如何利用AI对媒资内容进行理解

前提条件

• 开通IMS服务：参考开通服务。

• 安装IMS服务端SDK：参考SDK安装文档。

基础使用

1. 创建智能内容理解算法模板。

   调用接口CreateCustomTemplate - 创建用户自定义模板，创建自定义AI智能分析模板。

   示例代码：

   # -*- coding: utf-8 -*-
   from alibabacloud_ice20201109.client import Client as ICE20201109Client
   from alibabacloud_credentials.client import Client as CredentialClient
   from alibabacloud_tea_openapi import models as open_api_models
   from alibabacloud_ice20201109 import models as ice20201109_models
   from alibabacloud_tea_util import models as util_models
   
   # 工程代码建议使用更安全的无AK方式，凭据配置方式请参见：https://help.aliyun.com/document_detail/378659.html。
   credential = CredentialClient()
   config = open_api_models.Config(
       credential=credential
   )
   # Endpoint 请参考 https://api.aliyun.com/product/ICE
   config.endpoint = 'ice.cn-xxx.aliyuncs.com'
   client = ICE20201109Client(config)
   
   create_custom_template_request = ice20201109_models.CreateCustomTemplateRequest(
       name='face_template_001',
       template_config='{"AnalyseTypes":"face","FaceCategoryIds":"celebrity,politician,sensitive"}',
       type=11
   )
   runtime = util_models.RuntimeOptions()
   response = client.create_custom_template_with_options(create_custom_template_request, runtime)
   print(response)

2. 提交智能内容理解任务。

   调用接口SubmitSmarttagJob - 提交智能标签作业，提交智能内容理解任务。

   示例代码：

   # -*- coding: utf-8 -*-
   from alibabacloud_ice20201109.client import Client as ICE20201109Client
   from alibabacloud_credentials.client import Client as CredentialClient
   from alibabacloud_tea_openapi import models as open_api_models
   from alibabacloud_ice20201109 import models as ice20201109_models
   from alibabacloud_tea_util import models as util_models
   
   # 工程代码建议使用更安全的无AK方式，凭据配置方式请参见：https://help.aliyun.com/document_detail/378659.html。
   credential = CredentialClient()
   config = open_api_models.Config(
       credential=credential
   )
   # Endpoint 请参考 https://api.aliyun.com/product/ICE
   config.endpoint = 'ice.cn-xxx.aliyuncs.com'
   client = ICE20201109Client(config)
   
   submit_smarttag_job_request_input = ice20201109_models.SubmitSmarttagJobRequestInput(
       type='URL',
       media='https://xxx.jpeg'
   )
   submit_smarttag_job_request = ice20201109_models.SubmitSmarttagJobRequest(
       title='人脸测试-001',
       input=submit_smarttag_job_request_input,
       template_id='xxx'
   )
   runtime = util_models.RuntimeOptions()
   response = client.submit_smarttag_job_with_options(submit_smarttag_job_request, runtime)
   print(response)

3. 查询任务结果。

   调用接口QuerySmarttagJob - 智能标签任务查询接口， 查询智能内容理解任务。

   示例代码：

   # -*- coding: utf-8 -*-
   from alibabacloud_ice20201109.client import Client as ICE20201109Client
   from alibabacloud_credentials.client import Client as CredentialClient
   from alibabacloud_tea_openapi import models as open_api_models
   from alibabacloud_ice20201109 import models as ice20201109_models
   from alibabacloud_tea_util import models as util_models
   
   # 工程代码建议使用更安全的无AK方式，凭据配置方式请参见：https://help.aliyun.com/document_detail/378659.html。
   credential = CredentialClient()
   config = open_api_models.Config(
       credential=credential
   )
   # Endpoint 请参考 https://api.aliyun.com/product/ICE
   config.endpoint = 'ice.cn-xxx.aliyuncs.com'
   client = ICE20201109Client(config)
   
   query_smarttag_job_request = ice20201109_models.QuerySmarttagJobRequest(
       job_id='xxx'
   )
   runtime = util_models.RuntimeOptions()
   response = client.query_smarttag_job_with_options(query_smarttag_job_request, runtime)
   print(response)

