tf.keras.utils.img_to_array
Converts a PIL Image instance to a NumPy array.
tf.keras.utils.img_to_array(
img, data_format=None, dtype=None
)
Used in the notebooks
| Used in the guide | Used in the tutorials |
| | |
Example:
from PIL import Image
img_data = np.random.random(size=(100, 100, 3))
img = keras.utils.array_to_img(img_data)
array = keras.utils.image.img_to_array(img)
| Args |
|---|
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 keras.backend.image_data_format() is used (unless you changed it, it defaults to "channels_last"). |
dtype | Dtype to use. None means the global setting keras.backend.floatx() is used (unless you changed it, it defaults to "float32"). |
| Returns |
|---|
| A 3D NumPy array. |