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  • Installation guide
  • Source
  • Contributing

TUTORIALS

  • Minimal crowd simulation example
  • Configuration files
    • Create a crowd of pedestrians from the ANSURII dataset
    • Create a crowd of pedestrians with custom statistics
    • Create a 2D pedestrian
    • Create a 3D pedestrian
    • Read the ANSURII database
    • Read the configuration files
  • Mechanical layer

API REFERENCE

  • Configuration files (Python)
  • Streamlit app (Python)
  • Mechanical layer (C++)
  • Tests
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  • Configuration files
  • View page source

Configuration files

Try out the Streamlit application online at app. To use the Python wrapper locally, follow the step-by-step advanced tutorials.

Contents

  • Create a crowd of pedestrians from the ANSURII dataset
    • With default parameters
    • Changing default parameters
    • On a grid
    • In 3D
  • Create a crowd of pedestrians with custom statistics
    • Get some anthropometric statistics from the created crowd
  • Create a 2D pedestrian
  • Create a 3D pedestrian
    • Create the agent
    • Plot the 3D pedestrian
  • Read the ANSURII database
    • Display the chest depth histograms
    • Display the bideltoid breadth histograms
    • Display the first keys and data of the database
  • Read the configuration files
    • Create the crowd object
    • Display the crowd
    • Get some anthropometric statistics from the created crowd
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