data-collection-sim

The code appears to be a legitimate Isaac Sim synthetic-data capture and QA validator. It contains no evident malware, exfiltration, persistence, or obfuscation. The primary security risk is arbitrary code execution through numpy.load(..., allow_pickle=True) if bounding-box files are untrusted; use allow_pickle=False and validate the expected array format. User-controlled output and report paths should also be constrained where the tool runs in a privileged environment.