Converts a PIL Image instance to a matrix. — image_to_array • keras3

Converts a PIL Image instance to a matrix.

Usage

image_to_array(img, data_format = NULL, dtype = NULL)

Arguments

img: Input PIL Image instance.
data_format: Image data format, can be either "channels_first" or "channels_last". Defaults to NULL, in which case the global setting config_image_data_format() is used (unless you changed it, it defaults to "channels_last").
dtype: Dtype to use. NULL means the global setting config_floatx() is used (unless you changed it, it defaults to "float32").

Value

A 3D array.

Example

image_path <- get_file(origin = "https://www.r-project.org/logo/Rlogo.png")
(img <- image_load(image_path))

## <PIL.Image.Image image mode=RGB size=724x561>

array <- image_to_array(img)
str(array)

##  num [1:561, 1:724, 1:3] 0 0 0 0 0 0 0 0 0 0 ...

See also

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

Other image utils:
image_array_save()
image_from_array()
image_load()
image_smart_resize()
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_array_save()
image_dataset_from_directory()
image_from_array()
image_load()
image_smart_resize()
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()