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Learn OpenCV 4 by Building Projects

Learn OpenCV 4 by Building Projects - Second Edition

By : David Millán Escrivá, Vinícius G. Mendonça, Prateek Joshi
2.5 (2)
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Learn OpenCV 4 by Building Projects

Learn OpenCV 4 by Building Projects

2.5 (2)
By: David Millán Escrivá, Vinícius G. Mendonça, Prateek Joshi

Overview of this book

OpenCV is one of the best open source libraries available, and can help you focus on constructing complete projects on image processing, motion detection, and image segmentation. Whether you’re completely new to computer vision, or have a basic understanding of its concepts, Learn OpenCV 4 by Building Projects – Second edition will be your guide to understanding OpenCV concepts and algorithms through real-world examples and projects. You’ll begin with the installation of OpenCV and the basics of image processing. Then, you’ll cover user interfaces and get deeper into image processing. As you progress through the book, you'll learn complex computer vision algorithms and explore machine learning and face detection. The book then guides you in creating optical flow video analysis and background subtraction in complex scenes. In the concluding chapters, you'll also learn about text segmentation and recognition and understand the basics of the new and improved deep learning module. By the end of this book, you'll be familiar with the basics of Open CV, such as matrix operations, filters, and histograms, and you'll have mastered commonly used computer vision techniques to build OpenCV projects from scratch.
Table of Contents (14 chapters)
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Deep Learning with OpenCV

Deep learning is a state-of-the-art form of machine learning that is reaching its best accuracy in image classification and speech recognition. Deep learning is also used in other fields, such as robotics and artificial intelligence with reinforcement learning. This is the main reason OpenCV is making significant efforts to include deep learning at its core. We are going to learn the basic use of OpenCV deep learning interfaces and look at using them in two use cases: object detection and face detection.

In this chapter, we are going to learn the basics of deep learning and see how to use it in OpenCV. To reach our objective, we are going to learn object detection and classification using the you only look once (YOLO) algorithm.

The following topics will be covered in this chapter:

  • What is deep learning?
  • How OpenCV works with deep learning and implementing...
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Learn OpenCV 4 by Building Projects
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