Generative Adversarial Networks Projects

Extracting the dataset

After downloading the dataset, extract the files in the data folder manually, or execute the following commands to extract the files:

# Move to data directorycd data# Extract wiki_crop.tartar -xvf wiki_crop.tar

The wiki_crop.tar file contains 62,328 images and a wiki.mat file that holds all the labels. The scipy.io library has a method called loadmat, which is a really handy method to load .mat files in Python. Use the following code to load extracted .mat files:

def load_data(wiki_dir, dataset='wiki'):    # Load the wiki.mat file    meta = loadmat(os.path.join(wiki_dir, "{}.mat".format(dataset)))    # Load the list of all files    full_path = meta[dataset][0, 0]["full_path"][0]    # List of Matlab serial date numbers    dob = meta[dataset][ ...