Welcome to FaceDetectionApp, an advanced face detection application powered by artificial intelligence. Leveraging the capabilities of the OpenCV library, FaceDetectionApp provides users with the ability to detect faces in images, videos, and real-time through a webcam. This intuitive application is designed for users seeking a reliable and efficient tool for face detection tasks.
- Image Face Detection: Detect faces within any static image file.
- Video Face Detection: Analyze video files to detect faces frame by frame.
- Live Webcam Detection: Real-time face detection using your computer's webcam.
To get started with FaceDetectionApp, ensure you have Python and OpenCV installed on your system. This application relies on the OpenCV library (cv2) and utilizes haarcascade_frontalface_default.xml for accurate face detection.
- Python 3
- OpenCV library
To install OpenCV, run the following command:
pip install opencv-python
Clone the repository or download the source code:
git clone https://github.com/FaybianB/FaceDetectionApp.git
Navigate to the downloaded directory:
cd FaceDetectionApp
The application is now ready to use.
FaceDetectionApp can be used in three modes: image face detection, video face detection, and live webcam detection.
To detect faces in an image file, run the following command:
python3 image_face_detector.py <path to image file>
NOTE: Replace <path to image file> with the actual path to your image.
To detect faces in a video file, execute the following command:
python3 video_face_detector.py <path to video file>
Ensure to replace <path to video file> with the path to your video file.
For real-time face detection using your webcam, use:
python3 webcam_face_detector.py
This will activate your webcam and start detecting faces in real-time.
This application uses the following key library and resource:
- OpenCV (cv2): For processing and analyzing images and videos.
- Haar Cascade Classifier: Utilizes
haarcascade_frontalface_default.xmlfor detecting faces in various inputs.
FaceDetectionApp is open-sourced under the MIT License. See the LICENSE file for more details.
For support, feature requests, or bug reporting, please open an issue on this repository.
Enjoy using FaceDetectionApp for all your face detection needs! Your feedback and contributions are highly appreciated.