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cli-anything-cloudanalyzer

Evaluate 3D point clouds and movement trajectories against reference data with CloudAnalyzer. Prepare inputs, measure differences, apply quality thresholds, inspect results visually, and track baseline history for mapping, localization, and perception workflows.

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Command-line interface for CloudAnalyzer — Agent-friendly harness for CloudAnalyzer, a QA platform for mapping, localization, and perception outputs. Supports 27 commands across 8 groups: point cloud evaluation, trajectory evaluation, ground segmentation QA, config-driven quality gates, baseline evolution, processing, visualization, and interactive REPL.

查看安装方法

适用场景

  • Compare a generated point cloud with reference data
  • Measure errors in estimated movement trajectories
  • Check ground segmentation against quality thresholds
  • Review candidate baselines using past QA results

包含的文件(1)

  • SKILL.md7.1 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

cli-anything-cloudanalyzer

Agent-friendly command-line harness for CloudAnalyzer — a QA platform for mapping, localization, and perception point cloud outputs.

27 commands across 8 groups.

Installation

pip install cli-anything-cloudanalyzer

Prerequisites:

  • Python 3.10+
  • CloudAnalyzer: pip install cloudanalyzer

Global Options

cli-anything-cloudanalyzer [--project FILE] [--json] COMMAND [ARGS]...
OptionDescription
-p, --project TEXTPath to project JSON file
--jsonOutput results as JSON (for agent consumption)

Command Groups

1. evaluate — Point Cloud Evaluation (6 commands)

evaluate run

Evaluate a point cloud against a reference (Chamfer, F1, AUC, Hausdorff).

cli-anything-cloudanalyzer evaluate run source.pcd reference.pcd
cli-anything-cloudanalyzer --json evaluate run source.pcd reference.pcd

Options: --plot TEXT, --threshold FLOAT

evaluate compare

Compare two point clouds with optional registration.

cli-anything-cloudanalyzer evaluate compare src.pcd tgt.pcd --register gicp

Options: --register TEXT (icp/gicp/none)

evaluate diff

Quick distance statistics between two point clouds.

cli-anything-cloudanalyzer evaluate diff a.pcd b.pcd --threshold 0.1

evaluate batch

Batch evaluation of multiple point clouds against a reference.

cli-anything-cloudanalyzer --json evaluate batch results/ reference.pcd --min-auc 0.95

Options: --min-auc FLOAT, --max-chamfer FLOAT

evaluate ground

Evaluate ground segmentation quality (precision, recall, F1, IoU).

cli-anything-cloudanalyzer --json evaluate ground est_ground.pcd est_ng.pcd ref_ground.pcd ref_ng.pcd --min-f1 0.9

Options: --voxel-size FLOAT, --min-precision FLOAT, --min-recall FLOAT, --min-f1 FLOAT, --min-iou FLOAT

evaluate pipeline

Filter, downsample, evaluate in one command.

cli-anything-cloudanalyzer evaluate pipeline input.pcd reference.pcd -o output.pcd

2. trajectory — Trajectory Evaluation (3 commands)

trajectory evaluate

Evaluate estimated vs reference trajectory (ATE, RPE, drift, lateral, longitudinal).

cli-anything-cloudanalyzer --json trajectory evaluate est.csv gt.csv --max-ate 0.5 --max-lateral 0.3

Options: --max-ate FLOAT, --max-rpe FLOAT, --max-drift FLOAT, --min-coverage FLOAT, --max-lateral FLOAT, --max-longitudinal FLOAT, --align-origin, --align-rigid

trajectory batch

Batch trajectory evaluation.

cli-anything-cloudanalyzer trajectory batch runs/ --reference-dir gt/ --max-drift 1.0

trajectory run-evaluate

Integrated map + trajectory evaluation.

cli-anything-cloudanalyzer trajectory run-evaluate map.pcd map_ref.pcd traj.csv traj_ref.csv

Options: --min-auc FLOAT, --max-ate FLOAT


3. check — Config-Driven Quality Gate (2 commands)

check run

Run unified QA from a config file.

cli-anything-cloudanalyzer --json check run cloudanalyzer.yaml

Options: --output-json TEXT

check init

Generate a starter config file.

cli-anything-cloudanalyzer check init cloudanalyzer.yaml --profile integrated

Options: --profile TEXT (mapping/localization/perception/integrated), --force


4. baseline — Baseline Evolution (3 commands)

baseline decision

Decide whether to promote, keep, or reject a candidate baseline.

cli-anything-cloudanalyzer --json baseline decision qa/summary.json --history-dir qa/history/

Options: --history TEXT (repeatable), --history-dir TEXT, --output-json TEXT

baseline save

Save a QA summary to the history directory.

cli-anything-cloudanalyzer baseline save qa/summary.json --history-dir qa/history/ --keep 10

Options: --history-dir TEXT, --label TEXT, --keep INTEGER

baseline list

List saved baselines.

cli-anything-cloudanalyzer --json baseline list --history-dir qa/history/

5. process — Point Cloud Processing (6 commands)

process downsample

Voxel grid downsampling.

cli-anything-cloudanalyzer process downsample cloud.pcd -o down.pcd -v 0.05

process sample

Random point sampling.

cli-anything-cloudanalyzer process sample cloud.pcd -o sampled.pcd -n 10000

process filter

Statistical outlier removal.

cli-anything-cloudanalyzer process filter cloud.pcd -o filtered.pcd

process split

Split point cloud into grid tiles (writes metadata.yaml).

cli-anything-cloudanalyzer process split large.pcd -o tiles/ -g 100

process merge

Merge multiple point clouds.

cli-anything-cloudanalyzer process merge a.pcd b.pcd -o merged.pcd

process convert

Convert between point cloud formats.

cli-anything-cloudanalyzer process convert input.las -o output.pcd

6. inspect — Visualization (3 commands)

inspect view

Open a point cloud viewer.

cli-anything-cloudanalyzer inspect view cloud.pcd

inspect web

Interactive browser inspection.

cli-anything-cloudanalyzer inspect web map.pcd ref.pcd --heatmap

inspect web-export

Export a static HTML inspection bundle.

cli-anything-cloudanalyzer inspect web-export map.pcd ref.pcd -o bundle/

7. info — Metadata (2 commands)

info show

Show point cloud metadata.

cli-anything-cloudanalyzer --json info show cloud.pcd

info version

Show CloudAnalyzer version.


8. session — Session Management (2 commands)

session new

Create a new harness project JSON file.

cli-anything-cloudanalyzer session new -o project.json -n my-run

session history

Show recent operations for the project given with -p / --project.

cli-anything-cloudanalyzer --project project.json session history --last 20

Typical Agent Workflows

Workflow 1: Evaluate and gate a point cloud

cli-anything-cloudanalyzer --json evaluate run output.pcd reference.pcd

Workflow 2: Config-driven QA pipeline

cli-anything-cloudanalyzer check init cloudanalyzer.yaml --profile integrated
cli-anything-cloudanalyzer --json check run cloudanalyzer.yaml

Workflow 3: Baseline management

cli-anything-cloudanalyzer --json check run cloudanalyzer.yaml --output-json qa/summary.json
cli-anything-cloudanalyzer baseline save qa/summary.json --history-dir qa/history/
cli-anything-cloudanalyzer --json baseline decision qa/summary.json --history-dir qa/history/

Workflow 4: Ground segmentation QA

cli-anything-cloudanalyzer --json evaluate ground \
  est_ground.pcd est_ng.pcd ref_ground.pcd ref_ng.pcd --min-f1 0.9

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