{
"documentTitle": {
"default": "設定 - Frigate",
"authentication": "認證設定 - Frigate",
"camera": "鏡頭設定 - Frigate",
"classification": "進階功能設定 - Frigate",
"masksAndZones": "遮罩與區域編輯器 - Frigate",
"motionTuner": "移動調校器 - Frigate",
"object": "除錯 - Frigate",
"general": "一般設定 - Frigate",
"frigatePlus": "Frigate+ 設定 - Frigate",
"notifications": "通知設定 - Frigate",
"enrichments": "進階功能設定 - Frigate"
},
"menu": {
"ui": "介面",
"classification": "進階功能",
"cameras": "鏡頭設定",
"masksAndZones": "遮罩/區域",
"motionTuner": "移動調校器",
"debug": "除錯",
"users": "用戶",
"notifications": "通知",
"frigateplus": "Frigate+",
"enrichments": "進階功能"
},
"dialog": {
"unsavedChanges": {
"title": "你有未儲存的更改。",
"desc": "你想在繼續前儲存更改嗎?"
}
},
"cameraSetting": {
"camera": "鏡頭",
"noCamera": "沒有鏡頭"
},
"general": {
"title": "一般設定",
"liveDashboard": {
"playAlertVideos": {
"label": "播放警報影片",
"desc": "預設情況下,即時儀表板上的最近警報會以小型循環影片形式播放。停用此選項後,只會在此裝置/瀏覽器上顯示警報的靜態圖片。"
},
"automaticLiveView": {
"label": "自動即時檢視",
"desc": "當偵測到活動時,自動切換到該鏡頭的即時畫面。若停用此選項,即時儀表板上的鏡頭靜態畫面將每分鐘只更新一次。"
},
"title": "即時儀表板"
},
"storedLayouts": {
"title": "儲存的版面配置",
"clearAll": "清除所有版面配置",
"desc": "鏡頭群組內的鏡頭佈局可以拖動或調整大小。位置會儲存在你瀏覽器的本機儲存空間內。"
},
"cameraGroupStreaming": {
"title": "鏡頭群組串流設定",
"clearAll": "清除所有串流設定",
"desc": "每個鏡頭群組的串流設定會儲存在你瀏覽器的本機儲存空間內。"
},
"recordingsViewer": {
"defaultPlaybackRate": {
"desc": "錄影播放的預設播放速度。",
"label": "預設播放速度"
},
"title": "錄影瀏覽器"
},
"calendar": {
"title": "日曆",
"firstWeekday": {
"label": "每星期的第一天",
"sunday": "星期日",
"monday": "星期一",
"desc": "審查日曆中每星期開始的日子。"
}
},
"toast": {
"success": {
"clearStoredLayout": "已清除 {{cameraName}} 的儲存版面配置",
"clearStreamingSettings": "已清除所有鏡頭群組的串流設定。"
},
"error": {
"clearStoredLayoutFailed": "清除儲存版面配置失敗:{{errorMessage}}",
"clearStreamingSettingsFailed": "清除串流設定失敗:{{errorMessage}}"
}
}
},
"classification": {
"birdClassification": {
"desc": "鳥類分類會使用量化 Tensorflow 模型識別已知鳥類。當辨識到已知鳥類時,牠的常見名稱會加到子標籤上。此資訊會顯示在介面、篩選器及通知中。",
"title": "鳥類分類"
},
"semanticSearch": {
"title": "語意搜尋",
"desc": "Frigate 的語意搜尋功能讓你可以利用影像本身、自訂文字描述,或自動產生的描述,在審查項目中尋找已追蹤的物件。",
"readTheDocumentation": "閱讀文件",
"reindexNow": {
"label": "立即重建索引",
"confirmTitle": "確認重建索引",
"confirmButton": "重建索引",
"success": "重建索引已成功開始。",
"alreadyInProgress": "重建索引已在進行中。",
"error": "啟動重建索引失敗:{{errorMessage}}",
"confirmDesc": "你確定要重建索引所有已追蹤物件的嵌入向量嗎?這個過程會在背景運行,但可能會用盡你的 CPU,而且需要一定時間。你可以在「瀏覽」頁面查看進度。",
"desc": "重建索引會為所有已追蹤物件重新生成嵌入向量。這個過程會在背景運行,可能會用盡你的 CPU,所需時間取決於已追蹤物件的數量。"
},
"modelSize": {
"label": "模型大小",
"desc": "用於語意搜尋的模型大小。",
"small": {
