本文介绍了Python SDK V2.0的安装方式和使用智能标签SDK的示例代码。
版本说明
媒体处理的Python SDK版本需要在3.6版本及以上。阿里云Python SDK V2.0推荐的pip安装方式：
pip install alibabacloud_mts20140618==5.0.0前提条件
使用前请先初始化客户端，详细说明请参见初始化。
提交智能标签作业
调用SubmitSmarttagJob提交智能标签作业，接口字段和参数详细信息请参见提交智能标签作业，调用示例如下：
import os
import sys
from typing import List
from alibabacloud_mts20140618.client import Client as Mts20140618Client
from alibabacloud_tea_openapi import models as open_api_models
from alibabacloud_mts20140618 import models as mts_20140618_models
from alibabacloud_tea_util import models as util_models
from alibabacloud_tea_util.client import Client as UtilClient
class Sample:
def __init__(self):
pass
@staticmethod
def create_client() -> Mts20140618Client:
"""
使用AK&SK初始化账号Client
@return: Client
@throws Exception
"""
config = open_api_models.Config(
# 必填，请确保代码运行环境设置了环境变量 ALIBABA_CLOUD_ACCESS_KEY_ID。,
access_key_id=os.environ['ALIBABA_CLOUD_ACCESS_KEY_ID'],
# 必填，请确保代码运行环境设置了环境变量 ALIBABA_CLOUD_ACCESS_KEY_SECRET。,
access_key_secret=os.environ['ALIBABA_CLOUD_ACCESS_KEY_SECRET']
)
config.endpoint = f'mts.cn-hangzhou.aliyuncs.com'
return Mts20140618Client(config)
@staticmethod
def main(
args: List[str],
) -> None:
client = Sample.create_client()
submit_smarttag_job_request = mts_20140618_models.SubmitSmarttagJobRequest(
# 管道ID
pipeline_id='2',
# 视频标题
title='example-title-****',
# 视频内容描述
content='example content ****',
# 额外的请求参数
params='false',
# Callback路径
notify_url='https://example.com/endpoint/aliyun/ai?id=76401125000***',
# 通过回调透传回来的信息
user_data='{"key":"value"}',
# 需要分析的视频或图片文件的地址
input='oss://mybucket-****/example-****.mp4',
# 模板ID用于指定分析算法
template_id='39f8e0bc005e4f309379701645f4****',
# 任务在其对应管道内的优先级
priority='5'
)
runtime = util_models.RuntimeOptions()
try:
# 复制代码运行请自行打印 API 的返回值
client.submit_smarttag_job_with_options(submit_smarttag_job_request, runtime)
except Exception as error:
# 此处仅做打印展示，请谨慎对待异常处理，在工程项目中切勿直接忽略异常。
# 错误 message
print(error.message)
# 诊断地址
print(error.data.get("Recommend"))
UtilClient.assert_as_string(error.message)
@staticmethod
async def main_async(
args: List[str],
) -> None:
client = Sample.create_client()
submit_smarttag_job_request = mts_20140618_models.SubmitSmarttagJobRequest(
# 管道ID
pipeline_id='2',
# 视频标题
title='example-title-****',
# 视频内容描述
content='example content ****',
# 额外的请求参数
params='false',
# Callback路径
notify_url='https://example.com/endpoint/aliyun/ai?id=76401125000***',
# 通过回调透传回来的信息
user_data='{"key":"value"}',
# 需要分析的视频或图片文件的地址
input='oss://mybucket-****/example-****.mp4',
# 模板ID用于指定分析算法
template_id='39f8e0bc005e4f309379701645f4****',
# 任务在其对应管道内的优先级
priority='5'
)
runtime = util_models.RuntimeOptions()
try:
# 复制代码运行请自行打印 API 的返回值
await client.submit_smarttag_job_with_options_async(submit_smarttag_job_request, runtime)
except Exception as error:
# 此处仅做打印展示，请谨慎对待异常处理，在工程项目中切勿直接忽略异常。
# 错误 message
print(error.message)
# 诊断地址
print(error.data.get("Recommend"))
UtilClient.assert_as_string(error.message)
if __name__ == '__main__':
Sample.main(sys.argv[1:]) 查询智能标签作业
调用QuerySmarttagJob查询智能标签作业，接口字段和参数详细信息请参见查询智能标签作业，调用示例如下：
import os
import sys
from typing import List
from alibabacloud_mts20140618.client import Client as Mts20140618Client
