https://github.com/tehran-lancer/face-recognition-with-cv2

https://github.com/tehran-lancer/face-recognition-with-cv2

Last synced: 11 months ago
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• Host: GitHub
• URL: https://github.com/tehran-lancer/face-recognition-with-cv2
• Owner: Tehran-Lancer
• Created: 2024-06-16T12:48:16.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2024-06-19T12:13:19.000Z (about 2 years ago)
• Last Synced: 2024-06-19T22:11:26.513Z (about 2 years ago)
• Language: Python
• Size: 347 KB
• Stars: 3
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          


 



Face Detection Project with OpenCV

This project implements a simple face detection system using the OpenCV (cv2) library in Python. It uses two model files for face detection.



Features :


  
Real-time Face Detection: Detect faces in live video streams.

  
Image Processing: Analyze and detect faces in static images.

  
High Accuracy: Utilizes robust models to ensure high detection accuracy.

  
Scalable: Easy to extend and integrate with other projects.

  
User-Friendly: Simple and clear code structure for easy understanding and modification.




  Prerequisites:



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


  
Python 3.6 or higher


  

  


    Libraries listed in `requirements.txt`

  




  Installation :



Follow these steps to set up the project on your local machine:



1.Clone the repository:


   

    git clone https://github.com/username/face-detection-project.git

    cd face-detection-project

2.Create and activate a virtual environment:


    python3 -m venv venv

    source venv/bin/activate   # On Windows: venv\Scripts\activate

3.Install the required libraries:


    pip install -r requirements.txt

Usage :

1.Place the model files in the `models/` directory.

2.Run the main script:


    python face.py

Follow the on-screen instructions to start detecting faces.

Thanks to the project developer Miss Aram Ghodarzi