tf.keras.utils.img_to_array
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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.
|
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Last updated 2024-06-07 UTC.
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