from alibabacloud_tea_openapi import models as open_api_models
from alibabacloud_mts20140618 import models as mts_20140618_models
from alibabacloud_tea_util import models as util_models
from alibabacloud_tea_util.client import Client as UtilClient
class Sample:
def __init__(self):
pass
@staticmethod
def create_client() -> Mts20140618Client:
"""
使用AK&SK初始化账号Client
@return: Client
@throws Exception
"""
config = open_api_models.Config(
# 必填，请确保代码运行环境设置了环境变量 ALIBABA_CLOUD_ACCESS_KEY_ID。,
access_key_id=os.environ['ALIBABA_CLOUD_ACCESS_KEY_ID'],
# 必填，请确保代码运行环境设置了环境变量 ALIBABA_CLOUD_ACCESS_KEY_SECRET。,
access_key_secret=os.environ['ALIBABA_CLOUD_ACCESS_KEY_SECRET']
)
config.endpoint = f'mts.cn-hangzhou.aliyuncs.com'
return Mts20140618Client(config)
@staticmethod
def main(
args: List[str],
) -> None:
client = Sample.create_client()
query_smarttag_job_request = mts_20140618_models.QuerySmarttagJobRequest(
#需要查询的智能标签作业ID
job_id='39f8e0bc005e4f309379701645f4****',
#额外的请求参数
params='{"labelResultType":"auto"}'
)
runtime = util_models.RuntimeOptions()
try:
# 复制代码运行请自行打印 API 的返回值
client.query_smarttag_job_with_options(query_smarttag_job_request, runtime)
except Exception as error:
# 此处仅做打印展示，请谨慎对待异常处理，在工程项目中切勿直接忽略异常。
# 错误 message
print(error.message)
# 诊断地址
print(error.data.get("Recommend"))
UtilClient.assert_as_string(error.message)
@staticmethod
async def main_async(
args: List[str],
) -> None:
client = Sample.create_client()
query_smarttag_job_request = mts_20140618_models.QuerySmarttagJobRequest(
# 需要查询的智能标签作业ID
job_id='39f8e0bc005e4f309379701645f4****',
# 额外的请求参数
params='{"labelResultType":"auto"}'
)
runtime = util_models.RuntimeOptions()
try:
# 复制代码运行请自行打印 API 的返回值
await client.query_smarttag_job_with_options_async(query_smarttag_job_request, runtime)
except Exception as error:
# 此处仅做打印展示，请谨慎对待异常处理，在工程项目中切勿直接忽略异常。
# 错误 message
print(error.message)
# 诊断地址
print(error.data.get("Recommend"))
UtilClient.assert_as_string(error.message)
if __name__ == '__main__':
Sample.main(sys.argv[1:])添加模板
调用AddSmarttagTemplate 添加一个模板，接口字段和参数详细信息请参见添加模板，调用示例如下：
import os
import sys
from typing import List
from alibabacloud_mts20140618.client import Client as Mts20140618Client
from alibabacloud_tea_openapi import models as open_api_models
from alibabacloud_mts20140618 import models as mts_20140618_models
from alibabacloud_tea_util import models as util_models
from alibabacloud_tea_util.client import Client as UtilClient
class Sample:
def __init__(self):
pass
@staticmethod
def create_client() -> Mts20140618Client:
"""
使用AK&SK初始化账号Client
@return: Client
@throws Exception
"""
config = open_api_models.Config(
# 必填，请确保代码运行环境设置了环境变量 ALIBABA_CLOUD_ACCESS_KEY_ID。,
access_key_id=os.environ['ALIBABA_CLOUD_ACCESS_KEY_ID'],
# 必填，请确保代码运行环境设置了环境变量 ALIBABA_CLOUD_ACCESS_KEY_SECRET。,
access_key_secret=os.environ['ALIBABA_CLOUD_ACCESS_KEY_SECRET']
)
config.endpoint = f'mts.cn-hangzhou.aliyuncs.com'
return Mts20140618Client(config)
@staticmethod
def main(
args: List[str],
) -> None:
client = Sample.create_client()
add_smarttag_template_request = mts_20140618_models.AddSmarttagTemplateRequest(
# 自定义模板名称
template_name='template-example-****',
# 待分析文件所处行业
industry='common',
# 待分析文件使用场景
scene='search',
