pyw-cv 👁️

Computer vision bundle for the pythonWoods ecosystem.

Components

Philosophy

• Lightweight CV – OpenCV wrapper con API moderne e type-safe.
• Real-time ready – motion detection, object tracking, streaming.
• Modular design – usa solo i moduli vision che ti servono.
• No heavy deps by default – OpenCV, PyTorch, TensorFlow sono extra/optional.

Installation (nothing to use yet)

pip install pyw-cv

Questo installerà automaticamente:

• pyw-core (namespace comune)
• pyw-vision (utilities per image processing)
• pyw-motion (motion detection algorithms)

Extras per deep learning:

pip install pyw-cv[torch]    # + PyTorch per neural networks
pip install pyw-cv[tf]       # + TensorFlow/Keras
pip install pyw-cv[full]     # tutto incluso

Roadmap

• 👀 pyw-vision: Image processing, filters, transformations
• 🏃 pyw-motion: Motion detection, optical flow, tracking
• 🧠 Integration con modelli pre-trained (YOLO, MediaPipe)
• 📹 Real-time video processing pipeline
• 🎯 Object detection & segmentation helpers

Contributing

1. Fork il repo del modulo che ti interessa (pyw-vision, pyw-motion).
2. Crea virtual-env via Poetry: poetry install && poetry shell.
3. Lancia linter e mypy: ruff check . && mypy.
4. Apri la PR: CI esegue lint, type-check, build.

Felice visione nella foresta di pythonWoods! 🌲👁️

Links utili

Documentazione dev (work-in-progress) → https://pythonwoods.dev/docs/pyw-cv/latest/

Issue tracker → https://github.com/pythonWoods/pyw-cv/issues

Changelog → https://github.com/pythonWoods/pyw-cv/releases

© pythonWoods — MIT License