OpenCV 3.x with Python By Example, 2/e (OpenCV 3.x 與 Python 實例解析，第二版)

Gabriel Garrido, Prateek Joshi

OpenCV 3.x with Python By Example, 2/e

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商品描述

Key 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

商品描述(中文翻譯)

主要特點


  • 學習如何使用OpenCV 3和Python對圖像應用複雜的視覺效果

  • 從圖像中提取特徵並使用它們來開發高級應用程序

  • 構建算法，幫助您理解圖像內容並執行視覺搜索

書籍描述

計算機視覺在現代技術中無處不在。OpenCV for Python使我們能夠實時運行計算機視覺算法。隨著強大機器的出現，我們有更多的處理能力可供使用。使用這項技術，我們可以無縫地將計算機視覺應用程序集成到雲端中。本書將引導您完成構建令人驚嘆的計算機視覺應用程序所需的所有基礎。

我們首先對圖像應用幾何變換。然後，我們討論仿射和射影變換，並看看如何使用它們對照片應用酷炫的幾何效果。然後，我們將介紹用於物體識別、3D重建、立體成像和其他計算機視覺應用的技術。本書還通過示例介紹了流行的OpenCV庫。您還將學習相機校準以及如何應用人工神經網絡進行機器學習。

本書是一本實用的教程，涵蓋了不同層次的各種示例，教您了解OpenCV的不同功能及其實際實現。通過閱讀本書，您將掌握使用OpenCV和Python開發實際計算機視覺應用程序的技能。

您將學到什麼


  • 從圖像和視頻中檢測形狀和邊緣

  • 如何對圖像和視頻應用濾鏡

  • 使用不同技術來操縱和改進圖像

  • 提取和操縱圖像和視頻的特定部分

  • 從視頻中跟踪對象或顏色

  • 識別圖像和視頻中的特定對象或人臉

  • 如何創建擴增實境應用程序

  • 應用人工神經網絡和機器學習來改進物體識別

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