A versatile collection of Python tools and design patterns for AI, computer vision, and modern Python development. This repo serves as a reference library, learning playground, and launchpad for smarter, reusable code.
- 🧠 AI & Vision Tasks: frame processing, webcam pipelines, thresholding, etc.
- 🧱 OOP Design: reusable classes,
self-powered pipelines, method maps - 🧪 Efficient Python: lambdas, partials, argparse-based CLIs, directory tools
Grayscale → Blur → Canny Edge Detection in real time.
python main.py --steps gray blur canny
def build_pipeline(self, steps):
step_map = {
"gray": self.do_gray,
"blur": lambda f: self.do_blur(f, (3, 3)),
"canny": lambda f: self.do_canny(f, 50, 150),
}
return [step_map[name] for name in steps if name in step_map]
🤝 Installation
git clone https://github.com/yourusername/python-toolbox.git
cd python-toolbox
pip install -r requirements.txt
python main.py --steps gray blur canny
🤝 Contributing
Have a useful snippet, vision trick, or structural pattern to share? PRs and issues are welcome.
📜 License
MIT License — use freely, build boldly.
💡 Author Notes
This repo focuses on readable, modular, and production-friendly Python for real-world computer vision pipelines. Designed to grow with you.
├── Mathematics
├── Webcam-Class
│ ├── Packaged
│ │ ├── camera_edge
│ ├── Standalones
│ │ ├── Basic
│ │ ├── Moderate
│ │ ├── Pipeline
│ └── readme.txt
├── bonsai.py
├── readme.md
└── tree.py