To get the most out of this book

You will need a version of TensorFlow 2 installed. All the recipes in this book have been implemented and tested using TensorFlow 2.3 on macOS X and Ubuntu 20.04, but they should work with future stable versions as well. Please note that Windows is not supported.

Although not strictly necessary, access to a GPU-enabled machine, either on-premises or in the cloud, is highly encouraged, as it reduces the runtime of the examples dramatically.

If you are using the digital version of this book, we advise you to type the code yourself or access the code via the GitHub repository (link available in the next section). Doing so will help you avoid any potential errors related to the copying and pasting of code.

Because this is a hands-on book, focused on practical examples to solve varied situations, I encourage you to expand your knowledge on any topics that you find interesting in any particular recipe. In the See also section of each recipe, you will find links, references, and suggestions for recommended reads or extension points that will cement your understanding of the techniques explained in that example.

Download the example code files

You can download the example code files for this book from GitHub at https://github.com/PacktPublishing/Tensorflow-2.0-Computer-Vision-Cookbook. In case there’s an update to the code, it will be updated on the existing GitHub repository.

We also have other code bundles from our rich catalog of books and videos available at https://github.com/PacktPublishing/. Check them out!