On the Subject of Face Swap

• Develop a Python application for automatic face swapping in images and videos.
• Utilize OpenCV and dlib libraries for face detection, alignment, and swapping.
• Features include face detection, alignment, and an accurate swapping algorithm.
• Workflow involves loading input media, detecting and aligning faces, performing face swapping while preserving expressions, and saving the output.
• Challenges include accurate detection and alignment, natural blending of swapped faces, and handling variations in lighting and expressions.
• Extensions include real-time face swapping, face swapping in videos, and exploring advanced facial attribute manipulation.

Face Swap Demo

Project Genre





Technologies Used

  • Python
  • Tensorflow
  • Convolutional Neural Network
  • OpenCV