"title": "小型",
"desc": "使用小型模型會採用量化版本,較少佔用 RAM,在 CPU 上運行更快,而嵌入品質的差異非常細微。"
},
"large": {
"title": "大型",
"desc": "使用大型模型會採用完整的 Jina 模型,並在適用情況下自動於 GPU 上運行。"
}
}
},
"faceRecognition": {
"modelSize": {
"small": {
"title": "小型",
"desc": "使用小型模型會採用 FaceNet 臉部嵌入模型,在大多數 CPU 上能有效運行。"
},
"large": {
"title": "大型",
"desc": "使用大型模型會採用 ArcFace 臉部嵌入模型,並在適用情況下自動於 GPU 上運行。"
},
"label": "模型大小",
"desc": "用於人臉識別的模型大小。"
},
"readTheDocumentation": "閱讀文件",
"title": "人臉識別",
"desc": "人臉識別功能允許為人物分配名字,當辨識到他們的臉孔時,Frigate 會將名字加到子標籤上。此資訊會顯示於介面、篩選器及通知中。"
},
"licensePlateRecognition": {
"title": "車牌識別",
"readTheDocumentation": "閱讀文件",
"desc": "Frigate 可以識別車輛上的車牌,自動將偵測到的字元加到已辨識車牌欄位,或將已知名稱加到屬於車輛類型的物件的子標籤上。常見用途包括讀取駛入車道或在街道上駛過的車輛的車牌。"
},
"restart_required": "需要重新啟動(分類設定已變更)",
"toast": {
"error": "儲存設定變更失敗:{{errorMessage}}",
"success": "分類設定已儲存。請重新啟動 Frigate 以套用你的更改。"
},
"title": "進階功能設定",
"unsavedChanges": "進階功能設定更改尚未儲存"
},
"camera": {
"title": "鏡頭設定",
"streams": {
"title": "串流",
"desc": "暫時停用鏡頭直到Frigate重新啟動。停用鏡頭會完全停止 Frigate 處理此鏡頭的串流。將會無法使用偵測、錄影和除錯功能。
注意:這不會停用 go2rtc 的轉播功能。"
},
"review": {
"title": "審查",
"desc": "暫時啟用或停用此鏡頭的警報和偵測直到Frigate重新啟動。停用後,將不會產生新的審查項目。 ",
"alerts": "警報 ",
"detections": "偵測 "
},
"reviewClassification": {
"readTheDocumentation": "閱讀文件",
"noDefinedZones": "此鏡頭未定義任何區域。",
"zoneObjectAlertsTips": "在{{cameraName}}的{{zone}}區域偵測到的所有{{alertsLabels}}物件將會顯示為警報。",
"objectDetectionsTips": "無論位於哪個區域,在{{cameraName}}上所有未分類的{{detectionsLabels}}物件將會顯示為偵測結果。",
"objectAlertsTips": "在{{cameraName}}上所有{{alertsLabels}}物件將會顯示為警報。",
"zoneObjectDetectionsTips": {
"text": "在{{cameraName}}的{{zone}}區域內所有未分類的{{detectionsLabels}}物件將會顯示為偵測結果。",
"regardlessOfZoneObjectDetectionsTips": "無論位於哪個區域,在{{cameraName}}上所有未分類的{{detectionsLabels}}物件將會顯示為偵測結果。",
"notSelectDetections": "無論位於哪個區域,在{{cameraName}}的{{zone}}區域偵測到、但未分類為警報的{{detectionsLabels}}物件將會顯示為偵測結果。"
},
"selectDetectionsZones": "選擇偵測的區域",
"limitDetections": "限制偵測至特定區域",
"title": "審查分類",
"desc": "Frigate會將審查項目分類為「警報」同「偵測」。預設情況下,所有人同車 的物件都會被視為警報。你可以透過設定所需區域,細分審查項目分類。",
"selectAlertsZones": "選擇警報的區域",
"toast": {
"success": "審查分類設定已儲存。請重新啟動Frigate以套用更改。"
},
"unsavedChanges": "{{camera}}的審查分類設定尚未儲存"
}
},
"masksAndZones": {
"toast": {
"error": {
"copyCoordinatesFailed": "無法將座標複製到剪貼簿。"
},
"success": {
"copyCoordinates": "已將{{polyName}}的座標複製到剪貼簿。"
}
},
"form": {
"zoneName": {
"error": {
"mustBeAtLeastTwoCharacters": "區域名稱必須至少有2個字元。",
"mustNotBeSameWithCamera": "區域名稱不得與鏡頭名稱相同。",
"alreadyExists": "此鏡頭已存在相同名稱的區域。",
