A motion capture marker data visualization and editing tool
Project description
🎯 MStudio
Markerless/Marker-based Motion Capture Data Visualization & Editing Tool
Seamlessly visualize, analyze, and edit 3D marker data from motion capture systems
🚀 Quick Start • 📖 Features • 💾 Installation • 🎮 Usage • 🤝 Support
🌟 What is MStudio?
MStudio is a user-friendly application designed for researchers, biomechanists, and motion capture professionals. It provides an intuitive interface to:
- Visualize 3D marker trajectories in real-time
- Analyze movement patterns and joint&segment angles
- Edit and filter motion capture data
- Export processed data for further analysis
Compatible with popular tools like Pose2Sim and Sports2D.
💾 Installation
Option 1: Install from PyPI (Recommended)
# Create a virtual environment (recommended)
conda create -n mstudio python=3.10 -y
conda activate mstudio
# Install MStudio
pip install mstudio
Option 2: Install from Source
git clone https://github.com/hunminkim98/MStudio.git
cd MStudio
pip install .
🚀 Quick Start
Launch MStudio
mstudio
That's it! The application will open with an intuitive interface ready for your motion capture data.
Load Your First Dataset
- Open File your TRC/C3D file or Choose JSON Folder for 2D marker data
- Play the animation using the spacebar
- Explore your data with mouse controls:
- Left click + drag: Rotate view
- Right click + drag: Pan
- Scroll wheel: Zoom
📖 Features
🎯 3D Visualization
🦴 Skeleton ModelsSupport for multiple skeleton formats:
|
📊 Analysis Tools
🔧 Data Processing
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🎮 Usage
Step-by-Step Tutorial
1. Load Your Data
# Launch MStudio
mstudio
# In the application:
# File → Open → Select your .trc or .c3d file
# Or simply drag & drop your file into the window
2. Basic Navigation
| Action | Control |
|---|---|
| Play/Pause Animation | Spacebar or Enter |
| Stop Animation | Spacebar or Enter or Esc |
| Next/Previous Frame | → / ← Arrow keys |
| Rotate View | Left click + drag |
| Pan View | Right click + drag |
| Zoom | Mouse wheel |
3. Analysis Mode
- Click the "Analysis" button to activate
- Select markers by left-clicking in the 3D view:
- 2 markers: Shows distance measurement and segment angle (relative to virtual horizontal line)
- Left-click to cycle through reference axes (X, Y, Z)
- 3 markers: Shows joint angle (middle marker = vertex)
- 2 markers: Shows distance measurement and segment angle (relative to virtual horizontal line)
- Results display directly in the 3D viewport
4. Data Processing
- Filter data: Use the filter panel to apply Butterworth, median, or speed-based filters
- Interpolate gaps: Select problematic markers and use pattern-based interpolation
- Export results: File → Save As → Choose TRC or C3D format
🤝 Support
Getting Help
- 📖 Documentation: GitHub Wiki (Coming Soon)
- 🐛 Bug Reports: Issue Tracker
- 💬 Discussions: GitHub Discussions
- 📧 Contact: hunminkim98@gmail.com
Contributing
We welcome contributions! Please see our Contributing Guidelines (Coming Soon).
Supported File Formats
- Input: TRC, C3D, JSON
- Output: TRC, C3D
- Skeleton Models: OpenPose, MediaPipe, COCO, HALPE, MPII
🔮 Roadmap
✅ Completed Features
- 3D Visualization: Real-time marker rendering with smooth 60 FPS animation
- Skeleton Support: Multiple skeleton models (OpenPose, MediaPipe, COCO, etc.)
- Analysis Tools: Distance measurement, joint angles, segment angles
- Data Processing: Advanced filtering and interpolation
- File Support: TRC/C3D import/export functionality
🚧 In Development
- Multi-Selection: Drag-and-drop selection for multiple markers
- View Planes: Click-to-set orthogonal views (inspired by OpenSim)
- Customization: Adjustable marker size, color, and opacity
- Performance: Enhanced rendering for large datasets
🎯 Planned Features
- Multi-Person Support: Simultaneous visualization and analysis of multiple subjects
- Analysis Reports: Export comprehensive analysis results to PDF format
- Gait Analysis Mode: Specialized tools and metrics for gait analysis
📄 License
This project is licensed under the MIT License - see the LICENSE file for details.
🙏 Acknowledgments
- Compatible with Pose2Sim and Sports2D
- Built with Python, OpenGL, and CustomTkinter
- Inspired by the biomechanics and motion capture community
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