基于 face_recognition 实现多人脸识别认证

最新推荐文章于 2024-05-31 23:28:03 发布

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最新推荐文章于 2024-05-31 23:28:03 发布 · 1.7k 阅读

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#FaceRecog #人脸识别 #face_recognition #dlib

本文介绍了如何在Python环境中，通过face_recognition库进行人脸识别。首先确保使用Python37，然后依次安装cmake、boost、opencv、dlib（针对Python37提供了whl文件的下载链接），最后安装face_recognition库。只需替换代码中图片路径，即可完成人脸识别认证。

不罗嗦先上代码：

import face_recognition
import cv2
import numpy as np
# 调用笔记本 人脸识别 可配置照片
# This is a demo of running face recognition on live video from your webcam. It's a little more complicated than the
# other example, but it includes some basic performance tweaks to make things run a lot faster:
#   1. Process each video frame at 1/4 resolution (though still display it at full resolution)
#   2. Only detect faces in every other frame of video.

# PLEASE NOTE: This example requires OpenCV (the `cv2` library) to be installed only to read from your webcam.
# OpenCV is *not* required to use the face_recognition library. It's only required if you want to run this
# specific demo. If you have trouble installing it, try any of the other demos that don't require it instead.

# Get a reference to webcam #0 (the default one)
video_capture = cv2.VideoCapture(0)

# Load a sample picture and learn how to recognize it.
# 刘振达
zhend