Issue 3 Book Recommendations
brief introduction
This book is based on OpenCV for Python (OpenCV for Python) and introduces all aspects of image processing. This book takes the knowledge context of OpenCV official documents as the main line, and supplements and explains the details. The book not only introduces the use of OpenCV functions, but also introduces the algorithm principles of function implementation.
When introducing the use of OpenCV functions, a large number of program examples are provided and expanded in a step-by-step manner. First, it intuitively displays the usage, processing, and results of the function on an easy-to-observe small array, allowing readers to have a deeper understanding of the principle, usage, operation mechanism, and processing results of the function. On this basis, we will further introduce how to better use functions to process images. When introducing specific algorithm principles, this book tries to use easy-to-understand language and real-life examples to illustrate the problem, and avoids using too many complex and abstract formulas.
目标读者: This book is suitable for beginners in the field of computer vision, including school students, teachers, professional technicians, and image processing enthusiasts.
About the Author
Master of Nankai University, associate professor of Tianjin Vocational and Technical Normal University, engaged in teaching and scientific research in the field of computer vision. He has one invention patent, more than ten software copyrights, published more than ten papers, and authored many books such as "40 Examples of Computer Vision: From Introduction to Deep Learning (OpenCV-Python)". Many courses such as "OpenCV Pictures and Insights" taught in NetEase Cloud Classroom were rated as high-quality courses.
Book catalog
Experts recommend
This book uses Python language and introduces common algorithms in OpenCV and their usage in the form of cases. Python is an efficient development language. Using Python to call algorithms in OpenCV can quickly implement computer vision applications.
——于仕琪 OpenCV开源库在国内的早期推广者，“OpenCV系列”图书译者、作者，OpenCV中文站站长
This book vividly introduces the basic principles and usage methods of each function in OpenCV for Python in popular language and with real-life examples. I hope this book can bring useful inspiration to everyone, help everyone master OpenCV for Python better, faster, and more comprehensively, and make a difference in the field of computer vision.
——高铁杠 南开大学教授、博士生导师
Python is a cross-platform, open source, free, interpreted, high-level dynamic compilation language. It enables engineers, researchers, planners and even managers in various fields to quickly implement and verify their ideas, ideas and even Speculation. In some languages, functions that require writing a large amount of code can be implemented by directly calling built-in functions or standard library methods in Python, which greatly simplifies code writing and maintenance. Developers only need to focus mainly on the design and implementation of business logic, and Python will automatically balance development speed and operating efficiency. Its ingenuity is amazing.
——董付国 《Python程序设计》一书作者
Computer vision is a new and promising research field, and OpenCV is an excellent open source tool to assist computer vision. The OpenCV library aims to provide an easy-to-use computer vision interface. It contains more than 500 functions in various fields, which can help people build vision applications conveniently, quickly and efficiently. Not only that, it also provides a complete and versatile machine learning module. It is conceivable that combining Python and OpenCV will produce huge power.
This book systematically introduces the use of the OpenCV visual library for Python. The content is easy to understand, lively and interesting, rich in cases, and highly practical. I believe that by studying this book, everyone can quickly get started in the field of computer vision and skillfully use OpenCV for Python to solve practical problems.
——毕磊 腾讯科技高级工程师
I am lucky enough to read the contents of this book in advance. Like Teacher Li’s course, this book is step-by-step and explains things in simple terms, which is very suitable for beginners like me. Thanks to the teacher for developing such an easy-to-understand OpenCV course, which makes learning OpenCV very easy.
——LittleKEY 在线视频课程学员
way of participation
Five books will be given away in this issue:OpenCV轻松入门：面向Python（第2版）
Like, add any comments to favorites, and five will be randomly selected and given away for free
送书截止时间: November 29, 2023 19:00
