CODEWITHSUNDEEP
pythontensorflowmachine-learningkerasdeep-learning
Ron Shvarz
Ron Shvarz

Reputation: 35

TypeError: tuple indices must be integers or slices, not list - While loading a model Keras

In short, i have 2 trained models, one trained on 2 classes, the other on 3 classes. My code loads a model, loads an image, and predicts a classification result.

finetune_model = tf.keras.models.load_model(modelPath)
model = load_model(my_file)
img = image.load_img(img_path, target_size=(img_width, img_height))
x = image.img_to_array(img)
x = np.expand_dims(x, axis=0)
x = preprocess_input(x)
preds = model.predict(x)

The model file is of .h5 type. When loading the 2-class trained model, it works fine. When i try to load the 3-class trained model, i get the title error, Traceback is below :

File "C:/Users/x/PycharmProjects/y/Learning_python.py", line 23, in <module>
    dope = Prediction('Three_Classes','./1.JPEG')
  File "C:\Users\x\PycharmProjects\Car_Damage_Detection_Project\Predict.py", line 37, in Prediction
    model = load_model(my_file)
  File "C:\Users\x\Miniconda3\envs\y\lib\site-packages\keras\engine\saving.py", line 419, in load_model
    model = _deserialize_model(f, custom_objects, compile)
  File "C:\Users\RonShvartzburd\Miniconda3\envs\y\lib\site-packages\keras\engine\saving.py", line 225, in _deserialize_model
    model = model_from_config(model_config, custom_objects=custom_objects)
  File "C:\Users\RonShvartzburd\Miniconda3\envs\y\lib\site-packages\keras\engine\saving.py", line 458, in model_from_config
    return deserialize(config, custom_objects=custom_objects)
  File "C:\Users\RonShvartzburd\Miniconda3\envs\y\lib\site-packages\keras\layers\__init__.py", line 55, in deserialize
    printable_module_name='layer')
  File "C:\Users\x\Miniconda3\envs\y\lib\site-packages\keras\utils\generic_utils.py", line 145, in deserialize_keras_object
    list(custom_objects.items())))
  File "C:\Users\x\Miniconda3\envs\y\lib\site-packages\keras\engine\network.py", line 1032, in from_config
    process_node(layer, node_data)
  File "C:\Users\x\Miniconda3\envs\y\lib\site-packages\keras\engine\network.py", line 991, in process_node
    layer(unpack_singleton(input_tensors), **kwargs)
  File "C:\Users\x\Miniconda3\envs\y\lib\site-packages\keras\engine\base_layer.py", line 431, in __call__
    self.build(unpack_singleton(input_shapes))
  File "C:\Users\x\Miniconda3\envs\y\lib\site-packages\keras\layers\normalization.py", line 94, in build
    dim = input_shape[self.axis]
TypeError: tuple indices must be integers or slices, not list

What exactly is different between the two models? both were build and trained the same way, except the class definition. How can i go about with this issue? Thanks.

Link provided to the Git repository containing the file where the models were created, namely - modelTraining.py https://github.com/lepilmen/Car-Damage-Detection

Upvotes: 1

Views: 1419

Answers (2)

Ron Shvarz
Ron Shvarz

Reputation: 35

After conversing with @Geeocode , I retrained the model again with the same code, and the new model did not produce an error. Perhaps something happened to the previous model, and it messed up the input layer. He reproduced a new model with 3 images, 1 per class, and also couldn't recreate the problem. Meaning it's solved. Thanks for all the time spend helping me.

Upvotes: 0

Haimantika Mitra
Haimantika Mitra

Reputation: 119

Your inputs must be numpy ndarrays.

Upvotes: 2

Related Questions