How to Fix It? Attributeerror: Module 'Keras. Preprocessing. Image' Has No Attribute 'Load_Img'

Replace:

from keras.preprocessing import image

for:

import keras.utils as image

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.

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 "load_img(path, target_size=(150,150))"

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

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

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 :-

Source :-

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.

Use this first

from keras.utils import load_img, img_to_array

Then use load image like this

train_image = []

# ...

# Assume `train` is each batch X output in the form of dictionary
for i in tqdm(range(train.shape[0])):
    img = load_img('path to folder' + train['Name'][i], target_size=(400, 400, 3))
    img = img_to_array(img)
    img = img/255
    train_image.append(img)

X = np.array(train_image)

there is no 'load_img'

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

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))

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

first import

import tensorflow.compat.v2 as tf

then

tf.keras.preprocessing.image.load_img

So I had a similar error

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

and I had this import statement first

from keras.preprocessing import image

then I added utils so that

from keras.preprocessing import image
import keras.utils as image

and then the error disappeared.

I got the same error.

To resolve this error, you can try importing the load_img function from the tensorflow.keras.preprocessing.image module instead of the keras.preprocessing.image module. You can modify your code to include the following import statement :

from tensorflow.keras.preprocessing import image

it worked for me

I had a similar error and added:

import keras.utils as image

and its worked