进阶使用

1. 创建自定义库。

   调用接口CreateRecognitionLib - 创建自定义识别库，创建自定义识别库。

   示例代码：

   # -*- coding: utf-8 -*-
   from alibabacloud_ice20201109.client import Client as ICE20201109Client
   from alibabacloud_credentials.client import Client as CredentialClient
   from alibabacloud_tea_openapi import models as open_api_models
   from alibabacloud_ice20201109 import models as ice20201109_models
   from alibabacloud_tea_util import models as util_models
   
   # 工程代码建议使用更安全的无AK方式，凭据配置方式请参见：https://help.aliyun.com/document_detail/378659.html。
   credential = CredentialClient()
   config = open_api_models.Config(
       credential=credential
   )
   # Endpoint 请参考 https://api.aliyun.com/product/ICE
   config.endpoint = 'ice.cn-xxx.aliyuncs.com'
   client = ICE20201109Client(config)
   
   create_recognition_lib_request = ice20201109_models.CreateRecognitionLibRequest(
       algorithm='face',
       lib_name='face_lib_001'
   )
   runtime = util_models.RuntimeOptions()
   response = client.create_recognition_lib_with_options(create_recognition_lib_request, runtime)
   print(response)

2. 创建自定义实体。

   调用接口CreateRecognitionEntity - 创建自定义识别库中的待识别实体，在指定的自定义识别库中创建一个新的实体。

   示例代码：

   # -*- coding: utf-8 -*-
   from alibabacloud_ice20201109.client import Client as ICE20201109Client
   from alibabacloud_credentials.client import Client as CredentialClient
   from alibabacloud_tea_openapi import models as open_api_models
   from alibabacloud_ice20201109 import models as ice20201109_models
   from alibabacloud_tea_util import models as util_models
   
   # 工程代码建议使用更安全的无AK方式，凭据配置方式请参见：https://help.aliyun.com/document_detail/378659.html。
   credential = CredentialClient()
   config = open_api_models.Config(
       credential=credential
   )
   # Endpoint 请参考 https://api.aliyun.com/product/ICE
   config.endpoint = 'ice.cn-xxx.aliyuncs.com'
   client = ICE20201109Client(config)
   
   create_recognition_entity_request = ice20201109_models.CreateRecognitionEntityRequest(
       algorithm='face',
       lib_id='xxx',
       entity_name='小帅'
   )
   runtime = util_models.RuntimeOptions()
   response = client.create_recognition_entity_with_options(create_recognition_entity_request, runtime)
   print(response)

3. 创建自定义对象

   调用接口CreateRecognitionSample - 注册自定义实体的识别样本，为指定的自定义实体添加识别样本图片或文本标签。

   示例代码：

   # -*- coding: utf-8 -*-
   
   from alibabacloud_ice20201109.client import Client as ICE20201109Client
   from alibabacloud_credentials.client import Client as CredentialClient
   from alibabacloud_tea_openapi import models as open_api_models
   from alibabacloud_ice20201109 import models as ice20201109_models
   from alibabacloud_tea_util import models as util_models
   
   # 工程代码建议使用更安全的无AK方式，凭据配置方式请参见：https://help.aliyun.com/document_detail/378659.html。
   credential = CredentialClient()
   config = open_api_models.Config(
       credential=credential
   )
   # Endpoint 请参考 https://api.aliyun.com/product/ICE
   config.endpoint = 'ice.cn-xxx.aliyuncs.com'
   client = ICE20201109Client(config)
   
   create_recognition_sample_request = ice20201109_models.CreateRecognitionSampleRequest(
       algorithm='face',
       lib_id='xxx',
       entity_id='xxx',
       image_url='https://xxx.jpg'
   )
   runtime = util_models.RuntimeOptions()
   response = client.create_recognition_sample_with_options(create_recognition_sample_request, runtime)
   print(response)

4. 创建内容理解算法模板。

   与基础使用相同，需要根据需求输入分析类型的算子以及相应的自定义库ID（如人脸、地标、物体、logo、自定义标签等）。

5. 提交智能内容理解任务。

   与基础使用相同。

6. 查询任务结果。

   与基础使用相同。