We now have an application that uses a depth camera, facial tracking, copy operations, masks, and image filters. By developing this application, we have gained practice in leveraging the functionality of OpenCV, NumPy, and other libraries. We have also practiced wrapping this functionality in a high-level, reusable, and object-oriented design.
Congratulations! You now have the skill to develop computer vision applications in Python using OpenCV. Still, there is always more to learn and do! If you liked working with NumPy and OpenCV, please check out these other titles from Packt Publishing:
NumPy Cookbook, Ivan Idris
OpenCV 2 Computer Vision Application Programming Cookbook, Robert Laganière, which uses OpenCV's C++ API for desktops
Mastering OpenCV with Practical Computer Vision Projects, (by multiple authors), which uses OpenCV's C++ API for multiple platforms
The upcoming book, OpenCV for iOS How-to, which uses OpenCV's C++ API for iPhone and iPad
OpenCV Android Application Programming...