{"adoption": {"forks": 390, "observed_at": "2026-08-28T04:07:06.369772+00:00", "stars": 2638}, "canonical_url": "https://ross.abutalabs.com/products/cv_note", "card": {"archived": false, "artifact_type": "learning-resource", "description": "记录cv算法工程师的成长之路，分享计算机视觉和模型压缩部署技术栈笔记。https://harleyszhang.github.io/cv_note/", "domain": ["computer-vision", "deep-learning", "tutorials", "education"], "enriched": true, "function": ["machine-learning", "deep-learning", "developer-tools"], "health_score": 69, "homepage": null, "language": "Python", "license": "Apache-2.0", "license_family": "permissive", "maturity": "active", "member_repos": ["harleyszhang/cv_note"], "name": "harleyszhang/cv_note", "platform": ["python", "cpp", "cross-platform"], "pushed_at": "2026-05-10T10:31:11+00:00", "repo": "harleyszhang/cv_note", "stars": 2638, "tags": ["cv-notes", "model-compression", "model-deployment", "interview-preparation", "study-notes", "llm-inference"], "topics": ["deep-learning", "interview-questions", "computer-vision", "machine-learning-algorithms", "cpp11", "python3"], "urls": [], "use_cases": ["prepare for computer vision algorithm engineer interviews", "learn model compression and quantization techniques", "study model deployment on embedded devices", "review deep learning fundamentals and interview questions", "follow a structured CV engineer learning roadmap"], "what_it_is": "A curated collection of study notes documenting the growth path of a computer vision algorithm engineer, covering deep learning fundamentals, model compression, and deployment techniques. It also promotes a paid course on building an LLM inference framework with Triton and PyTorch.", "when_to_avoid": ["you need production-ready CV software or libraries", "you want English-language documentation", "you need a maintained tool rather than study notes"], "when_to_choose": ["you want free, organized notes on CV algorithms and model deployment", "you are preparing for algorithm engineer job interviews", "you prefer Chinese-language learning material for computer vision"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/cv_note", "repo": "harleyszhang/cv_note", "role": "main", "score": 69}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:07:06.369772+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T02:19:11.764845+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "68abaeca0d5687402668b077d266527c36172b77895dec3f78d7cc6dc7c68e24", "fetched_at": "2026-08-28T04:07:06.369772+00:00", "kind": "readme", "missing": false, "url": "https://github.com/harleyszhang/cv_note"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:07:06.369772+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T02:19:11.764845+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "68abaeca0d5687402668b077d266527c36172b77895dec3f78d7cc6dc7c68e24", "fetched_at": "2026-08-28T04:07:06.369772+00:00", "kind": "readme", "missing": false, "url": "https://github.com/harleyszhang/cv_note"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T02:19:11.764845+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "68abaeca0d5687402668b077d266527c36172b77895dec3f78d7cc6dc7c68e24", "fetched_at": "2026-08-28T04:07:06.369772+00:00", "kind": "readme", "missing": false, "url": "https://github.com/harleyszhang/cv_note"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:07:06.369772+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:07:06.369772+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:07:06.369772+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T02:19:11.764845+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "68abaeca0d5687402668b077d266527c36172b77895dec3f78d7cc6dc7c68e24", "fetched_at": "2026-08-28T04:07:06.369772+00:00", "kind": "readme", "missing": false, "url": "https://github.com/harleyszhang/cv_note"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:07:06.369772+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:07:06.369772+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T02:19:11.764845+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "68abaeca0d5687402668b077d266527c36172b77895dec3f78d7cc6dc7c68e24", "fetched_at": "2026-08-28T04:07:06.369772+00:00", "kind": "readme", "missing": false, "url": "https://github.com/harleyszhang/cv_note"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:07:06.369772+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:07:06.369772+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:07:06.369772+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T02:19:11.764845+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "68abaeca0d5687402668b077d266527c36172b77895dec3f78d7cc6dc7c68e24", "fetched_at": "2026-08-28T04:07:06.369772+00:00", "kind": "readme", "missing": false, "url": "https://github.com/harleyszhang/cv_note"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:07:06.369772+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:07:06.369772+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T02:19:11.764845+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "68abaeca0d5687402668b077d266527c36172b77895dec3f78d7cc6dc7c68e24", "fetched_at": "2026-08-28T04:07:06.369772+00:00", "kind": "readme", "missing": false, "url": "https://github.com/harleyszhang/cv_note"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T02:19:11.764845+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "68abaeca0d5687402668b077d266527c36172b77895dec3f78d7cc6dc7c68e24", "fetched_at": "2026-08-28T04:07:06.369772+00:00", "kind": "readme", "missing": false, "url": "https://github.com/harleyszhang/cv_note"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T02:19:11.764845+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "68abaeca0d5687402668b077d266527c36172b77895dec3f78d7cc6dc7c68e24", "fetched_at": "2026-08-28T04:07:06.369772+00:00", "kind": "readme", "missing": false, "url": "https://github.com/harleyszhang/cv_note"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T02:19:11.764845+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "68abaeca0d5687402668b077d266527c36172b77895dec3f78d7cc6dc7c68e24", "fetched_at": "2026-08-28T04:07:06.369772+00:00", "kind": "readme", "missing": false, "url": "https://github.com/harleyszhang/cv_note"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 81, "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": 2721, "days_push": 115, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 69, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}