{"adoption": {"forks": 534, "observed_at": "2026-08-28T04:06:52.615762+00:00", "stars": 2444}, "canonical_url": "https://ross.abutalabs.com/products/towards-realtime-mot", "card": {"archived": false, "artifact_type": "library", "description": "Joint Detection and Embedding for fast multi-object tracking", "domain": ["computer-vision", "machine-learning", "deep-learning"], "enriched": true, "function": ["computer-vision", "machine-learning", "deep-learning", "image-processing"], "health_score": 20, "homepage": null, "language": "Python", "license": "MIT", "license_family": "permissive", "maturity": "maintenance", "member_repos": ["Zhongdao/Towards-Realtime-MOT"], "name": "Zhongdao/Towards-Realtime-MOT", "platform": ["python"], "pushed_at": "2021-12-29T06:37:22+00:00", "repo": "Zhongdao/Towards-Realtime-MOT", "stars": 2444, "tags": ["multi-object-tracking", "tracking-by-detection", "pedestrian-tracking", "pytorch", "eccv-2020", "realtime", "object-detection", "appearance-embedding", "linux", "gpu", "docker"], "topics": ["multi-object-tracker", "multi-pedestrian-tracking", "tracking-by-detection", "tracking", "realtime-mot", "multiple-object-tracking"], "urls": [], "use_cases": ["track multiple pedestrians in a video in real time", "run multi-object tracking on raw video footage", "train a joint detection and embedding tracker", "evaluate a tracker on the MOT-16 benchmark", "deploy a fast MOT system for surveillance video", "benchmark multi-object tracking algorithms"], "what_it_is": "A PyTorch codebase for the Joint Detection and Embedding (JDE) model, a fast multiple-object tracker that learns object detection and appearance embedding simultaneously in a shared neural network. It achieves MOTA 64%+ on MOT-16 at 22-38 FPS and includes training data, pretrained models, and evaluation tooling.", "when_to_avoid": ["you need actively maintained code with recent dependency support", "you want a pure C++ or production-ready deployment without Python", "you need tracking of general object classes beyond pedestrians", "you cannot use a GPU"], "when_to_choose": ["you need near-realtime multi-object tracking with detection included in the pipeline", "you want a research baseline with pretrained models and MOT-16 evaluation", "you need to train or extend a joint detection and embedding tracker in PyTorch"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/towards-realtime-mot", "repo": "Zhongdao/Towards-Realtime-MOT", "role": "main", "score": 32}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:06:52.615762+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T02:30:33.900311+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "699621ba52cd1e3f76b51da87bb5f3fa73b0ccf8a65a690550254f1ad34f2611", "fetched_at": "2026-08-28T04:06:52.615762+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Zhongdao/Towards-Realtime-MOT"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:06:52.615762+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T02:30:33.900311+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "699621ba52cd1e3f76b51da87bb5f3fa73b0ccf8a65a690550254f1ad34f2611", "fetched_at": "2026-08-28T04:06:52.615762+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Zhongdao/Towards-Realtime-MOT"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T02:30:33.900311+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "699621ba52cd1e3f76b51da87bb5f3fa73b0ccf8a65a690550254f1ad34f2611", "fetched_at": "2026-08-28T04:06:52.615762+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Zhongdao/Towards-Realtime-MOT"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:06:52.615762+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:06:52.615762+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:06:52.615762+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T02:30:33.900311+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "699621ba52cd1e3f76b51da87bb5f3fa73b0ccf8a65a690550254f1ad34f2611", "fetched_at": "2026-08-28T04:06:52.615762+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Zhongdao/Towards-Realtime-MOT"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:06:52.615762+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:06:52.615762+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T02:30:33.900311+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "699621ba52cd1e3f76b51da87bb5f3fa73b0ccf8a65a690550254f1ad34f2611", "fetched_at": "2026-08-28T04:06:52.615762+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Zhongdao/Towards-Realtime-MOT"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:06:52.615762+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:06:52.615762+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:06:52.615762+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T02:30:33.900311+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "699621ba52cd1e3f76b51da87bb5f3fa73b0ccf8a65a690550254f1ad34f2611", "fetched_at": "2026-08-28T04:06:52.615762+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Zhongdao/Towards-Realtime-MOT"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:06:52.615762+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:06:52.615762+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T02:30:33.900311+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "699621ba52cd1e3f76b51da87bb5f3fa73b0ccf8a65a690550254f1ad34f2611", "fetched_at": "2026-08-28T04:06:52.615762+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Zhongdao/Towards-Realtime-MOT"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T02:30:33.900311+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "699621ba52cd1e3f76b51da87bb5f3fa73b0ccf8a65a690550254f1ad34f2611", "fetched_at": "2026-08-28T04:06:52.615762+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Zhongdao/Towards-Realtime-MOT"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T02:30:33.900311+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "699621ba52cd1e3f76b51da87bb5f3fa73b0ccf8a65a690550254f1ad34f2611", "fetched_at": "2026-08-28T04:06:52.615762+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Zhongdao/Towards-Realtime-MOT"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T02:30:33.900311+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "699621ba52cd1e3f76b51da87bb5f3fa73b0ccf8a65a690550254f1ad34f2611", "fetched_at": "2026-08-28T04:06:52.615762+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Zhongdao/Towards-Realtime-MOT"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 0, "longevity": 100, "rhythm": 35}, "computed_at": "2026-09-02T17:46:02.011165+00:00", "flags": ["no_releases"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 2532, "days_push": 1708, "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}}