"# Memories: Photo Management for Nextcloud\n\nMemories is a *batteries-included* photo management solution for Nextcloud with advanced features including:\n\n- **📸 Timeline**: Sort photos and videos by date taken, parsed from Exif data.\n- **⏪ Rewind**: Jump to any time in the past instantly and relive your memories.\n- **🤖 AI Tagging**: Group photos by people and objects, powered by [recognize](https://github.com/nextcloud/recognize) and [facerecognition](https://github.com/matiasdelellis/facerecognition).\n- **🖼️ Albums**: Create albums to group photos and videos together. Then share these albums with others.\n- **🫱🏻🫲🏻 External Sharing**: Share photos and videos with people outside of your Nextcloud instance.\n- **📱 Mobile Support**: Work from any device, of any shape and size through the web app.\n- **✏️ Edit Metadata**: Edit dates and other metadata on photos quickly and in bulk.\n- **📦 Archive**: Store photos you don't want to see in your timeline in a separate folder.\n- **📹 Video Transcoding**: Transcode videos and use HLS for maximal performance.\n- **🗺️ Map**: View your photos on a map, tagged with accurate reverse geocoding.\n- **📦 Migration**: Migrate easily from Nextcloud Photos and Google Takeout.\n- **⚡️ Performance**: Do all this very fast.\n\n## 🚀 Installation\n\n1. Install the app from the Nextcloud app store (try a demo [here](https://demo.memories.gallery/apps/memories/)).\n1. Perform the recommended [configuration steps](https://memories.gallery/config/).\n1. Run `php occ memories:index` to generate metadata indices for existing photos.\n1. Open the 📷 Memories app in Nextcloud and set the directory containing your photos.":"Memories是一个全功能的照片管理解決方案，专为Nextcloud设计，具有高级功能，包括：\n\n- **📸 时间线**：按拍摄日期（从Exif数据解析）对照片和视频排序。\n- **⏪ 倒带**：立即跳转到过去的任何时间，重温您的记忆。\n- **🤖 AI标签**：通过[recognize](https://github.com/nextcloud/recognize) 和 [facerecognition](https://github.com/matiasdelellis/facerecognition) 驱动，将照片按人和物体分组。\n- **🖼️ 相册**：创建相册，将照片和视频组合在一起。然后与他人分享这些相册。\n- **🫱🏻🫲🏻 外部共享**：与Nextcloud实例之外的人分享照片和视频。\n- **📱 手机支持**：通过web应用程序可以在任何形状和大小的设备上工作。\n- **✏️ 编辑元数据**：快速批量编辑照片的日期和其他元数据。\n- **📦 归档**：将您不想在时间线上看到的照片存储在单独的文件夹中。\n- **📹 视频转码**：转码视频并使用HLS实现最大性能。\n- **🗺️ 地图**：通过精确的反向地理编码标记，您可以在地图上查看照片。\n- **📦 迁移**: 可以轻松的从Nextcloud Photos和Google Takeout迁移。\n- **⚡️ 性能**：所有这些都非常快速。\n\n## 🚀 安装\n\n1. 从Nextcloud应用商店安装应用程序（演示版 [here](https://memories-demo.radialapps.com/apps/memories/)）。\n1. 执行推荐的操作 [配置步骤]（https://memories.gallery/config/）。\n1. 执行 `php occ memories:index` 为现有照片生成元数据索引。\n1. 在 Nextcloud 中打开 📷 Memories（记忆）应用程序，设置包含照片的目录。",
"Last index job was run {t} seconds ago.":"最后一个索引作业在{t}秒前运行。",
"It took {t} seconds to complete.":"耗时{t}秒完成",
"It is still running or was interrupted.":"它仍在运行或被中断。",
"Only server-side encryption (OC_DEFAULT_MODULE) is supported, but another encryption module is enabled.":"仅支持服务器端加密(OC_DEFAULT_MODULE)，但已启用另一个加密模块。",
"The EXIF indexes are built and checked in a periodic background task. Be careful when selecting anything other than automatic indexing. For example, setting the indexing to only timeline folders may cause delays before media becomes available to users, since the user configures the timeline only after logging in.":"EXIF索引是在定期后台任务中构建和检查的。在选择自动索引以外的其他选项时要小心。例如，将索引仅设置为时间线文件夹可能会导致媒体对用户可用之前的延迟，因为用户只有在登录后才能配置时间线。",
"Folders with a \".nomedia\" file are always excluded from indexing.":"带有“.nomedia”文件的文件夹总是被排除在索引之外。",
"Index all media automatically (recommended)":"自动索引所有媒体（推荐）",
"You are accessing this page over an insecure context. Several browser APIs are not available, which will make Memories very slow. Enable HTTPS on your server to improve performance.":"您正在通过不安全的环境访问此页。一些浏览器api不可用，这将使“记忆”非常慢。在服务器上启用HTTPS可以提高性能。",
