System Performance Optimization Guide
Practical solutions for hardware limitations:
- Lightweight solutions::
- Comment out non-essential dependency libraries (e.g. open3d) in requirements.txt
- Starting back-end services with -low_memory mode
- Cloud Computing Solutions::
- Deploying server-side in Google Colab (free version)
- Local access via ngrok
Step-by-step optimization steps:
- Hardware Detection:
- Ensure minimum configurations are met (4GB RAM/2-core CPU)
- Disable integrated graphics in favor of discrete GPUs
- Software Adjustment:
- Modify batch_size=1 in backend/config.py
- Disable Live Preview
Alternative: for ultra-low-capacity devices, use the online demo version on GitHub Pages (limited functionality)
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