feat(wiki): ingest remaining subdirectories batch (51 files)
- Others: ChinaTextbook, Obsidian笔记系列, YouTube Channel ID, TikTok PM Django - Skills: GOG CLI, Last30Days, baoyu-skills - Vibe Coding: Cursor 2.0, Trae远程开发, Vibe-Kanban+OpenCode, vibe coding经验 - 微信公众号: 养虾日记1-5, AI时代赚钱 - 跨境电商: TikTok数据抓取, 选品策略, Superset Dashboard - AI目录补充: 20个文件 Source pages: 51 Entities: TapXWorld, VibeKanban, OpenCode, Trae, SourceGrounding等 Concepts: 自举Meta生成, 5大设计原则, MD5去重, 混合搜索等
This commit is contained in:
39
wiki/sources/用Docker安装Jellyfin.md
Normal file
39
wiki/sources/用Docker安装Jellyfin.md
Normal file
@@ -0,0 +1,39 @@
|
||||
---
|
||||
title: "用Docker安装Jellyfin"
|
||||
type: source
|
||||
tags: [jellyfin, docker, 媒体服务器, 视频]
|
||||
date: 2025-09-15
|
||||
---
|
||||
|
||||
## Source File
|
||||
- [[raw/Home Office/用Docker安装Jellyfin.md]]
|
||||
|
||||
## Summary
|
||||
- 核心主题:通过 Docker 在 NAS 上安装 Jellyfin 媒体服务器
|
||||
- 问题域:家庭媒体服务器
|
||||
- 方法/机制:使用 nyanmisaka/jellyfin 镜像(内置硬件转码支持),挂载媒体目录和 Intel GPU 设备
|
||||
- 结论/价值:开源媒体服务器,支持硬件转码和多设备客户端
|
||||
|
||||
## Key Claims
|
||||
- 镜像:nyanmisaka/jellyfin:latest,专为 NAS 优化,内置转码器
|
||||
- 端口:8096 (HTTP) + 7359 (UDP DLNA)
|
||||
- 挂载 /dev/dri 实现 Intel QuickSync 硬件转码
|
||||
- 媒体目录:/volume2/movie 和 /volume1/TV shows
|
||||
- 用户 1026:100 匹配 Synology NAS 普通用户权限
|
||||
|
||||
## Key Quotes
|
||||
> "/dev/dri:/dev/dri" — Intel GPU 硬件转码的关键设备挂载
|
||||
|
||||
## Key Concepts
|
||||
- [[Jellyfin]]:开源媒体服务器,自动刮削电影电视剧元数据
|
||||
- [[硬件转码]]:Intel QuickSync 利用 GPU 加速视频转码
|
||||
- [[DLNA]]:局域网媒体共享协议
|
||||
|
||||
## Key Entities
|
||||
- [[Synology NAS]]:Jellyfin 宿主机
|
||||
|
||||
## Connections
|
||||
- [[Synology NAS]] ← runs ← [[Jellyfin]]
|
||||
|
||||
## Contradictions
|
||||
- 无
|
||||
Reference in New Issue
Block a user