image_from_array {keras3} | R Documentation |
Converts a 3D array to a PIL Image instance.
Description
Converts a 3D array to a PIL Image instance.
Usage
image_from_array(x, data_format = NULL, scale = TRUE, dtype = NULL)
Arguments
x |
Input data, in any form that can be converted to an array. |
data_format |
Image data format, can be either |
scale |
Whether to rescale the image such that minimum and maximum values
are 0 and 255 respectively. Defaults to |
dtype |
Dtype to use. |
Value
A PIL Image instance.
Example
img <- array(runif(30000), dim = c(100, 100, 3)) pil_img <- image_from_array(img) pil_img
## <PIL.Image.Image image mode=RGB size=100x100>
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()