"HTTP/2 or HTTP/3 is enabled":"HTTP/2 或 HTTP/3 已启用",
"HTTP/2 or HTTP/3 is strongly recommended ({httpVer} detected)":"强烈建议使用 HTTP/2 或 HTTP/3 (检测到 {httpVer})",
"Database is populated with {n} geometries.":"数据库中自动增加了 {n} 个 geometries。",
"Geometry table has not been created.":"尚未创建 geometry 数据库表。",
"Looks like the planet data is incomplete.":"看起来地球数据是不完整的。",
"Reverse geocoding has not been configured ({status}).":"未配置反向地理编码 ({status})。",
"Memories supports offline reverse geocoding using the OpenStreetMaps data on MySQL and Postgres.":"“记忆”支持使用MySQL和Postgres上的OpenStreetMaps数据进行离线反向地理编码。",
"You need to download the planet data into your database. This is highly recommended and has low overhead.":"你需要将地球数据下载到你的数据库中。强烈推荐而且开销很低。",
"If the button below does not work for importing the planet data, use the following command:":"如果下面的按钮无法导入地球数据，请使用以下命令：",
"Note: the geometry data is stored in the memories_planet_geometry table, with no prefix.":"注意:geometry数据存储在memores_planet_geometry表中，没有前缀。",
"Geometry support was not detected in your database":"在数据库中未检测到Geometry支持",
"MySQL-like geometry support was detected ":"检测到类似mysql的Geometry支持",
"Postgres native geometry support was detected":"检测到Postgres原生Geometry支持",
"Looks like the database is already setup. Are you sure you want to redownload planet data?":"看起来数据库已经设置好了。你确定要重新下载地球数据吗？",
"You are about to download the planet database. This may take a while.":"您即将下载地球数据库。这可能需要一段时间。",
"This may also cause all photos to be re-indexed!":"这也可能导致所有的照片被重新索引！",
"Live transcoding provides for adaptive streaming of videos using HLS.":"实时转码使用HLS提供自适应串流。",
"Note that this may be very CPU intensive without hardware acceleration, and transcoding will not be used for external storage.":"请注意，如果没有硬件加速，这可能会非常占用CPU资源，并且外部存储无法使用转码。",
"Enable Transcoding":"启用转码",
"ffmpeg path":"ffmpeg路径",
"ffprobe path":"ffprobe路径",
"Global default video quality (user may override)":"全局默认视频质量(用户可以修改)",
"Auto (adaptive transcode)":"自动（自适应转码）",
"Original (transcode with max quality)":"原始（以最高质量转码）",
"Direct (original video file without transcode)":"直接（不带转码的原始视频文件）",
"You must first make sure the correct drivers are installed before configuring acceleration.":"在配置硬件加速之前，必须首先确保安装了正确的驱动程序。",
"Make sure you test hardware acceleration with various options after enabling.":"确保在启用后使用各种选项测试硬件加速。",
"Do not enable multiple types of hardware acceleration simultaneously.":"请勿同时启用多种类型的硬件加速。",
"Intel processors supporting QuickSync Video (QSV) as well as some AMD GPUs can be used for transcoding using VA-API acceleration.":"支持QuickSync Video (QSV)的Intel处理器以及一些AMD GPU可以使用VA-API加速进行转码。",
"For more details on driver installation, check the documentation:":"有关驱动程序安装的更多详细信息，请查看文档：",
"Enable acceleration with VA-API":"启用VA-API加速",
"NVIDIA GPUs can be used for transcoding using the NVENC encoder with the proper drivers.":"NVIDIA GPU可以使用带有适当驱动程序的NVENC编码器进行转码。",
"Depending on the versions of the installed SDK and ffmpeg, you need to specify the scaler to use":"根据安装的SDK和ffmpeg的版本，您需要指定要使用的scaler",
"No automated tests are available for NVIDIA acceleration.":"没有可用于NVIDIA加速的自动测试。",
"Memories uses the go-vod transcoder. You can run go-vod exernally (e.g. in a separate Docker container for hardware acceleration) or use the built-in transcoder. To use an external transcoder, enable the following option and follow the instructions in the documentation:":"“记忆”使用go-vod转码器。你可以在外部运行go-vod（例如，在一个独立的Docker容器中进行硬件加速）或使用内置的转码器。要使用外部转码器，请启用以下选项并按照文档中的说明操作：",
