{"adoption": {"forks": 415, "observed_at": "2026-08-28T04:05:43.391770+00:00", "stars": 1845}, "canonical_url": "https://ross.abutalabs.com/products/ab3dmot", "card": {"archived": false, "artifact_type": "library", "description": "(IROS 2020, ECCVW 2020) Official Python Implementation for \"3D Multi-Object Tracking: A Baseline and New Evaluation Metrics\"", "domain": ["computer-vision", "autonomous-vehicles", "robotics", "machine-learning"], "enriched": true, "function": ["computer-vision", "machine-learning", "benchmarking", "simulation"], "health_score": 20, "homepage": "http://www.xinshuoweng.com/", "language": "Python", "license": "NOASSERTION", "license_family": "other", "maturity": "maintenance", "member_repos": ["xinshuoweng/AB3DMOT"], "name": "xinshuoweng/AB3DMOT", "platform": ["python", "cross-platform"], "pushed_at": "2024-04-03T19:30:20+00:00", "repo": "xinshuoweng/AB3DMOT", "stars": 1845, "tags": ["3d-multi-object-tracking", "kalman-filter", "lidar", "kitti", "nuscenes", "evaluation-metrics", "research-code", "point-cloud", "linux"], "topics": ["computer-vision", "machine-learning", "robotics", "tracking", "3d-tracking", "multi-object-tracking", "real-time", "evaluation-metrics", "evaluation", "3d-multi-object-tracking", "2d-mot-evaluation", "kitti", "3d-mot", "3d-multi", "kitti-3d"], "urls": [], "use_cases": ["track 3d objects from lidar point clouds", "evaluate 3d multi-object tracking on kitti", "baseline 3d mot system for autonomous driving", "compute samota and mot evaluation metrics", "run multi-object tracking on nuscenes", "compare 3d tracking algorithms against a baseline"], "what_it_is": "Official Python implementation of AB3DMOT, a simple real-time baseline for 3D multi-object tracking using oriented 3D bounding boxes from LiDAR point clouds, with new evaluation metrics (e.g., sAMOTA). Supports KITTI and nuScenes datasets.", "when_to_avoid": ["you need a production-ready tracking system with learned association models", "you track from camera images only without 3D detections", "you need active development or commercial support"], "when_to_choose": ["you need a simple, real-time 3D MOT baseline for research comparison", "you want standardized 3D/2D MOT evaluation metrics on KITTI or nuScenes", "you work on autonomous driving perception with LiDAR detections"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/ab3dmot", "repo": "xinshuoweng/AB3DMOT", "role": "main", "score": 32}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:05:43.391770+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T03:17:55.621512+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "367262d7d3007c5a428c1168ae89f2220e3ff3c180e2ce040c4a11eae2a0f18d", "fetched_at": "2026-08-28T04:05:43.391770+00:00", "kind": "readme", "missing": false, "url": "https://github.com/xinshuoweng/AB3DMOT"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:05:43.391770+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T03:17:55.621512+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "367262d7d3007c5a428c1168ae89f2220e3ff3c180e2ce040c4a11eae2a0f18d", "fetched_at": "2026-08-28T04:05:43.391770+00:00", "kind": "readme", "missing": false, "url": "https://github.com/xinshuoweng/AB3DMOT"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T03:17:55.621512+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "367262d7d3007c5a428c1168ae89f2220e3ff3c180e2ce040c4a11eae2a0f18d", "fetched_at": "2026-08-28T04:05:43.391770+00:00", "kind": "readme", "missing": false, "url": "https://github.com/xinshuoweng/AB3DMOT"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:05:43.391770+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:05:43.391770+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:05:43.391770+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T03:17:55.621512+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "367262d7d3007c5a428c1168ae89f2220e3ff3c180e2ce040c4a11eae2a0f18d", "fetched_at": "2026-08-28T04:05:43.391770+00:00", "kind": "readme", "missing": false, "url": "https://github.com/xinshuoweng/AB3DMOT"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:05:43.391770+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:05:43.391770+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T03:17:55.621512+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "367262d7d3007c5a428c1168ae89f2220e3ff3c180e2ce040c4a11eae2a0f18d", "fetched_at": "2026-08-28T04:05:43.391770+00:00", "kind": "readme", "missing": false, "url": "https://github.com/xinshuoweng/AB3DMOT"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:05:43.391770+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:05:43.391770+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:05:43.391770+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T03:17:55.621512+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "367262d7d3007c5a428c1168ae89f2220e3ff3c180e2ce040c4a11eae2a0f18d", "fetched_at": "2026-08-28T04:05:43.391770+00:00", "kind": "readme", "missing": false, "url": "https://github.com/xinshuoweng/AB3DMOT"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:05:43.391770+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:05:43.391770+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T03:17:55.621512+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "367262d7d3007c5a428c1168ae89f2220e3ff3c180e2ce040c4a11eae2a0f18d", "fetched_at": "2026-08-28T04:05:43.391770+00:00", "kind": "readme", "missing": false, "url": "https://github.com/xinshuoweng/AB3DMOT"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T03:17:55.621512+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "367262d7d3007c5a428c1168ae89f2220e3ff3c180e2ce040c4a11eae2a0f18d", "fetched_at": "2026-08-28T04:05:43.391770+00:00", "kind": "readme", "missing": false, "url": "https://github.com/xinshuoweng/AB3DMOT"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T03:17:55.621512+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "367262d7d3007c5a428c1168ae89f2220e3ff3c180e2ce040c4a11eae2a0f18d", "fetched_at": "2026-08-28T04:05:43.391770+00:00", "kind": "readme", "missing": false, "url": "https://github.com/xinshuoweng/AB3DMOT"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T03:17:55.621512+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "367262d7d3007c5a428c1168ae89f2220e3ff3c180e2ce040c4a11eae2a0f18d", "fetched_at": "2026-08-28T04:05:43.391770+00:00", "kind": "readme", "missing": false, "url": "https://github.com/xinshuoweng/AB3DMOT"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 0, "longevity": 100, "rhythm": 35}, "computed_at": "2026-09-03T02:20:16.233290+00:00", "flags": ["no_releases", "no_license"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 2632, "days_push": 882, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 32, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}