AutoBlurFace

Description

AutoFaceBlur is a Python-based tool designed to enhance privacy and anonymity in video content. Utilizing the advanced capabilities of the YOLO model, AutoFaceBlur efficiently detects faces in real-time within video streams and applies a seamless blurring effect.

Features

• Real-time face detection: Leveraging the YOLO model for accurate and fast detection.
• Face blurring: Enhances privacy by blurring detected faces.
• Compatibility: Works with video files and webcam streams.
• Adjustable blurring intensity: Customize the intensity of the blur effect.
• Output saving: Option to save the processed video output.

Installation

Steps

1. Clone the repository:

   git clone https://github.com/cesaredavidepace/autoblurface.git

2. Navigate to the cloned directory:

   cd AutoBlurFace

3. Install required Python packages:

   pip install -r requirements.txt

4. Download models YoloV8 Face

Basic Usage

from AutoBlurFace import AutoBlurFace

auto_blur_face = AutoBlurFace(
    model_path='yolov8n-face.pt',
    output_video_path='output.mp4',
    show_video=True,
    save_video=True,
    apply_blur=True
)

auto_blur_face.run('face-video.mp4')

Using Webcam

auto_blur_face.run(use_webcam=True)

Acknowledgments

• YOLO and Ultralytics for the face detection model.
• OpenCV community for the image processing tools.