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IP Security Camera Management Backend with Django

This Django backend application is designed to manage IP security cameras, facial recognition and handle API calls, particularly for processing Real-Time Streaming Protocol (RTSP) streams.

Getting Started

Setting up the Virtual Environment

To ensure a clean and isolated environment, create and activate a virtual environment using the following commands:

python -m venv venv
venv\Scripts\activate.bat

Installing Project Dependencies

Install the necessary project dependencies by running the command:

pip install -r requirements.txt

Setting Up Redis via WSL

Redis is not officially supported on Windows, but you can install it through the Windows Subsystem for Linux (WSL). Here are the steps to get Redis running on WSL:

  1. Enable WSL2

    Microsoft provides detailed instructions for installing WSL. You can follow this guide here and take note of the default Linux distribution it installs. This guide assumes the default distribution to be Ubuntu.

  2. Install Redis on WSL

    Once you're running Ubuntu on Windows, follow the steps below to install recent stable versions of Redis from the official packages.redis.io APT repository:

    curl -fsSL https://packages.redis.io/gpg | sudo gpg --dearmor -o /usr/share/keyrings/redis-archive-keyring.gpg

echo "deb [signed-by=/usr/share/keyrings/redis-archive-keyring.gpg] https://packages.redis.io/deb $(lsb_release -cs) main" | sudo tee /etc/apt/sources.list.d/redis.list

sudo apt-get update
sudo apt-get install redis

  3. Start the Redis Server

    Start the Redis server using the following command:

    sudo service redis-server start

  4. Connect to Redis

    You can test that your Redis server is running by connecting with the Redis CLI:

    redis-cli 
127.0.0.1:6379> ping
PONG

Make Django migrations

python manage.py makemigrations
python manage.py migrate

Running the Development Server

Redis is required for the server to run properly. After installing the dependencies, you can start the development server using the command:

python manage.py runserver