Getting hands-on with the convert code

Like the rest of the chapters in this section, we’ll be going through the code line by line to talk about how it works and what it’s doing.

Initialization

Here we will initialize and prepare the code to run the convert process:

1. Like all Python code, we’ll start with the imports:

   import os
   from argparse import ArgumentParser
   import json_tricks
   import torch
   import cv2
   import numpy as np
   from tqdm import tqdm
   import face_alignment
   from face_alignment.detection.sfd import FaceDetector
   from face_alignment import FaceAlignment, LandmarksType
   from lib.bisenet import BiSeNet
   from lib.models import OriginalEncoder, OriginalDecoder

These libraries are all ones we’ve already seen in previous chapters. This is because the conversion process is not really doing anything too different from what we’ve done before. We’ll see that as we go through the code to covert the face back into the original images...