Book Image

Learning OpenCV 5 Computer Vision with Python, Fourth Edition - Fourth Edition

By : Joseph Howse, Joe Minichino
5 (2)
Book Image

Learning OpenCV 5 Computer Vision with Python, Fourth Edition - Fourth Edition

5 (2)
By: Joseph Howse, Joe Minichino

Overview of this book

Computer vision is a rapidly evolving science in the field of artificial intelligence, encompassing diverse use cases and techniques. This book will not only help those who are getting started with computer vision but also experts in the domain. You'll be able to put theory into practice by building apps with OpenCV 5 and Python 3. You'll start by setting up OpenCV 5 with Python 3 on various platforms. Next, you'll learn how to perform basic operations such as reading, writing, manipulating, and displaying images, videos, and camera feeds. From taking you through image processing, video analysis, depth estimation, and segmentation, to helping you gain practice by building a GUI app, this book ensures you'll have opportunities for hands-on activities. You'll tackle two popular challenges: face detection and face recognition. You'll also learn about object classification and machine learning, which will enable you to create and use object detectors and even track moving objects in real time. Later, you'll develop your skills in augmented reality and real-world 3D navigation. Finally, you'll cover ANNs and DNNs, learning how to develop apps for recognizing handwritten digits and classifying a person's gender and age, and you'll deploy your solutions to the Cloud. By the end of this book, you'll have the skills you need to execute real-world computer vision projects.
Table of Contents (12 chapters)
Free Chapter
Learning OpenCV 5 Computer Vision with Python, Fourth Edition: Tackle tools, techniques, and algorithms for computer vision and machine learning
Appendix A: Bending Color Space with the Curves Filter

Using OpenCV with MediaPipe and Tensorflow to classify gestures and actions

In the previous sections of the chapter you have familiarized with the idea of Artificial Neural Networks, and how they can be used in a computer vision context, coupled with OpenCV.

This wonderful match of Computer Vision and ML/AI, coupled with the exponential increase in computing power, enabled engineers to resolve really difficult challenges, such as general object detection and recognition, tracking etc.

Like every other area of software engineering, at first some tasks are difficult to accomplish, then they become run of the mill, then a plethora of libraries and frameworks becomes available in many programming languages, often hiding the underlying logic.

In many respects, it’s like driving a car: you don’t have to know how an engine works to drive a car, and if all you want to do is to drive the car from point A to point B respecting limits and rules of the road, then knowing how an engine...