PointPillars for 3D object detection from LiDAR point clouds. Encodes point clouds into a pseudo-image via a pillar-based representation, then applies 2D detection — used in autonomous driving and robotics. Use when training, evaluating, exporting, pruning, retraining, or running inference for a TAO PointPillars model.
Install
npx skills add NVIDIA/skills --skill tao-train-pointpillarsnpx skills add NVIDIA/skills --skill tao-train-pointpillars -a claude-code -gnpx skills add NVIDIA/skills --skill tao-train-pointpillars -a codex -ggemini skills install https://github.com/NVIDIA/skills.git --path skills/tao-train-pointpillarsgh skill install NVIDIA/skills tao-train-pointpillarsgit clone --depth 1 https://github.com/NVIDIA/skills /tmp/NVIDIA__skills
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/NVIDIA__skills/skills/tao-train-pointpillars ~/.claude/skills/tao-train-pointpillars # Claude Code
cp -R /tmp/NVIDIA__skills/skills/tao-train-pointpillars ~/.agents/skills/tao-train-pointpillars # Codex, Cursor, Gemini CLI, Copilot, OpenCode