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REQUIREMENTS.md

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Hardware

  • CPU: 4+ cores recommended for scene generation; paper measurements used Intel Haswell-class CPU
  • RAM: 8 GB minimum; 16+ GB free recommended for main_measurements.pkl.gz; 32 GB for full reproduction runs
  • Disk: 10 GB free space (Docker image, optional Zenodo download)
  • Display: headless Docker + web browser

Software

  • Docker Engine 24+ and Docker Compose v2
  • Web browser for the Streamlit UI at http://localhost:8501
  • Optional (non-Docker): Python 3.12, see package.json for pinned dependencies
  • Browser uploads: max 300 MB per file (Streamlit server.maxUploadSize)

Python dependencies are pinned in package.json (pythonDependencies.common). Install locally with: python scripts/install_dependencies.py

Environment variables (Docker)

  • PYTHONPATH=/app/src
  • ARTIFACT_DATA_DIR=/data
  • ARTIFACT_OUTPUT_DIR=/output
  • ENABLE_RRT_ANIMATION=false (headless RRT in artifact mode)
  • MPLBACKEND=Agg

Dataset (separate Zenodo publication)

  • Full evaluation data is published separately under CC-BY 4.0
  • Dataset DOI: 10.5281/zenodo.20792733 (concept DOI; resolves to latest version; hardcoded in src/utils/artifact_config.py)
  • Quick demo (plotting & visualization): load msr_measurements_for_full_coverage.pkl.gz (~26 MB compressed; 6-vessel cases, not for trajectories)
  • Full paper archive: main_measurements.pkl.gz (~241 MB compressed; 16+ GB free RAM recommended)