HOW TO FIX IT? AttributeError: module 'keras.preprocessing.image' has no attribute 'l-CodePudding

    import numpy as np
    from keras.preprocessing import image
    import matplotlib.pyplot as plt
    import matplotlib.image as mpimg
    import matplotlib.pyplot as plt
    import matplotlib.image as mpimg
    
    
    %matplotlib inline
    
    
    
    path = './test/paper2.png'
    
    img = image.load_img(path, target_size=(150,150))
    imgplot = plt.imshow(img)
    x = image.img_to_array(img)
    img_test = np.expand_dims(x, axis=0)
    
    classes = model.predict(img_test, batch_size=10)
    
    print(classes)
    paper, rock, scissors = classes[0]
    
    if paper==1.:
        print('paper')
    elif rock==1.:
        print('rock')
    else:
        print('scissors')

output :

AttributeError: module 'keras.preprocessing.image' has no attribute 'load_img'

when I try to run. What does the error mean and how can I fix it? help guys :) I'm trying to learn I don't know anymore which one is wrong

CodePudding user response：

there is no 'load_img' https://github.com/keras-team/keras/blob/master/keras/preprocessing/image.py

I suppose you trying to use load_img of keras.utils.image_utils

CodePudding user response：

I'm facing the same problem today. You can try using tensorflow 2.8.0 to fix it or try tf.keras.utils.load_img instead of image.load_img.