Learning OpenCV 3 Computer Vision with Python - Second Edition pdf epub mobi txt 电子书 下载 2026
- 计算机视觉
- opencv
- Python
- 人工智能
- CV
- 编程
- 入门
- vision
- OpenCV
- Python
- Computer Vision
- Image Processing
- Machine Learning
- Deep Learning
- Object Detection
- Feature Detection
- Image Analysis
- Second Edition
具体描述
Unleash the power of computer vision with Python using OpenCV
About This Book
Create impressive applications with OpenCV and PythonFamiliarize yourself with advanced machine learning conceptsHarness the power of computer vision with this easy-to-follow guide
Who This Book Is For
Intended for novices to the world of OpenCV and computer vision, as well as OpenCV veterans that want to learn about what's new in OpenCV 3, this book is useful as a reference for experts and a training manual for beginners, or for anybody who wants to familiarize themselves with the concepts of object classification and detection in simple and understandable terms. Basic knowledge about Python and programming concepts is required, although the book has an easy learning curve both from a theoretical and coding point of view.
What You Will Learn
Install and familiarize yourself with OpenCV 3's Python APIGrasp the basics of image processing and video analysisIdentify and recognize objects in images and videosDetect and recognize faces using OpenCVTrain and use your own object classifiersLearn about machine learning concepts in a computer vision contextWork with artificial neural networks using OpenCVDevelop your own computer vision real-life application
In Detail
OpenCV 3 is a state-of-the-art computer vision library that allows a great 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.
Starting with basic image processing operations, the book will take you through to 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 wanting to learn the brand new OpenCV 3.0.0. You will build a theoretical foundation of image processing and video analysis, and progress to the concepts of classification through machine learning, acquiring the technical know-how that will allow you to create and use object detectors and classifiers, and even track objects in movies or video camera feeds. Finally, the journey will end in the world of artificial neural networks, along with the development of a hand-written digits recognition application.
Style and approach
This book is a comprehensive guide to the brand new OpenCV 3 with Python to develop real-life computer vision applications.
作者简介
About the Author
Joe Minichino
Joe Minichino is a computer vision engineer for Hoolux Medical by day and a developer of the NoSQL database LokiJS by night. On weekends, he is a heavy metal singer/songwriter. He is a passionate programmer who is immensely curious about programming languages and technologies and constantly experiments with them. At Hoolux, Joe leads the development of an Android computer vision-based advertising platform for the medical industry. Born and raised in Varese, Lombardy, Italy, and coming from a humanistic background in philosophy (at Milan's Universita Statale), Joe has spent his last 11 years living in Cork, Ireland, which is where he became a computer science graduate at the Cork Institute of Technology.
Joseph Howse
Joseph Howse lives in Canada. During the winters, he grows his beard, while his four cats grow their thick coats of fur. He loves combing his cats every day and sometimes, his cats also pull his beard. He has been writing for Packt Publishing since 2012. His books include OpenCV for Secret Agents, OpenCV Blueprints, Android Application Programming with OpenCV 3, OpenCV Computer Vision with Python, and Python Game Programming by Example. When he is not writing books or grooming his cats, he provides consulting, training, and software development services through his company, Nummist Media (http://nummist.com).
