python - TypeError: __array__() takes 1 positional argument but 2 were given (Image classification Keras)

1
votes

How to troubleshoot this? I've tried setting dtype=None in the image.img_to_array method. Any help would be much appreciated!

import tensorflow as tf
from tensorflow import keras
from tensorflow.keras import layers
import matplotlib.pyplot as plt
from keras.preprocessing import image

image_size = (180, 180)
batch_size = 32


model = keras.models.load_model('best_model.h5')

img = keras.preprocessing.image.load_img(
    "GarnetCreek_7-15-2019.jpeg", target_size=image_size
)

img_array = image.img_to_array(img)
img_array = tf.expand_dims(img_array, 0)  # Create batch axis

predictions = model.predict(img_array)
score = predictions[0]

This raises the following error:

Traceback (most recent call last):
img_array = image.img_to_array(img, dtype=None)
return image.img_to_array(img, data_format=data_format, **kwargs)
x = np.asarray(img, dtype=dtype)
    return array(a, dtype, copy=False, order=order)
TypeError: __array__() takes 1 positional argument but 2 were given

Has anyone seen this before? Many thanks!

1
pythonimage-processingkerasclassification
What is the type and shape of img? Please tell me the version of PIL. import PIL then PIL.__version__. And try to replace from keras.preprocessing import image by from tensorflow.keras.preprocessing import image - Kaveh
Image shape is (686, 1140, 3). PIL version is 8.3.0. I did try to replace the import as suggested but the issue persisted. Thank you! - NominalSystems
Downgrade pillow from 8.3.0 to 8.2 sometimes works. Try it. Downgrade PIL to 8.2.0. - Kaveh
Wow that worked! Can't thank you enough - NominalSystems

1 Answers

1
votes

This error sometimes is due to a bug in Pillow 8.3.0 as it is here. (You may not use import PIL directly in your code, however some libraries such as tf.keras.preprocessing.image.load_img use PIL internally)

So, downgrading from PIL 8.3.0 to 8.2.0 may work.

Check PIL version:

import PIL
print(PIL.__version__)

If it is 8.3.0, then you may downgrade to 8.2.0:

!pip install pillow==8.2.0