Python OpenCV 3入门指南：从安装到实战
需积分: 10 199 浏览量
更新于2024-07-21
收藏 3.99MB PDF 举报
"《Learning OpenCV 3 Computer Vision with Python Second Edition》是一本专门介绍如何在Python环境下学习OpenCV 3计算机视觉技术的教程。作者以易于理解的方式讲解了如何利用Python接口操作OpenCV，相比于C++，书中强调了Python的简洁性和易用性。本书以全英文编著，提供PDF格式，适合那些希望深入理解和实践计算机视觉应用的开发者，特别是对Python有基础的读者。
本书的章节涵盖了OpenCV安装和配置的详细步骤，包括不同操作系统（如Windows、OSX、Ubuntu及其衍生版）上的安装方法，如使用setuptools、CMake、MacPorts或Homebrew等包管理工具。针对Windows用户，除了推荐的二进制安装器外，还介绍了如何手动编译以支持深度相机。对于Linux用户，作者指导了通过Ubuntu软件仓库或自定义编译来安装OpenCV。
此外，书中还重点介绍了如何安装OpenCV的Contrib模块，这是OpenCV的重要扩展功能，对于需要高级特性的开发者尤其有价值。读者会了解到如何运行示例代码，并找到官方文档、帮助资源以及获取最新更新的方法。
该书的读者群主要是对计算机视觉感兴趣，尤其是希望通过Python实现图像处理和机器视觉的工程师和数据科学家。作者和审稿者的专业背景使得内容既具有理论深度又实用性强，适合初学者作为入门指南，也适合有一定经验的开发人员作为参考书籍。
《Learning OpenCV 3 Computer Vision with Python Second Edition》是学习和实践OpenCV在Python中的核心工具的一本不可或缺的教材，无论是从零开始学习还是想要提升技能的开发者，都能从中获益匪浅。"
Preface
OpenCV 3 is a state-of-the-art computer vision library that is used for a variety of image and
video processing operations. Some of the more spectacular and futuristic features, such as
face recognition or object tracking, are easily achievable with OpenCV 3. Learning the basic
concepts behind computer vision algorithms, models, and OpenCV's API will enable the
development of all sorts of real-world applications, including security and surveillance tools.
Starting with basic image processing operations, this book will take you through a journey
that explores advanced computer vision concepts. Computer vision is a rapidly evolving
science whose applications in the real world are exploding, so this book will appeal to
computer vision novices as well as experts of the subject who want to learn about the brand
new OpenCV 3.0.0.
剩余245页未读，继续阅读
922 浏览量
739 浏览量
2024-01-10 上传
810 浏览量
111 浏览量
2018-10-13 上传
110 浏览量
