Class ImageAnnotatorClient (3.1.4)

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ImageAnnotatorClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.vision_v1.services.image_annotator.transports.base.ImageAnnotatorTransport]] = None, 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.

Inheritance

builtins.object > ImageAnnotatorClient

Properties

transport

Returns the transport used by the client instance.

Returns
TypeDescription
ImageAnnotatorTransportThe transport used by the client instance.

Methods

ImageAnnotatorClient

ImageAnnotatorClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.vision_v1.services.image_annotator.transports.base.ImageAnnotatorTransport]] = None, 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
NameDescription
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 google.api_core.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.

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
TypeDescription
google.auth.exceptions.MutualTLSChannelErrorIf 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: Optional[Union[google.cloud.vision_v1.types.image_annotator.AsyncBatchAnnotateFilesRequest, dict]] = None, *, requests: Optional[Sequence[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: Optional[float] = None, 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

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

    # 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 = operation.result()

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.vision_v1.types.AsyncBatchAnnotateFilesRequest, dict]

The request object. Multiple async file annotation requests are batched into a single service call.

requests Sequence[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
TypeDescription
google.api_core.operation.OperationAn 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[Sequence[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: Optional[float] = None, 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

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

    # 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 = operation.result()

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.vision_v1.types.AsyncBatchAnnotateImagesRequest, dict]

The request object. Request for async image annotation for a list of images.

requests Sequence[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 google.cloud.vision_v1.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
TypeDescription
google.api_core.operation.OperationAn 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[Sequence[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: Optional[float] = None, 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

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

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

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

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.vision_v1.types.BatchAnnotateFilesRequest, dict]

The request object. A list of requests to annotate files using the BatchAnnotateFiles API.

requests Sequence[google.cloud.vision_v1.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
TypeDescription
google.cloud.vision_v1.types.BatchAnnotateFilesResponseA list of file annotation responses.

batch_annotate_images

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

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_v1

def sample_batch_annotate_images():
    # Create a client
    client = vision_v1.ImageAnnotatorClient()

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

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

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.vision_v1.types.BatchAnnotateImagesRequest, dict]

The request object. Multiple image annotation requests are batched into a single service call.

requests Sequence[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.

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
TypeDescription
google.cloud.vision_v1.types.BatchAnnotateImagesResponseResponse to a batch image annotation request.

common_billing_account_path

common_billing_account_path(billing_account: str)

Returns a fully-qualified billing_account string.

common_folder_path

common_folder_path(folder: str)

Returns a fully-qualified folder string.

common_location_path

common_location_path(project: str, location: str)

Returns a fully-qualified location string.

common_organization_path

common_organization_path(organization: str)

Returns a fully-qualified organization string.

common_project_path

common_project_path(project: 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.

Parameter
NameDescription
filename str

The path to the service account private key json file.

Returns
TypeDescription
ImageAnnotatorClientThe constructed client.

from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

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

Parameter
NameDescription
info dict

The service account private key info.

Returns
TypeDescription
ImageAnnotatorClientThe constructed client.

from_service_account_json

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

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

Parameter
NameDescription
filename str

The path to the service account private key json file.

Returns
TypeDescription
ImageAnnotatorClientThe constructed client.

get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: Optional[google.api_core.client_options.ClientOptions] = None,
)

Return the API endpoint and client cert source for mutual TLS.

The client cert source is determined in the following order: (1) if GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is not "true", the client cert source is None. (2) if client_options.client_cert_source is provided, use the provided one; if the default client cert source exists, use the default one; otherwise the client cert source is None.

The API endpoint is determined in the following order: (1) if client_options.api_endpoint if provided, use the provided one. (2) if GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "always", use the default mTLS endpoint; if the environment variabel is "never", use the default API endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise use the default API endpoint.

More details can be found at https://google.aip.dev/auth/4114.

Parameter
NameDescription
client_options google.api_core.client_options.ClientOptions

Custom options for the client. Only the api_endpoint and client_cert_source properties may be used in this method.

Exceptions
TypeDescription
google.auth.exceptions.MutualTLSChannelErrorIf any errors happen.
Returns
TypeDescription
Tuple[str, Callable[[], Tuple[bytes, bytes]]]returns the API endpoint and the client cert source to use.

parse_common_billing_account_path

parse_common_billing_account_path(path: str)

Parse a billing_account path into its component segments.

parse_common_folder_path

parse_common_folder_path(path: str)

Parse a folder path into its component segments.

parse_common_location_path

parse_common_location_path(path: str)

Parse a location path into its component segments.

parse_common_organization_path

parse_common_organization_path(path: str)

Parse a organization path into its component segments.

parse_common_project_path

parse_common_project_path(path: str)

Parse a project path into its component segments.

parse_product_path

parse_product_path(path: str)

Parses a product path into its component segments.

parse_product_set_path

parse_product_set_path(path: str)

Parses a product_set path into its component segments.

product_path

product_path(project: str, location: str, product: str)

Returns a fully-qualified product string.

product_set_path

product_set_path(project: str, location: str, product_set: str)

Returns a fully-qualified product_set string.