A Python tool for detecting cars in images and removing their backgrounds. This tool uses YOLOv8 for car detection and rembg for background removal.

• Car detection using YOLOv8
• Background removal using rembg
• Support for multiple image formats (JPG, JPEG, PNG)
• Automatic gradient background generation
• Batch processing of multiple images

1. Clone the repository:

git clone https://github.com/yourusername/car_image_cleaner.git
cd car_image_cleaner

2. Create and activate 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. Place your images in the input directory
2. Run the script:

python src/image_cleaner.py

3. Find the processed images in the output directory

car_image_cleaner/
├── input/              # Input images directory
├── output/             # Output images directory
├── src/                # Source code
│   ├── image_cleaner.py    # Main implementation
│   └── v2/                 # Version 2 (in development)
├── tests/              # Test files
├── requirements.txt    # Project dependencies
└── README.md          # This file

• opencv-python>=4.8.1
• ultralytics>=8.0.0
• rembg>=2.0.0
• numpy>=1.24.0
• pillow>=10.0.0
• pytest>=7.4.0
• black>=23.7.0
• flake8>=6.1.0
• python-dotenv>=1.0.0

1. Fork the repository
2. Create a feature branch
3. Commit your changes
4. Push to the branch
5. Create a Pull Request

This project is licensed under the MIT License - see the LICENSE file for details.

• YOLOv8 for car detection
• rembg for background removal
• OpenCV for image processing