tf.keras.utils.array_to_img
Converts a 3D NumPy array to a PIL Image instance.
tf.keras.utils.array_to_img(
x, data_format=None, scale=True, dtype=None
)
Used in the notebooks
Example:
from PIL import Image
img = np.random.random(size=(100, 100, 3))
pil_img = keras.utils.array_to_img(img)
| Args |
|---|
x | Input data, in any form that can be converted to a NumPy array. |
data_format | Image data format, can be either "channels_first" or "channels_last". Defaults to None, in which case the global setting keras.backend.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. None means the global setting keras.backend.floatx() is used (unless you changed it, it defaults to "float32"). Defaults to None. |
| Returns |
|---|
| A PIL Image instance. |