Real-Time-Face-Recognition

This repository is dedicated to the Project "End-to-End real-time face recognition system"

Usage

Install Dependencies

• Clone the Project Repository to your system

git clone <GITHUB_REPO_URL>

• Go to the Project Directory and Create a Virtual Environment in Python

python -m venv face-recognition-system
source face-recognition-system/bin/activate

pip install requirements.txt

Start the Flask API Server

• Navigate to src/api Folder

python endpoints.py

Note: This will start your Flask API at : http://localhost:5000/
The API has two endpoints (you can test the API using POSTMAN)

• **http://localhost:5000/api/register**(for User FaceID registration)
• http://localhost:5000/api/recognize (for recognizing user given face image)

Start the Interactive UI(Streamlit)

• After Starting the API, We can use the Face Recognition system interactively through streamlit application

• Run the command

streamlit run streamlit_app.py

• Streamlit UI will start at : http://localhost:8501