# 分析类型
analyse_types='ocr',
# 参与识别的⼈脸库ID列表
face_category_ids='celebrity',
# 人脸算法的参数
face_custom_params_config='{ "faceDetThreshold":0.999, "faceRegThreshold":0.9 }',
# 参与识别的物体库ID列表
object_group_ids='general,item,weapon,animal',
# 参与识别的地域库ID列表
landmark_group_ids='common',
# 是否设置为默认模板（设置为默认模板后
is_default=True,
# 标注类型
label_type='hmi',
# 指定智能标签版本
label_version='1.0',
# 智能标签2.0和2.0-custom模式下
knowledge_config='{ "movie":"name,alias,chnl,genre", "music":"songName,artistName", "person":"name,gender" }',
# 关键词标签配置
keyword_config='"type": "name,location,organization,other" }'
)
runtime = util_models.RuntimeOptions()
try:
# 复制代码运行请自行打印 API 的返回值
client.add_smarttag_template_with_options(add_smarttag_template_request, runtime)
except Exception as error:
# 此处仅做打印展示，请谨慎对待异常处理，在工程项目中切勿直接忽略异常。
# 错误 message
print(error.message)
# 诊断地址
print(error.data.get("Recommend"))
UtilClient.assert_as_string(error.message)
@staticmethod
async def main_async(
args: List[str],
) -> None:
client = Sample.create_client()
add_smarttag_template_request = mts_20140618_models.AddSmarttagTemplateRequest(
# 自定义模板名称
template_name='template-example-****',
# 待分析文件所处行业
industry='common',
# 待分析文件使用场景
scene='search',
# 分析类型
analyse_types='ocr',
# 参与识别的⼈脸库ID列表
face_category_ids='celebrity',
# 人脸算法的参数
face_custom_params_config='{ "faceDetThreshold":0.999, "faceRegThreshold":0.9 }',
# 参与识别的物体库ID列表
object_group_ids='general,item,weapon,animal',
# 参与识别的地域库ID列表
landmark_group_ids='common',
# 是否设置为默认模板（设置为默认模板后
is_default=True,
# 标注类型
label_type='hmi',
# 指定智能标签版本
label_version='1.0',
# 智能标签2.0和2.0-custom模式下
knowledge_config='{ "movie":"name,alias,chnl,genre", "music":"songName,artistName", "person":"name,gender" }',
# 关键词标签配置
keyword_config='"type": "name,location,organization,other" }'
)
runtime = util_models.RuntimeOptions()
try:
# 复制代码运行请自行打印 API 的返回值
await client.add_smarttag_template_with_options_async(add_smarttag_template_request, runtime)
except Exception as error:
# 此处仅做打印展示，请谨慎对待异常处理，在工程项目中切勿直接忽略异常。
# 错误 message
print(error.message)
# 诊断地址
print(error.data.get("Recommend"))
UtilClient.assert_as_string(error.message)
if __name__ == '__main__':
Sample.main(sys.argv[1:]) 查询模板
调用QuerySmarttagTemplateList查询模板信息，接口字段和参数详细信息请参见查询模板，调用示例如下：
import os
import sys
from typing import List
from alibabacloud_mts20140618.client import Client as Mts20140618Client
from alibabacloud_tea_openapi import models as open_api_models
from alibabacloud_mts20140618 import models as mts_20140618_models
from alibabacloud_tea_util import models as util_models
from alibabacloud_tea_util.client import Client as UtilClient
class Sample:
def __init__(self):
pass
@staticmethod
def create_client() -> Mts20140618Client:
"""
使用AK&SK初始化账号Client
@return: Client
@throws Exception
"""
config = open_api_models.Config(
# 必填，请确保代码运行环境设置了环境变量 ALIBABA_CLOUD_ACCESS_KEY_ID。,
access_key_id=os.environ['ALIBABA_CLOUD_ACCESS_KEY_ID'],
# 必填，请确保代码运行环境设置了环境变量 ALIBABA_CLOUD_ACCESS_KEY_SECRET。,
access_key_secret=os.environ['ALIBABA_CLOUD_ACCESS_KEY_SECRET']
)
config.endpoint = f'mts.cn-hangzhou.aliyuncs.com'
return Mts20140618Client(config)
@staticmethod
def main(
args: List[str],
) -> None:
client = Sample.create_client()
