I turned my gesture calculator hobby project into a pip package — so you can detect and use hand gestures in your project in just 3 lines of Python code

The article describes how a developer turned their gesture-controlled calculator hobby project into a pip package called `mp-gesture-lib`, which allows users to add hand gesture recognition to their Python projects with just three lines of code. The library, built using MediaPipe, includes a bundled zero-configuration model, supports custom model files, and detects gestures from any BGR webcam frame. The package is available for installation via pip, with documentation and source code hosted on GitHub.

Built a gesture-controlled calculator a while back using MediaPipe. Extracted the detection logic into a standalone library so anyone can add gesture recognition to their project without touching CV code. python from mp gesture lib import GestureDetector detector = GestureDetector bundled model, zero config result = detector.detect frame pass any BGR webcam frame print result.gesture, result.confidence What it detects out of the box: - Finger count 1–10 geometry-based, no ML - Math ops: plus, minus, multiply, divide, equal, clear ML model, bundled - Two-hand rules for plus/multiply landmark geometry - Returns "unknown" cleanly when nothing matches Custom model support — drop your own .task file, it's checked first. Bundled model is fallback. Any label passes through raw, no hard-coded mapping. pip install mp-gesture-lib 📖 Docs: debabratasaha-dev.github.io/mp-gesture-lib-package https://debabratasaha-dev.github.io/mp-gesture-lib-package 🐙 GitHub: github.com/debabratasaha-dev/mp-gesture-lib-package https://github.com/debabratasaha-dev/mp-gesture-lib-package Feedback welcome — especially on the gesture pipeline priority logic. If you find it useful, I’d really appreciate a ⭐️ on GitHub