MStudio 0.1.0

A motion capture marker data visualization and editing tool

MStudio

A comprehensive toolkit for editing and managing 2D and 3D markers in motion capture and biomechanical studies. Designed to be compatible with Pose2Sim, and Sports2D, providing seamless integration for marker data processing and analysis.

Note: This is an initial release. Automated tests are minimal and only basic smoke tests are included. More comprehensive tests will be added in future updates.

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📦 Installation

PyPI (recommended):

pip install mstudio

From source:

git clone https://github.com/hunminkim98/MStudio.git
cd MStudio
pip install .

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🚀 Quick Start

The Easiest Way to Run MStudio (Recommended!)

Just open your terminal in the project root folder (where you see both README.md and the MStudio/ directory) and run:

python -m MStudio.main

That's it! This is the safest way to launch the app.

Heads up! If you try to run main.py directly (like python MStudio/main.py), you might get an error like: ModuleNotFoundError: No module named 'MStudio' To avoid this, always use the command above from the root folder.

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Want to Run main.py Directly?

If you're actively developing and want to quickly test changes, you can add these lines at the very top of MStudio/main.py:

import sys, os
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))

Now you can run:

python MStudio/main.py

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📚 Documentation & Support

• Issue Tracker

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Features

🎯 3D Marker Visualization

• Interactive 3D viewport with real-time marker display

• Customizable marker colors and sizes (TODO)

• Toggle marker labels visibility

• Coordinate system switching (Z-up/Y-up)

• Zoom and pan controls

🦴 Skeleton

• Multiple pre-defined skeleton models:

  • BODY_25B
  • BODY_25
  • BODY_135
  • BLAZEPOSE
  • HALPE (26/68/136)
  • COCO (17/133)
  • MPII

• Toggle skeleton visibility

• Color-coded connections for outlier detection

📊 Data Analysis Tools

• Marker trajectory visualization
• Multi-axis coordinate plots
• Frame-by-frame navigation
• Timeline scrubbing with time/frame display modes
• Outlier detection and highlighting

🔧 Data Processing

• Multiple filtering options:
  • Butterworth filter
  • Butterworth on speed
  • Median filter
• Customizable filter parameters
• Pattern-based marker interpolation
• Interactive data selection and editing

💾 File Operations

• Import TRC/C3D files
• Export to TRC/C3D files
• Original data preservation