Converts a PIL Image instance to a Numpy array.
tf.keras.preprocessing.image.img_to_array(
img, data_format=None, dtype=None
)
Usage:
from PIL import Image
img_data = np.random.random(size=(100, 100, 3))
img = tf.keras.preprocessing.image.array_to_img(img_data)
array = tf.keras.preprocessing.image.img_to_array(img)
Arguments |
|---|
img
|
Input PIL Image instance.
|
data_format
|
Image data format, can be either "channels_first" or
"channels_last". Defaults to None, in which case the global setting
tf.keras.backend.image_data_format() is used (unless you changed it,
it defaults to "channels_last").
|
dtype
|
Dtype to use. Default to None, in which case the global setting
tf.keras.backend.floatx() is used (unless you changed it, it defaults
to "float32")
|
Returns |
|---|
|
A 3D Numpy array.
|
Raises |
|---|
ValueError
|
if invalid img or data_format is passed.
|
TensorFlow 1 version
View source on GitHub