| 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()