Examples

Index > Rekognition > Examples

Auto-generated documentation for Rekognition type annotations stubs module types-aiobotocore-rekognition.

Client

Implicit type annotations

Can be used with types-aiobotocore[rekognition] package installed.

Write your Rekognition code as usual, type checking and code completion should work out of the box.

# RekognitionClient usage example

from aiobotocore.session import get_session


session = get_session()

async with session.create_client("rekognition") as client:  # (1)
    result = await client.associate_faces()  # (2)

1. client: RekognitionClient
2. result: AssociateFacesResponseTypeDef

# DescribeProjectVersionsPaginator usage example

from aiobotocore.session import get_session


session = get_session()

async with session.create_client("rekognition") as client:  # (1)
    paginator = client.get_paginator("describe_project_versions")  # (2)
    async for item in paginator.paginate(...):
        print(item)  # (3)

1. client: RekognitionClient
2. paginator: DescribeProjectVersionsPaginator
3. item: DescribeProjectVersionsResponseTypeDef

# ProjectVersionRunningWaiter usage example

from aiobotocore.session import get_session


session = get_session()

async with session.create_client("rekognition") as client:  # (1)
    waiter = client.get_waiter("project_version_running")  # (2)
    await waiter.wait()

1. client: RekognitionClient
2. waiter: ProjectVersionRunningWaiter

Explicit type annotations

With types-aiobotocore-lite[rekognition] or a standalone types_aiobotocore_rekognition package, you have to explicitly specify client: RekognitionClient type annotation.

All other type annotations are optional, as types should be discovered automatically. However, these type annotations can be helpful in your functions and methods.

# RekognitionClient usage example with type annotations

from aiobotocore.session import get_session

from types_aiobotocore_rekognition.client import RekognitionClient
from types_aiobotocore_rekognition.type_defs import AssociateFacesResponseTypeDef
from types_aiobotocore_rekognition.type_defs import AssociateFacesRequestRequestTypeDef


session = get_session()

async with session.create_client("rekognition") as client:
    client: RekognitionClient
    kwargs: AssociateFacesRequestRequestTypeDef = {...}
    result: AssociateFacesResponseTypeDef = await client.associate_faces(**kwargs)

# DescribeProjectVersionsPaginator usage example with type annotations

from aiobotocore.session import get_session

from types_aiobotocore_rekognition.client import RekognitionClient
from types_aiobotocore_rekognition.paginator import DescribeProjectVersionsPaginator
from types_aiobotocore_rekognition.type_defs import DescribeProjectVersionsResponseTypeDef


session = get_session()

async with session.create_client("rekognition") as client:
    client: RekognitionClient
    paginator: DescribeProjectVersionsPaginator = client.get_paginator("describe_project_versions")
    async for item in paginator.paginate(...):
        item: DescribeProjectVersionsResponseTypeDef
        print(item)

# ProjectVersionRunningWaiter usage example with type annotations

from aiobotocore.session import get_session

from types_aiobotocore_rekognition.client import RekognitionClient
from types_aiobotocore_rekognition.waiter import ProjectVersionRunningWaiter


session = get_session()

async with session.create_client("rekognition") as client:
    client: RekognitionClient
    waiter: ProjectVersionRunningWaiter = client.get_waiter("project_version_running")
    await waiter.wait()