ihpolash/nid-ocr-face-recognition

face_recognition

There are 2 apis for Face Enrollment & Face Recognition:

1. Face Enrollment api endpoint: /api/v1/face_enrollment
2. Face Recognition api endpoint: /api/v1/face_detect

How to deploy:

1. Clone the git repo:

   git clone https://github.com/ihpolash/face_recognition.git

2. Create venv for the project & activate the environment:

   "virtualenv /opt/env" or "python3 -m venv env" source /opt/env/bin/activate

3. Install all the dependencies:

   pip3 install -r requirements.txt

4. Before starting the Django development server, you can check your Django project for potential problems:

   cd face_recognition/ python manage.py check

5. Make Gunicorn configuration:

   Create config directory

   mkdir -pv config/gunicorn/

   Next, open a development configuration file, config/gunicorn/dev.py, and add the following:

    """Gunicorn *development* config file"""
    # Django WSGI application path in pattern MODULE_NAME:VARIABLE_NAME
    wsgi_app = "face_detect.wsgi:application"
    # The granularity of Error log outputs
    loglevel = "debug"
    # The number of worker processes for handling requests
    workers = 2
    # The socket to bind
    bind = "0.0.0.0:8000"
    # Restart workers when code changes (development only!)
    reload = True
    # Write access and error info to /var/log
    accesslog = errorlog = "/var/log/gunicorn/dev.log"
    # Redirect stdout/stderr to log file
    capture_output = True
    # PID file so you can easily fetch process ID
    pidfile = "/var/run/gunicorn/dev.pid"
    # Daemonize the Gunicorn process (detach & enter background)
    daemon = True
   

   Next, make sure that log and PID directories exist for the values set in the Gunicorn configuration file above:

    >> sudo mkdir -pv /var/{log,run}/gunicorn/
   

   With that out of the way, you can start Gunicorn using the -c flag to point to a configuration file from your project root:

    >> gunicorn -c config/gunicorn/dev.py
   

   Just as before, you can now monitor the output file to see the output logged by Gunicorn:

    >> tail -f /var/log/gunicorn/dev.log