代码修改后的版本，全部提交

TencentCloud/Tiia/V20190529/Models/DetectCelebrityResponse.cs

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+/*
+ * Copyright (c) 2018 THL A29 Limited, a Tencent company. All Rights Reserved.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+namespace TencentCloud.Tiia.V20190529.Models
+{
+    using Newtonsoft.Json;
+    using System.Collections.Generic;
+    using TencentCloud.Common;
+
+    public class DetectCelebrityResponse : AbstractModel
+    {
+        
+        /// <summary>
+        /// 公众人物识别结果数组。如果检测不到人脸，返回为空；最多可以返回10个人脸识别结果。
+        /// </summary>
+        [JsonProperty("Faces")]
+        public Face[] Faces{ get; set; }
+
+        /// <summary>
+        /// 本服务在不同误识率水平下（将图片中的人物识别错误的比例）的推荐阈值，可以用于控制识别结果的精度。 
+        /// FalseRate1Percent, FalseRate5Permil, FalseRate1Permil分别代表误识率在百分之一、千分之五、千分之一情况下的推荐阈值。 
+        /// 因为阈值会存在变动，请勿将此处输出的固定值处理，而是每次取值与confidence对比，来判断本次的识别结果是否可信。
+        ///  例如，如果您业务中可以接受的误识率是1%，则可以将所有confidence>=FalseRate1Percent的结论认为是正确的。
+        /// 注意：此字段可能返回 null，表示取不到有效值。
+        /// </summary>
+        [JsonProperty("Threshold")]
+        public Threshold Threshold{ get; set; }
+
+        /// <summary>
+        /// 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。
+        /// </summary>
+        [JsonProperty("RequestId")]
+        public string RequestId{ get; set; }
+
+
+        /// <summary>
+        /// For internal usage only. DO NOT USE IT.
+        /// </summary>
+        internal override void ToMap(Dictionary<string, string> map, string prefix)
+        {
+            this.SetParamArrayObj(map, prefix + "Faces.", this.Faces);
+            this.SetParamObj(map, prefix + "Threshold.", this.Threshold);
+            this.SetParamSimple(map, prefix + "RequestId", this.RequestId);
+        }
+    }
+}
+