{"adoption": {"forks": 190, "observed_at": "2026-08-28T04:03:49.533320+00:00", "stars": 1162}, "canonical_url": "https://ross.abutalabs.com/products/tensorrt-for-yolo-series", "card": {"archived": false, "artifact_type": "library", "description": "tensorrt for yolo series (YOLOv11,YOLOv10,YOLOv9,YOLOv8,YOLOv7,YOLOv6,YOLOX,YOLOv5), nms plugin support ", "domain": ["computer-vision", "deep-learning", "gpu-computing"], "enriched": true, "function": ["machine-learning", "computer-vision", "image-processing", "gpu-computing", "llm-inference"], "health_score": 58, "homepage": null, "language": "Python", "license": null, "license_family": "other", "maturity": "active", "member_repos": ["Linaom1214/TensorRT-For-YOLO-Series"], "name": "Linaom1214/TensorRT-For-YOLO-Series", "platform": ["python", "cpp", "windows"], "pushed_at": "2025-10-15T07:52:02+00:00", "repo": "Linaom1214/TensorRT-For-YOLO-Series", "stars": 1162, "tags": ["tensorrt", "yolo", "object-detection", "onnx", "nms-plugin", "int8-quantization", "model-deployment", "gpu", "linux"], "topics": ["tensorrt", "yolov7", "yolov6", "yolox", "yolov3", "yolov5", "yolov8", "yolov10", "yolov9", "yolo11", "yolo", "yolo12"], "urls": [], "use_cases": ["deploy yolo models with tensorrt for fast inference", "convert yolov8 onnx to tensorrt engine", "run yolo object detection on nvidia gpu with c++", "quantize yolo model to int8 with tensorrt", "export ultralytics yolo to tensorrt with nms plugin", "speed up yolo inference using tensorrt"], "what_it_is": "A Python and C++ toolkit for running YOLO-series object detection models (YOLOv3 through YOLOv12, YOLOX) with NVIDIA TensorRT, including ONNX export and engine generation with optional end-to-end NMS plugin support. It supports FP32/FP16/INT8 post-training quantization for accelerated GPU inference.", "when_to_avoid": ["you are not using NVIDIA GPUs or TensorRT", "you need a detector other than the YOLO family", "you want a maintained, licensed production library rather than a demo-style codebase"], "when_to_choose": ["you need maximum inference speed for YOLO models on NVIDIA GPUs via TensorRT", "you want end-to-end engines with NMS baked in via the plugin", "you need INT8 post-training quantization for YOLO deployment"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/tensorrt-for-yolo-series", "repo": "Linaom1214/TensorRT-For-YOLO-Series", "role": "main", "score": 44}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:03:49.533320+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T06:31:36.735006+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "eddd545db415592aa9d23e84ff9904c5006bef109a6d7cdb27b2fad552b72635", "fetched_at": "2026-08-28T04:03:49.533320+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Linaom1214/TensorRT-For-YOLO-Series"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:03:49.533320+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T06:31:36.735006+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "eddd545db415592aa9d23e84ff9904c5006bef109a6d7cdb27b2fad552b72635", "fetched_at": "2026-08-28T04:03:49.533320+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Linaom1214/TensorRT-For-YOLO-Series"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T06:31:36.735006+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "eddd545db415592aa9d23e84ff9904c5006bef109a6d7cdb27b2fad552b72635", "fetched_at": "2026-08-28T04:03:49.533320+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Linaom1214/TensorRT-For-YOLO-Series"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:03:49.533320+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:03:49.533320+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:03:49.533320+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T06:31:36.735006+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "eddd545db415592aa9d23e84ff9904c5006bef109a6d7cdb27b2fad552b72635", "fetched_at": "2026-08-28T04:03:49.533320+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Linaom1214/TensorRT-For-YOLO-Series"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:03:49.533320+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:03:49.533320+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T06:31:36.735006+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "eddd545db415592aa9d23e84ff9904c5006bef109a6d7cdb27b2fad552b72635", "fetched_at": "2026-08-28T04:03:49.533320+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Linaom1214/TensorRT-For-YOLO-Series"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:03:49.533320+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:03:49.533320+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:03:49.533320+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T06:31:36.735006+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "eddd545db415592aa9d23e84ff9904c5006bef109a6d7cdb27b2fad552b72635", "fetched_at": "2026-08-28T04:03:49.533320+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Linaom1214/TensorRT-For-YOLO-Series"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:03:49.533320+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:03:49.533320+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T06:31:36.735006+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "eddd545db415592aa9d23e84ff9904c5006bef109a6d7cdb27b2fad552b72635", "fetched_at": "2026-08-28T04:03:49.533320+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Linaom1214/TensorRT-For-YOLO-Series"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T06:31:36.735006+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "eddd545db415592aa9d23e84ff9904c5006bef109a6d7cdb27b2fad552b72635", "fetched_at": "2026-08-28T04:03:49.533320+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Linaom1214/TensorRT-For-YOLO-Series"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T06:31:36.735006+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "eddd545db415592aa9d23e84ff9904c5006bef109a6d7cdb27b2fad552b72635", "fetched_at": "2026-08-28T04:03:49.533320+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Linaom1214/TensorRT-For-YOLO-Series"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T06:31:36.735006+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "eddd545db415592aa9d23e84ff9904c5006bef109a6d7cdb27b2fad552b72635", "fetched_at": "2026-08-28T04:03:49.533320+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Linaom1214/TensorRT-For-YOLO-Series"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 47, "longevity": 100, "rhythm": 8}, "computed_at": "2026-09-02T17:46:02.011165+00:00", "flags": ["no_license"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 1743, "days_push": 322, "days_rel": 647, "gap_med": null, "n_releases_24m": 1}, "score": 44, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}