From 17912b4695b92f6aae105687ee551a1f30539f0d Mon Sep 17 00:00:00 2001
From: GuoQing Liu <842607283@qq.com>
Date: Sun, 30 Mar 2025 18:55:26 +0800
Subject: [PATCH] update chinese i18n (#17450)

---
 web/public/locales/zh-CN/views/faceLibrary.json |  1 +
 web/public/locales/zh-CN/views/settings.json    | 16 +++++++++++-----
 web/public/locales/zh-CN/views/system.json      |  7 ++++---
 3 files changed, 16 insertions(+), 8 deletions(-)

diff --git a/web/public/locales/zh-CN/views/faceLibrary.json b/web/public/locales/zh-CN/views/faceLibrary.json
index 76a98bf31..f2dba6fc3 100644
--- a/web/public/locales/zh-CN/views/faceLibrary.json
+++ b/web/public/locales/zh-CN/views/faceLibrary.json
@@ -16,6 +16,7 @@
   "createFaceLibrary": {
     "title": "创建人脸库",
     "desc": "创建一个新的人脸库",
+    "new": "新建人脸",
     "nextSteps": "建议使用“训练”选项卡为每个检测到的人选择并训练图像。在打好基础前，强烈建议训练仅使用正面图像。而不是从摄像机中识别到的角度拍摄的人脸图像。"
   },
   "train": {
diff --git a/web/public/locales/zh-CN/views/settings.json b/web/public/locales/zh-CN/views/settings.json
index 0c1087916..779d4ca28 100644
--- a/web/public/locales/zh-CN/views/settings.json
+++ b/web/public/locales/zh-CN/views/settings.json
@@ -87,9 +87,15 @@
       "title": "语义搜索",
       "desc": "Frigate的语义搜索能够让你使用自然语言根据图像本身、自定义的文本描述或自动生成的描述来搜索视频。",
       "readTheDocumentation": "阅读文档（英文）",
-      "reindexOnStartup": {
-        "label": "启动时重新索引",
-        "desc": "每次启动将重新索引并重新处理所有缩略图和描述。<em>关闭该设置后不要忘记重启！</em>"
+      "reindexNow": {
+        "label": "立即重建索引",
+        "desc": "重建索引将为所有跟踪对象重新生成特征向量。该过程将在后台运行，可能会使CPU满载，所需时间取决于跟踪对象的数量。",
+        "confirmTitle": "确认重建索引",
+        "confirmDesc": "确定要为所有跟踪对象重建特征向量索引吗？此过程将在后台运行，但可能会导致CPU满载并耗费较长时间。您可以在探索页面查看进度。", 
+        "confirmButton": "重建索引",
+        "success": "重建索引已成功启动。",
+        "alreadyInProgress": "重建索引已在执行中。",
+        "error": "启动重建索引失败：{{errorMessage}}"
       },
       "modelSize": {
         "label": "模型大小",
@@ -113,11 +119,11 @@
         "desc": "用于人脸识别的模型尺寸。",
         "small": {
           "title": "小模型",
-          "desc": "使用<em>小模型</em>将采用OpenCV的局部二值模式直方图(LBPH)算法，可在大多数CPU上高效运行。"
+          "desc": "使用<em>小模型</em>将采用FaceNet人脸特征提取模型，可在大多数CPU上高效运行。"
         },
         "large": {
           "title": "大模型",
-          "desc": "使用<em>大模型</em>将采用ArcFace人脸嵌入模型，若适用将自动在GPU上运行。"
+          "desc": "使用<em>大模型</em>将采用ArcFace人脸特征提取模型，若条件允许将自动使用GPU运行。"
         }
       }
     },
diff --git a/web/public/locales/zh-CN/views/system.json b/web/public/locales/zh-CN/views/system.json
index 01251f3c5..8e442162a 100644
--- a/web/public/locales/zh-CN/views/system.json
+++ b/web/public/locales/zh-CN/views/system.json
@@ -3,7 +3,7 @@
     "cameras": "摄像头统计 - Frigate",
     "storage": "存储统计 - Frigate",
     "general": "常规统计 - Frigate",
-    "features": "功能统计 - Frigate",
+    "enrichments": "增强功能统计 - Frigate",
     "logs": {
       "frigate": "Frigate 日志 - Frigate",
       "go2rtc": "Go2RTC 日志 - Frigate",
@@ -144,8 +144,9 @@
     "healthy": "系统运行正常",
     "reindexingEmbeddings": "正在重新索引嵌入（已完成 {{processed}}%）"
   },
-  "features": {
-    "title": "功能",
+  "enrichments": {
+    "title": "增强功能",
+    "infPerSecond": "每秒推理次数",
     "embeddings": {
       "image_embedding_speed": "图像特征提取速度",
       "face_embedding_speed": "人脸特征提取速度",