OpenCV 3.x with Python By Example 2nd Edition pdf

相似文件 换一批

是 否 +2 论坛币

k人 参与回答

经管之家送您一份

应届毕业生专属福利!

求职就业群

赵安豆老师微信：zhaoandou666

经管之家联合CDA

送您一个全额奖学金名额~ !

立即领取

感谢您参与论坛问题回答

经管之家送您两个论坛币！

+2 论坛币

Make the most of OpenCV and Python to build applications for object recognition and augmented reality 充分利用OpenCV和Python来构建对象识别和增强现实的应用程序
计算机视觉在现代技术中随处可见。 OpenCV for Python使我们能够实时运行计算机视觉算法。随着强大机器的出现，我们拥有更多处理能力。使用这项技术，我们可以将计算机视觉应用程序无缝集成到云中。本书着重于OpenCV 3.x和Python 3.6，将指导您轻松构建出色的计算机视觉应用程序。
我们首先使用简单的过滤和几何变换来操纵图像。然后我们讨论仿射和投影转换，看看我们如何使用它们对照片应用很酷的高级操作，例如调整它们的大小，同时保持内容完整或平滑地删除不需要的元素。然后，我们将使用先进的机器学习技术（如人工神经网络）来介绍对象跟踪，身体部位识别和对象识别等技术。还包括3D重建和增强现实技术。本书借助示例介绍了流行的OpenCV库。
本书是一本实用的教程，涵盖了不同层面的各种示例，教您OpenCV的不同功能及其实际实现。到本书结束时，您将掌握使用OpenCV和Python开发真实计算机视觉应用程序的技能。


OpenCV 3.x with Python By Example 2nd Edition pdfKey Features

• Learn how to apply complex visual effects to images with OpenCV 3 and Python
• Extract features from an image and use them to develop advanced applications
• Build algorithms to help you understand image content and perform visual searches
  

Book Description
Computer vision is found everywhere in modern technology. OpenCV for Python enables us to run computer vision algorithms in real time. With the advent of powerful machines, we are getting more processing power to work with. Using this technology, we can seamlessly integrate our computer vision applications into the cloud. This book will walk you through all the building blocks needed to build amazing computer vision applications with ease.
We start off by applying geometric transformations to images. We then discuss affine and projective transformations and see how we can use them to apply cool geometric effects to photos. We will then cover techniques used for object recognition, 3D reconstruction, stereo imaging, and other computer vision applications. The book also covers popular OpenCV libraries with the help of examples. You will also learn about camera calibration and how to apply machine learning with artificial neural networks.
The book is a practical tutorial that covers various examples at different levels, teaching you about the different functions of OpenCV and their actual implementation. By the end of this book, you will have acquired the skills to use OpenCV and Python to develop real-world computer vision applications.
What you will learn

• Detect shapes and edges from images and videos
• How to apply filters on images and videos
• Use different techniques to manipulate and improve images
• Extract and manipulate particular parts of images and videos
• Track objects or colors from videos
• Recognize specific object or faces from images and videos
• How to create Augmented Reality applications
• Apply artificial neural networks and machine learning to improve object recognition
  

来源：

2018最佳人工智能图像处理工具OpenCV书籍下载

https://china-testing.github.io/opencv_books.html

扫码加我 拉你入群

请注明：姓名-公司-职位

以便审核进群资格，未注明则拒绝

分享0 收藏4 回帖

点个赞加点人气
感谢分享