In this chapter, we briefly looked at the OpenVINO toolkit—what it is, what it's used for, and how we can install it. We also looked at how to run the demos and samples provided with the toolkit to understand and witness the power of OpenVINO. Finally, we saw how to harness this power in our pre-existing OpenCV codes by just adding one line specifying the backend to be used for model inference.
You might have also noticed that we didn't cover much hands-on content in this chapter. That's because OpenVINO is more suited for deep learning applications, which are not in the scope of this book. If you are a deep learning enthusiast, you should definitely go through the documentation provided by Intel on the OpenVINO toolkit and get started. It will definitely prove very useful to you.
In the next chapter, we will quickly go over a summary of all of the...
