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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Object Detection in Real Time
In the preceding chapter, we learned about Optical Character Recognition (OCR) technology. We recognized text in scanned documents and photos with the help of the Tesseract library and a pretrained deep learning model (the EAST model), which is loaded with OpenCV. In this chapter, we will move on to the topic of object detection. We will discuss several approaches to object detection provided by OpenCV and other libraries and frameworks.
The following topics will be covered in this chapter:
- Training and using cascade classifiers to detect objects
- Object detection using deep learning models
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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.