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.
NULLmeans 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_imgSee 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_gaussian_blur() op_image_hsv_to_rgb() op_image_map_coordinates() op_image_pad() op_image_perspective_transform() 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()