cli-anything-cloudanalyzer

To compare point clouds for quality assurance, use a CLI harness to evaluate source files against reference data, computing metrics like Chamfer distance, F1 score, and Hausdorff distance to determine similarity and errors.

Trajectory evaluation measures mapping and localization accuracy using metrics like ATE, RPE, drift, and coverage, enabling validation of map-to-motion accuracy against reference trajectory data.

You can automate point cloud QA by running evaluations from a config file with thresholded acceptance criteria, allowing you to promote or reject candidate baselines while keeping a history for iterative improvement.

The point cloud evaluation tool supports structured evaluation commands with JSON outputs specifically designed for agent consumption, enabling automated quality gating workflows.

You need a command-line harness to validate ground segmentation outputs, as it supports the structured evaluation commands and thresholded acceptance criteria required for automated point cloud quality gating.