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Attendance System

Setup

  • Make sure you have the client code as well in a separate repository!

Libraries Used

  • gevent
  • Flask_HTTPAuth
  • face_recognition
  • Flask
  • flask_migrate

Instructions to install the Face Recognition Library

  • Make sure you have dlib installed with Python Bindings

  • To install dlib, make sure you have Python 3 pre-installed. This is usually built-in for Linux.

  • After that run the following commands on your terminal.

sudo apt-get install -y --fix-missing \
    build-essential \
    cmake \
    gfortran \
    git \
    wget \
    curl \
    graphicsmagick \
    libgraphicsmagick1-dev \
    libatlas-dev \
    libavcodec-dev \
    libavformat-dev \
    libgtk2.0-dev \
    libjpeg-dev \
    liblapack-dev \
    libswscale-dev \
    pkg-config \
    python3-dev \
    python3-numpy \
    software-properties-common \
    zip \
&& apt-get clean && rm -rf /tmp/* /var/tmp/*

cd ~ && \
    mkdir -p dlib && \
    git clone -b 'v19.9' --single-branch https://github.com/davisking/dlib.git dlib/ && \
    cd  dlib/ 

mkdir build; cd build; cmake .. -DDLIB_USE_CUDA=0 -DUSE_AVX_INSTRUCTIONS=1; cmake --build .
cd ..
python3 setup.py install --yes USE_AVX_INSTRUCTIONS --no DLIB_USE_CUDA

Using Virtual Environment

  • It is preferable to use a Virtual Environment rather than use your core Python Environment. Run the following instructions in the terminal to create and install all dependencies in the Virtual Environment.
virtualenv venv
pip install -r requirements.txt
source venv/bin/activate
  • After installing the dependencies all you need to do is start the server to get your code running. To start the server, you can run the following command:
python server.py

Contributors

The Project is created and maintained by

Documentation

Kindly look at our Wiki to know more information about the Project Documentation.