Face recognition from camera

Introduction

Detect and recognize single/multi-faces from camera;

调用摄像头进行人脸识别，支持多张人脸同时识别;

摄像头人脸录入 / Face register

请不要离摄像头过近，人脸超出摄像头范围时会有 "OUT OF RANGE" 提醒 / Please do not too close to the camera, or you can't save faces with "OUT OF RANGE" warning;
提取特征建立人脸数据库 / Generate database from images captured
利用摄像头进行人脸识别 / Face recognizer

当单张人脸 / When single-face:

当多张人脸 / When multi-faces:

一张已录入人脸 + 未录入 unknown 人脸:

同时识别多张已录入人脸:

** 关于精度 / About accuracy:

When using a distance threshold of 0.6, the dlib model obtains an accuracy of 99.38% on the standard LFW face recognition benchmark.

此项目中人脸识别的实现流程 / The design of this repo:

下载源码 / Download from website or via GitHub Desktop in windows, or clone repo in Ubuntu
```
git clone https://github.com/coneypo/Dlib_face_recognition_from_camera
```
进行 face register / 人脸信息采集录入
```
python3 get_face_from_camera.py
```
提取所有录入人脸数据存入 features_all.csv
```
python3 get_features_into_CSV.py
```
调用摄像头进行实时人脸识别
```
python3 face_reco_from_camera.py
```

Python 源码介绍如下:

get_face_from_camera.py:

进行 Face register / 人脸信息采集录入
- 请注意存储人脸图片时，矩形框不要超出摄像头范围，要不然无法保存到本地;
- 超出会有 "out of range" 的提醒;
get_features_into_CSV.py:

从上一步存下来的图像文件中，提取人脸数据存入CSV;
- 会生成一个存储所有特征人脸数据的 "features_all.csv"；
- size: n*128 , n means n people you registered and 128 means 128D features of the face
face_reco_from_camera.py:

这一步将调用摄像头进行实时人脸识别; / This part will implement real-time face recognition;
- Compare the faces captured from camera with the faces you have registered which are saved in "features_all.csv"
- 将捕获到的人脸数据和之前存的人脸数据进行对比计算欧式距离, 由此判断是否是同一个人;

Tips:

For more details, please refer to my blog (in chinese) or mail to me /

可以访问我的博客获取本项目的更详细介绍，如有问题可以邮件联系我:

仅限于交流学习, 商业合作勿扰;

Thanks for your support.