Converts a 3D array to a PIL Image instance.
Arguments
- x
Input data, in any form that can be converted to an array.
- data_format
Image data format, can be either
"channels_first"
or"channels_last"
. Defaults toNULL
, in which case the global settingconfig_image_data_format()
is used (unless you changed it, it defaults to"channels_last"
).- scale
Whether to rescale the image such that minimum and maximum values are 0 and 255 respectively. Defaults to
TRUE
.- dtype
Dtype to use.
NULL
means the global settingconfig_floatx()
is used (unless you changed it, it defaults to"float32"
). Defaults toNULL
.
Example
img <- array(runif(30000), dim = c(100, 100, 3))
pil_img <- image_from_array(img)
pil_img
See also
Other image utils: image_array_save()
image_load()
image_smart_resize()
image_to_array()
op_image_affine_transform()
op_image_crop()
op_image_extract_patches()
op_image_hsv_to_rgb()
op_image_map_coordinates()
op_image_pad()
op_image_resize()
op_image_rgb_to_grayscale()
op_image_rgb_to_hsv()
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_load()
image_smart_resize()
image_to_array()
layer_feature_space()
normalize()
pad_sequences()
set_random_seed()
split_dataset()
text_dataset_from_directory()
timeseries_dataset_from_array()
to_categorical()
zip_lists()