{"adoption": {"forks": 207, "observed_at": "2026-08-28T04:04:36.271351+00:00", "stars": 1393}, "canonical_url": "https://ross.abutalabs.com/products/mprnet", "card": {"archived": false, "artifact_type": "library", "description": "[CVPR 2021] Multi-Stage Progressive Image Restoration. SOTA results for Image deblurring, deraining, and denoising.", "domain": ["computer-vision", "image-processing", "deep-learning", "machine-learning"], "enriched": true, "function": ["image-processing", "machine-learning", "deep-learning"], "health_score": 20, "homepage": null, "language": "Python", "license": "NOASSERTION", "license_family": "other", "maturity": "maintenance", "member_repos": ["swz30/MPRNet"], "name": "swz30/MPRNet", "platform": ["python", "cross-platform"], "pushed_at": "2024-04-18T08:04:26+00:00", "repo": "swz30/MPRNet", "stars": 1393, "tags": ["image-restoration", "image-deblurring", "image-denoising", "image-deraining", "pytorch", "cvpr-2021", "low-level-vision", "research-code", "gpu", "linux"], "topics": ["image-deblurring", "image-denoising", "image-deraining", "low-level-vision", "computer-vision", "image-restoration", "multistage-network", "progressive-restoration", "pytorch", "cvpr2021", "cvpr21", "cvpr-2021"], "urls": [], "use_cases": ["deblur blurry photos with a deep learning model", "remove rain streaks from images", "denoise noisy photographs", "train an image restoration network in PyTorch", "reproduce CVPR 2021 image restoration results", "restore degraded images with a pretrained model"], "what_it_is": "MPRNet is a PyTorch implementation of a multi-stage progressive image restoration network published at CVPR 2021. It provides pretrained models and training code for state-of-the-art image deblurring, deraining, and denoising.", "when_to_avoid": ["you need a production image-processing pipeline rather than research code", "you need general image enhancement beyond deblurring/deraining/denoising", "you require a permissive license - the license is non-standard"], "when_to_choose": ["you need strong deblurring, deraining, or denoising with pretrained weights", "you want a research baseline for low-level vision restoration", "you work in PyTorch and want a multi-stage restoration architecture"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/mprnet", "repo": "swz30/MPRNet", "role": "main", "score": 32}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:04:36.271351+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T04:39:30.360176+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "330dce1f4ca90d5cb4b4d0f8ace34416b332e66eb9021fb17663fc28a358f0a7", "fetched_at": "2026-08-28T04:04:36.271351+00:00", "kind": "readme", "missing": false, "url": "https://github.com/swz30/MPRNet"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:04:36.271351+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T04:39:30.360176+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "330dce1f4ca90d5cb4b4d0f8ace34416b332e66eb9021fb17663fc28a358f0a7", "fetched_at": "2026-08-28T04:04:36.271351+00:00", "kind": "readme", "missing": false, "url": "https://github.com/swz30/MPRNet"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T04:39:30.360176+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "330dce1f4ca90d5cb4b4d0f8ace34416b332e66eb9021fb17663fc28a358f0a7", "fetched_at": "2026-08-28T04:04:36.271351+00:00", "kind": "readme", "missing": false, "url": "https://github.com/swz30/MPRNet"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:04:36.271351+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:04:36.271351+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:04:36.271351+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T04:39:30.360176+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "330dce1f4ca90d5cb4b4d0f8ace34416b332e66eb9021fb17663fc28a358f0a7", "fetched_at": "2026-08-28T04:04:36.271351+00:00", "kind": "readme", "missing": false, "url": "https://github.com/swz30/MPRNet"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:04:36.271351+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:04:36.271351+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T04:39:30.360176+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "330dce1f4ca90d5cb4b4d0f8ace34416b332e66eb9021fb17663fc28a358f0a7", "fetched_at": "2026-08-28T04:04:36.271351+00:00", "kind": "readme", "missing": false, "url": "https://github.com/swz30/MPRNet"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:04:36.271351+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:04:36.271351+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:04:36.271351+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T04:39:30.360176+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "330dce1f4ca90d5cb4b4d0f8ace34416b332e66eb9021fb17663fc28a358f0a7", "fetched_at": "2026-08-28T04:04:36.271351+00:00", "kind": "readme", "missing": false, "url": "https://github.com/swz30/MPRNet"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:04:36.271351+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:04:36.271351+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T04:39:30.360176+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "330dce1f4ca90d5cb4b4d0f8ace34416b332e66eb9021fb17663fc28a358f0a7", "fetched_at": "2026-08-28T04:04:36.271351+00:00", "kind": "readme", "missing": false, "url": "https://github.com/swz30/MPRNet"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T04:39:30.360176+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "330dce1f4ca90d5cb4b4d0f8ace34416b332e66eb9021fb17663fc28a358f0a7", "fetched_at": "2026-08-28T04:04:36.271351+00:00", "kind": "readme", "missing": false, "url": "https://github.com/swz30/MPRNet"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T04:39:30.360176+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "330dce1f4ca90d5cb4b4d0f8ace34416b332e66eb9021fb17663fc28a358f0a7", "fetched_at": "2026-08-28T04:04:36.271351+00:00", "kind": "readme", "missing": false, "url": "https://github.com/swz30/MPRNet"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T04:39:30.360176+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "330dce1f4ca90d5cb4b4d0f8ace34416b332e66eb9021fb17663fc28a358f0a7", "fetched_at": "2026-08-28T04:04:36.271351+00:00", "kind": "readme", "missing": false, "url": "https://github.com/swz30/MPRNet"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 0, "longevity": 100, "rhythm": 35}, "computed_at": "2026-09-02T17:46:02.011165+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": 2036, "days_push": 867, "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}}