A Python function to visualize the facade labels and the images of facades looks as follows:

def visualize_bw_image(img):
    """
    Visualize a black and white image
    """
    fig = plt.figure()
    ax = fig.add_subplot(1, 1, 1)
    ax.imshow(img, cmap='gray', interpolation='nearest')
    ax.axis("off")
    ax.set_title("Image")
    plt.show()

Use the preceding function to visualize the facade labels or the photos of facades, as follows:

visualize_bw_image(image)
visualize_bw_image(image)

An example of an image of the facade of a building is as follows:

The following image represents the architectural labels for the preceding facade image:

We will train a pix2pix network that is capable of generating an image of a facade from a facade label. Let's start working with the Keras implementations for the generator and the discriminator.