https://github.com/rishraks/face_detection_anonymizer

The Face Detection and Anonymizer is a Python-based tool using OpenCV and Mediapipe to detect faces in real-time from a video stream. It allows users to toggle features like drawing bounding boxes around faces or anonymizing them with blur effects, ensuring privacy while showcasing efficient computer vision capabilities.
https://github.com/rishraks/face_detection_anonymizer

computer-vision mediapipe opencv-python

Last synced: 13 days ago
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The Face Detection and Anonymizer is a Python-based tool using OpenCV and Mediapipe to detect faces in real-time from a video stream. It allows users to toggle features like drawing bounding boxes around faces or anonymizing them with blur effects, ensuring privacy while showcasing efficient computer vision capabilities.

• Host: GitHub
• URL: https://github.com/rishraks/face_detection_anonymizer
• Owner: rishraks
• License: mit
• Created: 2024-12-14T06:57:01.000Z (21 days ago)
• Default Branch: main
• Last Pushed: 2024-12-14T07:04:29.000Z (21 days ago)
• Last Synced: 2024-12-14T07:27:31.854Z (21 days ago)
• Topics: computer-vision, mediapipe, opencv-python
• Language: Python
• Homepage:
• Size: 0 Bytes
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Face Detection and Anonymizer

A Python-based real-time face detection and anonymization tool using OpenCV and Mediapipe. The program detects faces in a video stream, allows users to draw bounding boxes, and blur faces for anonymization.

---

## Features

- **Real-time Face Detection**: Detects faces from webcam input using Mediapipe's Face Detection API.

- **Bounding Box Toggle**: Draws a rectangle around detected faces when toggled.

- **Face Anonymization**: Blurs the detected face areas to ensure privacy.

- **User-Controlled Actions**: Toggle features dynamically with keyboard inputs.

---

## Requirements

Ensure you have the following installed before running the project:

- Python 3.7 or higher

- OpenCV

- Mediapipe

To install the required Python packages, run:

```bash

pip install opencv-python mediapipe

```

## How to use

1. Clone or download this repository.

2. Run the main.py file:

```bash

python video.py

```

3. Use the following keyboard inputs during runtime:

- Press d to toggle the face bounding box.

- Press b to toggle face blurring.

- Press q to quit the program.

## Customization

- Adjust the blur intensity by changing the kernel size in the cv2.blur() function.

- Modify the confidence threshold in min_detection_confidence for more precise face detection.

## License

This project is licensed under the MIT License. Feel free to use, modify, and distribute it.