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Downloading the example code

You can download the latest version of the example code files for this book from GitHub: http://github.com/mbeyeler/opencv-machine-learning. All code is released under the MIT software license, so you are free to use, adapt, and share the code as you see fit. There you will also be able to explore the source code by browsing through the different Jupyter notebooks.

If you get stuck or have questions about the source code, you are welcome to post in our web forum: https://groups.google.com/d/forum/machine-learning-for-opencv. Chances are, someone else has already shared a solution to your specific problem.

Alternatively, you can download the original code files from the date of publication by visiting your account at http://www.packtpub.com. If you purchased this book elsewhere, you can visit http://www.packtpub.com/support and register to have the files e-mailed directly to you.

You can download the code files by following these steps:

  1. Log in or register to our website using your e-mail address and password.
  2. Hover the mouse pointer on the SUPPORT tab at the top.
  3. Click on Code Downloads & Errata.
  4. Enter the name of the book in the Search box.
  5. Select the book for which you're looking to download the code files.
  1. Choose from the drop-down menu where you purchased this book from.
  2. Click on Code Download.

You can also download the code files by clicking on the Code Files button on the book's webpage at the Packt Publishing website. This page can be accessed by entering the book's name in the Search box. Please note that you need to be logged in to your Packt account.

Once the file is downloaded, please make sure that you unzip or extract the folder using the latest version of:

  • WinRAR / 7-Zip for Windows
  • Zipeg / iZip / UnRarX for Mac
  • 7-Zip / PeaZip for Linux

The code bundle for the book is also hosted on GitHub at https://github.com/PacktPublishing/Machine-Learning-For-OpenCV. We also have other code bundles from our rich catalog of books and videos available at https://github.com/PacktPublishing/. Check them out!

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