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 guide showing how to install Project Aria Tools using a Python package, followed by tutorials using Jupyter notebooks. 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.
- Sophus Pybind Tutorial: access Sophus Library SO3, SE3, interpolate and iterativeMean features
- Machine Perception Services (MPS) tutorial: How to visualize MPS derived data
- A quickstart guide showing how to install Project Aria Tools using a Python package, followed by tutorials using Jupyter notebooks. It contains:
- Installation guide
- Various installation processes for Project Aria Tools API in Python and C++
- How to download the MPS Sample dataset
- How to add CMake to your projects
- Install and Build Troubleshooting
- Visualizers
- Tutorials showing how to visualize raw Aria data and MPS data
- 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 - General: How to load MPS outputs into data structures that can be used by downstream applications
- MPS - Eye Gaze: code snippets for working with eye gaze data
- Python and C++ code snippets for Project Aria Tools core functionality
- 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)
- Plotting Sensor Data (Python)