tf.keras.preprocessing.image.array_to_img
Converts a 3D Numpy array to a PIL Image instance.
tf.keras.preprocessing.image.array_to_img(
x, data_format=None, scale=True, dtype=None
)
Usage:
from PIL import Image
img = np.random.random(size=(100, 100, 3))
pil_img = tf.keras.preprocessing.image.array_to_img(img)
| Arguments |
|---|
x | Input Numpy array. |
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"). |
scale | Whether to rescale image values to be within [0, 255]. Defaults to True. |
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 PIL Image instance. |
| Raises |
|---|
ImportError | if PIL is not available. |
ValueError | if invalid x or data_format is passed. |