11 KiB
11 KiB
Frequently Asked Questions (FAQ)
This FAQ addresses the most common questions about NowYouSeeMe. If you can't find your answer here, please check our Troubleshooting Guide or ask the community.
🚀 Getting Started
Q: What is NowYouSeeMe?
A: NowYouSeeMe is a real-time 6DOF holodeck environment that uses commodity laptop cameras and WiFi Channel State Information (CSI) to create immersive, photo-realistic environments. It combines computer vision, RF sensing, and neural rendering for robust spatial mapping and tracking.
Q: What hardware do I need?
A: Minimum requirements:
- Camera: USB camera (720p+ recommended)
- WiFi: Intel 5300 or compatible card with Nexmon support
- GPU: CUDA-capable GPU (NVIDIA GTX 1060+)
- RAM: 8GB+ recommended
- Storage: 10GB+ free space
- OS: Ubuntu 20.04+ or Windows 10+
Q: How do I install NowYouSeeMe?
A: Multiple installation options:
Docker (Recommended):
git clone https://github.com/your-org/NowYouSeeMe.git
cd NowYouSeeMe
docker-compose up -d
PyPI Package:
pip install nowyouseeme[gpu,azure]
nowyouseeme
Manual Installation:
git clone https://github.com/your-org/NowYouSeeMe.git
cd NowYouSeeMe
pip install -e .[dev]
./tools/build.sh
Q: How long does setup take?
A:
- Docker: 5-10 minutes (first time)
- PyPI: 2-5 minutes
- Manual: 10-30 minutes (including dependencies)
🎯 Performance & Accuracy
Q: What performance can I expect?
A: Target performance metrics:
- Latency: <20ms end-to-end
- Accuracy: <10cm spatial fidelity
- Frame Rate: 30-60 FPS
- CSI Rate: ≥100 packets/second
Q: How accurate is the tracking?
A: The system achieves <10cm accuracy through:
- Vision SLAM: Monocular camera tracking
- RF SLAM: WiFi CSI-based localization
- Sensor Fusion: Multi-sensor data fusion
- Neural Enhancement: GPU-accelerated processing
Q: What affects performance?
A: Key factors:
- Hardware: GPU capability, CPU speed, RAM
- Environment: Lighting, WiFi interference, visual features
- Configuration: Processing quality settings
- System Load: Other applications running
Q: How do I optimize performance?
A:
- Hardware: Use dedicated GPU, sufficient RAM
- Environment: Good lighting, minimal WiFi interference
- Settings: Adjust quality vs. performance trade-offs
- System: Close unnecessary applications
🔧 Technical Questions
Q: How does the RF tracking work?
A: The system uses WiFi Channel State Information (CSI) to:
- Capture RF signals from WiFi packets
- Analyze signal patterns for spatial information
- Estimate Angle of Arrival (AoA) for positioning
- Create RF maps of the environment
Q: What cameras are supported?
A: Any camera supported by OpenCV:
- USB cameras: Logitech, Microsoft, generic
- Built-in cameras: Laptop webcams
- Resolution: 720p+ recommended
- Frame rate: 30 FPS minimum
Q: Can I use multiple cameras?
A: Yes, the system supports:
- Multiple USB cameras
- Stereo camera setups
- Multi-camera calibration
- Distributed camera networks
Q: How does the neural rendering work?
A: Neural Radiance Fields (NeRF) provide:
- Photo-realistic rendering from sparse views
- GPU-accelerated processing for real-time performance
- Continuous scene representation without explicit geometry
- High-quality visual output for immersive experiences
🌐 Cloud & Azure Integration
Q: What Azure services are used?
A: The system integrates with:
- Azure Compute: GPU virtual machines
- Azure ML: Machine learning workspace
- Azure Storage: Data storage and caching
- Azure IoT: Device management and monitoring
Q: Is cloud processing required?
A: No, the system works locally, but cloud provides:
- Enhanced GPU resources for complex processing
- Scalable computing for multiple users
- Advanced ML models for better accuracy
- Remote collaboration capabilities
Q: How much does cloud usage cost?
A: Costs depend on usage:
- GPU VMs: $0.50-2.00/hour depending on GPU type
- Storage: $0.02/GB/month
- ML Services: Pay-per-use pricing
- Free tier: Available for development and testing
🎮 Usage & Applications
Q: What can I do with NowYouSeeMe?
A: Applications include:
- VR/AR Development: Real-time 3D environments
- Robotics: SLAM for autonomous navigation
- Gaming: Immersive gaming experiences
- Research: Computer vision and RF sensing research
- Education: Interactive learning environments
Q: Can I export to Unity/Unreal?
A: Yes, the system provides:
- Unity integration via plugins
- Unreal Engine support
- Real-time data streaming to game engines
- Custom export formats for other applications
Q: How do I calibrate the system?
