June 2019
Intermediate to advanced
348 pages
8h 28m
English
Content preview from Qt 5 and OpenCV 4 Computer Vision Projects
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Car detection in real time
Before measuring the distance between objects, we must detect the objects of interest to find out where they are. In this chapter, we have decided to measure the distance between cars, so we should start by detecting cars. In the preceding chapter, Chapter 6, Object Detection in Real Time, we learned how to detect objects in many ways, we saw that the YOLOv3 model has good performance in terms of accuracy, and fortunately, the car object class is in the category list of the coco dataset (that is, the coco.names file). Therefore, we will follow that method and use the YOLOv3 model to detect cars.
As we did in the previous chapters, we will create the new project of this chapter by copying one of the projects we have ...
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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.
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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.