如何解决？ AttributeError: 模块 'keras.preprocessing.image' 没有属性 'load_img'

Question

    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

Answer 1

Replace:

from keras.preprocessing import image

for:

import keras.utils as image

Answer 2

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 .

Answer 3

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

Answer 4

use keras.utils.load_img

import keras
import tensorflow as tf

image = keras.utils.load_img('path_to_image', target_size=(img_size, img_size))

Answer 5

I just added 'tensorflow.' infront of the keras like 'tensorflow.keras.' and it worked.

Answer 6

I also face the same error. I used from tensorflow.keras.utils import load_img, img_to_array and it work for me.

Answer 7

first import

import tensorflow.compat.v2 as tf

then

tf.keras.preprocessing.image.load_img

Answer 8

Try this out

change this

from keras.preprocessing import image
test_image = image.load_img('$PATH', target_size = (64, 64))
test_image =  image.img_to_array(test_image)

To this

from keras.utils import load_img, img_to_array
test_image = load_img('$PATH', target_size = (64, 64))
test_image = img_to_array(test_image)

reff:- https://keras.io/api/data_loading/image/

Source:- https://github.com/keras-team/keras/blob/v2.10.0/keras/utils/image_utils.py#L364

Answer 9

I too had this and fixed

changes in import

1. " from keras.utils import load_img, img_to_array instead " of " from keras.preprocessing import image "

and change

1. " img = image.load_img(path, target_size=(150,150)) " to "l oad_img(path, target_size=(150,150)) "

2. " x = image.img_to_array(img) " to " x = img_to_array(img) "

Answer 10

The "AttributeError: module 'keras.preprocessing.image' has no attribute 'load_img'" occurs because the keras preprocessing API has been deprecated. To solve the error, import the load_img() function from tensorflow.keras.utils.load_img.

Answer 11

I too faced the same problem. I used from tensorflow.keras.utils import load_img, img_to_array . Problem got solved.