tf.keras.utils.img_to_array | TensorFlow v2.16.1 (original) (raw)
tf.keras.utils.img_to_array
Converts a PIL Image instance to a NumPy array.
View aliases
Main aliases
tf.keras.preprocessing.image.img_to_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 |
|---|---|
| Using the SavedModel format | DeepDream Image classification |
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 settingkeras.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.