Delaunay Triangulation for Face swapping – Opencv with Python (part 2)

We’re going to see in this tutorial how to split the face into triangles using Delaunay Triangulation.

Why are we splitting the face into triangles?
For face swapping this is the best approach to use, we split both the faces into triangles and then we swap the triangles in the corrispondent region.

    # Delaunay triangulation
    rect = cv2.boundingRect(convexhull)
    subdiv = cv2.Subdiv2D(rect)
    subdiv.insert(landmarks_points)
    triangles = subdiv.getTriangleList()
    triangles = np.array(triangles, dtype=np.int32)

    for t in triangles:
        pt1 = (t[0], t[1])
        pt2 = (t[2], t[3])
        pt3 = (t[4], t[5])

        cv2.line(img, pt1, pt2, (0, 0, 255), 2)
        cv2.line(img, pt2, pt3, (0, 0, 255), 2)
        cv2.line(img, pt1, pt3, (0, 0, 255), 2)

Sergio Canu

Hi there, I’m the founder of Pysource.
I’m a Computer Vision Consultant, developer and Course instructor.
I help Companies and Developers to build efficient computer vision software.