Run and evaluate the FoundationPose perception pipeline

Purpose

Run depth, SAM3 segmentation, and FoundationPose on BOP-format datasets using the TAO Deploy TensorRT depth engine. Adapt datasets, preserve run provenance, and interpret pose metrics. For missing dependencies or engine construction, use foundationpose-setup if installed, or the product checkout's README Install and Verify sections.

Requirements

Locate the user's product checkout by pyproject.toml (project foundationpose-perception-pipeline), script/run_pipeline.py, and config/defaults.yaml. Run commands from that root, not from this installed skill's directory. A catalog install supplies instructions, not the product code, datasets, or weights. If execution was requested and no checkout exists, obtain it from the URL above and complete setup first. For advice or analysis of supplied artifacts, use those inputs without cloning or loading models.