mp-gesture-lib 1.0.2

Plug-and-play hand gesture recognition module built on MediaPipe and OpenCV

MP-Gesture-Lib

A plug-and-play hand gesture recognition module built on MediaPipe and OpenCV.
Detect gesture names + confidence from a webcam frame in one function call.

📖 Full Documentation →

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Install

pip install mp-gesture-lib

Requires Python >= 3.8 Bundled model included — no external files needed. (check mediapipe support for your python version)

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Quick Start

import cv2
from mp_gesture_lib import GestureDetector

detector = GestureDetector()  # zero-config

cap = cv2.VideoCapture(0)
while cap.isOpened():
    ok, frame = cap.read()
    result = detector.detect(frame)

    print(result.gesture)     # "plus", "3", "minus", "unknown" …
    print(result.confidence)  # 0.0 – 1.0

    cv2.imshow("Gestures", result.annotated_frame)
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

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Supported Gestures

Gesture	Returns
Numbers 1 – 10	"1" – "10"
Arithmetic ops	"plus" "minus" "multiply" "divide"
Calculator	"equal" "clear" "0"
Nothing / unrecognised	"unknown"

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Custom Model

# Your model checked first — bundled used as fallback
detector = GestureDetector(model_path="my_gestures.task")

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Acknowledgements

• MediaPipe — hand tracking & gesture recognition
• OpenCV — image & video processing

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License

MIT © Debabrata Saha
See LICENSE for details.