Photographic Classroom Attendance System made for 4th semester B.Tech Project under the guidance of Prof. Anand Mishra
- Navigate to the cloned repository.
cd cls_atd
-
Download the LightCNN-29 v2 model of LightCNN and place it in
src/api/LightCNN -
Set up and activate a virtual environment
sudo apt-get install -y python3-venv
python3 -m venv env
source env/bin/activate
- Use pip to install other dependencies from
requirements.txt
pip install -r requirements.txt
- Navigate to
srcfolder
cd src
- Make database Migrations
python manage.py makemrations
python manage.py migrate
- Run the backend server
python manage.py runserver --nothreading --noreload
The backend must now be running on localhost:8000
Note: npm must be installed in the computer
- In a new terminal window navigate to
frontendfolder
cd frontend
- Install dependencies from
package.json
npm install
- Run development server
npm run serve
The frontend of the application must now be running at localhost:8080