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# Face Blur | ||
```bash | ||
python demo.py | ||
# Choose: 1) Your own image, 2) Webcam capture, or 3) Test pattern | ||
``` Tool | ||
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A powerful yet simple Python tool for automatically detecting and blurring faces in images, videos, and live webcam feeds. | ||
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## 🚀 Get Started in 2 Minutes! | ||
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### 1. Install | ||
```bash | ||
pip install -r requirements.txt | ||
``` | ||
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### 2. Test | ||
```bash | ||
python demo.py | ||
``` | ||
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### 3. Use | ||
```bash | ||
# Blur a photo | ||
python face_blur.py --input your_photo.jpg | ||
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# Live webcam blur | ||
python face_blur.py --input 0 --mode webcam | ||
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# Process video | ||
python face_blur.py --input video.mp4 --mode video | ||
``` | ||
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That's it! 🎉 | ||
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### More Quick Examples | ||
```bash | ||
# Better quality detection | ||
python face_blur.py --input photo.jpg --method mediapipe | ||
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# Pixelate faces for privacy | ||
python face_blur.py --input photo.jpg --blur-type pixelate | ||
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# Process entire folder | ||
python face_blur.py --input ./photos --mode batch | ||
``` | ||
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**Need Help?** Having issues? Try `python demo.py` first! | ||
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## Features | ||
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- 🔍 **Smart Detection**: Multiple AI methods (Haar Cascades, MediaPipe, DNN) | ||
- 🌊 **Various Blur Effects**: Gaussian, motion blur, and pixelation | ||
- 📸 **Multiple Sources**: Images, videos, webcam, batch processing | ||
- ⚡ **Real-time**: Optimized for live webcam processing | ||
- 🎛️ **Customizable**: Adjustable blur intensity and detection settings | ||
- 🌍 **Cross-platform**: Windows, macOS, Linux | ||
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## Usage Examples | ||
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### Images | ||
```bash | ||
# Basic image processing | ||
python face_blur.py --input selfie.jpg --mode image | ||
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# High quality with MediaPipe | ||
python face_blur.py --input photo.jpg --method mediapipe | ||
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# Custom blur effect | ||
python face_blur.py --input photo.jpg --blur-type pixelate --blur-intensity 25 | ||
``` | ||
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### Videos | ||
```bash | ||
# Process video file | ||
python face_blur.py --input family_video.mp4 --mode video | ||
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# Custom output location | ||
python face_blur.py --input video.mp4 --mode video --output blurred_video.mp4 | ||
``` | ||
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### Webcam | ||
```bash | ||
# Live webcam blur | ||
python face_blur.py --input 0 --mode webcam | ||
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# Save webcam session | ||
python face_blur.py --input 0 --mode webcam --save-webcam | ||
``` | ||
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### Batch Processing | ||
```bash | ||
# Process all images in folder | ||
python face_blur.py --input ./photos --mode batch --output ./blurred_photos | ||
``` | ||
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## Options | ||
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| Parameter | Description | Default | Options | | ||
|-----------|-------------|---------|---------| | ||
| `--input` | Input file/directory/camera | Required | File path, directory, or `0` for webcam | | ||
| `--mode` | Processing mode | `image` | `image`, `video`, `webcam`, `batch` | | ||
| `--method` | Detection method | `haar` | `haar`, `mediapipe`, `dnn` | | ||
| `--blur-type` | Blur effect type | `gaussian` | `gaussian`, `motion`, `pixelate` | | ||
| `--blur-intensity` | Blur strength | `21` | Any odd number | | ||
| `--output` | Output location | Auto | File/directory path | | ||
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## Detection Methods | ||
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- **Haar Cascades** (`haar`) - Fast, lightweight, good for real-time | ||
- **MediaPipe** (`mediapipe`) - Modern AI, very accurate and fast | ||
- **DNN** (`dnn`) - Deep learning, highest accuracy (requires model download) | ||
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## Blur Types | ||
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- **Gaussian** - Smooth, natural blur | ||
- **Motion** - Simulates camera movement | ||
- **Pixelate** - Reduces resolution for privacy | ||
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## Requirements | ||
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- opencv-python>=4.8.0 | ||
- numpy>=1.21.0 | ||
- mediapipe>=0.10.0 | ||
- argparse | ||
- pathlib | ||
- MediaPipe (optional, for better accuracy) |
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#!/usr/bin/env python3 | ||
""" | ||
Face Blur Demo | ||
============== | ||
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Simple demonstration of the face blurring tool. | ||
Run this to test the functionality quickly! | ||
""" | ||
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import cv2 | ||
import numpy as np | ||
import os | ||
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def get_demo_image(): | ||
"""Get a demo image from user input or create a simple one.""" | ||
print("📸 Choose your demo option:") | ||
print("1. Use your own image (recommended)") | ||
print("2. Use webcam to capture a photo") | ||
print("3. Create a simple test pattern") | ||
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try: | ||
choice = input("Enter choice (1/2/3): ").strip() | ||
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if choice == "1": | ||