query_smarttag_template_list_request = mts_20140618_models.QuerySmarttagTemplateListRequest(
# 模板ID
template_id='05de22f255284c7a8d2aab535dde****'
)
runtime = util_models.RuntimeOptions()
try:
# 复制代码运行请自行打印 API 的返回值
client.query_smarttag_template_list_with_options(query_smarttag_template_list_request, runtime)
except Exception as error:
# 此处仅做打印展示，请谨慎对待异常处理，在工程项目中切勿直接忽略异常。
# 错误 message
print(error.message)
# 诊断地址
print(error.data.get("Recommend"))
UtilClient.assert_as_string(error.message)
@staticmethod
async def main_async(
args: List[str],
) -> None:
client = Sample.create_client()
query_smarttag_template_list_request = mts_20140618_models.QuerySmarttagTemplateListRequest(
# 模板ID
template_id='05de22f255284c7a8d2aab535dde****'
)
runtime = util_models.RuntimeOptions()
try:
# 复制代码运行请自行打印 API 的返回值
await client.query_smarttag_template_list_with_options_async(query_smarttag_template_list_request, runtime)
except Exception as error:
# 此处仅做打印展示，请谨慎对待异常处理，在工程项目中切勿直接忽略异常。
# 错误 message
print(error.message)
# 诊断地址
print(error.data.get("Recommend"))
UtilClient.assert_as_string(error.message)
if __name__ == '__main__':
Sample.main(sys.argv[1:]) 更新模板
调用UpdateSmarttagTemplate更新模板信息，接口字段和参数详细信息请参见更新模板，调用示例如下：
import os
import sys
from typing import List
from alibabacloud_mts20140618.client import Client as Mts20140618Client
from alibabacloud_tea_openapi import models as open_api_models
from alibabacloud_mts20140618 import models as mts_20140618_models
from alibabacloud_tea_util import models as util_models
from alibabacloud_tea_util.client import Client as UtilClient
class Sample:
def __init__(self):
pass
@staticmethod
def create_client() -> Mts20140618Client:
"""
使用AK&SK初始化账号Client
@return: Client
@throws Exception
"""
config = open_api_models.Config(
# 必填，请确保代码运行环境设置了环境变量 ALIBABA_CLOUD_ACCESS_KEY_ID。,
access_key_id=os.environ['ALIBABA_CLOUD_ACCESS_KEY_ID'],
# 必填，请确保代码运行环境设置了环境变量 ALIBABA_CLOUD_ACCESS_KEY_SECRET。,
access_key_secret=os.environ['ALIBABA_CLOUD_ACCESS_KEY_SECRET']
)
config.endpoint = f'mts.cn-hangzhou.aliyuncs.com'
return Mts20140618Client(config)
@staticmethod
def main(
args: List[str],
) -> None:
client = Sample.create_client()
update_smarttag_template_request = mts_20140618_models.UpdateSmarttagTemplateRequest(
# 模板ID
template_id='05de22f255284c7a8d2aab535dde****',
# 自定义模板名称
template_name='template-example-****',
# 待分析文件所处行业
industry='common',
# 使用场景
scene='search',
# 分析类型
analyse_types='ocr,asr',
# 参与识别的⼈脸库ID列表
face_category_ids='celebrity',
# 人脸算法的参数
face_custom_params_config='{ "faceDetThreshold":0.999, "faceRegThreshold":0.9 }',
# 参与识别的物体库ID列表
object_group_ids='general,item,weapon,animal',
# 参与识别的地域库ID列表
landmark_group_ids='common',
# 是否默认模板
is_default=True,
# 标注类型
label_type='hmi',
# 指定智能标签版本
label_version='1.0',
# 智能标签2.0和2.0-custom模式下
knowledge_config='{ "movie":"name,alias,chnl,genre", "music":"songName,artistName", "person":"name,gender" }',
# 关键词标签配置
keyword_config='{ "type": "name,location,organization,other" }'
)
runtime = util_models.RuntimeOptions()
try:
# 复制代码运行请自行打印 API 的返回值
client.update_smarttag_template_with_options(update_smarttag_template_request, runtime)
except Exception as error:
# 此处仅做打印展示，请谨慎对待异常处理，在工程项目中切勿直接忽略异常。
# 错误 message
print(error.message)
