[{"data":1,"prerenderedAt":219},["ShallowReactive",2],{"repo-dvdmaru-kandong-zh-CN":3,"i18n-dvdmaru-kandong-zh-CN":216},{"mirrorPool":4,"detail":13,"relatedProjects":106},[5,9],{"key":6,"label":7,"base":8,"type":6},"github","mirror.github","https:\u002F\u002Fgithub.com\u002F",{"key":10,"label":11,"base":12,"type":10},"auto-proxy","mirror.autoProxy","https:\u002F\u002Fgithub.xxlab.tech\u002F",{"owner":14,"repo":15,"repoId":16,"repoUrl":17,"starCount":18,"language":19,"description":20,"languages":21,"screenshots":30,"homepage":31,"pushedAt":32,"ownerAvatar":33,"ownerName":34,"ownerBio":34,"lastSyncTime":35,"lastReleaseTime":36,"tags":37,"license":45,"category":46,"subgroup":47,"releases":48},"dvdmaru","kandong",1432239366,"https:\u002F\u002Fgithub.com\u002Fdvdmaru\u002Fkandong",0,"Lua","看懂 KanDong：邊播邊翻譯字幕的影片播放器（mpv＋本機或雲端 AI 翻譯，台灣繁中）",{"Lua":22,"Python":23,"HTML":24,"Shell":25,"PowerShell":26,"CSS":27,"JavaScript":28,"Batchfile":29},29.8,25.7,25.6,8.6,5.9,2.4,1.7,0.1,[],"https:\u002F\u002Fkandong.twtools.cc","2026-11-12","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F16411087?v=4","","2026-11-12T18:38:24.962105+00:00","2026-11-12T00:19:22Z",[38,39,40,41,42,43,44],"llama-cpp","mpv","subtitles","traditional-chinese","translation","video-player","whisper","MIT","tools","视频播放器",[49,66,80,93],{"tag":50,"publishAt":36,"semVer":51,"prerelease":53,"assets":54},"v0.4.0",[18,52,18],4,false,[55,61],{"fileName":56,"sizeMb":57,"sha256":58,"downloadCount":59,"originUrl":60},"KanDong-mac.zip",7.87,"5ce9342e76db65a4e3046da71d9b04426f958a6b7598090e992e4943ed4d2143",2,"https:\u002F\u002Fgithub.com\u002Fdvdmaru\u002Fkandong\u002Freleases\u002Fdownload\u002Fv0.4.0\u002FKanDong-mac.zip",{"fileName":62,"sizeMb":63,"sha256":64,"downloadCount":59,"originUrl":65},"KanDong-windows-x64.zip",139.45,"e9db70db51b582f11fd9598ce57f9c04d58e2c1572fe84fd476888b5ba5c3d41","https:\u002F\u002Fgithub.com\u002Fdvdmaru\u002Fkandong\u002Freleases\u002Fdownload\u002Fv0.4.0\u002FKanDong-windows-x64.zip",{"tag":67,"publishAt":68,"semVer":69,"prerelease":53,"assets":71},"v0.3.0","2026-11-01T04:56:12Z",[18,70,18],3,[72,76],{"fileName":56,"sizeMb":73,"sha256":74,"downloadCount":70,"originUrl":75},7.86,"1b146dff63cc6fa2bccc6d10adef95384dca9e09fb82c8ce9dac68efb2be13bf","https:\u002F\u002Fgithub.com\u002Fdvdmaru\u002Fkandong\u002Freleases\u002Fdownload\u002Fv0.3.0\u002FKanDong-mac.zip",{"fileName":62,"sizeMb":77,"sha256":78,"downloadCount":52,"originUrl":79},139.44,"e9c78bb70b0b10ba5faa9806997a6817c5d68af321d1860c4c04e372736b98ad","https:\u002F\u002Fgithub.com\u002Fdvdmaru\u002Fkandong\u002Freleases\u002Fdownload\u002Fv0.3.0\u002FKanDong-windows-x64.zip",{"tag":81,"publishAt":82,"semVer":83,"prerelease