CODEWITHSUNDEEP
pythonpython-3.xkerasjupyter-notebookclassification
Steve
Steve

Reputation: 505

NameError: name 'image' is not defined

I am getting the error in the post title when I attempt to run a pretrained MobileNet classification. The image I am using to run the script is located in my 'MobileNet-inference-images/American_Cam.jpg directory.

Any help or advice would be appreciated.

Here is my script, my environment, the error traceback, and what have investigated so far.

import numpy as np
import keras
from keras import backend as K
from keras.layers.core import Dense
from keras.optimizers import Adam
from keras.metrics import categorical_crossentropy
from keras.preprocessing.image import ImageDataGenerator
from keras.models import Model
from keras.applications import imagenet_utils
from sklearn.metrics import confusion_matrix
import itertools
import matplotlib.pyplot as plt
%matplotlib inline

mobile =keras.applications.mobilenet.MobileNet()

def prepare_image(file):
    img_path = 'MobileNet-inference-images/'
    img = image.load_img(img_path + file, target_size=(224, 224))
    img_array = image.img_to_array(img)
    img_array_expanded_dims = np.expand_dims(img_array, axis=0)
    return 
    keras.applications.mobilenet.preprocess_imput(img_array_expanded_dims)

preprocessed_image = prepare_image('MobileNet-inference-images/American_Cam.jpg')
predictions = mobile.predict(preprocessed_image)
results = imagenet_utils.decode_predictions(predictions)
results

I am running python 3.6.1 in an Anaconda "custom" environment (64 bit) in a Juypter notebook.

The traceback is 

---------------------------------------------------------------------------
NameError                                 Traceback (most recent call last)
<ipython-input-40-90b9684f2691> in <module>()
----> 1 preprocessed_image = prepare_image('MobileNet-inference-images/American_Cam.jpg')
      2 predictions = mobile.predict(preprocessed_image)
      3 results = imagenet_utils.decode_predictions(predictions)
      4 results

<ipython-input-32-c204346d1e63> in prepare_image(file)
      1 def prepare_image(file):
      2     img_path = 'MobileNet-inference-images/'
----> 3     img = image.load_img(img_path + file, target_size=(224, 224))
      4     img_array = image.img_to_array(img)
      5     img_array_expanded_dims = np.expand_dims(img_array, axis=0)

NameError: name 'image' is not defined

I have seen an error of the same name here, but that appears to be a separate issue(as I am enclosing my image path). Other posts have suggested an issue with PIL. But if I test is PIL is operating with a simple script(such as below), I don't get a PIL error.

from PIL import Image
im = Image.open('MobileNet-inference-images/American_Cam.jpg')
im.show()

Upvotes: 5

Views: 117007

Answers (1)

Druta Ruslan
Druta Ruslan

Reputation: 7412

from image you import only ImageDataGenerator but you also need other attributes, better change it

from keras.preprocessing.image import ImageDataGenerator

to 

from keras.preprocessing import image
# and use 
# image.ImageDataGenerator()
# image.load_img()

Upvotes: 10

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