May 2020
Beginner to intermediate
430 pages
10h 39m
English
Content preview from Mastering Computer Vision with TensorFlow 2.x
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What this book covers
Chapter 1, Computer Vision and TensorFlow Fundamentals, discusses the foundational concepts of computer vision and TensorFlow to prepare you for the later, more advanced chapters of this book. We will look at how to perform image hashing and filtering. Then, we will learn about various methods of feature extraction and image retrieval. Moving on, we will learn about contour-based object detection, histogram of oriented gradients and various feature matching methods. Then, we will look at an overview of the high-level TensorFlow software and its different components and subsystems. The chapter provides many hands-on coding exercises for object detection, image filtering and feature matching.
Chapter 2, Content Recognition ...
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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.