":53,"assets":84},"v0.2.0","2026-10-24T15:03:55Z",[18,59,18],[85,89],{"fileName":56,"sizeMb":86,"sha256":87,"downloadCount":70,"originUrl":88},7.84,"3cccc06d56222906cb4d9097e7bb33e652a816214d38d7451a980a7cf8a3068f","https:\u002F\u002Fgithub.com\u002Fdvdmaru\u002Fkandong\u002Freleases\u002Fdownload\u002Fv0.2.0\u002FKanDong-mac.zip",{"fileName":62,"sizeMb":90,"sha256":91,"downloadCount":70,"originUrl":92},139.42,"f5226f4e48f0809563aad0e4256e2a43fdce97ea25084b029bfc57d4beb766ff","https:\u002F\u002Fgithub.com\u002Fdvdmaru\u002Fkandong\u002Freleases\u002Fdownload\u002Fv0.2.0\u002FKanDong-windows-x64.zip",{"tag":94,"publishAt":95,"semVer":96,"prerelease":53,"assets":98},"v0.1.0","2026-10-24T14:15:28Z",[18,97,18],1,[99,102],{"fileName":56,"sizeMb":86,"sha256":100,"downloadCount":59,"originUrl":101},"7fb86ba02c0e3185b62938825d84dad9225aeb04d3dfeaf25541c29bb8f3921c","https:\u002F\u002Fgithub.com\u002Fdvdmaru\u002Fkandong\u002Freleases\u002Fdownload\u002Fv0.1.0\u002FKanDong-mac.zip",{"fileName":62,"sizeMb":103,"sha256":104,"downloadCount":70,"originUrl":105},101.14,"700c226091c49e416687ce97d0b3e420a89fbb96a79cd7f3a436e67c6e3a196f","https:\u002F\u002Fgithub.com\u002Fdvdmaru\u002Fkandong\u002Freleases\u002Fdownload\u002Fv0.1.0\u002FKanDong-windows-x64.zip",[107,125,147,165,183,202],{"owner":108,"repo":108,"repoId":109,"category":110,"subgroup":47,"language":111,"tags":112,"starCount":117,"ownerUid":118,"latestTag":119,"platforms":120,"lastReleaseTime":122,"downloadCount":123,"description":124},"iina",76838017,"media","Swift",[113,114,39,115,116,43],"hacktoberfest","macos","swift","video",47028,35151645,"v1.5.1",[121],"mac","2026-11-06T02:12:25Z",1996,"macOS平台现代化的视频播放器，基于mpv开发，支持macOS 11.0及以上版本，提供丰富的视频和音乐播放功能。",{"owner":126,"repo":127,"repoId":128,"category":110,"subgroup":47,"language":129,"tags":130,"starCount":140,"ownerUid":141,"latestTag":142,"platforms":143,"lastReleaseTime":144,"downloadCount":145,"description":146},"TeamNewPipe","NewPipe",41889031,"Java",[131,132,133,134,135,136,137,42,116,138,139],"4k","android","bandcamp","download-videos","newpipe","peertube","soundcloud","watch","youtube-video",40559,22159318,"v0.29.3",[132],"2026-11-10T09:52:10Z",12521,"一款轻量级的开源Android流媒体前端应用，用于从YouTube、YouTube Music、PeerTube等多个服务无广告地观看视频和收听音乐。",{"owner":148,"repo":39,"repoId":149,"category":110,"subgroup":47,"language":150,"tags":151,"starCount":157,"ownerUid":158,"latestTag":159,"platforms":160,"lastReleaseTime":162,"downloadCount":163,"description":164},"mpv-player",6201092,"C",[152,153,154,155,39,156,116],"audio","c","ffmpeg","mplayer","multimedia",37732,2550273,"v0.42.0",[161,121],"windows","2026-11-05T00:56:42Z",2348,"一款自由开源、轻量级的命令行媒体播放器，支持广泛的媒体文件格式、音视频编解码器和字幕类型，注重