Face Blurring Tool #469
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Face Blurring Tool #469
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Pull Request Overview
This PR introduces a comprehensive face blurring tool that automatically detects and blurs faces in images, videos, and live webcam feeds using multiple AI detection methods. The tool provides real-time processing capabilities with customizable blur effects and supports batch processing operations.
Key changes include:
- Implementation of a complete face detection and blurring system with multiple AI methods (Haar Cascades, MediaPipe, DNN)
- Interactive demo script for testing functionality with various input sources
- Comprehensive documentation with quick start guide and usage examples
Reviewed Changes
Copilot reviewed 3 out of 3 changed files in this pull request and generated 7 comments.
| File | Description |
|---|---|
| Face Blurring Tool/face_blur.py | Main tool implementation with FaceBlurrer class, multiple detection methods, and CLI interface |
| Face Blurring Tool/demo.py | Interactive demonstration script with webcam capture and test pattern generation |
| Face Blurring Tool/README.md | Complete documentation with installation instructions and usage examples |
Co-authored-by: Copilot <[email protected]>
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Face Blurring Tool - AI-Powered Privacy Protection with Real-time Processing
Summary
Added a comprehensive face blurring tool that automatically detects and blurs faces in images, videos, and live webcam feeds using multiple AI detection methods (Haar Cascades, MediaPipe, DNN). The tool provides an easy-to-use interface with customizable blur effects and supports batch processing.
Description
This PR introduces a professional-grade face blurring tool designed for privacy protection and content moderation. The tool combines multiple computer vision techniques to provide accurate face detection with various blur effects.
The changes are as follows:
face_blur.py- Main comprehensive tool with multiple detection methods and blur typesdemo.py- Interactive demo script for easy testing with real images, webcam capture, or test patternsrequirements.txt- All necessary dependencies (OpenCV, MediaPipe, NumPy)README.md- Complete documentation with quick start guide and usage examplesChecks
in the repository
Made no changes that degrades the functioning of the repository
Gave each commit a better title (unlike updated README.md)
in the PR
Followed the format of the pull_request_template
Made the Pull Request in a small level
Tested the changes you made
Developer Note:
The face detection sensitivity can be
fine-tunedby modifying the hardcoded confidence values in thedetect_faces_dnnand_init_mediapipe_detectormethods withinface_blur.py.Thank You,
Gulcihan Gulmez