Please share your thoughts on this book with others by leaving a review on the site that you bought it from. If you purchased the book from Amazon, please leave us an honest review on this book's Amazon page. This is vital so that other potential readers can see and use your unbiased opinion to make purchasing decisions, we can understand what our customers think about our products, and our authors can see your feedback on the title that they have worked with Packt to create. It will only take a few minutes of your time, but is valuable to other potential customers, our authors, and Packt. Thank you!
Learning OpenCV 4 Computer Vision with Python 3
By :
Learning OpenCV 4 Computer Vision with Python 3
By:
Overview of this book
Computer vision is a rapidly evolving science, encompassing diverse applications 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 4 and Python 3.
You’ll start by understanding OpenCV 4 and how to set it up with Python 3 on various platforms. Next, you’ll learn how to perform basic operations such as reading, writing, manipulating, and displaying still images, videos, and camera feeds. From taking you through image processing, video analysis, and 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. Next, you’ll tackle two popular challenges: face detection and face recognition. You’ll also learn about object classification and machine learning concepts, which will enable you to create and use object detectors and classifiers, and even track objects in movies or video camera feed. Later, you’ll develop your skills in 3D tracking and augmented reality. Finally, you’ll cover ANNs and DNNs, learning how to develop apps for recognizing handwritten digits and classifying a person's gender and age.
By the end of this book, you’ll have the skills you need to execute real-world computer vision projects.
Table of Contents (13 chapters)
Preface
Setting Up OpenCV
Free Chapter
Handling Files, Cameras, and GUIs
Processing Images with OpenCV
Depth Estimation and Segmentation
Detecting and Recognizing Faces
Retrieving Images and Searching Using Image Descriptors
Building Custom Object Detectors
Tracking Objects
Camera Models and Augmented Reality
Introduction to Neural Networks with OpenCV
Other Book You May Enjoy
Appendix A: Bending Color Space with the Curves Filter
How would like to rate this book
Customer Reviews
