Class ImageAnnotatorAsyncClient (3.4.0)

ImageAnnotatorAsyncClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Union[str, google.cloud.vision_v1.services.image_annotator.transports.base.ImageAnnotatorTransport] = 'grpc_asyncio', client_options: Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

Service that performs Google Cloud Vision API detection tasks over client images, such as face, landmark, logo, label, and text detection. The ImageAnnotator service returns detected entities from the images.

Properties

transport

Returns the transport used by the client instance.

Returns

Type	Description
`ImageAnnotatorTransport`	The transport used by the client instance.

Methods

ImageAnnotatorAsyncClient

ImageAnnotatorAsyncClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Union[str, google.cloud.vision_v1.services.image_annotator.transports.base.ImageAnnotatorTransport] = 'grpc_asyncio', client_options: Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

Instantiates the image annotator client.

Parameters

Name	Description
`credentials`	`Optional[google.auth.credentials.Credentials]` The authorization credentials to attach to requests. These credentials identify the application to the service; if none are specified, the client will attempt to ascertain the credentials from the environment.
`transport`	`Union[str, .ImageAnnotatorTransport]` The transport to use. If set to None, a transport is chosen automatically.
`client_options`	`ClientOptions` Custom options for the client. It won't take effect if a `transport` instance is provided. (1) The `api_endpoint` property can be used to override the default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT environment variable can also be used to override the endpoint: "always" (always use the default mTLS endpoint), "never" (always use the default regular endpoint) and "auto" (auto switch to the default mTLS endpoint if client certificate is present, this is the default value). However, the `api_endpoint` property takes precedence if provided. (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "true", then the `client_cert_source` property can be used to provide client certificate for mutual TLS transport. If not provided, the default SSL client certificate will be used if present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not set, no client certificate will be used.

Exceptions

Type	Description
`google.auth.exceptions.MutualTlsChannelError`	If mutual TLS transport creation failed for any reason.

async_batch_annotate_files

async_batch_annotate_files(request: Optional[Union[google.cloud.vision_v1.types.image_annotator.AsyncBatchAnnotateFilesRequest, dict]] = None, *, requests: Optional[MutableSequence[google.cloud.vision_v1.types.image_annotator.AsyncAnnotateFileRequest]] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())

Run asynchronous image detection and annotation for a list of generic files, such as PDF files, which may contain multiple pages and multiple images per page. Progress and results can be retrieved through the google.longrunning.Operations interface. Operation.metadata contains OperationMetadata (metadata). Operation.response contains AsyncBatchAnnotateFilesResponse (results).

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import vision_v1

async def sample_async_batch_annotate_files():
    # Create a client
    client = vision_v1.ImageAnnotatorAsyncClient()

    # Initialize request argument(s)
    request = vision_v1.AsyncBatchAnnotateFilesRequest(
    )

    # Make the request
    operation = client.async_batch_annotate_files(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)

Parameters

Name	Description
`request`	`Optional[Union[google.cloud.vision_v1.types.AsyncBatchAnnotateFilesRequest, dict]]` The request object. Multiple async file annotation requests are batched into a single service call.
`requests`	`:class:MutableSequence[google.cloud.vision_v1.types.AsyncAnnotateFileRequest]` Required. Individual async file annotation requests for this batch. This corresponds to the `requests` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type	Description
`google.api_core.operation_async.AsyncOperation`	An object representing a long-running operation. The result type for the operation will be AsyncBatchAnnotateFilesResponse Response to an async batch file annotation request.

async_batch_annotate_images

async_batch_annotate_images(request: Optional[Union[google.cloud.vision_v1.types.image_annotator.AsyncBatchAnnotateImagesRequest, dict]] = None, *, requests: Optional[MutableSequence[google.cloud.vision_v1.types.image_annotator.AnnotateImageRequest]] = None, output_config: Optional[google.cloud.vision_v1.types.image_annotator.OutputConfig] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())

Run asynchronous image detection and annotation for a list of images.

Progress and results can be retrieved through the google.longrunning.Operations interface. Operation.metadata contains OperationMetadata (metadata). Operation.response contains AsyncBatchAnnotateImagesResponse (results).

This service will write image annotation outputs to json files in customer GCS bucket, each json file containing BatchAnnotateImagesResponse proto.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import vision_v1

async def sample_async_batch_annotate_images():
    # Create a client
    client = vision_v1.ImageAnnotatorAsyncClient()

    # Initialize request argument(s)
    request = vision_v1.AsyncBatchAnnotateImagesRequest(
    )

    # Make the request
    operation = client.async_batch_annotate_images(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)

Parameters

Name	Description
`request`	`Optional[Union[google.cloud.vision_v1.types.AsyncBatchAnnotateImagesRequest, dict]]` The request object. Request for async image annotation for a list of images.
`requests`	`:class:MutableSequence[google.cloud.vision_v1.types.AnnotateImageRequest]` Required. Individual image annotation requests for this batch. This corresponds to the `requests` field on the `request` instance; if `request` is provided, this should not be set.
`output_config`	`OutputConfig` Required. The desired output location and metadata (e.g. format). This corresponds to the `output_config` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type	Description
`google.api_core.operation_async.AsyncOperation`	An object representing a long-running operation. The result type for the operation will be AsyncBatchAnnotateImagesResponse Response to an async batch image annotation request.

batch_annotate_files

batch_annotate_files(request: Optional[Union[google.cloud.vision_v1.types.image_annotator.BatchAnnotateFilesRequest, dict]] = None, *, requests: Optional[MutableSequence[google.cloud.vision_v1.types.image_annotator.AnnotateFileRequest]] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())

Service that performs image detection and annotation for a batch of files. Now only "application/pdf", "image/tiff" and "image/gif" are supported. This service will extract at most 5 (customers can specify which 5 in AnnotateFileRequest.pages) frames (gif) or pages (pdf or tiff) from each file provided and perform detection and annotation for each image extracted.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import vision_v1

async def sample_batch_annotate_files():
    # Create a client
    client = vision_v1.ImageAnnotatorAsyncClient()

    # Initialize request argument(s)
    request = vision_v1.BatchAnnotateFilesRequest(
    )

    # Make the request
    response = await client.batch_annotate_files(request=request)

    # Handle the response
    print(response)

Parameters

Name	Description
`request`	`Optional[Union[`