Machine Learning for Cybersecurity Cookbook by Emmanuel Tsukerman

Author:Emmanuel Tsukerman
Language: eng
Format: epub
Tags: COM043050 - COMPUTERS / Security / Networking, COM004000 - COMPUTERS / Intelligence (AI) and Semantics, COM025000 - COMPUTERS / Expert Systems
Publisher: Packt Publishing
Published: 2019-11-22T13:33:43+00:00

In the following steps, we provide a recipe for replacing the face of one individual in an image with that of another. The code is structured in five parts: Deepfake.ipynb (main), the deepfake_config configuration file, deepfake_face_detection, deepfake_face_points_detection, and deepfake_face_swap. Also, a models folder is included.

The following code can be found in Deepfake.ipynb:

Import opencv for image operations and the methods needed to swap faces from the associated code:

import os

import cv2

import numpy as np

from deepfake_face_detection import select_face

from deepfake_face_swap import (

warp_image_2d,

warp_image_3d,

mask_from_points,

apply_mask,

correct_colours,

transformation_from_points,

ProcessFace,

)

Specify the image containing the face we wish to use in content_image and the image where we want the face to be transferred to in target_image. Finally, specify where you'd like the result created:

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