{"adoption": {"forks": 267, "observed_at": "2026-08-28T04:04:22.959346+00:00", "stars": 1327}, "canonical_url": "https://ross.abutalabs.com/products/complex-yolov4-pytorch", "card": {"archived": false, "artifact_type": "library", "description": "The PyTorch Implementation based on YOLOv4 of the paper: \"Complex-YOLO: Real-time 3D Object Detection on Point Clouds\"", "domain": ["autonomous-vehicles", "computer-vision", "deep-learning", "machine-learning"], "enriched": true, "function": ["machine-learning", "deep-learning", "computer-vision", "image-processing"], "health_score": 20, "homepage": "https://arxiv.org/pdf/1803.06199.pdf", "language": "Python", "license": "GPL-3.0", "license_family": "copyleft", "maturity": "maintenance", "member_repos": ["maudzung/Complex-YOLOv4-Pytorch"], "name": "maudzung/Complex-YOLOv4-Pytorch", "platform": ["python"], "pushed_at": "2024-08-30T23:53:42+00:00", "repo": "maudzung/Complex-YOLOv4-Pytorch", "stars": 1327, "tags": ["lidar", "point-cloud", "3d-object-detection", "yolov4", "pytorch", "kitti-dataset", "rotated-bounding-boxes", "real-time-detection", "gpu", "linux"], "topics": ["yolov4", "object-detection", "real-time", "multiprocessing", "data-parallel-computing", "lidar", "lidar-point-cloud", "complex-yolo", "3d-object-detection", "mish", "mosaic", "rotated-boxes", "giou", "rotated-boxes-iou"], "urls": [], "use_cases": ["detect 3d objects from lidar point clouds", "train a yolov4 model on kitti point cloud data", "real-time 3d object detection for autonomous driving", "run 3d object detection on a gpu with pytorch", "experiment with rotated box giou loss for lidar detection", "visualize lidar point cloud detections"], "what_it_is": "A PyTorch implementation of Complex-YOLO, a YOLOv4-based model for real-time 3D object detection on LiDAR point clouds. It supports distributed data parallel training, mosaic/cutout augmentation, and GIoU loss for rotated boxes, evaluated on the KITTI 3D detection dataset.", "when_to_avoid": ["you need 2D image object detection rather than 3D point cloud detection", "you want the author's newer, faster anchor-free approach without non-max suppression", "you need production-supported software with ongoing feature development", "your point cloud data is not in KITTI format and you cannot convert it"], "when_to_choose": ["you need a ready-to-train PyTorch baseline for 3D object detection on LiDAR point clouds", "you want YOLOv4-style real-time detection with rotated bounding boxes on KITTI-format data", "you need distributed data parallel training for a point cloud detection model"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/complex-yolov4-pytorch", "repo": "maudzung/Complex-YOLOv4-Pytorch", "role": "main", "score": 32}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:04:22.959346+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T04:46:17.979453+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "45e99befb0a943e06d91460b2db68b73b0bed75f3f3df06b3ab165270fcf618c", "fetched_at": "2026-08-28T04:04:22.959346+00:00", "kind": "readme", "missing": false, "url": "https://github.com/maudzung/Complex-YOLOv4-Pytorch"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:04:22.959346+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T04:46:17.979453+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "45e99befb0a943e06d91460b2db68b73b0bed75f3f3df06b3ab165270fcf618c", "fetched_at": "2026-08-28T04:04:22.959346+00:00", "kind": "readme", "missing": false, "url": "https://github.com/maudzung/Complex-YOLOv4-Pytorch"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T04:46:17.979453+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "45e99befb0a943e06d91460b2db68b73b0bed75f3f3df06b3ab165270fcf618c", "fetched_at": "2026-08-28T04:04:22.959346+00:00", "kind": "readme", "missing": false, "url": "https://github.com/maudzung/Complex-YOLOv4-Pytorch"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:04:22.959346+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:04:22.959346+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:04:22.959346+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T04:46:17.979453+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "45e99befb0a943e06d91460b2db68b73b0bed75f3f3df06b3ab165270fcf618c", "fetched_at": "2026-08-28T04:04:22.959346+00:00", "kind": "readme", "missing": false, "url": "https://github.com/maudzung/Complex-YOLOv4-Pytorch"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:04:22.959346+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:04:22.959346+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T04:46:17.979453+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "45e99befb0a943e06d91460b2db68b73b0bed75f3f3df06b3ab165270fcf618c", "fetched_at": "2026-08-28T04:04:22.959346+00:00", "kind": "readme", "missing": false, "url": "https://github.com/maudzung/Complex-YOLOv4-Pytorch"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:04:22.959346+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:04:22.959346+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:04:22.959346+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T04:46:17.979453+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "45e99befb0a943e06d91460b2db68b73b0bed75f3f3df06b3ab165270fcf618c", "fetched_at": "2026-08-28T04:04:22.959346+00:00", "kind": "readme", "missing": false, "url": "https://github.com/maudzung/Complex-YOLOv4-Pytorch"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:04:22.959346+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:04:22.959346+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T04:46:17.979453+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "45e99befb0a943e06d91460b2db68b73b0bed75f3f3df06b3ab165270fcf618c", "fetched_at": "2026-08-28T04:04:22.959346+00:00", "kind": "readme", "missing": false, "url": "https://github.com/maudzung/Complex-YOLOv4-Pytorch"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T04:46:17.979453+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "45e99befb0a943e06d91460b2db68b73b0bed75f3f3df06b3ab165270fcf618c", "fetched_at": "2026-08-28T04:04:22.959346+00:00", "kind": "readme", "missing": false, "url": "https://github.com/maudzung/Complex-YOLOv4-Pytorch"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T04:46:17.979453+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "45e99befb0a943e06d91460b2db68b73b0bed75f3f3df06b3ab165270fcf618c", "fetched_at": "2026-08-28T04:04:22.959346+00:00", "kind": "readme", "missing": false, "url": "https://github.com/maudzung/Complex-YOLOv4-Pytorch"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T04:46:17.979453+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "45e99befb0a943e06d91460b2db68b73b0bed75f3f3df06b3ab165270fcf618c", "fetched_at": "2026-08-28T04:04:22.959346+00:00", "kind": "readme", "missing": false, "url": "https://github.com/maudzung/Complex-YOLOv4-Pytorch"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 0, "longevity": 100, "rhythm": 35}, "computed_at": "2026-09-03T02:20:16.233290+00:00", "flags": ["no_releases"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 2252, "days_push": 733, "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}}