FaceSwap

Instructions to run FaceSwap using Traditional approach (triangulation & Thin Plate Spline):

1. Set input1 and input 2 as the required source and destination paths in Wrapper.py main. Note:
   • If the two inputs are the same video, set input1 as video path and input2 as None
   • If one input is a video and the other an image, set input1 as video path and input2 as image path
2. Set method as "TRI" for triangulation or "TPS" for Thin Plate Spline algorithms respectively.
3. Run Wrapper.py using python3 Wrapper.py

Instructions to run PRNet:

1. Download the model weight from https://drive.google.com/file/d/1UoE-XuW1SDLUjZmJPkIZ1MLxvQFgmTFH/view
2. Place the file in ./PRNet/Data/net-data
3. Create a conda environment or venv with python2.7, tf 1.13 (gpu version), cv2 4.2.1, numpy and dlib.
4. In prnetWrapper.py, specify path to the source image/video and path to the destination image/video.
5. Run in command line: python prnetWrapper.py.

FaceSwap results

Facial Landmarks

Delaunay's Triangulation

Final Swap

Swap in the same frame