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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Real-Time Car Detection and Distance Measurement
In the previous chapter, we learned how to detect objects using the OpenCV library, both via the cascade classifiers approach and the deep learning approach. In this chapter, we will discuss how to measure the distance between the detected objects or between the object of interest and our camera. We will detect cars in a new application and measure the distance between cars and the distance between a car and the camera.
The following topics will be covered in this chapter:
- Detecting cars using the YOLOv3 model with OpenCV
- Methods to measure distance in different view angles
- Measuring the distance between cars in the bird's eye view
- Measuring the distance between a car and the camera in the ...
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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.