built on May 29, 2024, 3:20 a.m.