DeepFace UI

DeepFace UI is a web application for facial recognition and analysis built with DeepFace. It offers an intuitive interface to upload images, automatically extract faces, and perform state-of-the-art facial verification and attribute analysis.

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Requirements 📦

• Python 3.x
• Dependencies:
  • Flask
  • OpenCV (opencv-python)
  • NumPy
  • Requests
  • DeepFace
  • Werkzeug

Tip: Use a virtual environment to manage dependencies efficiently.

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Installation 🛠️

1. Clone the Repository:

   git clone https://github.com/your-username/deepface-ui.git
   cd deepface-ui

2. Create and Activate a Virtual Environment:

   • Windows:

     python -m venv venv
     venv\Scripts\activate

   • macOS/Linux:

     python3 -m venv venv
     source venv/bin/activate

3. Install the Dependencies:

   pip install flask opencv-python numpy requests deepface werkzeug

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Usage 🚀

Start the application with:

python app.py

Then, open your browser and navigate to http://127.0.0.1:5000/ to begin using DeepFace UI.

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Configuration ⚙️

DeepFace UI is preconfigured with industry-standard settings, but you can easily adjust parameters such as the DeepFace model, distance metric, and detector backend to tailor the analysis to your needs.

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Contributing 🤝

Contributions are welcome! To contribute:

1. Fork the repository.
2. Create a new branch for your changes.
3. Commit with clear, concise messages.
4. Open a pull request for review.