March 2019
Intermediate to advanced
538 pages
13h 38m
English
book
Building Computer Vision Projects with OpenCV 4 and C++
by David Millan Escriva, Prateek Joshi, Vinicius G. Mendonca, Roy Shilkrot
Content preview from Building Computer Vision Projects with OpenCV 4 and C++
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Summary
In this chapter, we saw that scene text recognition is a far more difficult OCR situation than working with scanned texts. We studied how the text module addresses this problem with extremal region identification using the Newmann and Matas algorithm. We also saw how to use this API with the floodFill function to extract the text into an image and submit it to Tesseract OCR. Finally, we studied how the OpenCV text module integrates with Tesseract and other OCR engines, and how can we use its classes to identify what's written in an image.
In the next chapter, you will be introduced to deep learning in OpenCV. You will learn about object detection and classification by using the you only look once (YOLO) algorithm.
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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.