Class ImageAnnotatorClient (3.4.0)

Version latest

• 3.3.1 (latest)
• 3.3.0

ImageAnnotatorClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.vision_v1p4beta1.services.image_annotator.transports.base.ImageAnnotatorTransport]] = None, client_options: Optional[Union[google.api_core.client_options.ClientOptions, dict]] = 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

ImageAnnotatorClient

ImageAnnotatorClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.vision_v1p4beta1.services.image_annotator.transports.base.ImageAnnotatorTransport]] = None, client_options: Optional[Union[google.api_core.client_options.ClientOptions, dict]] = 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	Optional[Union[google.api_core.client_options.ClientOptions, dict]] 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.
client_info	google.api_core.gapic_v1.client_info.ClientInfo The client info used to send a user-agent string along with API requests. If None, then default info will be used. Generally, you only need to set this if you're developing your own client library.

Exceptions

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

__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

Warning: ONLY use as a context manager if the transport is NOT shared with other clients! Exiting the with block will CLOSE the transport and may cause errors in other clients!

async_batch_annotate_files

async_batch_annotate_files(request: Optional[Union[google.cloud.vision_v1p4beta1.types.image_annotator.AsyncBatchAnnotateFilesRequest, dict]] = None, *, requests: Optional[MutableSequence[google.cloud.vision_v1p4beta1.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_v1p4beta1

def sample_async_batch_annotate_files():
    # Create a client
    client = vision_v1p4beta1.ImageAnnotatorClient()

    # Initialize request argument(s)
    request = vision_v1p4beta1.AsyncBatchAnnotateFilesRequest(
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters

Name	Description
request	Union[google.cloud.vision_v1p4beta1.types.AsyncBatchAnnotateFilesRequest, dict] The request object. Multiple async file annotation requests are batched into a single service call.
requests	MutableSequence[google.cloud.vision_v1p4beta1.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.Operation	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_v1p4beta1.types.image_annotator.AsyncBatchAnnotateImagesRequest, dict]] = None, *, requests: Optional[MutableSequence[google.cloud.vision_v1p4beta1.types.image_annotator.AnnotateImageRequest]] = None, output_config: Optional[google.cloud.vision_v1p4beta1.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_v1p4beta1

def sample_async_batch_annotate_images():
    # Create a client
    client = vision_v1p4beta1.ImageAnnotatorClient()

    # Initialize request argument(s)
    request = vision_v1p4beta1.AsyncBatchAnnotateImagesRequest(
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters

Name	Description
request	Union[google.cloud.vision_v1p4beta1.types.AsyncBatchAnnotateImagesRequest, dict] The request object. Request for async image annotation for a list of images.
requests	MutableSequence[google.cloud.vision_v1p4beta1.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	google.cloud.vision_v1p4beta1.types.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.Operation	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_v1p4beta1.types.image_annotator.BatchAnnotateFilesRequest, dict]] = None, *, requests: Optional[MutableSequence[go