October 2018
Intermediate to advanced
246 pages
6h 26m
English
Content preview from Machine Learning Projects for Mobile Applications
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Facial key point detection
The important aspect that makes a face swap look real is aligning the face. The aim is to place one face on top of the other such that it covers the other face. To identify the facial key points, we need to identify the geometry of both faces. Since the geometry will be different between faces, we need to warp the source face to align it with the target face. Dlib helps with identifying 68 facial key points. We identify the outer boundary of the face as follows:
This image shows the 68 landmarks that are located on every face.
The preceding image was created by Brandon Amos of CMU, who works on the OpenFace library. ...
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I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.