{"adoption": {"forks": 280, "observed_at": "2026-08-28T04:03:48.178416+00:00", "stars": 1156}, "canonical_url": "https://ross.abutalabs.com/products/lprnet_pytorch", "card": {"archived": false, "artifact_type": "library", "description": "Pytorch Implementation For LPRNet, A High Performance And Lightweight License Plate Recognition Framework. ", "domain": ["computer-vision", "image-processing", "deep-learning", "machine-learning"], "enriched": true, "function": ["machine-learning", "deep-learning", "computer-vision", "ocr", "image-processing"], "health_score": 20, "homepage": null, "language": "Python", "license": "Apache-2.0", "license_family": "permissive", "maturity": "stable", "member_repos": ["sirius-ai/LPRNet_Pytorch"], "name": "sirius-ai/LPRNet_Pytorch", "platform": ["python", "cross-platform"], "pushed_at": "2023-06-21T13:37:25+00:00", "repo": "sirius-ai/LPRNet_Pytorch", "stars": 1156, "tags": ["license-plate-recognition", "lprnet", "pytorch", "ctc-loss", "alpr", "pretrained-model"], "topics": ["license-plate-recognition", "plate-recognition", "plate-detection", "lprnet", "pytorch", "ctc-loss"], "urls": [], "use_cases": ["recognize license plates from images", "train a license plate recognition model on my own dataset", "run lightweight ALPR inference on a GPU", "fine-tune plate recognition for other countries' plates", "test LPRNet accuracy on a custom plate dataset"], "what_it_is": "A PyTorch implementation of LPRNet, a lightweight deep neural network for license plate recognition. It ships with pretrained weights focused on Chinese blue and green (new energy) plates and supports training on custom datasets.", "when_to_avoid": ["you need full ALPR pipelines including plate detection and localization out of the box", "you need production support, frequent updates, or a maintained release cycle", "you need recognition of many international plate formats without training data"], "when_to_choose": ["you need fast, lightweight license plate character recognition (1.7MB model, sub-millisecond GPU inference)", "you work primarily with Chinese blue/green plates or can fine-tune for others", "you want a PyTorch codebase with pretrained weights to build on"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/lprnet_pytorch", "repo": "sirius-ai/LPRNet_Pytorch", "role": "main", "score": 32}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:03:48.178416+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T06:32:09.356460+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "ec6de3b366d408446ef66370a89fea7f9db3c238a76bc953bcdde49d78351245", "fetched_at": "2026-08-28T04:03:48.178416+00:00", "kind": "readme", "missing": false, "url": "https://github.com/sirius-ai/LPRNet_Pytorch"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:03:48.178416+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T06:32:09.356460+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "ec6de3b366d408446ef66370a89fea7f9db3c238a76bc953bcdde49d78351245", "fetched_at": "2026-08-28T04:03:48.178416+00:00", "kind": "readme", "missing": false, "url": "https://github.com/sirius-ai/LPRNet_Pytorch"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T06:32:09.356460+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "ec6de3b366d408446ef66370a89fea7f9db3c238a76bc953bcdde49d78351245", "fetched_at": "2026-08-28T04:03:48.178416+00:00", "kind": "readme", "missing": false, "url": "https://github.com/sirius-ai/LPRNet_Pytorch"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:03:48.178416+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:03:48.178416+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:03:48.178416+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T06:32:09.356460+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "ec6de3b366d408446ef66370a89fea7f9db3c238a76bc953bcdde49d78351245", "fetched_at": "2026-08-28T04:03:48.178416+00:00", "kind": "readme", "missing": false, "url": "https://github.com/sirius-ai/LPRNet_Pytorch"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:03:48.178416+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:03:48.178416+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T06:32:09.356460+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "ec6de3b366d408446ef66370a89fea7f9db3c238a76bc953bcdde49d78351245", "fetched_at": "2026-08-28T04:03:48.178416+00:00", "kind": "readme", "missing": false, "url": "https://github.com/sirius-ai/LPRNet_Pytorch"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:03:48.178416+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:03:48.178416+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:03:48.178416+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T06:32:09.356460+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "ec6de3b366d408446ef66370a89fea7f9db3c238a76bc953bcdde49d78351245", "fetched_at": "2026-08-28T04:03:48.178416+00:00", "kind": "readme", "missing": false, "url": "https://github.com/sirius-ai/LPRNet_Pytorch"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:03:48.178416+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:03:48.178416+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T06:32:09.356460+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "ec6de3b366d408446ef66370a89fea7f9db3c238a76bc953bcdde49d78351245", "fetched_at": "2026-08-28T04:03:48.178416+00:00", "kind": "readme", "missing": false, "url": "https://github.com/sirius-ai/LPRNet_Pytorch"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T06:32:09.356460+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "ec6de3b366d408446ef66370a89fea7f9db3c238a76bc953bcdde49d78351245", "fetched_at": "2026-08-28T04:03:48.178416+00:00", "kind": "readme", "missing": false, "url": "https://github.com/sirius-ai/LPRNet_Pytorch"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T06:32:09.356460+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "ec6de3b366d408446ef66370a89fea7f9db3c238a76bc953bcdde49d78351245", "fetched_at": "2026-08-28T04:03:48.178416+00:00", "kind": "readme", "missing": false, "url": "https://github.com/sirius-ai/LPRNet_Pytorch"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T06:32:09.356460+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "ec6de3b366d408446ef66370a89fea7f9db3c238a76bc953bcdde49d78351245", "fetched_at": "2026-08-28T04:03:48.178416+00:00", "kind": "readme", "missing": false, "url": "https://github.com/sirius-ai/LPRNet_Pytorch"}], "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": 2678, "days_push": 1169, "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}}