Combination of 2D CNN to make a classification.

I want to combine two independent 2D Convolutional neural networks (CNN) models to accept two different images as input data (model one accepts a different set of images and the second model accepts a different set of images) and make a classification (combining the features of the two sets of images) based on the images on a single output unit. The project is in Python.