# 诊断地址
print(error.data.get("Recommend"))
UtilClient.assert_as_string(error.message)
@staticmethod
async def main_async(
args: List[str],
) -> None:
client = Sample.create_client()
update_smarttag_template_request = mts_20140618_models.UpdateSmarttagTemplateRequest(
# 模板ID
template_id='05de22f255284c7a8d2aab535dde****',
# 自定义模板名称
template_name='template-example-****',
# 待分析文件所处行业
industry='common',
# 使用场景
scene='search',
# 分析类型
analyse_types='ocr,asr',
# 参与识别的⼈脸库ID列表
face_category_ids='celebrity',
# 人脸算法的参数
face_custom_params_config='{ "faceDetThreshold":0.999, "faceRegThreshold":0.9 }',
# 参与识别的物体库ID列表
object_group_ids='general,item,weapon,animal',
# 参与识别的地域库ID列表
landmark_group_ids='common',
# 是否默认模板
is_default=True,
# 标注类型
label_type='hmi',
# 指定智能标签版本
label_version='1.0',
# 智能标签2.0和2.0-custom模式下
knowledge_config='{ "movie":"name,alias,chnl,genre", "music":"songName,artistName", "person":"name,gender" }',
# 关键词标签配置
keyword_config='{ "type": "name,location,organization,other" }'
)
runtime = util_models.RuntimeOptions()
try:
# 复制代码运行请自行打印 API 的返回值
await client.update_smarttag_template_with_options_async(update_smarttag_template_request, runtime)
except Exception as error:
# 此处仅做打印展示，请谨慎对待异常处理，在工程项目中切勿直接忽略异常。
# 错误 message
print(error.message)
# 诊断地址
print(error.data.get("Recommend"))
UtilClient.assert_as_string(error.message)
if __name__ == '__main__':
Sample.main(sys.argv[1:]) 删除模板
调用DeleteSmarttagTemplate删除模板，接口字段和参数详细信息请参见删除模板，调用示例如下：
import os
import sys
from typing import List
from alibabacloud_mts20140618.client import Client as Mts20140618Client
from alibabacloud_tea_openapi import models as open_api_models
from alibabacloud_mts20140618 import models as mts_20140618_models
from alibabacloud_tea_util import models as util_models
from alibabacloud_tea_util.client import Client as UtilClient
class Sample:
def __init__(self):
pass
@staticmethod
def create_client() -> Mts20140618Client:
"""
使用AK&SK初始化账号Client
@return: Client
@throws Exception
"""
config = open_api_models.Config(
# 必填，请确保代码运行环境设置了环境变量 ALIBABA_CLOUD_ACCESS_KEY_ID。,
access_key_id=os.environ['ALIBABA_CLOUD_ACCESS_KEY_ID'],
# 必填，请确保代码运行环境设置了环境变量 ALIBABA_CLOUD_ACCESS_KEY_SECRET。,
access_key_secret=os.environ['ALIBABA_CLOUD_ACCESS_KEY_SECRET']
)
config.endpoint = f'mts.cn-hangzhou.aliyuncs.com'
return Mts20140618Client(config)
@staticmethod
def main(
args: List[str],
) -> None:
client = Sample.create_client()
delete_smarttag_template_request = mts_20140618_models.DeleteSmarttagTemplateRequest(
# 需要删除的模板ID
template_id='05de22f255284c7a8d2aab535dde****'
)
runtime = util_models.RuntimeOptions()
try:
# 复制代码运行请自行打印 API 的返回值
client.delete_smarttag_template_with_options(delete_smarttag_template_request, runtime)
except Exception as error:
# 此处仅做打印展示，请谨慎对待异常处理，在工程项目中切勿直接忽略异常。
# 错误 message
print(error.message)
# 诊断地址
print(error.data.get("Recommend"))
UtilClient.assert_as_string(error.message)
@staticmethod
async def main_async(
args: List[str],
) -> None:
client = Sample.create_client()
delete_smarttag_template_request = mts_20140618_models.DeleteSmarttagTemplateRequest(
# 需要删除的模板ID
template_id='05de22f255284c7a8d2aab535dde****'
)
runtime = util_models.RuntimeOptions()
