Code for face swapping method preprocessing on image-to-image, video frames, and realtime camera.

This app is written by Python3 and uses OpenCV, and MediaPipe Face Mesh and image blending to swap the face of a person in destination image/video or seen by camera with a face of a person in a provided target image/video.

Face swapping has become a popular application in recent years, allowing users to swap their faces with others in images or videos. Using the Mediapipe Face Mesh, a facial landmark detection model, our application offers a seamless and realistic face swapping experience.

By incorporating 3D facial angle estimation, the task of face swapping has become even more accurate and precise. With this advanced technology, we are able to map and manipulate facial features in three-dimensional space, resulting in a more realistic and seamless face swapping experience, providing an entertaining and engaging experience for users.

To start the program you will have to run a Python file. You need to have Python3 and some additional libraries installed (Numpy, OpenCV-Python, Glob).

You also have to install Mediapipe pakages from Google: https://google.github.io/mediapipe/getting_started/python.html

Mediapipe can be installed with the following command:

pip install mediapipe

Firstly, change the path to your own destination and target image/video in **_Face_Swapping.py source code file.

For running the applications, run the following commands:

• Image swapping:

python Image_Face_Swapping.py

• Video swapping:

python Video_Face_Swapping.py

• Realtime swapping:

python Realtime_Face_Swapping.py

• Face Swapping with OpenCV
• MediaPipe Face Mesh