"mustNotContainPeriod": "區域名稱不可包含句號。",
"hasIllegalCharacter": "區域名稱包含非法字元。"
}
},
"distance": {
"error": {
"mustBeFilled": "必須填寫所有距離欄位,才能使用速度估算功能。",
"text": "距離必須大於或等於0.1。"
}
},
"inertia": {
"error": {
"mustBeAboveZero": "慣性值必須大於0。"
}
},
"loiteringTime": {
"error": {
"mustBeGreaterOrEqualZero": "逗留時間必須大於或等於0。"
}
},
"polygonDrawing": {
"removeLastPoint": "移除最後一個點",
"delete": {
"title": "確認刪除",
"desc": "確定要刪除{{type}} {{name}}嗎?",
"success": "已刪除{{name}}。"
},
"error": {
"mustBeFinished": "必須完成多邊形繪製後才能儲存。"
},
"snapPoints": {
"false": "不對齊點",
"true": "對齊點"
},
"reset": {
"label": "清除所有點"
}
},
"speed": {
"error": {
"mustBeGreaterOrEqualTo": "速度閾值必須大於或等於 0.1。"
}
}
},
"zones": {
"label": "區域",
"add": "新增區域",
"edit": "編輯區域",
"point_other": "{{count}}個點",
"clickDrawPolygon": "在圖片上點擊以繪製多邊形。",
"name": {
"title": "名稱",
"inputPlaceHolder": "請輸入名稱…",
"tips": "名稱必須至少有2個字元,且不可與鏡頭或其他區域同名。"
},
"inertia": {
"title": "慣性",
"desc": "指定物件需在區域內停留多少個畫格,才會被視為進入該區域。預設:3"
},
"loiteringTime": {
"desc": "設定物件必須於區域內停留的最少秒數,以觸發動作。預設:0",
"title": "逗留時間"
},
"objects": {
"title": "物件",
"desc": "此區域適用的物件列表。"
},
"allObjects": "所有物件",
"speedEstimation": {
"title": "速度估算",
"desc": "啟用此區域內物件的速度估算。區域必須正好有4個點。",
"docs": "閱讀文件",
"lineCDistance": "C 線距離 ({{unit}})",
"lineBDistance": "B 線距離 ({{unit}})",
"lineADistance": "A 線距離 ({{unit}})",
"lineDDistance": "D 線距離 ({{unit}})"
},
"speedThreshold": {
"title": "速度門檻 ({{unit}})",
"desc": "指定物件於此區域被視為有效時所需的最小速度。",
"toast": {
"error": {
"loiteringTimeError": "設有逗留時間大於0的區域,不應同時使用速度估算功能。",
"pointLengthError": "此區域已停用速度估算功能。啟用速度估算的區域必須正好有4個點。"
}
}
},
"toast": {
"success": "區域({{zoneName}})已儲存。請重新啟動Frigate以套用更改。"
},
"desc": {
"title": "區域可讓你定義畫面中的特定範圍,以判斷物件是否進入該範圍。",
"documentation": "文件"
},
"documentTitle": "編輯區域 - Frigate"
},
"motionMasks": {
"label": "移動遮罩",
"documentTitle": "編輯移動遮罩 - Frigate",
"desc": {
"title": "移動遮罩可防止不需要的移動觸發偵測。遮罩過多會令物件追蹤變得困難。",
"documentation": "文件"
},
"edit": "編輯移動遮罩",
"point_other": "{{count}}個點",
"clickDrawPolygon": "在圖片上點擊以繪製多邊形。",
"polygonAreaTooLarge": {
"title": "移動遮罩覆蓋了鏡頭畫面{{polygonArea}}%。建議不要使用過大的遮罩。",
"tips": "移動遮罩無法阻止物件被偵測,應使用必要區域來限制範圍。",
"documentation": "閱讀文件"
},
"context": {
"title": "移動遮罩用於防止某些不需要的移動(如樹枝晃動、鏡頭時間戳記)觸發偵測。移動遮罩應該非常謹慎使用,過度遮罩會令物件追蹤更加困難。",
"documentation": "閱讀文件"
},
"add": "新增移動遮罩",
"toast": {
"success": {
"title": "{{polygonName}}已儲存。請重新啟動Frigate以套用更改。",
"noName": "移動遮罩已儲存。請重新啟動Frigate以套用更改。"
}
}
},
"objectMasks": {
"label": "物件遮罩",
"desc": {
"documentation": "文件",
"title": "物件過濾遮罩根據位置,過濾指定物件類型的誤判偵測。"
