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Project Description Face Recognition and Emotion Detection This project leverages OpenCV and DeepFace to perform real-time face recognition and emotion detection using a webcam. It captures video frames, detects faces, and analyzes the emotions of the detected faces, displaying the dominant emotion on the screen.

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Face Recognition and Emotion Detection

This project uses OpenCV and DeepFace to perform face recognition and emotion detection in real-time using your webcam.

Prerequisites

Before you begin, ensure you have met the following requirements:

  • You are using a system with Python 3 installed.
  • You have internet access to install required packages.

Setup

1. Create and Activate a Virtual Environment

It is recommended to use a virtual environment to manage project dependencies.

macOS and Linux:

python3 -m venv face_env
source face_env/bin/activate

Windows

python3 -m venv face_env
face_env\Scripts\activate
pip3 install opencv-python deepface tf-keras
python3 face.py

Save this content to a file named README.md in your project directory. This README file provides a comprehensive guide to setting up, running, and troubleshooting your face recognition and emotion detection project.

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Project Description Face Recognition and Emotion Detection This project leverages OpenCV and DeepFace to perform real-time face recognition and emotion detection using a webcam. It captures video frames, detects faces, and analyzes the emotions of the detected faces, displaying the dominant emotion on the screen.

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