Project Aria Tools, Data Utilities

Overview

Project Aria Tools provides Python and C++ APIs. This section provides a detailed walk through of installation, visualization, code tutorials and snippets.

• Getting started
  • A quickstart to install Project Aria Tools using a Python package followed by tutorials in Jupyter notebook. It contains:
    • Dataprovider quickstart tutorial: a walk-through of accessing sensor data from VRS file, obtaining sensor calibrations and accessing project/unproject functionalities, undistorting an image, etc.
    • Machine Perception Services (MPS) quickstart tutorial: How to visualize MPS derived data (gaze, trajectory, and point cloud)
• Visualizers
  • In this tutorial we introduce binaries for visualizing Aria data
    • Aria viewer: Visualize raw Aria data
    • MPS Static scene visualizer: Visualize Aria data with trajectories, global point cloud, and static camera poses
    • MPS 3D Replay Viewer: Renders static scene and dynamic elements: 2D/3D observations rays + eye gaze data
    • MPS Eye Gaze Viewer: Visualize Aria data with eye gaze data
• Installation guide
  • Various installation processes for Project Aria Tools API in Python and C++
  • How to add CMake to your projects
  • Install and Build Troubleshooting
• Core Code Snippets
  • Python and C++ code snippets for Project Aria Tools core functionality
    • Data Provider: open and load Aria raw data (VRS files)
    • Image: Access and manage Aria images
    • Calibration: Access device, 6DoF and sensor calibration
    • MPS: How to work with Aria derived data generated by Project Aria's Machine Perception Services
• Advanced Code Snippets
  • Plotting Sensor Data (Python)
    • Save images as PNG
    • Plot the raw sensor data of a VRS file and store the plots in PDF files
  • Image Utilities (Python and C++)
  • Export VRS to MP4 (Python)