A: Calibration process:
- Camera calibration: Follow on-screen instructions
- RF calibration: Move around the environment
- Sensor fusion: Automatic alignment
- Quality check: Verify accuracy metrics
Q: Can I use it outdoors?
A: Limited outdoor support:
- Lighting: Requires adequate lighting
- WiFi: Needs WiFi infrastructure
- Weather: Protected environment recommended
- Range: Limited by WiFi coverage
🔒 Security & Privacy
Q: Is my data secure?
A: Security features include:
- Local processing: Sensitive data stays on your device
- Encrypted transmission: All cloud communication encrypted
- User consent: Clear data usage policies
- Data retention: Configurable retention periods
Q: What data is collected?
A: The system collects:
- Camera images: For SLAM processing
- WiFi CSI data: For RF tracking
- Performance metrics: For optimization
- Usage statistics: For improvement (optional)
Q: Can I use it offline?
A: Yes, core functionality works offline:
- Local SLAM processing
- Offline calibration
- Local data storage
- Basic rendering capabilities
🛠️ Development & Customization
Q: Can I extend the system?
A: Yes, the system is designed for extensibility:
- Modular architecture: Easy to add new components
- Plugin system: Custom processing modules
- API access: Full programmatic control
- Open source: Modify and contribute
Q: How do I contribute?
A: Contribution opportunities:
- Code: Submit pull requests
- Documentation: Improve guides and examples
- Testing: Report bugs and test features
- Community: Help other users
Q: What programming languages are used?
A: The system uses:
- Python: Main application and UI
- C++: Performance-critical components
- CUDA: GPU acceleration
- JavaScript: Web interface components
Q: Can I integrate with other systems?
A: Yes, integration options include:
- REST APIs: HTTP-based communication
- WebSocket: Real-time data streaming
- ROS: Robotics integration
- Custom protocols: Direct communication
📊 Troubleshooting
Q: My camera isn't working
A: Common solutions:
- Check permissions:
sudo usermod -a -G video $USER - Verify connection:
ls /dev/video* - Test with OpenCV:
python -c "import cv2; cap = cv2.VideoCapture(0); print(cap.isOpened())" - Update drivers: Install latest camera drivers
Q: WiFi CSI isn't capturing
A: Troubleshooting steps:
- Check Nexmon:
lsmod | grep nexmon - Verify interface:
iwconfig - Set monitor mode:
sudo iw dev wlan0 set type monitor - Check configuration: Verify
config/csi_config.json
Q: Performance is poor
A: Optimization steps:
- Check system resources:
htop,nvidia-smi - Reduce quality settings: Edit configuration files
- Close other applications: Free up system resources
- Improve environment: Better lighting, less interference
Q: Application crashes
A: Debugging steps:
- Check logs:
tail -f logs/nowyouseeme.log - Run in debug mode:
python -m src.ui.holodeck_ui --debug - Update dependencies:
pip install -U -r requirements.txt - Rebuild:
./tools/build.sh --clean
💰 Pricing & Licensing
Q: Is NowYouSeeMe free?
A: Yes, NowYouSeeMe is:
- Open source: MIT license
- Free to use: No licensing fees
- Community supported: Active development
- Commercial friendly: Use in commercial projects
Q: What about cloud costs?
A: Cloud usage costs:
- Development: Free tier available
- Production: Pay-per-use pricing
- Scaling: Costs scale with usage
- Optimization: Tools to minimize costs
Q: Can I use it commercially?
A: Yes, the MIT license allows:
- Commercial use: No restrictions
- Modification: Modify as needed
- Distribution: Include in your products
- Attribution: Include license and copyright
🔮 Future & Roadmap
Q: What's coming next?
A: Planned features:
- Edge computing: Distributed processing
- 5G integration: Low-latency wireless
- AI enhancement: Advanced neural networks
- Holographic display: True holographic rendering
Q: How often are updates released?
A: Release schedule:
- Major releases: Every 6 months
- Minor releases: Every 2-3 months
- Patch releases: As needed
- Nightly builds: Available for testing
Q: Can I request features?
A: Yes, feature requests welcome:
- GitHub Issues: Submit feature requests
- Discord: Discuss ideas with community
- Email: Direct feature suggestions
- Contributions: Implement features yourself
📞 Support & Community
Q: Where can I get help?
A: Support channels:
- Documentation: docs/ - Comprehensive guides
- GitHub Issues: Issues - Bug reports
- Discord: Discord Server - Real-time help
- Email: support@nowyouseeme.dev - Direct support
Q: How active is the community?
A: Active community with:
- Regular updates: Weekly development
- Active discussions: Daily community interaction
- Contributions: Open to all contributors
- Events: Regular meetups and workshops
Q: Can I join the development team?
A: Yes, we welcome contributors:
- Open source: All code is open
- Contributions: Pull requests welcome
- Documentation: Help improve guides
- Testing: Help test and report bugs
Still have questions? Check our Troubleshooting Guide or ask the community!