Intelligent Media Services：如何利用AI對媒資內容進行理解

前提條件

• 開通IMS服務：參考開通服務。

• 安裝IMS服務端SDK：參考SDK安裝文檔。

基礎使用

1. 建立智能內容理解演算法模板。

   調用介面CreateCustomTemplate - 建立使用者自訂模板，建立自訂AI智能分析模板。

   範例程式碼：

   # -*- 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
   
   # 工程代碼建議使用更安全的無AK方式，憑據配置方式請參見：https://www.alibabacloud.com/help/document_detail/378659.html。
   credential = CredentialClient()
   config = open_api_models.Config(
       credential=credential
   )
   # Endpoint 請參考 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. 提交智能內容理解任務。

   調用介面SubmitSmarttagJob - 提交智能標籤作業，提交智能內容理解任務。

   範例程式碼：

   # -*- 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
   
   # 工程代碼建議使用更安全的無AK方式，憑據配置方式請參見：https://www.alibabacloud.com/help/document_detail/378659.html。
   credential = CredentialClient()
   config = open_api_models.Config(
       credential=credential
   )
   # Endpoint 請參考 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='人臉測試-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. 查詢任務結果。

   調用介面QuerySmarttagJob - 智能標籤任務查詢介面， 查詢智能內容理解任務。

   範例程式碼：

   # -*- 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
   
   # 工程代碼建議使用更安全的無AK方式，憑據配置方式請參見：https://www.alibabacloud.com/help/document_detail/378659.html。
   credential = CredentialClient()
   config = open_api_models.Config(
       credential=credential
   )
   # Endpoint 請參考 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)

進階使用

1. 建立自訂庫。

   調用介面CreateRecognitionLib - 建立自訂識別庫，建立自訂識別庫。

   範例程式碼：

   # -*- 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
   
   # 工程代碼建議使用更安全的無AK方式，憑據配置方式請參見：https://www.alibabacloud.com/help/document_detail/378659.html。
   credential = CredentialClient()
   config = open_api_models.Config(
       credential=credential
   )
   # Endpoint 請參考 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. 建立自訂實體。

   調用介面CreateRecognitionEntity - 建立自訂識別庫中的待識別實體，在指定的自訂識別庫中建立一個新的實體。

   範例程式碼：

   # -*- 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
   
   # 工程代碼建議使用更安全的無AK方式，憑據配置方式請參見：https://www.alibabacloud.com/help/document_detail/378659.html。
   credential = CredentialClient()
   config = open_api_models.Config(
       credential=credential
   )
   # Endpoint 請參考 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='小帥'
   )
   runtime = util_models.RuntimeOptions()
   response = client.create_recognition_entity_with_options(create_recognition_entity_request, runtime)
   print(response)

3. 建立自訂對象

   調用介面CreateRecognitionSample - 註冊自訂實體的識別樣本，為指定的自訂實體添加識別樣本圖片或文字標籤。

   範例程式碼：

   # -*- 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
   
   # 工程代碼建議使用更安全的無AK方式，憑據配置方式請參見：https://www.alibabacloud.com/help/document_detail/378659.html。
   credential = CredentialClient()
   config = open_api_models.Config(
       credential=credential
   )
   # Endpoint 請參考 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. 建立內容理解演算法模板。

   與基礎使用相同，需要根據需求輸入分析類型的運算元以及相應的自訂庫ID（如人臉、地標、物體、logo、自訂標籤等）。

5. 提交智能內容理解任務。

   與基礎使用相同。

6. 查詢任務結果。

   與基礎使用相同。