April 2020
Intermediate to advanced
438 pages
12h 2m
English
Content preview from Python Image Processing Cookbook
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Face alignment with dlib
Face alignment can be thought of as an image processing task consisting of the following steps:
- Identify the facial landmarks (or the facial geometric structure).
- Compute a canonical alignment by estimating a geometric transformation (for example, an affine transform) of the face to be aligned using the landmarks.
Face alignment is a data normalization process—an essential pre-processing step for many facial recognition algorithms. In this recipe, you will first learn how to use the dlib library's face detector to detect the faces from an image containing face(s) and then use the shape predictor to extract the facial landmarks from the detected faces. After that, we will warp the input face (using the estimated ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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.