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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Summary
In this chapter, we created a new application named Literacy. In this application, we recognized characters on images using the Tesseract library. For images that have well-typeset characters, Tesseract worked well; but for the characters in photos of ordinary everyday life, it failed to recognize them. To fix this issue, we resorted to the EAST model with OpenCV. With a pretrained EAST model, we first detected the text areas in photos and then instructed the Tesseract library to only recognize the characters in the detected regions. At this point, Tesseract performed well again. In the last section, we learned how to grab the desktop as an image and how to select a region on it by dragging the mouse.
We used several pretrained neural ...
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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.