- Hands-On GPU:Accelerated Computer Vision with OpenCV and CUDA
- Bhaumik Vaidya
- 70字
- 2021-08-13 15:48:20
Technical requirements
This chapter requires familiarity with the basic C or C++ programming language, particularly dynamic memory allocation functions. All the code used in this chapter can be downloaded from the following GitHub link: https://github.com/PacktPublishing/Hands-On-GPU-Accelerated-Computer-Vision-with-OpenCV-and-CUDA. The code can be executed on any operating system, though it is only tested on Windows 10 and Ubuntu 16.04.
Check out the following video to see the Code in Action:
http://bit.ly/2PQmu4O
推薦閱讀
- Instant Node Package Manager
- The DevOps 2.3 Toolkit
- Spring Cloud Alibaba核心技術(shù)與實(shí)戰(zhàn)案例
- Java Web基礎(chǔ)與實(shí)例教程(第2版·微課版)
- Flask Web開(kāi)發(fā)入門、進(jìn)階與實(shí)戰(zhàn)
- Groovy for Domain:specific Languages(Second Edition)
- Web全棧工程師的自我修養(yǎng)
- Python Data Analysis(Second Edition)
- 從Excel到Python:用Python輕松處理Excel數(shù)據(jù)(第2版)
- 利用Python進(jìn)行數(shù)據(jù)分析
- Terraform:多云、混合云環(huán)境下實(shí)現(xiàn)基礎(chǔ)設(shè)施即代碼(第2版)
- C語(yǔ)言程序設(shè)計(jì)
- LabVIEW虛擬儀器程序設(shè)計(jì)從入門到精通(第二版)
- Python計(jì)算機(jī)視覺(jué)與深度學(xué)習(xí)實(shí)戰(zhàn)
- Scratch編程從入門到精通