# -*- coding: utf8 -*- # Copyright (c) 2017-2021 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. import json from tencentcloud.common.exception.tencent_cloud_sdk_exception import TencentCloudSDKException from tencentcloud.common.abstract_client import AbstractClient from tencentcloud.ims.v20200713 import models class ImsClient(AbstractClient): _apiVersion = '2020-07-13' _endpoint = 'ims.tencentcloudapi.com' _service = 'ims' def ImageModeration(self, request): """图片同步检测服务(Image Moderation, IM)能自动扫描图片,识别可能令人反感、不安全或不适宜的内容,同时支持用户配置图片黑名单,打击自定义识别类型的图片。 <div class="rno-api-explorer" style="margin-bottom:20px"> <div class="rno-api-explorer-inner"> <div class="rno-api-explorer-hd"> <div class="rno-api-explorer-title"> 关于版本迭代的描述 </div> </div> <div class="rno-api-explorer-body"> <div class="rno-api-explorer-cont"> <p>当前页面版本为图片内容安全2020版本,2020.11.3日前接入的图片内容安全接口为2019版本,在此时间前接入的用户可直接访问以下链接进行维护操作:<a href="https://cloud.tencent.com/document/product/1125/38206" target="_blank">图片内容安全-2019版本</a></p> <p>2020版本相对2019版本进行了升级,支持更灵活的多场景业务策略配置以及更丰富的识别回调信息,满足不同业务的识别需求,建议按照2020版本接入指引进行接口升级;同时,2019版本也会持续维护直至用户不再使用为止。</p> </div> </div> </div> </div> :param request: Request instance for ImageModeration. :type request: :class:`tencentcloud.ims.v20200713.models.ImageModerationRequest` :rtype: :class:`tencentcloud.ims.v20200713.models.ImageModerationResponse` """ try: params = request._serialize() headers = request.headers body = self.call("ImageModeration", params, headers=headers) response = json.loads(body) model = models.ImageModerationResponse() model._deserialize(response["Response"]) return model except Exception as e: if isinstance(e, TencentCloudSDKException): raise else: raise TencentCloudSDKException(type(e).__name__, str(e))
Memory