Saves an image stored as an array to a path or file object. — image_array_save • keras3

Saves an image stored as an array to a path or file object.

Usage

image_array_save(
  x,
  path,
  data_format = NULL,
  file_format = NULL,
  scale = TRUE,
  ...
)

Arguments

x: An array.
path: Path or file object.
data_format: Image data format, either "channels_first" or "channels_last".
file_format: Optional file format override. If omitted, the format to use is determined from the filename extension. If a file object was used instead of a filename, this parameter should always be used.
scale: Whether to rescale image values to be within [0, 255].
...: Additional keyword arguments passed to PIL.Image.save().

Value

Called primarily for side effects. The input x is returned, invisibly, to enable usage with the pipe.

See also

https://keras.io/api/data_loading/image#saveimg-function

Other image utils:
image_from_array()
image_load()
image_smart_resize()
image_to_array()
op_image_affine_transform()
op_image_crop()
op_image_extract_patches()
op_image_map_coordinates()
op_image_pad()
op_image_resize()
op_image_rgb_to_grayscale()

Other utils:
audio_dataset_from_directory()
clear_session()
config_disable_interactive_logging()
config_disable_traceback_filtering()
config_enable_interactive_logging()
config_enable_traceback_filtering()
config_is_interactive_logging_enabled()
config_is_traceback_filtering_enabled()
get_file()
get_source_inputs()
image_dataset_from_directory()
image_from_array()
image_load()
image_smart_resize()
image_to_array()
layer_feature_space()
normalize()
pack_x_y_sample_weight()
pad_sequences()
set_random_seed()
split_dataset()
text_dataset_from_directory()
timeseries_dataset_from_array()
to_categorical()
unpack_x_y_sample_weight()
zip_lists()