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

AWS Serverless (Fargate, Lambda) and AWS SAM

As mentioned, the reason why we are focusing on Lambda functions is their serverless nature.

Serverless clearly does not mean “without servers”, more “without the need of provisioning and managing servers”. Which, if you ask me, is a great selling point for all computer vision developers out there who want to put their code to production in a web context without having to learn more than simple basics of web development (really, just how to handle a web request).

This idea of developing applications without having to provision the underlying ressources isn’t new, but the flexibility and stability provided by containers pushes this aspect of development and deployment into another level.

Moreover, even in existing products that encapsulate your application in an environment which makes deployment easy, scalability remains an issue.

AWS Fargate and AWS Lambda instead are resolving exactly this problem. They...