Smart Detect: Pose and Movement Analysis

smart_detect is a Python package that uses OpenCV and Mediapipe to detect poses, analyze joint angles, and monitor irregular movements. It can be used for applications like posture correction, exercise tracking, and more.

Features

• Detects body poses in real time using Mediapipe.
• Calculates joint angles (e.g., knees) for movement analysis.
• Alerts users about irregular movements based on thresholds.

Installation

Install the package using pip:

bash pip install smart_detect

Usage

Here's a quick example to start tracking movement:

from smart_detect import start_tracking

start_tracking()

Parameters for start_tracking

irregular_threshold (int, default=15): Number of consecutive frames of irregular movement required to trigger an alert. normal_threshold (int, default=15): Number of consecutive frames of normal movement required to reset the alert.

Dependencies

OpenCV Mediapipe NumPy

These are automatically installed when you install the package.

Contributing

Feel free to contribute to the project by submitting pull requests or reporting issues on GitHub.

License

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