classification i18n fix (#21331)

* fix: fix classification pages none label i18n

* fix: fix README_CN formatting issue

README_CN.md

@@ -4,14 +4,14 @@
 
 # Frigate NVR™ - 一个具有实时目标检测的本地 NVR
 
-[English](https://github.com/blakeblackshear/frigate) | \[简体中文\]
-
-[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
-
 <a href="https://hosted.weblate.org/engage/frigate-nvr/-/zh_Hans/">
 <img src="https://hosted.weblate.org/widget/frigate-nvr/-/zh_Hans/svg-badge.svg" alt="翻译状态" />
 </a>
 
+[English](https://github.com/blakeblackshear/frigate) | \[简体中文\]
+
+[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
+
 一个完整的本地网络视频录像机（NVR），专为[Home Assistant](https://www.home-assistant.io)设计，具备 AI 目标/物体检测功能。使用 OpenCV 和 TensorFlow 在本地为 IP 摄像头执行实时物体检测。
 
 强烈推荐使用 GPU 或者 AI 加速器（例如[Google Coral 加速器](https://coral.ai/products/) 或者 [Hailo](https://hailo.ai/)等）。它们的运行效率远远高于现在的顶级 CPU，并且功耗也极低。
@@ -38,6 +38,7 @@
 ## 协议
 
 本项目采用 **MIT 许可证**授权。
+
 **代码部分**：本代码库中的源代码、配置文件和文档均遵循 [MIT 许可证](LICENSE)。您可以自由使用、修改和分发这些代码，但必须保留原始版权声明。
 
 **商标部分**：“Frigate”名称、“Frigate NVR”品牌以及 Frigate 的 Logo 为 **Frigate LLC 的商标**，**不在** MIT 许可证覆盖范围内。

web/public/locales/en/views/classificationModel.json

@@ -1,7 +1,9 @@
 {
   "documentTitle": "Classification Models - Frigate",
   "details": {
-    "scoreInfo": "Score represents the average classification confidence across all detections of this object."
+    "scoreInfo": "Score represents the average classification confidence across all detections of this object.",
+    "none": "None",
+    "unknown": "Unknown"
   },
   "button": {
     "deleteClassificationAttempts": "Delete Classification Images",
@@ -83,7 +85,6 @@
     "aria": "Select Recent Classifications"
   },
   "categories": "Classes",
-  "none": "None",
   "createCategory": {
     "new": "Create New Class"
   },

web/src/components/card/ClassificationCard.tsx

@@ -161,7 +161,11 @@ export const ClassificationCard = forwardRef<
           )}
         >
           <div className="smart-capitalize">
-            {data.name == "unknown" ? t("details.unknown") : data.name}
+            {data.name == "unknown"
+              ? t("details.unknown")
+              : data.name == "none"
+                ? t("details.none")
+                : data.name}
           </div>
           {data.score != undefined && (
             <div

web/src/components/overlay/ClassificationSelectionDialog.tsx

@@ -132,7 +132,7 @@ export default function ClassificationSelectionDialog({
                   onClick={() => onCategorizeImage(category)}
                 >
                   {category === "none"
-                    ? t("none")
+                    ? t("details.none")
                     : category.replaceAll("_", " ")}
                 </SelectorItem>
               ))}

web/src/components/overlay/dialog/TrainFilterDialog.tsx

@@ -170,7 +170,9 @@ export function ClassFilterContent({
                 <FilterSwitch
                   key={item}
                   label={
-                    item === "none" ? t("none") : item.replaceAll("_", " ")
+                    item === "none"
+                      ? t("details.none", { ns: "views/classificationModel" })
+                      : item.replaceAll("_", " ")
                   }
                   isChecked={classes?.includes(item) ?? false}
                   onCheckedChange={(isChecked) => {

web/src/views/classification/ModelTrainingView.tsx

@@ -707,7 +707,7 @@ function LibrarySelector({
                 className="flex-grow cursor-pointer capitalize"
                 onClick={() => setPageToggle(id)}
               >
-                {id === "none" ? t("none") : id.replaceAll("_", " ")}
+                {id === "none" ? t("details.none") : id.replaceAll("_", " ")}
                 <span className="ml-2 text-muted-foreground">
                   ({dataset?.[id].length})
                 </span>