{"adoption": {"forks": 554, "observed_at": "2026-08-28T04:06:06.132108+00:00", "stars": 2017}, "canonical_url": "https://ross.abutalabs.com/products/sfmlearner", "card": {"archived": false, "artifact_type": "library", "description": "An unsupervised learning framework for depth and ego-motion estimation from monocular videos", "domain": ["computer-vision", "deep-learning", "autonomous-vehicles", "robotics"], "enriched": true, "function": ["deep-learning", "computer-vision", "machine-learning"], "health_score": 20, "homepage": null, "language": "Jupyter Notebook", "license": "MIT", "license_family": "permissive", "maturity": "maintenance", "member_repos": ["tinghuiz/SfMLearner"], "name": "tinghuiz/SfMLearner", "platform": ["python"], "pushed_at": "2021-10-26T05:58:09+00:00", "repo": "tinghuiz/SfMLearner", "stars": 2017, "tags": ["depth-estimation", "ego-motion", "visual-odometry", "self-supervised-learning", "monocular-video", "tensorflow", "research-code", "kitti", "cityscapes", "linux", "gpu"], "topics": ["deep-learning", "depth-prediction", "visual-odometry", "self-supervised-learning", "unsupervised-learning"], "urls": [], "use_cases": ["estimate depth from monocular video with a neural network", "train a self-supervised depth prediction model on KITTI", "predict camera ego-motion from image sequences", "run single-view depth prediction demo on pretrained model", "learn visual odometry without ground truth poses", "reproduce unsupervised SfM learning research results"], "what_it_is": "SfMLearner is a TensorFlow implementation of the CVPR 2017 paper 'Unsupervised Learning of Depth and Ego-Motion from Video'. It trains models to predict single-view depth and camera ego-motion from monocular video sequences without ground-truth labels.", "when_to_avoid": ["you need production-ready depth estimation with modern architectures", "you require recent TensorFlow or GPU stack support (built for TF 1.0 / CUDA 8)", "you need real-time visual odometry for deployment rather than research"], "when_to_choose": ["you need a research baseline for unsupervised depth and pose estimation", "you have monocular video from KITTI or Cityscapes and no labeled depth data", "you want to study or extend self-supervised structure-from-motion learning"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/sfmlearner", "repo": "tinghuiz/SfMLearner", "role": "main", "score": 32}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:06:06.132108+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T03:00:41.362909+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "6a650c86757514e14204c3e3a80755e81a26555dbc017f1e25ca017cbfba2224", "fetched_at": "2026-08-28T04:06:06.132108+00:00", "kind": "readme", "missing": false, "url": "https://github.com/tinghuiz/SfMLearner"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:06:06.132108+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T03:00:41.362909+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "6a650c86757514e14204c3e3a80755e81a26555dbc017f1e25ca017cbfba2224", "fetched_at": "2026-08-28T04:06:06.132108+00:00", "kind": "readme", "missing": false, "url": "https://github.com/tinghuiz/SfMLearner"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T03:00:41.362909+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "6a650c86757514e14204c3e3a80755e81a26555dbc017f1e25ca017cbfba2224", "fetched_at": "2026-08-28T04:06:06.132108+00:00", "kind": "readme", "missing": false, "url": "https://github.com/tinghuiz/SfMLearner"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:06:06.132108+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:06:06.132108+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:06:06.132108+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T03:00:41.362909+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "6a650c86757514e14204c3e3a80755e81a26555dbc017f1e25ca017cbfba2224", "fetched_at": "2026-08-28T04:06:06.132108+00:00", "kind": "readme", "missing": false, "url": "https://github.com/tinghuiz/SfMLearner"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:06:06.132108+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:06:06.132108+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T03:00:41.362909+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "6a650c86757514e14204c3e3a80755e81a26555dbc017f1e25ca017cbfba2224", "fetched_at": "2026-08-28T04:06:06.132108+00:00", "kind": "readme", "missing": false, "url": "https://github.com/tinghuiz/SfMLearner"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:06:06.132108+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:06:06.132108+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:06:06.132108+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T03:00:41.362909+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "6a650c86757514e14204c3e3a80755e81a26555dbc017f1e25ca017cbfba2224", "fetched_at": "2026-08-28T04:06:06.132108+00:00", "kind": "readme", "missing": false, "url": "https://github.com/tinghuiz/SfMLearner"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:06:06.132108+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:06:06.132108+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T03:00:41.362909+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "6a650c86757514e14204c3e3a80755e81a26555dbc017f1e25ca017cbfba2224", "fetched_at": "2026-08-28T04:06:06.132108+00:00", "kind": "readme", "missing": false, "url": "https://github.com/tinghuiz/SfMLearner"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T03:00:41.362909+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "6a650c86757514e14204c3e3a80755e81a26555dbc017f1e25ca017cbfba2224", "fetched_at": "2026-08-28T04:06:06.132108+00:00", "kind": "readme", "missing": false, "url": "https://github.com/tinghuiz/SfMLearner"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T03:00:41.362909+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "6a650c86757514e14204c3e3a80755e81a26555dbc017f1e25ca017cbfba2224", "fetched_at": "2026-08-28T04:06:06.132108+00:00", "kind": "readme", "missing": false, "url": "https://github.com/tinghuiz/SfMLearner"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T03:00:41.362909+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "6a650c86757514e14204c3e3a80755e81a26555dbc017f1e25ca017cbfba2224", "fetched_at": "2026-08-28T04:06:06.132108+00:00", "kind": "readme", "missing": false, "url": "https://github.com/tinghuiz/SfMLearner"}], "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": 3417, "days_push": 1772, "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}}