技能创建器
skill-creator
创建、改进和评估自定义技能,把专业流程转化为可重复使用的 AI 能力。
detection-and-demography【数据与研究】Use DeepFace face extraction, detector backends, landmark outputs, demographic analysis, anti-spoofing, and enforce-detection recovery.
独立 GitHub 快照 · 自动分类 · 以原作者文档为准
Use this sub-skill when the user task needs DeepFace.extract_faces, DeepFace.analyze, detector_backend, align, expand_percentage, color_face, normalize_face, anti_spoofing, max_faces, age/gender/race/emotion actions, output dictionaries, and batch shapes.
Verification/embedding/search workflows go to ../recognition-workflows/SKILL.md; optional detector installs go to ../model-and-backend-selection/SKILL.md; REST and streaming go to ../api-service/SKILL.md.
from deepface import DeepFace works; otherwise use ../../references/troubleshooting.md.references/api-reference.md documents signatures, parameters, outputs, and API-specific behavior for this sub-skill.references/workflows.md or the focused workflow reference contains practical recipes and decision patterns.references/troubleshooting.md maps common errors to concrete recovery steps.scripts/check_detection_inputs.py is the safe bundled helper for this sub-skill.Do not tell future agents to open or run original repository tests, examples, notebooks, scripts, or local checkout files. Use this self-contained sub-skill, its references, and its bundled helper scripts instead.