{"adoption": {"forks": 318, "observed_at": "2026-08-28T04:04:54.685904+00:00", "stars": 1503}, "canonical_url": "https://ross.abutalabs.com/products/rcan", "card": {"archived": false, "artifact_type": "library", "description": "PyTorch code for our ECCV 2018 paper \"Image Super-Resolution Using Very Deep Residual Channel Attention Networks\" ", "domain": ["computer-vision", "image-processing", "deep-learning"], "enriched": true, "function": ["machine-learning", "image-processing", "deep-learning"], "health_score": 29, "homepage": null, "language": "Python", "license": null, "license_family": "other", "maturity": "maintenance", "member_repos": ["yulunzhang/RCAN"], "name": "yulunzhang/RCAN", "platform": ["python"], "pushed_at": "2025-04-01T05:43:22+00:00", "repo": "yulunzhang/RCAN", "stars": 1503, "tags": ["super-resolution", "pytorch", "channel-attention", "eccv-2018", "research-code", "linux", "gpu"], "topics": [], "urls": [], "use_cases": ["upscale low-resolution images with a deep learning model", "train a super-resolution network on DIV2K", "reproduce RCAN PSNR/SSIM benchmark results", "compare channel attention architectures for image restoration", "get pretrained super-resolution models for scales 2-8"], "what_it_is": "PyTorch implementation of RCAN, a very deep residual channel attention network for single image super-resolution from an ECCV 2018 paper. It provides training and testing code built on the ESR-PyTorch codebase, plus pretrained visual results for scales 2, 3, 4, and 8.", "when_to_avoid": ["you need a maintained production library with a license and active support", "you want a simple CLI upscaler without setting up training data and PyTorch 0.4-era dependencies", "you need super-resolution on CPU or in a browser"], "when_to_choose": ["you need a well-cited reference implementation of channel attention for super-resolution", "you want to reproduce ECCV 2018 paper results or build on RCAN architecture", "you have a CUDA GPU and want to train or test SR models in PyTorch"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/rcan", "repo": "yulunzhang/RCAN", "role": "main", "score": 39}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:04:54.685904+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T04:32:50.944817+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "f32e819279fed8e20fe30dc131eecaf2b1a37215c41b00aef0213c263a25cb6f", "fetched_at": "2026-08-28T04:04:54.685904+00:00", "kind": "readme", "missing": false, "url": "https://github.com/yulunzhang/RCAN"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:04:54.685904+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T04:32:50.944817+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "f32e819279fed8e20fe30dc131eecaf2b1a37215c41b00aef0213c263a25cb6f", "fetched_at": "2026-08-28T04:04:54.685904+00:00", "kind": "readme", "missing": false, "url": "https://github.com/yulunzhang/RCAN"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T04:32:50.944817+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "f32e819279fed8e20fe30dc131eecaf2b1a37215c41b00aef0213c263a25cb6f", "fetched_at": "2026-08-28T04:04:54.685904+00:00", "kind": "readme", "missing": false, "url": "https://github.com/yulunzhang/RCAN"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:04:54.685904+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:04:54.685904+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:04:54.685904+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T04:32:50.944817+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "f32e819279fed8e20fe30dc131eecaf2b1a37215c41b00aef0213c263a25cb6f", "fetched_at": "2026-08-28T04:04:54.685904+00:00", "kind": "readme", "missing": false, "url": "https://github.com/yulunzhang/RCAN"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:04:54.685904+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:04:54.685904+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T04:32:50.944817+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "f32e819279fed8e20fe30dc131eecaf2b1a37215c41b00aef0213c263a25cb6f", "fetched_at": "2026-08-28T04:04:54.685904+00:00", "kind": "readme", "missing": false, "url": "https://github.com/yulunzhang/RCAN"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:04:54.685904+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:04:54.685904+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:04:54.685904+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T04:32:50.944817+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "f32e819279fed8e20fe30dc131eecaf2b1a37215c41b00aef0213c263a25cb6f", "fetched_at": "2026-08-28T04:04:54.685904+00:00", "kind": "readme", "missing": false, "url": "https://github.com/yulunzhang/RCAN"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:04:54.685904+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:04:54.685904+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T04:32:50.944817+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "f32e819279fed8e20fe30dc131eecaf2b1a37215c41b00aef0213c263a25cb6f", "fetched_at": "2026-08-28T04:04:54.685904+00:00", "kind": "readme", "missing": false, "url": "https://github.com/yulunzhang/RCAN"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T04:32:50.944817+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "f32e819279fed8e20fe30dc131eecaf2b1a37215c41b00aef0213c263a25cb6f", "fetched_at": "2026-08-28T04:04:54.685904+00:00", "kind": "readme", "missing": false, "url": "https://github.com/yulunzhang/RCAN"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T04:32:50.944817+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "f32e819279fed8e20fe30dc131eecaf2b1a37215c41b00aef0213c263a25cb6f", "fetched_at": "2026-08-28T04:04:54.685904+00:00", "kind": "readme", "missing": false, "url": "https://github.com/yulunzhang/RCAN"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T04:32:50.944817+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "f32e819279fed8e20fe30dc131eecaf2b1a37215c41b00aef0213c263a25cb6f", "fetched_at": "2026-08-28T04:04:54.685904+00:00", "kind": "readme", "missing": false, "url": "https://github.com/yulunzhang/RCAN"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 14, "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": 2983, "days_push": 519, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 39, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}