Master Facial Recognition in .NET/C# using Aforge/Accord

所在平台: Udemy

课程主页: https://www.udemy.com/course/master-facial-recognition-in-netc/

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课程简介

课程名称:精通.NET/C#下的面部识别,使用Aforge/Accord 课程概述:本课程深入讲解面部识别技术,结合真实项目案例和详细的逐步教程。在深入技术讨论和演示之前,课程将首先解释输出结果。整个课程采用简单易懂、节奏适中的格式,并配有详尽的音频和视觉辅助材料。课程内容涵盖实时和非实时面部识别,适用于多种应用场景(移动设备、在线、桌面和云端),包括库的整合、桌面用户界面的介绍以及图像滤镜的使用。 学习内容包括: - 在Visual Studio中设置项目并添加外部库 - 使用Accord和Aforge库进行物体检测的基础知识 - 利用Accord和Aforge库应用不同的图像滤镜 - 使用.NET/C#识别不同的面孔和形状 - 连接摄像头并使用.NET/C#拍摄照片 - 验证所需护照照片的质量 - 背景的验证与检测 - 桌面应用程序的用户界面设计 - 如何将代码打包成类库以实现可重用性 - 理解学习目标在桌面应用、网络解决方案及云端或本地服务导向架构中的不同应用 尽管面部检测和识别是课程的主要目标,但您所学的知识也可用于创建和构建各种物体/形状检测应用程序。

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课程详情

A thorough course on facial recognition that includes excerpts from real-world projects and a detailed tutorial for each stage. Before the technical discussion and demonstration are fully described, the results output are explained first. The entire course follows a straightforward, well-paced format with thorough audio and visual aids. Lessons cover live and non-live face identification with scenarios for several application types (mobile, online, desktop, and cloud), libraries integration, introduction to desktop user interface, and image filters. You'll learn:Setting up a project and adding external libraries to Visual StudioThe fundamentals of using the Accord and Aforge libraries for object detectionUsing the Accord and Aforge libraries to apply different picture filtersHow to use.NET/C# to identify distinct faces and shapesFind the attached camera and snap a photo using.NET/C#Verify the required passport photo's quality.Validation and detection of backgroundsDesign of the user interface for desktop applicationsHow to make code reusable by packaging it as a class libraryRecognizing the different applications of the learning objectives for desktop applications, web solutions, and service-oriented architecture in cloud or on-premises settingsAlthough facial detection and recognition are the main goals of this course, you can utilize the knowledge to create and build various kinds of object/shape detection.

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