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

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

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_directory, image_load, image_to_array