AttributeError: 'NoneType' object has no attribute 'image_data_format' keras

I am trying for testing purpose to classify real time objects using a pretrained vgg-19 model, also I have enabled multithreading in the code. While I run the below code, I retrieve error. I am unable to figure it out I tried different solutions but I am unable to fix it.

  from keras.applications.vgg19 import decode_predictions
  from keras_applications.vgg19 import VGG19, preprocess_input
  label = ''
  frame = None
  class MyThread(threading.Thread):
  def __init__(self):
  def run(self):
     global label
     print("[INFO] loading network...")
     self.model = VGG19(weights="imagenet")
     while (~(frame is None)):
        (inID, label) = self.predict(frame)
  def predict(self, frame):
    image = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB).astype(np.float32)
    image = image.transpose((2, 0, 1))
    image = image.reshape((1,) + image.shape)
    image = preprocess_input(image)
    preds = self.model.predict(image)
    return decode_predictions(preds)[0]
 cap = cv2.VideoCapture(0)
 if (cap.isOpened()):
   print("Camera OK")
keras_thread = MyThread()
while (True):
 ret, original =
 frame = cv2.resize(original, (224, 224))
 cv2.putText(original, "Label: {}".format(label), (10, 30), cv2.FONT_HERSHEY_SIMPLEX, 0.9, (0, 255, 0), 2)
 cv2.imshow("Classification", original)
 if (cv2.waitKey(1) & 0xFF == ord('q')):
frame = None

Below is my error, I retrieve while running the code

     File "C:\miniconda3\envs\tensorflow\lib\", line 916, in _bootstrap_inner
   File "C:/Users/", line 17, in run
      self.model = VGG16(weights=None)
   File "C:\miniconda3\envs\tensorflow\lib\site-packages\keras_applications\", line 97, in VGG16
   AttributeError: 'NoneType' object has no attribute 'image_data_format'
   Process finished with exit code -1

Thank you, your help is highly appreciated.

1 answer

  • answered 2020-10-29 14:35 Mina Abd El-Massih

    According to this you need to change this line:

    from keras_applications.vgg19 import VGG19, preprocess_input


    from keras.applications.vgg19 import VGG19, preprocess_input