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所在平台: Udemy |
课程主页: https://www.udemy.com/course/facial-recognition-using-raspberry-pi-and-opencv/
课程评论：没有评论
课程名称：基于Raspberry Pi和OpenCV的面部识别 课程概述：此课程旨在为对数字图像处理感兴趣的学习者提供指导，重点使用Raspberry Pi和OpenCV进行面部识别。课程要求学员具备基本的Python编程和Linux命令知识，以及对编程的兴趣。我们将利用OpenCV库来探索面部识别功能。OpenCV是一个开源的C++图像处理和计算机视觉库，最初由英特尔开发，目前在Willow Garage的支持下持续发展，且可用于商业和非商业用途。 在课程中，您将学习如何使用网络摄像头或其他设备捕捉图像并追踪面部，定位和计数图像中的面部。在接下来的项目中，我将教授如何使用Python和OpenCV编程来检测并高亮图像中的面部及眼睛。此外，我还将介绍一个基于机器学习的项目，利用Python编程和OpenCV构建图像拼图游戏，您可以在其中寻找大图中的小部分图像。我将逐步指导您如何完成这些项目，并分享源代码，以便您能够自行复现项目。
This course is for anyone who is interested in exploring Digital Image Processing using Raspberry Pi and OpenCV. The course requires basic knowledge of Python programming and Linux commands and obviously your interest in programming. In this course, we are going to use OpenCV libraries to explore facial recognition feature. OpenCV is an open source C++ library for image processing and computer vision, originally developed by Intel and now supported by Willow Garage. It is free for both commercial and non-commercial use. Therefore it is not mandatory for your OpenCV applications to be open or free. It is a library of many inbuilt functions mainly aimed at real-time image processing. I am going to teach you how to track faces in the image you have captured using Webcam or any other device. We will also locate and count the faces present in the image. In the next project, I will teach you how to program in Python and OpenCV to detect and highlight the eyes of the persons along with the face present in the picture. Going forward, I will also cover the machine learning based project in which I will create Image puzzle using python programming and OpenCV. This will be a picture-based puzzle where you can search a small section of the image inside a bigger image. I will guide you step by step how to go about building these projects. I will also share the source code with you so that you can replicate the project by yourself.