try:
# 复制代码运行请自行打印 API 的返回值
await client.delete_smarttag_template_with_options_async(delete_smarttag_template_request, runtime)
except Exception as error:
# 此处仅做打印展示，请谨慎对待异常处理，在工程项目中切勿直接忽略异常。
# 错误 message
print(error.message)
# 诊断地址
print(error.data.get("Recommend"))
UtilClient.assert_as_string(error.message)
if __name__ == '__main__':
Sample.main(sys.argv[1:])注册自定义人脸
调用RegisterCustomFace注册自定义人脸，接口字段和详细参数信息请参见注册⾃定义⼈脸，调用示例如下：
import os
import sys
from typing import List
from alibabacloud_mts20140618.client import Client as Mts20140618Client
from alibabacloud_tea_openapi import models as open_api_models
from alibabacloud_mts20140618 import models as mts_20140618_models
from alibabacloud_tea_util import models as util_models
from alibabacloud_tea_util.client import Client as UtilClient
class Sample:
def __init__(self):
pass
@staticmethod
def create_client() -> Mts20140618Client:
"""
使用AK&SK初始化账号Client
@return: Client
@throws Exception
"""
config = open_api_models.Config(
# 必填，请确保代码运行环境设置了环境变量 ALIBABA_CLOUD_ACCESS_KEY_ID。,
access_key_id=os.environ['ALIBABA_CLOUD_ACCESS_KEY_ID'],
# 必填，请确保代码运行环境设置了环境变量 ALIBABA_CLOUD_ACCESS_KEY_SECRET。,
access_key_secret=os.environ['ALIBABA_CLOUD_ACCESS_KEY_SECRET']
)
config.endpoint = f'mts.cn-hangzhou.aliyuncs.com'
return Mts20140618Client(config)
@staticmethod
def main(
args: List[str],
) -> None:
client = Sample.create_client()
register_custom_face_request = mts_20140618_models.RegisterCustomFaceRequest(
# ⼈物库ID
category_id='CategoryId001-****',
# ⼈物ID
person_id='PersonId001-****',
# 需要注册的⼈脸图⽚公网地址
image_url='http://example-****.jpeg'
)
runtime = util_models.RuntimeOptions()
try:
# 复制代码运行请自行打印 API 的返回值
client.register_custom_face_with_options(register_custom_face_request, runtime)
except Exception as error:
# 此处仅做打印展示，请谨慎对待异常处理，在工程项目中切勿直接忽略异常。
# 错误 message
print(error.message)
# 诊断地址
print(error.data.get("Recommend"))
UtilClient.assert_as_string(error.message)
@staticmethod
async def main_async(
args: List[str],
) -> None:
client = Sample.create_client()
register_custom_face_request = mts_20140618_models.RegisterCustomFaceRequest(
# ⼈物库ID
category_id='CategoryId001-****',
# ⼈物ID
person_id='PersonId001-****',
# 需要注册的⼈脸图⽚公网地址
image_url='http://example-****.jpeg'
)
runtime = util_models.RuntimeOptions()
try:
# 复制代码运行请自行打印 API 的返回值
await client.register_custom_face_with_options_async(register_custom_face_request, runtime)
except Exception as error:
# 此处仅做打印展示，请谨慎对待异常处理，在工程项目中切勿直接忽略异常。
# 错误 message
print(error.message)
# 诊断地址
print(error.data.get("Recommend"))
UtilClient.assert_as_string(error.message)
if __name__ == '__main__':
Sample.main(sys.argv[1:])注销自定义人脸
调用UnregisterCustomFace注销自定义人脸，接口字段和参数详细说明请参见注销⾃定义⼈脸，调用示例如下：
import os
import sys
from typing import List
from alibabacloud_mts20140618.client import Client as Mts20140618Client
from alibabacloud_tea_openapi import models as open_api_models
from alibabacloud_mts20140618 import models as mts_20140618_models
from alibabacloud_tea_util import models as util_models
from alibabacloud_tea_util.client import Client as UtilClient
class Sample:
def __init__(self):
pass
@staticmethod
def create_client() -> Mts20140618Client:
"""
使用AK&SK初始化账号Client
