Face recognition from camera
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Introduction
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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
.. image:: introduction/get_face_from_camera.png
:align: center
#. 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:
.. image:: introduction/face_reco_single_person.png
:align: center
当多张人脸 / When multi-faces:
.. image:: introduction/face_reco_two_people.png
:align: center
** 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.
Steps
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#. 进行 face register / 人脸信息采集录入
.. code-block:: python
python3 get_face_from_camera.py
#. 提取所有录入人脸数据存入 features_all.csv
.. code-block:: python
python3 get_features_into_CSV.py
#. 调用摄像头进行实时人脸识别
.. code-block:: python
python3 face_reco_from_camera.py
About Source Code
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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;
More
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Tips:
1. Windows下建议不要把代码放到 ``C:\``, 可能会出现权限读取问题
2. 代码最好不要有中文路径
3. 人脸录入的时候先建文件夹再保存图片, 先 ``N`` 再 ``S``
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:
* Blog: https://www.cnblogs.com/AdaminXie/p/9010298.html
* Mail: coneypo@foxmail.com
仅限于交流学习, 商业合作勿扰;
Thanks for your support.
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