CODEWITHSUNDEEP
pythontensorflowkerasgoogle-colaboratoryresnet
Mainland
Mainland

Reputation: 4564

google colab tensorflow keras model ran yesterday perfectly but failing today

I am in full and bad surprise. Same program everything is perfect. I just slept and opened the Google colab today to run the program. This is my first ever deep learning program. It ran perfectly yesterday. But when I run today, it is giving a weird error. Need help. Why it is giving such error? How to solve it? Google colab screenshot:

enter image description here

Code:

  #Step3: test_img_path: Location of the image we want the model to predict
  test_img = image.load_img(test_img_path,target_size=(224,224))
  #Step4: Deep learning models expect a batch of images represented by array
  # At this stage we will have a processed image of size 224x224x3. 
  # Convert it to a batch of images denoted by nx224x224x3 where n denotes total images
  # In this case, n=1
  test_img_array = image.img_to_array(test_img)
  # Convert the array to a batch
  test_img_batch = np.expand_dims(test_img_array,axis=0)  
  #Step5: At the data level, an original image data is stored in the in terms of the pixels. 
  # Now, normalizing the image
  nor_testimg = preprocess_input(test_img_batch)  
  #Step6: Import the model and input our test image
  # Model here means, it is already trained by someone else and I don't have to do it again
  # Moreover, they made their hardwork or trained model freely available to every on on the keras, we just download it
  model = tf.keras.applications.resnet50.ResNet50()  
  #Step7: Lets see how and what the model would predict
  predict_testimg = model.predict(nor_testimg)
  # Decode the predictions
  print(decode_predictions(predict_testimg,top=3)[0])

In the above code, tf.keras.applications.resnet50.ResNet50() is the one causing the problem when I run it today. The same program ran successfully yesterday. Now, if I remove end brackets tf.keras.applications.resnet50.ResNet50, it runs perfectly but raised an error in the next line of the code.

Upvotes: 0

Views: 245

Answers (1)

Arunbh Yashaswi
Arunbh Yashaswi

Reputation: 1205

The issue is not with you and it lies in Keras as its trying to decode a string with utf 8. If I can get some more part of it might be able to help then

Upvotes: 1

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