tf.keras.preprocessing.image.img_to_array
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. |