OpenCV 3.x with Python By Example, 2/e
暫譯: 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 對影像應用複雜的視覺效果
- 從影像中提取特徵並利用這些特徵開發高級應用程式
- 建立演算法以幫助理解影像內容並執行視覺搜尋

**書籍描述**

計算機視覺在現代科技中無處不在。OpenCV for Python 使我們能夠實時運行計算機視覺演算法。隨著強大機器的出現，我們獲得了更多的處理能力來進行工作。利用這項技術，我們可以將計算機視覺應用無縫整合到雲端中。本書將引導您了解構建驚人計算機視覺應用所需的所有基本組件。

我們首先將幾何變換應用於影像。接著討論仿射變換和投影變換，並了解如何利用它們為照片應用酷炫的幾何效果。然後，我們將涵蓋用於物體識別、3D 重建、立體成像及其他計算機視覺應用的技術。本書還通過範例介紹流行的 OpenCV 函式庫。您還將學習相機校準以及如何應用機器學習與人工神經網絡。

本書是一個實用的教程，涵蓋不同層級的各種範例，教您 OpenCV 的不同功能及其實際實現。到本書結束時，您將掌握使用 OpenCV 和 Python 開發實際計算機視覺應用的技能。

**您將學到的內容**

- 從影像和視頻中檢測形狀和邊緣
- 如何對影像和視頻應用濾鏡
- 使用不同技術來操作和改善影像
- 提取和操作影像和視頻的特定部分
- 從視頻中追蹤物體或顏色
- 從影像和視頻中識別特定物體或面孔
- 如何創建擴增實境應用程式
- 應用人工神經網絡和機器學習來改善物體識別

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