This Python script monitors the new/ folder for new image files, automatically processes them by removing backgrounds using AI, resizing to 512x512 pixels, and organizing the results.

• Real-time Monitoring: Continuously watches the new/ folder for new image files
• Background Removal: Uses AI-powered background removal with rembg (with fallback)
• Automatic Resizing: Converts images to 512x512 pixel squares with proper centering
• File Organization: Moves processed images to processed/ and originals to old/
• Robust Processing: Falls back to original image if background removal fails
• Supported Formats: JPG, JPEG, PNG, BMP, TIFF, TIF, WEBP

1. Clone or download this repository
2. Create a virtual environment:

   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install dependencies:

   pip install -r requirements.txt

1. Ensure the following folders exist (they will be created automatically if missing):

   • new/ - Place new images here
   • processed/ - Processed stickers will be saved here
   • old/ - Original images will be moved here after processing

2. Run the script:

   python main.py

3. The script will run continuously. Add image files to the new/ folder and they will be automatically processed.

4. To stop the script, press Ctrl+C.

• rembg - AI-powered background removal
• pillow - Image processing
• watchdog - File system monitoring
• onnxruntime - Required by rembg for AI inference

If you encounter a ModuleNotFoundError for onnxruntime, try installing it separately:

pip install onnxruntime

stikers/
├── main.py              # Main script
├── requirements.txt     # Python dependencies
├── README.md           # This file
├── AGENTS.md           # Development guidelines
├── .gitignore          # Git ignore rules
├── new/                # Input folder (monitor this)
├── processed/          # Output folder (processed stickers)
└── old/                # Archive folder (original images)

This project is open source. Feel free to use and modify as needed.