September 2019
Intermediate to advanced
420 pages
10h 29m
English
book
Machine Learning for OpenCV 4 - Second Edition
by Aditya Sharma, Michael Beyeler (USD), Vishwesh Ravi Shrimali, Michael Beyeler
Content preview from Machine Learning for OpenCV 4 - Second Edition
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Summary
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. ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.