April 2020
Intermediate to advanced
294 pages
7h 53m
English
Content preview from MicroPython Projects
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Summary
In this chapter, we explored how a developer could get started with object detection applications using the OpenMV camera. We examined the machine learning technologies that drive this capability under the hood, such as CMSIS-NN. While training cannot be done on the target device, the inference can be executed on a resource-constrained processor.
Depending on the end application and the object that needs to be detected, a developer may be able to leverage existing datasets to train their model. Worst case scenario, a developer may need to acquire and classify the data themselves. With the knowledge gained in this chapter, you should now be able to train your own custom models and deploy them on the OpenMV camera. You can also leverage ...
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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.