},
"add": "新增物件遮罩",
"context": "物件過濾遮罩根據位置,過濾指定物件類型的誤判偵測。",
"point_other": "{{count}}個點",
"clickDrawPolygon": "在圖片上點擊以繪製多邊形。",
"objects": {
"title": "物件",
"desc": "此物件遮罩適用的物件類型。",
"allObjectTypes": "所有物件類型"
},
"toast": {
"success": {
"title": "{{polygonName}}已儲存。請重新啟動Frigate以套用更改。",
"noName": "物件遮罩已儲存。請重新啟動Frigate以套用更改。"
}
},
"documentTitle": "編輯物件遮罩 - Frigate",
"edit": "編輯物件遮罩"
},
"filter": {
"all": "所有遮罩與區域"
},
"restart_required": "需要重新啟動(遮罩/區域已變更)",
"motionMaskLabel": "移動遮罩 {{number}}",
"objectMaskLabel": "物件遮罩 {{number}}({{label}}"
},
"motionDetectionTuner": {
"title": "移動偵測調校器",
"desc": {
"title": "Frigate首先利用移動偵測作初步篩選,以判斷畫面中是否出現值得進行物件偵測的情況。",
"documentation": "閱讀移動調整指南"
},
"Threshold": {
"title": "門檻",
"desc": "門檻值決定像素亮度變化多少才會被視為移動。預設:30"
},
"contourArea": {
"title": "輪廓面積",
"desc": "輪廓面積值用來決定哪些變化像素群符合移動標準。預設:10"
},
"improveContrast": {
"title": "改善對比度",
"desc": "改善黑暗場景的對比度。預設:開啟"
},
"toast": {
"success": "移動設定已儲存。"
},
"unsavedChanges": "{{camera}}的移動調校設定尚未儲存"
},
"debug": {
"title": "除錯",
"objectList": "物件列表",
"noObjects": "沒有物件",
"boundingBoxes": {
"title": "邊框框線",
"colors": {
"info": "
移動方框
畫面中偵測到移動的地方將會顯示亮紅色方框
" }, "regions": { "desc": "顯示屬於物件偵測器感興趣範圍的方框", "title": "偵測區", "tips": "偵測區方框
畫面中屬於物件偵測器感興趣的地方將會顯示亮綠色方框,並且進行分析
" }, "desc": "除錯畫面會即時顯示追蹤到的物件及統計資料。物件列表則顯示偵測到物件的延遲總結。", "timestamp": { "title": "時間戳記", "desc": "在圖片上疊加時間戳記" }, "detectorDesc": "Frigate 使用你的偵測器({{detectors}})來偵測鏡頭影片串流中的物件。", "debugging": "除錯中", "mask": { "title": "移動遮罩", "desc": "顯示移動遮罩多邊形" }, "objectShapeFilterDrawing": { "title": "物件形狀篩選繪圖", "document": "閱讀文件 ", "score": "分數", "area": "面積", "ratio": "比例", "desc": "在圖片上畫矩形以查看面積與比例詳情", "tips": "啟用此選項後,會於鏡頭畫面上繪製矩形,以顯示其面積及比例。這些數值可用於設定物件形狀過濾參數。" } }, "users": { "management": { "desc": "管理此Frigate個體的用戶帳戶。", "title": "用戶管理" }, "addUser": "新增用戶", "updatePassword": "更新密碼", "toast": { "success": { "createUser": "成功建立用戶{{user}}", "deleteUser": "成功刪除用戶{{user}}", "roleUpdated": "成功更新{{user}}的角色", "updatePassword": "成功更新密碼。" }, "error": { "createUserFailed": "建立用戶失敗:{{errorMessage}}", "roleUpdateFailed": "更新角色失敗:{{errorMessage}}", "setPasswordFailed": "儲存密碼失敗:{{errorMessage}}", "deleteUserFailed": "刪除用戶失敗:{{errorMessage}}" } }, "table": { "username": "用戶名稱", "role": "角色", "noUsers": "找不到用戶。", "changeRole": "更改用戶角色", "password": "密碼", "deleteUser": "刪除用戶", "actions": "操作" }, "dialog": { "form": { "user": { "title": "用戶名稱", "desc": "只允許使用字母、數字、句號及底線。", "placeholder": "輸入用戶名稱" }, "password": { "title": "密碼", "placeholder": "輸入密碼", "confirm": { "placeholder": "確認密碼", "title": "確認密碼" }, "strength": { "title": "密碼強度: ", "weak": "弱", "medium": "中等", "strong": "強", "veryStrong": "非常強" }, "match": "密碼相符", "notMatch": "密碼不相符" }, "newPassword": { "confirm": { "placeholder": "重新輸入新密碼" }, "title": "新密碼", "placeholder": "輸入新密碼" }, "usernameIsRequired": "必須輸入用戶名稱", "passwordIsRequired": "必須填寫密碼" }, "createUser": { "title": "建立新用戶", "desc": "新增用戶帳戶,並指定可存取Frigate介面各區域的角色。", "usernameOnlyInclude": "用戶名稱只可包含字母、數字、句號或底線", "confirmPassword": "請確認你的密碼" }, "deleteUser": { "title": "刪除用戶", "desc": "此操作無法還原,將會永久刪除用戶帳戶及所有相關資料。", "warn": "確定要刪除{{username}}嗎?" }, "changeRole": { "title": "更改用戶角色", "desc": "更新{{username}}的權限", "roleInfo": { "intro": "為此用戶選擇合適的角色:", "adminDesc": "可使用所有功能。", "viewer": "觀看者", "viewerDesc": "只限使用即時儀表板、審查、瀏覽及匯出功能。", "admin": "管理員" }, "select": "選擇角色" }, "passwordSetting": { "setPassword": "設定密碼", "updatePassword": "更新{{username}}的密碼", "desc": "建立強密碼以保障此帳戶安全。", "cannotBeEmpty": "密碼不能留空", "doNotMatch": "密碼不相符" } }, "title": "用戶" }, "notification": { "title": "通知", "notificationSettings": { "title": "通知設定", "desc": "Frigate可原生向你的裝置推送通知,無論在瀏覽器中運行或安裝為PWA。", "documentation": "閱讀文件" }, "notificationUnavailable": { "title": "無法使用通知功能", "desc": "網頁推送通知需在安全環境下運作(https://…
),這是瀏覽器的限制。請透過安全連線存取Frigate以使用通知功能。",
"documentation": "閱讀文件"
},
"globalSettings": {
"title": "全域設定",
"desc": "暫停所有已註冊裝置上特定鏡頭的通知。"
},
"email": {
"placeholder": "例如:example@email.com",
"desc": "需要提供有效的電郵地址,若推送服務出現問題,將會透過此地址通知你。",
"title": "電郵地址"
},
"cameras": {
"title": "鏡頭",
"noCameras": "沒有可用鏡頭",
"desc": "選擇啟用通知功能的鏡頭。"
},
"deviceSpecific": "裝置專屬設定",
"registerDevice": "登記此裝置",
"unregisterDevice": "取消登記此裝置",
"sendTestNotification": "發送測試通知",
"active": "通知功能已啟用",
"suspended": "通知功能已暫停{{time}}",
"suspendTime": {
"10minutes": "暫停10分鐘",
"12hours": "暫停12小時",
"30minutes": "暫停30分鐘",
"24hours": "暫停24小時",
"5minutes": "暫停5分鐘",
"1hour": "暫停1小時",
"untilRestart": "暫停至重新啟動",
"suspend": "暫停"
},
"toast": {
"error": {
"registerFailed": "儲存通知登記失敗。"
},
"success": {
"registered": "成功登記通知功能。必須重新啟動Frigate後,才能發送任何通知(包括測試通知)。",
"settingSaved": "通知設定已儲存。"
}
},
"cancelSuspension": "取消暫停",
"unsavedRegistrations": "通知註冊尚未儲存",
"unsavedChanges": "通知設定更改尚未儲存"
},
"frigatePlus": {
"title": "Frigate+設定",
"apiKey": {
"title": "Frigate+ API金鑰",
"validated": "已偵測並驗證Frigate+ API金鑰",
"notValidated": "未偵測到Frigate+ API金鑰或驗證失敗",
"desc": "Frigate+ API金鑰可啟用與Frigate+服務的整合功能。",
"plusLink": "了解更多Frigate+資料"