# User provides image | ||
image_path = input("Enter path to your image: ").strip().strip('"') | ||
if os.path.exists(image_path): | ||
img = cv2.imread(image_path) | ||
if img is not None: | ||
# Copy to demo location | ||
cv2.imwrite("demo_face.jpg", img) | ||
print(f"✔️ Using your image: {image_path}") | ||
return True | ||
else: | ||
print("✖️ Could not read the image file") | ||
else: | ||
print("✖️ File not found") | ||
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elif choice == "2": | ||
# Capture from webcam | ||
return capture_from_webcam() | ||
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elif choice == "3": | ||
# Create test pattern | ||
return create_test_pattern() | ||
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except KeyboardInterrupt: | ||
print("\nDemo cancelled by user") | ||
return False | ||
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# Fallback to test pattern | ||
print("⚠️ Falling back to test pattern...") | ||
return create_test_pattern() | ||
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def capture_from_webcam(): | ||
"""Capture a photo from webcam for demo.""" | ||
try: | ||
print("📷 Opening webcam... Press SPACE to capture, ESC to cancel") | ||
cap = cv2.VideoCapture(0) | ||
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if not cap.isOpened(): | ||
print("✖️ Could not open webcam") | ||
return False | ||
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while True: | ||
ret, frame = cap.read() | ||
if not ret: | ||
print("✖️ Failed to read from webcam") | ||
break | ||
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# Show preview | ||
cv2.putText(frame, "Press SPACE to capture, ESC to cancel", (10, 30), | ||
cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 255, 0), 2) | ||
cv2.imshow('Webcam - Demo Capture', frame) | ||
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key = cv2.waitKey(1) & 0xFF | ||
if key == 32: # SPACE key | ||
cv2.imwrite("demo_face.jpg", frame) | ||
print("Photo captured for demo!") | ||
cap.release() | ||
cv2.destroyAllWindows() | ||
return True | ||
elif key == 27: # ESC key | ||
break | ||
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cap.release() | ||
cv2.destroyAllWindows() | ||
return False | ||
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except Exception as e: | ||
print(f"✖️ Webcam capture failed: {e}") | ||
return False | ||
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def create_test_pattern(): | ||
"""Create a simple test pattern as fallback.""" | ||
print("Creating test pattern...") | ||
img = np.ones((400, 600, 3), dtype=np.uint8) * 240 | ||
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# Draw a simple face that's more likely to be detected | ||
center = (300, 200) | ||
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# Face oval | ||
cv2.ellipse(img, center, (80, 100), 0, 0, 360, (200, 180, 160), -1) | ||
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# Eyes (larger and more prominent) | ||
cv2.ellipse(img, (270, 180), (15, 8), 0, 0, 360, (50, 50, 50), -1) | ||
cv2.ellipse(img, (330, 180), (15, 8), 0, 0, 360, (50, 50, 50), -1) | ||
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# Eye pupils | ||
cv2.circle(img, (270, 180), 5, (0, 0, 0), -1) | ||
cv2.circle(img, (330, 180), 5, (0, 0, 0), -1) | ||
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# Nose | ||
points = np.array([[300, 200], [295, 215], [305, 215]], np.int32) | ||
cv2.fillPoly(img, [points], (150, 120, 100)) | ||
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# Mouth | ||
cv2.ellipse(img, (300, 240), (20, 10), 0, 0, 180, (100, 50, 50), 3) | ||
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# Hair | ||
cv2.ellipse(img, (300, 120), (90, 40), 0, 0, 180, (100, 80, 60), -1) | ||
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cv2.imwrite("demo_face.jpg", img) | ||
print("Test pattern created") | ||
return True | ||
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def quick_demo(): | ||
"""Run a quick demo of the face blurring tool.""" | ||
print("Face Blur Tool - Quick Demo") | ||
print("=" * 35) | ||
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# Get demo image from user | ||
if not get_demo_image(): | ||
print("✖️ Could not get demo image. Exiting...") | ||
return | ||
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# Try to import and use the main tool | ||
try: | ||
from face_blur import FaceBlurrer | ||
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# Test with different methods | ||
methods = ['haar', 'mediapipe'] | ||
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print("\n Testing face detection methods...") | ||
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for method in methods: | ||
try: | ||
print(f" Testing {method}...") | ||
blurrer = FaceBlurrer(method=method, blur_type='gaussian', blur_intensity=25) | ||
success = blurrer.process_image("demo_face.jpg", f"demo_blurred_{method}.jpg") | ||
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if success: | ||
print(f"✔️ {method} method worked!") | ||
else: | ||
print(f"⚠️ {method} method had issues") | ||
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except Exception as e: | ||
print(f"✖️ {method} method failed: {e}") | ||
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print(f"\n🎉 Demo completed! Check the generated images.") | ||
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# Ask about webcam test | ||
try: | ||
response = input("\n📹 Want to test with webcam? (y/n): ").lower() | ||
if response == 'y': | ||
print("🚀 Starting webcam demo... Press 'q' to quit!") | ||
blurrer = FaceBlurrer(method='haar', blur_type='gaussian', blur_intensity=21) | ||
blurrer.process_webcam() | ||
except KeyboardInterrupt: | ||
print("\n Demo stopped by user") | ||
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except ImportError as e: | ||
print(f"✖️ Could not import face_blur module: {e}") | ||
print(" Make sure face_blur.py is in the same directory!") | ||
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def main(): | ||
"""Main demo function.""" | ||
quick_demo() | ||
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if __name__ == "__main__": | ||
main() |
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