client.rb in tencentcloud-sdk-tiia-3.0.456

- old
+ new

@@ -209,10 +209,45 @@
           raise e
         rescue StandardError => e
           raise TencentCloud::Common::TencentCloudSDKException.new(nil, e.inspect)
         end
 
+        # 可对图片中厨师穿戴进行识别，支持厨师服识别，厨师帽识别，赤膊识别和口罩识别,可应用于明厨亮灶场景。
+        # "被优选过滤"标签值在人体优选开关开启时才会返回。
+        # 厨师服：厨师服定义为白色上衣
+        # 厨师服识别(酒店版)：厨师服定义为红色，白色，黑色上衣
+
+        # |序号 | 标签名称 | 标签值 |
+        # | :-----|  :----------   |:-----------------  |
+        # | 1 | 厨师服识别<div style="width: 70pt"> |无厨师服、有厨师服、被优选过滤|
+        # | 2 | 厨师服识别（酒店版）<div style="width: 70pt"> |无厨师服、有厨师服、被优选过滤|
+        # | 3 | 厨师帽识别<div style="width: 70pt"> |无厨师帽、有厨师帽、被优选过滤	|
+        # | 4 | 赤膊识别<div style="width: 70pt"> |非赤膊、赤膊、被优选过滤|
+        # | 5 | 口罩识别<div style="width: 70pt"> |无口罩、有口罩、口罩不确定、被优选过滤	|
+
+        # @param request: Request instance for DetectChefDress.
+        # @type request: :class:`Tencentcloud::tiia::V20190529::DetectChefDressRequest`
+        # @rtype: :class:`Tencentcloud::tiia::V20190529::DetectChefDressResponse`
+        def DetectChefDress(request)
+          body = send_request('DetectChefDress', request.serialize)
+          response = JSON.parse(body)
+          if response['Response'].key?('Error') == false
+            model = DetectChefDressResponse.new
+            model.deserialize(response['Response'])
+            model
+          else
+            code = response['Response']['Error']['Code']
+            message = response['Response']['Error']['Message']
+            reqid = response['Response']['RequestId']
+            raise TencentCloud::Common::TencentCloudSDKException.new(code, message, reqid)
+          end
+        rescue TencentCloud::Common::TencentCloudSDKException => e
+          raise e
+        rescue StandardError => e
+          raise TencentCloud::Common::TencentCloudSDKException.new(nil, e.inspect)
+        end
+
         # 输入一张图片，返回AI针对一张图片是否是恶心的一系列判断值。
 
         # 通过恶心图片识别, 可以判断一张图片是否令人恶心, 同时给出它属于的潜在类别, 让您能够过滤掉使人不愉快的图片。
         # >
         # - 公共参数中的签名方式必须指定为V3版本，即配置SignatureMethod参数为TC3-HMAC-SHA256。
@@ -457,9 +492,46 @@
         def DetectProductBeta(request)
           body = send_request('DetectProductBeta', request.serialize)
           response = JSON.parse(body)
           if response['Response'].key?('Error') == false
             model = DetectProductBetaResponse.new
+            model.deserialize(response['Response'])
+            model
+          else
+            code = response['Response']['Error']['Code']
+            message = response['Response']['Error']['Message']
+            reqid = response['Response']['RequestId']
+            raise TencentCloud::Common::TencentCloudSDKException.new(code, message, reqid)
+          end
+        rescue TencentCloud::Common::TencentCloudSDKException => e
+          raise e
+        rescue StandardError => e
+          raise TencentCloud::Common::TencentCloudSDKException.new(nil, e.inspect)
+        end
+
+        # 识别常安全属性识别可对图片中人体安全防护属性进行识别，支持识别安全帽，反光衣，护目镜，工服，手套，工地安全带，口罩，抽烟，玩手机等多种属性。
+        # "被优选过滤"标签值在人体优选开关开启时才会返回。
+
+        # |序号 | 标签名称 | 标签值 |
+        # | :-----|  :----------   |:-----------------  |
+        # | 1 | 安全帽识别<div style="width: 70pt"> |无安全帽、有安全帽、被优选过滤|
+        # | 2 | 玩手机识别<div style="width: 70pt"> |没有电话、打电话、玩手机、被优选过滤|
+        # | 3 | 抽烟识别<div style="width: 70pt"> |没有抽烟、抽烟、被优选过滤	|
+        # | 4 | 口罩识别<div style="width: 70pt"> |无口罩、有口罩、口罩不确定、被优选过滤|
+        # | 5 | 工地安全带识别<div style="width: 70pt"> |无工地安全带、工地安全带、被优选过滤	|
+        # | 6 | 手套识别<div style="width: 70pt"> |无手套、有手套、手套不确定、被优选过滤	|
+        # | 7 | 工服识别<div style="width: 70pt"> |无工服、有工服、被优选过滤|
+        # | 8 | 护目镜识别<div style="width: 70pt"> |无护目镜、有护目镜、被优选过滤|
+        # | 9 | 反光衣识别<div style="width: 70pt"> |无反光衣、有反光衣、被优选过滤|
+
+        # @param request: Request instance for DetectSecurity.
+        # @type request: :class:`Tencentcloud::tiia::V20190529::DetectSecurityRequest`
+        # @rtype: :class:`Tencentcloud::tiia::V20190529::DetectSecurityResponse`
+        def DetectSecurity(request)
+          body = send_request('DetectSecurity', request.serialize)
+          response = JSON.parse(body)
+          if response['Response'].key?('Error') == false
+            model = DetectSecurityResponse.new
             model.deserialize(response['Response'])
             model
           else
             code = response['Response']['Error']['Code']
             message = response['Response']['Error']['Message']
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