高性能和可定制性。",{"owner":166,"repo":167,"repoId":168,"category":110,"subgroup":47,"language":129,"tags":169,"starCount":176,"ownerUid":177,"latestTag":178,"platforms":179,"lastReleaseTime":180,"downloadCount":181,"description":182},"yuliskov","SmartTube",283211901,[132,170,171,172,173,174,175],"android-tv","android-tv-box","java","kotlin","retrofit2","rxjava-android",36241,5897464,"32.74",[132],"2026-11-12T06:02:11Z",2938,"一款专为 Android TV 设计的开源媒体客户端，支持 SponsorBlock、8K 分辨率等。",{"owner":184,"repo":185,"repoId":186,"category":110,"subgroup":47,"language":187,"tags":188,"starCount":194,"ownerUid":195,"latestTag":196,"platforms":197,"lastReleaseTime":199,"downloadCount":200,"description":201},"FreeTubeApp","FreeTube",123220152,"Vue",[189,190,191,116,192,193],"freetube","privacy","subscriptions","videos","youtube",22296,35975737,"v0.26.0-beta",[161,121,198],"linux","2026-11-02T08:37:57Z",21364,"一个开源的桌面 YouTube 播放器，以隐私保护为核心，无广告、无 Google 追踪。",{"owner":203,"repo":204,"repoId":205,"category":110,"subgroup":47,"language":206,"tags":207,"starCount":208,"ownerUid":209,"latestTag":210,"platforms":211,"lastReleaseTime":213,"downloadCount":214,"description":215},"clsid2","mpc-hc",91570348,"C++",[],16142,4704996,"2.8.5.14",[161,212],"other","2026-11-08T21:09:04Z",3132,"一款免费开源的 Windows 视频和音频播放器，以简洁有效的用户界面和丰富的功能著称，支持第三方滤镜扩展。",{"description":217,"readmeHtml":218},"看懂（KanDong）是一款基于 mpv 的桌面影片播放器，为外挂或内嵌字幕自动加上台湾繁中译文，并对无字幕影片做本机语音辨识后翻译。","\u003Ch2 id=\"项目概述\">项目概述\u003C\u002Fh2>\u003Cp>看懂由开发者 dvdmaru 维护，是 mpv 生态里专做台湾繁中双语字幕的一层播放器外壳。播放外语片时它在原文字幕下方追加繁中译文；没有字幕的片，先用 whisper.cpp 把音轨听写成字幕再翻译。翻译与语音识别都跑在本机，影片与字幕不上传，仓库本身也不提供片源、不下载字幕。\u003C\u002Fp>\n\u003Ctable>\n\u003Cthead>\n\u003Ctr>\n\u003Cth>项目\u003C\u002Fth>\n\u003Cth>内容\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\u003Ctr>\n\u003Ctd>平台\u003C\u002Ftd>\n\u003Ctd>Windows 10\u002F11 64 位、macOS（Apple 芯片）\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>播放核心\u003C\u002Ftd>\n\u003Ctd>mpv + uosc 5.13.0\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>翻译模型\u003C\u002Ftd>\n\u003Ctd>Hy-MT2 7B（约 4.6GB）或 1.8B（约 1.1GB）\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>当前版本\u003C\u002Ftd>\n\u003Ctd>0.3.0\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>许可\u003C\u002Ftd>\n\u003Ctd>MIT\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\u003C\u002Ftable>\n\u003Cblockquote>\n\u003Cp>片照常播，字幕自己在旁边变成你看得懂的语言。