@return: Client
@throws Exception
"""
config = open_api_models.Config(
# 必填，请确保代码运行环境设置了环境变量 ALIBABA_CLOUD_ACCESS_KEY_ID。,
access_key_id=os.environ['ALIBABA_CLOUD_ACCESS_KEY_ID'],
# 必填，请确保代码运行环境设置了环境变量 ALIBABA_CLOUD_ACCESS_KEY_SECRET。,
access_key_secret=os.environ['ALIBABA_CLOUD_ACCESS_KEY_SECRET']
)
config.endpoint = f'mts.cn-hangzhou.aliyuncs.com'
return Mts20140618Client(config)
@staticmethod
def main(
args: List[str],
) -> None:
client = Sample.create_client()
unregister_custom_face_request = mts_20140618_models.UnregisterCustomFaceRequest(
# ⼈物库ID
category_id='CategoryId001-****',
# ⼈物ID
person_id='PersonId001-****',
# 人脸ID
face_id='15****'
)
runtime = util_models.RuntimeOptions()
try:
# 复制代码运行请自行打印 API 的返回值
client.unregister_custom_face_with_options(unregister_custom_face_request, runtime)
except Exception as error:
# 此处仅做打印展示，请谨慎对待异常处理，在工程项目中切勿直接忽略异常。
# 错误 message
print(error.message)
# 诊断地址
print(error.data.get("Recommend"))
UtilClient.assert_as_string(error.message)
@staticmethod
async def main_async(
args: List[str],
) -> None:
client = Sample.create_client()
unregister_custom_face_request = mts_20140618_models.UnregisterCustomFaceRequest(
# ⼈物库ID
category_id='CategoryId001-****',
# ⼈物ID
person_id='PersonId001-****',
# 人脸ID
face_id='15****'
)
runtime = util_models.RuntimeOptions()
try:
# 复制代码运行请自行打印 API 的返回值
await client.unregister_custom_face_with_options_async(unregister_custom_face_request, runtime)
except Exception as error:
# 此处仅做打印展示，请谨慎对待异常处理，在工程项目中切勿直接忽略异常。
# 错误 message
print(error.message)
# 诊断地址
print(error.data.get("Recommend"))
UtilClient.assert_as_string(error.message)
if __name__ == '__main__':
Sample.main(sys.argv[1:])添加自定义人物库或人物标签
调用TagCustomPerson添加自定义人物库或人物标签，接口字段和参数详细信息请参见添加自定义人物库或人物标签，调用示例如下：
import os
import sys
from typing import List
from alibabacloud_mts20140618.client import Client as Mts20140618Client
from alibabacloud_tea_openapi import models as open_api_models
from alibabacloud_mts20140618 import models as mts_20140618_models
from alibabacloud_tea_util import models as util_models
from alibabacloud_tea_util.client import Client as UtilClient
class Sample:
def __init__(self):
pass
@staticmethod
def create_client() -> Mts20140618Client:
"""
使用AK&SK初始化账号Client
@return: Client
@throws Exception
"""
config = open_api_models.Config(
# 必填，请确保代码运行环境设置了环境变量 ALIBABA_CLOUD_ACCESS_KEY_ID。,
access_key_id=os.environ['ALIBABA_CLOUD_ACCESS_KEY_ID'],
# 必填，请确保代码运行环境设置了环境变量 ALIBABA_CLOUD_ACCESS_KEY_SECRET。,
access_key_secret=os.environ['ALIBABA_CLOUD_ACCESS_KEY_SECRET']
)
config.endpoint = f'mts.cn-hangzhou.aliyuncs.com'
return Mts20140618Client(config)
@staticmethod
def main(
args: List[str],
) -> None:
client = Sample.create_client()
tag_custom_person_request = mts_20140618_models.TagCustomPersonRequest(
# ⼈物库ID
category_id='CategoryId001-****',
# ⼈物库名称
category_name='CategoryNametest-****',
# ⼈物库描述
category_description='CategoryDescription001-****',
# ⼈物ID
person_id='PersonId001-****',
# ⼈物名称
person_name='PersonNametest-****',
# ⼈物描述
person_description='PersonDescriptiontest-****'
)
runtime = util_models.RuntimeOptions()
try:
# 复制代码运行请自行打印 API 的返回值
client.tag_custom_person_with_options(tag_custom_person_request, runtime)
