Classifying images using trained model

[kiton]

Hello!

I have followed this TensorFlow tutorial to classify images using transfer learning approach. Using almost 16,000 classified images (with about 40/60 split of 1/0) I as able to achieve 95% accuracy on the hold out testing set. I then saved this trained model using pickle.

Now I would like to use this trained model to classify new images. But I am having difficulty understanding how to do so. I am seeking you advice on how to:

(1) Appropriately load the new images, and
(2) Pass those images for classification.

Thanks a lot for your help.