Technical requirements
This chapter requires familiarity with the basic C++ programming language. All of the code that's used in this chapter can be downloaded from the following GitHub link: https://github.com/PacktPublishing/Building-Computer-Vision-Projects-with-OpenCV4-and-CPlusPlus/tree/master/Chapter05. The code can be executed on any operating system, though it is only tested on Ubuntu.
Check out the following video to see the Code in Action:
http://bit.ly/2DRbMbz
推薦閱讀
- 公有云容器化指南：騰訊云TKE實戰(zhàn)與應(yīng)用
- 我們都是數(shù)據(jù)控：用大數(shù)據(jù)改變商業(yè)、生活和思維方式
- Hands-On Data Structures and Algorithms with Rust
- DB29forLinux,UNIX,Windows數(shù)據(jù)庫管理認證指南
- 從0到1：數(shù)據(jù)分析師養(yǎng)成寶典
- Neural Network Programming with TensorFlow
- Spark核心技術(shù)與高級應(yīng)用
- 數(shù)據(jù)庫原理與應(yīng)用（Oracle版）
- Python金融數(shù)據(jù)分析（原書第2版）
- 深入淺出Greenplum分布式數(shù)據(jù)庫：原理、架構(gòu)和代碼分析
- SQL應(yīng)用及誤區(qū)分析
- 大數(shù)據(jù)數(shù)學(xué)基礎(chǔ)（R語言描述）
- 實現(xiàn)領(lǐng)域驅(qū)動設(shè)計
- Access 2010數(shù)據(jù)庫程序設(shè)計實踐教程
- 標(biāo)簽類目體系：面向業(yè)務(wù)的數(shù)據(jù)資產(chǎn)設(shè)計方法論