Topic

얼굴 인식 전자 출결 시스템

Team

• 정해갑(컴퓨터공학과, 2014104149)
• 허진호(컴퓨터공학과, 2014104161)

Hardware

• server: IBM Cloud(2 vCPU | 4 GB | Ubuntu 18.04.4 LTS)
  
• client: (i7-7700HQ | 16 GB | Windows)
  

License

• pytorch(https://github.com/pytorch/pytorch)
• facenet(https://github.com/davidsandberg/facenet)
• facenet-pytorch(https://github.com/timesler/facenet-pytorch)
• VGGFace2(http://www.robots.ox.ac.uk/~vgg/data/vgg_face2)
• NodeJS(https://nodejs.org)
• OpenCV(https://opencv.org)
• MySQL(https://www.mysql.com)
• PyMySQL(https://github.com/PyMySQL/PyMySQL)

Usage

Server

Configuration

• uri configuration required, uri is in server/server.py
  
• database setting: create database and table with DB/SQL
  

Required

• uri configuration required, uri is in client/client.py, register/register.py
  
• required hardware: upper 2GB memory, upper 3.5GHz CPU or CUDA GPU (for realtime system)
• required software: Python(>3.6.5), MySQL
  
• required python module: Pytorch, OpenCV-python, PyMySQL
  
• python3 server/server.py & npm start --prefix webserver/myapp &
  

Client

Configuration

• uri configuration required, uri is in client/client.py, register/register.py
  

required

• required hardware: webcam
• required software: Python
• required python module: Pytorch, OpenCV-python
  
• execute register/register.py
  
• execute client/client.py