目录信息
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这本书的深度和广度都超出了我的预期，特别是对于一些进阶主题的处理，让人印象深刻。我原本以为它会停留在基础的边缘检测和特征提取，但后面深入到目标跟踪和深度学习框架（比如与TensorFlow/PyTorch的结合）的部分，简直是点睛之笔。这些内容在很多同类书籍中往往是一带而过，或者需要读者自己去寻找其他资料补充。然而，这本书做到了将OpenCV的核心功能与现代CV范式无缝集成。作者在讲解算法原理时，没有满足于停留在“调用函数”的层面，而是会适当地剖析背后的数学逻辑，但同时又不会让读者感到压力过大，总能在理论和实践之间找到一个绝妙的平衡点。我花了很长时间去研究其中关于视频分析的部分，它提供的优化技巧和性能考量，让我对如何将模型部署到实际项目中有了更清晰的认知。这绝对不是一本“速成”读物，而是需要耐心品读、并随时动手实践的工具书。
评分这本书简直是为我这种刚踏入计算机视觉领域的小白量身定做的！我之前对OpenCV的了解仅限于听说过，完全没有实战经验，拿到这本书的时候还有点担心会不会太晦涩难懂。结果呢，上手之后才发现，作者的讲解方式简直是化繁为简的大师。它不是那种干巴巴地罗列API文档的教科书，而是通过大量的实例和代码片段，一步步引导你构建实际的应用。比如，在讲解图像处理基础时，它没有直接堆砌复杂的数学公式，而是先展示一个效果，然后用清晰的步骤告诉你“我们如何通过这些代码实现这个效果”，这对于初学者建立直观认识太重要了。我尤其喜欢它对Python在CV中应用的侧重，毕竟Python的易用性是吸引我们这些非科班出身人士的一大原因。书中对环境配置和基础库的介绍也极其到位，省去了我自己在网上东拼西凑找教程的时间，真正做到了开箱即用。可以说，它为我后续的深入学习打下了极其坚实且友好的基础。
评分作为一名已经在职场工作了几年、希望利用计算机视觉技术改进现有工作流程的工程师来说，我更看重的是效率和实用性。这本书给我的感觉是“面向实战”的典范。它不仅仅是教你“能做什么”，更侧重于“如何高效地做”。例如，在讲解如何优化图像处理管道以提高帧率时，书中提供的建议是基于实际性能瓶颈的分析，而不是空泛的理论指导。我特别欣赏它对特定应用场景的案例剖析，比如简单的物体计数、基础的增强现实（AR）概念演示。这些案例都是我日常工作中可能会遇到的场景，可以直接从中汲取灵感并快速应用。这本书的结构安排也非常合理，从基础到高阶，层层递进，让我的知识体系构建得非常稳固，每学完一个模块，都感觉自己的实战能力又提升了一截，而不是单纯地积累了知识点。
评分这本书的价值在于它的完整性和前沿性，它似乎紧跟了OpenCV库的最新迭代，确保了代码和概念的时效性。我曾尝试用一些几年前的教程来学习，结果发现很多函数已经被弃用或者有了更优的实现方式，这让人非常沮丧。然而，这本书在这方面的把控非常到位，它没有沉溺于旧版本的语法，而是积极拥抱了现代化的编程范式和库的新特性。更难能可贵的是，它在讲解核心概念时，总是能提示读者去关注“为什么”以及“有没有更好的方法”。这种批判性思维的引导，对我后续自主学习和解决新出现的问题至关重要。读完它，我感觉自己不再是单纯地在模仿代码，而是真正理解了计算机视觉处理的底层逻辑，这对于任何想要在这个领域深耕的人来说，都是无价的收获。
评分坦白说，我是一个对排版和视觉呈现有很高要求的读者，很多技术书籍因为图例不足或者图例模糊，阅读体验非常糟糕。这本书在这方面做得相当出色。插图清晰、代码块格式规范，关键步骤的流程图更是直观易懂。它对OpenCV中各种窗口、绘图函数的效果展示得非常直观，这对于理解像素操作和几何变换至关重要。我发现很多时候，看着书上的一个示例图，我立刻就能在脑海中构建出代码的逻辑结构。此外，书中对错误处理和调试技巧的讨论也非常实在。很多时候，程序跑不起来不是因为算法不懂，而是因为环境配置或数据加载出了问题。这本书预见性地指出了这些“陷阱”，并给出了有效的解决办法，极大地减少了我调试代码的挫败感。这种细节上的关怀，使得整体的阅读体验上升了一个档次。
评分面向对象编程很不错, 很喜欢这个上手实操的书籍. 大致看了一遍,有用的了解了下, 还会有第二遍
评分面向对象编程很不错, 很喜欢这个上手实操的书籍. 大致看了一遍,有用的了解了下, 还会有第二遍
评分基本的用法都讲到了
评分面向对象编程很不错, 很喜欢这个上手实操的书籍. 大致看了一遍,有用的了解了下, 还会有第二遍
评分基本的用法都讲到了
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