},
"snapshotConfig": {
"title": "快照設定",
"documentation": "閱讀文件",
"table": {
"camera": "鏡頭",
"snapshots": "快照",
"cleanCopySnapshots": "clean_copy
快照"
},
"cleanCopyWarning": "部分鏡頭已啟用快照,但未啟用乾淨副本。你必須於快照設定中啟用clean_copy
,才能從這些鏡頭提交影像至Frigate+。",
"desc": "提交至Frigate+需要在設定中同時啟用快照及clean_copy
快照功能。"
},
"modelInfo": {
"title": "模型資料",
"modelType": "模型類型",
"trainDate": "訓練日期",
"baseModel": "基礎模型",
"plusModelType": {
"baseModel": "基礎模型",
"userModel": "微調"
},
"supportedDetectors": "支援的偵測器",
"cameras": "鏡頭",
"availableModels": "可用模型",
"loadingAvailableModels": "正在載入可用模型…",
"modelSelect": "可於此選擇你在Frigate+上的可用模型。請注意,只能選擇與當前偵測器設定相容的模型。",
"loading": "正在載入模型資料…",
"error": "載入模型資料失敗"
},
"toast": {
"error": "儲存設定變更失敗:{{errorMessage}}",
"success": "Frigate+設定已儲存。請重新啟動Frigate以套用更改。"
},
"restart_required": "需要重新啟動(已更改Frigate+模型)",
"unsavedChanges": "Frigate+ 設定更改尚未儲存"
},
"enrichments": {
"faceRecognition": {
"modelSize": {
"large": {
"title": "大型",
"desc": "使用大型模型會採用 ArcFace 臉部嵌入模型,並在適用情況下自動於 GPU 上運行。"
},
"desc": "用於人臉識別的模型大小。",
"label": "模型大小",
"small": {
"title": "小型",
"desc": "使用小型模型會採用 FaceNet 臉部嵌入模型,在大多數 CPU 上能有效運行。"
}
},
"desc": "人臉識別功能允許為人物分配名字,當辨識到他們的臉孔時,Frigate 會將名字加到子標籤上。此資訊會顯示於介面、篩選器及通知中。",
"title": "人臉識別",
"readTheDocumentation": "閱讀文件"
},
"birdClassification": {
"title": "鳥類分類",
"desc": "鳥類分類會使用量化 Tensorflow 模型識別已知鳥類。當辨識到已知鳥類時,牠的常見名稱會加到子標籤上。此資訊會顯示在介面、篩選器及通知中。"
},
"semanticSearch": {
"desc": "Frigate 的語意搜尋功能讓你可以利用影像本身、自訂文字描述,或自動產生的描述,在審查項目中尋找已追蹤的物件。",
"reindexNow": {
"confirmDesc": "你確定要重建索引所有已追蹤物件的嵌入向量嗎?這個過程會在背景運行,但可能會用盡你的 CPU,而且需要一定時間。你可以在「瀏覽」頁面查看進度。",
"label": "立即重建索引",
"desc": "重建索引會為所有已追蹤物件重新生成嵌入向量。這個過程會在背景運行,可能會用盡你的 CPU,所需時間取決於已追蹤物件的數量。",
"confirmTitle": "確認重建索引",
"confirmButton": "重建索引",
"success": "重建索引已成功開始。",
"alreadyInProgress": "重建索引已在進行中。",
"error": "啟動重建索引失敗:{{errorMessage}}"
},
"title": "語意搜尋",
"readTheDocumentation": "閱讀文件",
"modelSize": {
"label": "模型大小",
"desc": "用於語意搜尋的模型大小。",
"small": {
"title": "小型",
"desc": "使用小型模型會採用量化版本,較少佔用 RAM,在 CPU 上運行更快,而嵌入品質的差異非常細微。"
},
"large": {
"title": "大型",
"desc": "使用大型模型會採用完整的 Jina 模型,並在適用情況下自動於 GPU 上運行。"
}
}
},
"licensePlateRecognition": {
"title": "車牌識別",
"desc": "Frigate 可以識別車輛上的車牌,自動將偵測到的字元加到已辨識車牌欄位,或將已知名稱加到屬於車輛類型的物件的子標籤上。常見用途包括讀取駛入車道或在街道上駛過的車輛的車牌。",
"readTheDocumentation": "閱讀文件"
},
"title": "進階功能設定",
"unsavedChanges": "未儲存進階功能設定變更",
"restart_required": "需要重新啟動(進階功能設定已變更)",
"toast": {
"success": "進階功能設定已儲存。請重新啟動 Frigate 以套用你的更改。",
"error": "儲存設定變更失敗:{{errorMessage}}"
}
}
}