Class ImageAnnotatorClient (3.4.5)

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

async_batch_annotate_files

async_batch_annotate_files(
    request: typing.Optional[
        typing.Union[
            google.cloud.vision_v1p4beta1.types.image_annotator.AsyncBatchAnnotateFilesRequest,
            dict,
        ]
    ] = None,
    *,
    requests: typing.Optional[
        typing.MutableSequence[
            google.cloud.vision_v1p4beta1.types.image_annotator.AsyncAnnotateFileRequest
        ]
    ] = None,
    retry: typing.Union[
        google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

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: typing.Optional[
        typing.Union[
            google.cloud.vision_v1p4beta1.types.image_annotator.AsyncBatchAnnotateImagesRequest,
            dict,
        ]
    ] = None,
    *,
    requests: typing.Optional[
        typing.MutableSequence[
            google.cloud.vision_v1p4beta1.types.image_annotator.AnnotateImageRequest
        ]
    ] = None,
    output_config: typing.Optional[
        google.cloud.vision_v1p4beta1.types.image_annotator.OutputConfig
    ] = None,
    retry: typing.Union[
        google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

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: typing.Optional[
        typing.Union[
            google.cloud.vision_v1p4beta1.types.image_annotator.BatchAnnotateFilesRequest,
            dict,
        ]
    ] = None,
    *,
    requests: typing.Optional[
        typing.MutableSequence[
            google.cloud.vision_v1p4beta1.types.image_annotator.AnnotateFileRequest
        ]
    ] = None,
    retry: typing.Union[
        google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.vision_v1p4beta1.types.image_annotator.BatchAnnotateFilesResponse

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_v1p4beta1

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

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

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

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.vision_v1p4beta1.types.BatchAnnotateFilesRequest, dict]` The request object. A list of requests to annotate files using the BatchAnnotateFiles API.
`requests`	`MutableSequence[google.cloud.vision_v1p4beta1.types.AnnotateFileRequest]` Required. The list of file annotation requests. Right now we support only one AnnotateFileRequest in BatchAnnotateFilesRequest. 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.cloud.vision_v1p4beta1.types.BatchAnnotateFilesResponse`	A list of file annotation responses.

batch_annotate_images

batch_annotate_images(
    request: typing.Optional[
        typing.Union[
            google.cloud.vision_v1p4beta1.types.image_annotator.BatchAnnotateImagesRequest,
            dict,
        ]
    ] = None,
    *,
    requests: typing.Optional[
        typing.MutableSequence[
            google.cloud.vision_v1p4beta1.types.image_annotator.AnnotateImageRequest
        ]
    ] = None,
    retry: typing.Union[
        google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.vision_v1p4beta1.types.image_annotator.BatchAnnotateImagesResponse

Run image detection and annotation for a batch of images.

# 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_batch_annotate_images():
    # Create a client
    client = vision_v1p4beta1.ImageAnnotatorClient()

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

    # Make the request
    response = client.batch_annotate_images(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.vision_v1p4beta1.types.BatchAnnotateImagesRequest, dict]` The request object. Multiple image annotation requests are batched into a single service call.
`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.
`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.cloud.vision_v1p4beta1.types.BatchAnnotateImagesResponse`	Response to a batch image annotation request.

common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.