Face-Swap

Detected 68 human face features points in an image using d-lib deep learning model.
Utilized Delaunay triangulation to create triangular patches from the detected feature points in the source and target faces.
Identified corresponding triangular patches from source to target image and swapped them.

Personnel

UID:118191058

Master's Student at University of Maryland, College Park

Name		Name	Last commit message	Last commit date
Latest commit History 11 Commits
Data		Data
__pycache__		__pycache__
output		output
Delaunay.py		Delaunay.py
Main.py		Main.py
README.md		README.md
TPS.py		TPS.py
facePoints.py		facePoints.py
outpy.avi		outpy.avi
shape_predictor_68_face_landmarks.dat		shape_predictor_68_face_landmarks.dat