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