(树莓派/OpenCV)端到端实时人脸识别实战

Posted 2021-04-25 机器学习研究会

                                                                                                                                                                                       

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摘要

 

STORY

On my last tutorial exploring OpenCV, we learned AUTOMATIC VISION OBJECT TRACKING. Now we will use our PiCam to recognize faces in real-time, as you can see below:

This project was done with this fantastic "Open Source Computer Vision Library", the OpenCV. On this tutorial, we will be focusing on Raspberry Pi (so, Raspbian as OS) and Python, but I also tested the code on My Mac and it also works fine. OpenCV was designed for computational efficiency and with a strong focus on real-time applications. So, it's perfect for real-time face recognition using a camera.

To create a complete project on Face Recognition, we must work on 3 very distinct phases:

• Face Detection and Data Gathering

• Train the Recognizer

• Face Recognition

链接：

https://www.hackster.io/mjrobot/real-time-face-recognition-an-end-to-end-project-a10826

原文链接：

https://m.weibo.cn/1402400261/4212124660290909

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