Putting CGAN to work on some examples

Now that the CGAN class is completed, let's go through some examples in order to provide you with fresh ideas on how to use this project. First of all, we will have to get everything ready for both downloading the necessary data and training our GAN. We start by importing the routine libraries:

import numpy as np
import urllib.request
import tarfile
import os
import zipfile
import gzip
import os
from glob import glob
from tqdm import tqdm

We then proceed by loading in the dataset and CGAN classes that we previously prepared:

from cGAN import Dataset, CGAN

The class TqdmUpTo is just a tqdm wrapper that enables the use of the progress display also for downloads. The class has been taken directly from the project's page at https://github.com/tqdm/tqdm:

class TqdmUpTo(tqdm):
    """
    Provides `update_to(n)` which uses `tqdm.update(delta_n)`.
    Inspired by https://github.com/pypa/twine/pull/242
    https://github.com/pypa/twine/commit/42e55e06
    """

 ...