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github.com/NVlabs/physical_ai_av @v0.2.2

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90 symbols 204 edges 12 files 61 documented · 68% 1 cross-repo links updated 3mo ago★ 34010 open issues
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README

physical_ai_av

This repository contains a python developer kit and documentation (in the form of a wiki and interactive notebooks) for working with the NVIDIA Physical AI Autonomous Vehicles Dataset, one of the largest, most geographically diverse collections of multi-sensor data empowering AV researchers to build the next generation of Physical AI based end-to-end driving systems.

Installation & Setup

pip install physical_ai_av

To use this package to access the data hosted on Hugging Face, you'll need to:

Core symbols most depended-on inside this repo

is_file_cached
called by 5
src/physical_ai_av/utils/hf_interface.py
download_file
called by 5
src/physical_ai_av/utils/hf_interface.py
create_interpolant
called by 3
src/physical_ai_av/utils/interpolation.py
get_chunk_feature_filename
called by 2
src/physical_ai_av/dataset.py
get_clip_files_in_zip
called by 2
src/physical_ai_av/dataset.py
create_interpolator
called by 2
src/physical_ai_av/utils/interpolation.py
_confirm_download
called by 2
src/physical_ai_av/utils/hf_interface.py
download_files
called by 2
src/physical_ai_av/utils/hf_interface.py

Shape

Method 65
Class 23
Function 2

Languages

Python100%

Modules by API surface

src/physical_ai_av/utils/hf_interface.py15 symbols
src/physical_ai_av/video.py14 symbols
src/physical_ai_av/utils/tf.py14 symbols
src/physical_ai_av/utils/interpolation.py14 symbols
src/physical_ai_av/utils/camera_models.py13 symbols
src/physical_ai_av/dataset.py11 symbols
src/physical_ai_av/calibration.py6 symbols
src/physical_ai_av/egomotion.py2 symbols
src/physical_ai_av/utils/logging.py1 symbols

Used by 1 indexed graphs manifest dependencies, hub-wide

For agents

$ claude mcp add physical_ai_av \
  -- python -m otcore.mcp_server <graph>

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