{"id":19654103,"url":"https://github.com/mustafaozvardar/faceapp","last_synced_at":"2026-06-13T11:31:13.052Z","repository":{"id":252814861,"uuid":"776039734","full_name":"mustafaozvardar/faceapp","owner":"mustafaozvardar","description":"This is a real-time face recognition application built with Python using the face_recognition library and OpenCV. 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It can recognize and label faces from a video stream captured by your webcam.\n\n## Features ✨\n\n- 📷 Captures video from your webcam in real-time.\n- 🧠 Recognizes and labels faces using pre-trained images.\n- 🚀 Displays the video feed with recognized faces highlighted and labeled.\n\n## Requirements 📦\n\n- Python 3.x\n- `opencv-python` library\n- `face_recognition` library\n- A working webcam\n\n## Installation 🚀\n\n1. Clone the repository:\n\n    ```bash\n    git clone https://github.com/yourusername/face-recognition-app.git\n    cd face-recognition-app\n    ```\n\n2. Install the required libraries:\n\n    ```bash\n    pip install opencv-python face_recognition\n    ```\n\n3. Place the known images in the specified directory:\n\n    - Ensure your images are correctly named and located in the right path as indicated in the script.\n\n## Usage 🎤\n\n1. Prepare your known faces:\n\n    - Store images of the individuals you want to recognize in the designated folder.\n    - Update the script with the correct file paths to these images.\n\n2. Run the script:\n\n    ```bash\n    python face_recognition_app.py\n    ```\n\n3. The application will start capturing video from your webcam. Faces recognized from the known images will be labeled with their names.\n\n4. To stop the application, press the `q` key.\n\n## License 📜\nThis project is licensed under the MIT License - see the LICENSE file for details.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmustafaozvardar%2Ffaceapp","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmustafaozvardar%2Ffaceapp","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmustafaozvardar%2Ffaceapp/lists"}