Cannot predict the label for a single image with VGG19 in Keras

Question

I\'m using transfer learning method to use per-trained VGG19 model in Keras according to [this tutorial](https://towardsdatascience.com/keras-transfer-learning-for-beginners

Answer 1

decode_predictions is used for decoding predictions of a model according to the labels of classes in ImageNet dataset which has 1000 classes. However, your fine-tuned model has only 12 classes. Therefore, it does not make sense to use decode_predictions here. Surely, you must know what the labels for those 12 classes are. Therefore, just take the index of maximum score in the prediction and find its label:

# create a list containing the class labels
class_labels = ['class1', 'class2', 'class3', ...., 'class12']

# find the index of the class with maximum score
pred = np.argmax(class_labels, axis=-1)

# print the label of the class with maximum score
print(class_labels[pred[0]])