\u003C\u002Fp>\n\u003C\u002Fblockquote>\n\u003Ch2 id=\"主要功能\">主要功能\u003C\u002Fh2>\u003Cul>\n\u003Cli>\u003Cstrong>双语字幕\u003C\u002Fstrong>：\u003Ccode>.srt\u003C\u002Fcode>、\u003Ccode>.ass\u003C\u002Fcode>、\u003Ccode>.vtt\u003C\u002Fcode> 外挂字幕或 mkv 内嵌文字字幕，都在原文下方叠加繁中译文\u003C\u002Fli>\n\u003Cli>\u003Cstrong>整片预译\u003C\u002Fstrong>：开播前先把整部字幕翻完，播放时不必一句一句等\u003C\u002Fli>\n\u003Cli>\u003Cstrong>无字幕听写\u003C\u002Fstrong>：音轨交给 whisper.cpp 识别出字幕，再走同一套翻译流程\u003C\u002Fli>\n\u003Cli>\u003Cstrong>译文缓存\u003C\u002Fstrong>：结果写在影片同目录的 \u003Ccode>影片名.ft.zh-TW.json\u003C\u002Fcode> 与 \u003Ccode>影片名.srt\u003C\u002Fcode>，重看不重翻\u003C\u002Fli>\n\u003Cli>\u003Cstrong>台湾用语\u003C\u002Fstrong>：提示词按台湾繁中调整，口语、俚语与运动术语走意译而非逐字直翻\u003C\u002Fli>\n\u003Cli>\u003Cstrong>模型管理\u003C\u002Fstrong>：右键 → 设定 → 翻译模型与伺服器，可下载、切换模型或指定自己的 GGUF\u003C\u002Fli>\n\u003Cli>\u003Cstrong>外接翻译服务\u003C\u002Fstrong>：可连 Ollama、LM Studio 或区网另一台机器的 OpenAI 相容端点\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch2 id=\"播放与操作\">播放与操作\u003C\u002Fh2>\u003Ctable>\n\u003Cthead>\n\u003Ctr>\n\u003Cth>操作\u003C\u002Fth>\n\u003Cth>作用\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\u003Ctr>\n\u003Ctd>鼠标右键\u003C\u002Ftd>\n\u003Ctd>播放、字幕、音讯、翻译、倍速、设定菜单\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\u003Ccode>Ctrl+t\u003C\u002Fcode>\u003C\u002Ftd>\n\u003Ctd>翻译开 \u002F 关\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\u003Ccode>←\u003C\u002Fcode> \u002F \u003Ccode>→\u003C\u002Fcode>\u003C\u002Ftd>\n\u003Ctd>后退 \u002F 前进 5 秒，按住 \u003Ccode>Shift\u003C\u002Fcode> 为 30 秒\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\u003Ccode>1\u003C\u002Fcode>–\u003Ccode>5\u003C\u002Fcode>\u003C\u002Ftd>\n\u003Ctd>倍速 0.5x \u002F 1x \u002F 1.5x \u002F 2x \u002F 3x\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\u003Ccode>D\u003C\u002Fcode> \u002F \u003Ccode>A\u003C\u002Fcode> \u002F \u003Ccode>S\u003C\u002Fcode>\u003C\u002Ftd>\n\u003Ctd>加速 10% \u002F 减速 10% \u002F 回到 1x\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\u003Ccode>↑\u003C\u002Fcode> \u002F \u003Ccode>↓\u003C\u002Fcode>\u003C\u002Ftd>\n\u003Ctd>音量 ±5%\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\u003Ccode>v\u003C\u002Fcode>\u003C\u002Ftd>\n\u003Ctd>隐藏原文字幕，只看译文\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>空格 \u002F \u003Ccode>f\u003C\u002Fcode> \u002F \u003Ccode>q\u003C\u002Fcode>\u003C\u002Ftd>\n\u003Ctd>暂停 \u002F 全屏 \u002F 退出\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\u003C\u002Ftable>\n\u003Ch2 id=\"模型与翻译服务\">模型与翻译服务\u003C\u002Fh2>\u003Cul>\n\u003Cli>\u003Cstrong>内建下载\u003C\u002Fstrong>：7B、1.8B 与 Whisper large-v3-turbo（q5_0，约 574MB）都能在播放器里下载，支持续传与 SHA256 校验\u003C\u002Fli>\n\u003Cli>\u003Cstrong>模型来源\u003C\u002Fstrong>：\u003Ccode>models\u003C\u002Fcode> 文件夹、\u003Ccode>~\u002F.cache\u002Fkandong\u002Fmodels\u003C\u002Fcode> 与 LM Studio 的模型目录都会被自动列出\u003C\u002Fli>\n\u003Cli>\u003Cstrong>本机端点\u003C\u002Fstrong>：字幕送到 \u003Ccode>http:\u002F\u002F127.0.0.1:8080\u003C\u002Fcode> 的 \u003Ccode>\u002Fv1\u002Fchat\u002Fcompletions\u003C\u002Fcode>，由 \u003Ccode>server\u002Fstart-translate-server.sh\u003C\u002Fcode> 拉起 llama.cpp\u003C\u002Fli>\n\u003Cli>\u003Cstrong>共用模型\u003C\u002Fstrong>：语音辨识模型放在 \u003Ccode>~\u002F.cache\u002Ftwtools\u002Fmodels\u002F\u003C\u002Fcode>，与 Echoic 离线版共用一份，不重复下载\u003C\u002Fli>\n\u003Cli>\u003Cstrong>设定落盘\u003C\u002Fstrong>：模型选择记在 \u003Ccode>script-opts\u002Fkandong_settings.conf\u003C\u002Fcode>，伺服器地址在 \u003Ccode>floattranslate.conf\u003C\u002Fcode>\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch2 id=\"适用人群\">适用人群\u003C\u002Fh2>\u003Cul>\n\u003Cli>常看外语片、需要繁中字幕的人\u003C\u002Fli>\n\u003Cli>拿到无字幕片源也想直接看懂的人\u003C\u002Fli>\n\u003Cli>习惯 mpv 但不想自己写配置的用户\u003C\u002Fli>\n\u003Cli>在意隐私、不接受上传字幕的人\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch2 id=\"快速上手\">快速上手\u003C\u002Fh2>\u003Col>\n\u003Cli>解压 \u003Ccode>KanDong-windows-x64.zip\u003C\u002Fcode> 或 \u003Ccode>KanDong-mac.zip\u003C\u002Fcode>；Mac 版先执行 \u003Ccode>brew install mpv ffmpeg llama.cpp whisper-cpp\u003C\u002Fcode>\u003C\u002Fli>\n\u003Cli>双击「看懂」（Mac 为「看懂.command」），启动器先开翻译引擎，再开播放器\u003C\u002Fli>\n\u003Cli>右键 → 设定 → 翻译模型与伺服器，点「下载」取模型，首次使用必须先做这一步\u003C\u002Fli>\n\u003Cli>把影片拖进播放器窗口，有文字字幕的片会先整片翻好再播\u003C\u002Fli>\n\u003Cli>看无字幕影片时，把 Whisper 模型放进 \u003Ccode>models\u003C\u002Fcode> 或共用目录，播放时自动启用听写\u003C\u002Fli>\n\u003Cli>伺服器在另一台机器时，选「连到其他翻译伺服器」填网址与 API key，会先试翻一句再切换\u003C\u002Fli>\n\u003C\u002Fol>\n\u003Ch2 id=\"系统要求\">系统要求\u003C\u002Fh2>\u003Ctable>\n\u003Cthead>\n\u003Ctr>\n\u003Cth>项目\u003C\u002Fth>\n\u003Cth>要求\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\u003Ctr>\n\u003Ctd>操作系统\u003C\u002Ftd>\n\u003Ctd>Windows 10\u002F11 64 位；macOS（Apple 芯片）\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>内存\u003C\u002Ftd>\n\u003Ctd>7B 模型建议 16GB 以上，1.8B 约 8GB 可跑\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>磁盘\u003C\u002Ftd>\n\u003Ctd>模型占 574MB～4.6GB，另需存放译文字幕的空间\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>运行时依赖\u003C\u002Ftd>\n\u003Ctd>Windows 包已含 mpv、FFmpeg、llama.cpp、whisper.cpp；Mac 用 Homebrew 安装\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>字幕范围\u003C\u002Ftd>\n\u003Ctd>mpv 支持的文字字幕轨，不含 PGS 等图形字幕识别\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\u003C\u002Ftable>\n\u003Ch2 id=\"注意事项\">注意事项\u003C\u002Fh2>\u003Cul>\n\u003Cli>\u003Cstrong>图形字幕不识别\u003C\u002Fstrong>：蓝光 PGS 一类图形字幕不做 OCR，这类片只能走语音辨识\u003C\u002Fli>\n\u003Cli>\u003Cstrong>人名多为音译\u003C\u002Fstrong>：\u003Ccode>Marcus\u003C\u002Fcode> 之类人名常被译成音近汉字，换更大的模型也一样\u003C\u002Fli>\n\u003Cli>\u003Cstrong>串流平台用不上\u003C\u002Fstrong>：不下载字幕、不拦截串流、不破 DRM，Netflix 一类服务拿不到字幕轨\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Windows 端验证较少\u003C\u002Fstrong>：设定菜单的下载与换模型只在 Mac 实机跑通过，Windows 上行为可能不同\u003C\u002Fli>\n\u003C\u002Ful>\n",1794593626668]