Why am I getting this issue? I can import image module from kera.preprocessing. But cannot import image_dataset_from_directory. My TensorFlow version is 2.9.1, so I am not dealing with an old version, e.g. ImportError: cannot import name 'image_dataset_from_directory' from 'tensorflow.keras.preprocessing' (unknown location)
# make a prediction for a new image.
from keras.preprocessing.image import load_img
from keras.preprocessing.image import img_to_array
from keras.models import load_model
# load and prepare the image
def load_image(filename):
# load the image
img = load_img(filename, target_size=(224, 224))
# convert to array
img = img_to_array(img)
# reshape into a single sample with 3 channels
img = img.reshape(1, 224, 224, 3)
# center pixel data
img = img.astype('float32')
img = img - [123.68, 116.779, 103.939]
return img
# load an image and predict the class
def run_example():
# load the image
img = load_image('test.jpg')
# load model
model = load_model('final_model.h5')
# predict the class
result = model.predict(img)
print(result[0])
# entry point, run the example
run_example()
error
from keras.preprocessing.image import load_img
ImportError: cannot import name 'load_img' from 'keras.preprocessing.image'
keras.preprocessing API is deprecated in Tensorflow 2.9.1. Please use tf.keras.utils instead, to import load_img as follows:
from tensorflow.keras.utils import load_img
To load dataset from directories please use
tensorflow.keras.utils.image_dataset_from_directory. For more details, please refer to this link.
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