except Exception as error:
# 此处仅做打印展示，请谨慎对待异常处理，在工程项目中切勿直接忽略异常。
# 错误 message
print(error.message)
# 诊断地址
print(error.data.get("Recommend"))
UtilClient.assert_as_string(error.message)
@staticmethod
async def main_async(
args: List[str],
) -> None:
client = Sample.create_client()
tag_custom_person_request = mts_20140618_models.TagCustomPersonRequest(
# ⼈物库ID
category_id='CategoryId001-****',
# ⼈物库名称
category_name='CategoryNametest-****',
# ⼈物库描述
category_description='CategoryDescription001-****',
# ⼈物ID
person_id='PersonId001-****',
# ⼈物名称
person_name='PersonNametest-****',
# ⼈物描述
person_description='PersonDescriptiontest-****'
)
runtime = util_models.RuntimeOptions()
try:
# 复制代码运行请自行打印 API 的返回值
await client.tag_custom_person_with_options_async(tag_custom_person_request, runtime)
except Exception as error:
# 此处仅做打印展示，请谨慎对待异常处理，在工程项目中切勿直接忽略异常。
# 错误 message
print(error.message)
# 诊断地址
print(error.data.get("Recommend"))
UtilClient.assert_as_string(error.message)
if __name__ == '__main__':
Sample.main(sys.argv[1:])列出人物库所有人物和人脸信息
调用ListCustomPersons列出人物库所有人物和人脸信息，接口字段和参数详细说明请参见列出⼈物库所有⼈物和⼈脸信息，调用示例如下：
import os
import sys
from typing import List
from alibabacloud_mts20140618.client import Client as Mts20140618Client
from alibabacloud_tea_openapi import models as open_api_models
from alibabacloud_mts20140618 import models as mts_20140618_models
from alibabacloud_tea_util import models as util_models
from alibabacloud_tea_util.client import Client as UtilClient
class Sample:
def __init__(self):
pass
@staticmethod
def create_client() -> Mts20140618Client:
"""
使用AK&SK初始化账号Client
@return: Client
@throws Exception
"""
config = open_api_models.Config(
# 必填，请确保代码运行环境设置了环境变量 ALIBABA_CLOUD_ACCESS_KEY_ID。,
access_key_id=os.environ['ALIBABA_CLOUD_ACCESS_KEY_ID'],
# 必填，请确保代码运行环境设置了环境变量 ALIBABA_CLOUD_ACCESS_KEY_SECRET。,
access_key_secret=os.environ['ALIBABA_CLOUD_ACCESS_KEY_SECRET']
)
config.endpoint = f'mts.cn-hangzhou.aliyuncs.com'
return Mts20140618Client(config)
@staticmethod
def main(
args: List[str],
) -> None:
client = Sample.create_client()
list_custom_persons_request = mts_20140618_models.ListCustomPersonsRequest(
# ⼈物库ID
category_id='CategoryId-****',
# ⼈物ID
person_id='PersonId-****'
)
runtime = util_models.RuntimeOptions()
try:
# 复制代码运行请自行打印 API 的返回值
client.list_custom_persons_with_options(list_custom_persons_request, runtime)
except Exception as error:
# 此处仅做打印展示，请谨慎对待异常处理，在工程项目中切勿直接忽略异常。
# 错误 message
print(error.message)
# 诊断地址
print(error.data.get("Recommend"))
UtilClient.assert_as_string(error.message)
@staticmethod
async def main_async(
args: List[str],
) -> None:
client = Sample.create_client()
list_custom_persons_request = mts_20140618_models.ListCustomPersonsRequest(
# ⼈物库ID
category_id='CategoryId-****',
# ⼈物ID
person_id='PersonId-****'
)
runtime = util_models.RuntimeOptions()
try:
# 复制代码运行请自行打印 API 的返回值
await client.list_custom_persons_with_options_async(list_custom_persons_request, runtime)
except Exception as error:
# 此处仅做打印展示，请谨慎对待异常处理，在工程项目中切勿直接忽略异常。
# 错误 message
print(error.message)
# 诊断地址
print(error.data.get("Recommend"))
UtilClient.assert_as_string(error.message)
if __name__ == '__main__':
Sample.main(sys.argv[1:])文档内容是否对您有帮助？