The error message “module ‘keras.preprocessing.image’ has no attribute ‘load_img'” occurs when the load_img function cannot be found in the keras.preprocessing.image module. This could be due to a version mismatch or a typo in the function name.
One possible cause for this error is that you are using an outdated version of Keras, where the load_img function might not be available. In older versions of Keras, the load_img function was present in the ‘keras.preprocessing.image’ module, but it has been replaced with the ‘tensorflow.keras.preprocessing.image’ module in recent versions. So, if you are using an older version of Keras, you will need to upgrade to a newer version to access the load_img function.
Here’s an example of how to use the load_img function from the ‘tensorflow.keras.preprocessing.image’ module:
from tensorflow.keras.preprocessing.image import load_img
img = load_img('path/to/image.jpg')
img_array = img.toarray()
In this example, we import the load_img function from the ‘tensorflow.keras.preprocessing.image’ module and use it to load an image file named ‘image.jpg’ located at ‘path/to/image.jpg’. The loaded image is then converted to an array using the toarray() method.
Make sure you have the appropriate version of Keras and TensorFlow installed. You can check the version of TensorFlow using the following code:
import tensorflow as tf
print(tf.__version__)
If the load_img function is still not available after upgrading, make sure there are no typos in the function name and check the documentation for the correct function name and usage.