Book Image

Building Computer Vision Projects with OpenCV 4 and C++

By : David Millán Escrivá, Prateek Joshi, Vinícius G. Mendonça, Roy Shilkrot
Book Image

Building Computer Vision Projects with OpenCV 4 and C++

By: David Millán Escrivá, Prateek Joshi, Vinícius G. Mendonça, Roy Shilkrot

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. This Learning Path is your guide to understanding OpenCV concepts and algorithms through real-world examples and activities. Through various projects, you'll also discover how to use complex computer vision and machine learning algorithms and face detection to extract the maximum amount of information from images and videos. In later chapters, you'll learn to enhance your videos and images with optical flow analysis and background subtraction. Sections in the Learning Path will help you get to grips with text segmentation and recognition, in addition to guiding you through the basics of the new and improved deep learning modules. By the end of this Learning Path, you will have mastered commonly used computer vision techniques to build OpenCV projects from scratch. This Learning Path includes content from the following Packt books: •Mastering OpenCV 4 - Third Edition by Roy Shilkrot and David Millán Escrivá •Learn OpenCV 4 By Building Projects - Second Edition by David Millán Escrivá, Vinícius G. Mendonça, and Prateek Joshi
Table of Contents (28 chapters)
Title Page
Copyright and Credits
About Packt
Contributors
Preface
Index

Chapter 12. 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 deep learning neural networks(NNs)
  • YOLO – a very fast deep learning object detection algorithm
  • Face detection...