{"adoption": {"forks": 295, "observed_at": "2026-08-28T04:05:22.216061+00:00", "stars": 1687}, "canonical_url": "https://ross.abutalabs.com/products/videosuperresolution", "card": {"archived": false, "artifact_type": "library", "description": "A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow. ", "domain": ["computer-vision", "image-processing", "deep-learning", "machine-learning"], "enriched": true, "function": ["machine-learning", "image-processing", "video-processing", "deep-learning"], "health_score": 20, "homepage": null, "language": "Python", "license": "MIT", "license_family": "permissive", "maturity": "maintenance", "member_repos": ["LoSealL/VideoSuperResolution"], "name": "LoSealL/VideoSuperResolution", "platform": ["python", "cross-platform"], "pushed_at": "2020-09-11T14:36:45+00:00", "repo": "LoSealL/VideoSuperResolution", "stars": 1687, "tags": ["super-resolution", "tensorflow", "pytorch", "srgan", "edsr", "vdsr", "video-upscaling", "image-upscaling", "pretrained-models", "video"], "topics": ["super-resolution", "tensorflow", "srcnn", "dncnn", "vdsr", "srgan", "rdn", "srmd", "dbpn", "edsr", "carn", "rcan", "vespcn", "vsr", "frvsr", "pytorch", "ntire2019"], "urls": [], "use_cases": ["upscale low-resolution videos with deep learning", "enhance resolution of single images using SR models", "compare super-resolution architectures like EDSR and SRGAN", "reproduce benchmark results from NTIRE super-resolution papers", "run pretrained super-resolution models in TensorFlow", "experiment with video super-resolution networks like VESPCN"], "what_it_is": "A Python library (pip-installable as VSR) collecting reimplementation of state-of-the-art single-image and video super-resolution neural network architectures in TensorFlow, with some PyTorch ports. It includes many classic models such as SRCNN, VDSR, EDSR, SRGAN, and DBPN, some with downloadable pretrained weights.", "when_to_avoid": ["you need production-grade, actively maintained upscaling software", "you require the latest 2021+ architectures or GPU-optimized inference", "you work outside Python/TensorFlow ecosystems"], "when_to_choose": ["you want many SR architectures implemented in one consistent framework", "you need a pip-installable super-resolution library with pretrained weights", "you are researching or benchmarking image/video upscaling models"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/videosuperresolution", "repo": "LoSealL/VideoSuperResolution", "role": "main", "score": 23}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:05:22.216061+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T03:38:50.429230+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "8b99e356754a315a67a5fc93abee8546db2d08d28e14ed5e87ab2b689f7a10fb", "fetched_at": "2026-08-28T04:05:22.216061+00:00", "kind": "readme", "missing": false, "url": "https://github.com/LoSealL/VideoSuperResolution"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:05:22.216061+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T03:38:50.429230+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "8b99e356754a315a67a5fc93abee8546db2d08d28e14ed5e87ab2b689f7a10fb", "fetched_at": "2026-08-28T04:05:22.216061+00:00", "kind": "readme", "missing": false, "url": "https://github.com/LoSealL/VideoSuperResolution"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T03:38:50.429230+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "8b99e356754a315a67a5fc93abee8546db2d08d28e14ed5e87ab2b689f7a10fb", "fetched_at": "2026-08-28T04:05:22.216061+00:00", "kind": "readme", "missing": false, "url": "https://github.com/LoSealL/VideoSuperResolution"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:05:22.216061+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:05:22.216061+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:05:22.216061+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T03:38:50.429230+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "8b99e356754a315a67a5fc93abee8546db2d08d28e14ed5e87ab2b689f7a10fb", "fetched_at": "2026-08-28T04:05:22.216061+00:00", "kind": "readme", "missing": false, "url": "https://github.com/LoSealL/VideoSuperResolution"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:05:22.216061+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:05:22.216061+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T03:38:50.429230+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "8b99e356754a315a67a5fc93abee8546db2d08d28e14ed5e87ab2b689f7a10fb", "fetched_at": "2026-08-28T04:05:22.216061+00:00", "kind": "readme", "missing": false, "url": "https://github.com/LoSealL/VideoSuperResolution"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:05:22.216061+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:05:22.216061+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:05:22.216061+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T03:38:50.429230+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "8b99e356754a315a67a5fc93abee8546db2d08d28e14ed5e87ab2b689f7a10fb", "fetched_at": "2026-08-28T04:05:22.216061+00:00", "kind": "readme", "missing": false, "url": "https://github.com/LoSealL/VideoSuperResolution"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:05:22.216061+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:05:22.216061+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T03:38:50.429230+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "8b99e356754a315a67a5fc93abee8546db2d08d28e14ed5e87ab2b689f7a10fb", "fetched_at": "2026-08-28T04:05:22.216061+00:00", "kind": "readme", "missing": false, "url": "https://github.com/LoSealL/VideoSuperResolution"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T03:38:50.429230+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "8b99e356754a315a67a5fc93abee8546db2d08d28e14ed5e87ab2b689f7a10fb", "fetched_at": "2026-08-28T04:05:22.216061+00:00", "kind": "readme", "missing": false, "url": "https://github.com/LoSealL/VideoSuperResolution"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T03:38:50.429230+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "8b99e356754a315a67a5fc93abee8546db2d08d28e14ed5e87ab2b689f7a10fb", "fetched_at": "2026-08-28T04:05:22.216061+00:00", "kind": "readme", "missing": false, "url": "https://github.com/LoSealL/VideoSuperResolution"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T03:38:50.429230+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "8b99e356754a315a67a5fc93abee8546db2d08d28e14ed5e87ab2b689f7a10fb", "fetched_at": "2026-08-28T04:05:22.216061+00:00", "kind": "readme", "missing": false, "url": "https://github.com/LoSealL/VideoSuperResolution"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 0, "longevity": 100, "rhythm": 8}, "computed_at": "2026-09-02T17:46:02.011165+00:00", "flags": [], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 3012, "days_push": 2182, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 23, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}