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[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 > ImageAnnotatorClientProperties
transport
Returns the transport used by the client instance.
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[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.
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 |
google.api_core.client_options.ClientOptions
Custom options for the client. It won't take effect if a |
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 |
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[Sequence[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: 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).
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)
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 |
Sequence[google.cloud.vision_v1p4beta1.types.AsyncAnnotateFileRequest]
Required. Individual async file annotation requests for this batch. This corresponds to the |
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. |
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[Sequence[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: 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.
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)
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 |
Sequence[google.cloud.vision_v1p4beta1.types.AnnotateImageRequest]
Required. Individual image annotation requests for this batch. This corresponds to the |
output_config |
google.cloud.vision_v1p4beta1.types.OutputConfig
Required. The desired output location and metadata (e.g. format). This corresponds to the |
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. |
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[Sequence[google.cloud.vision_v1p4beta1.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.
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)
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 |
Sequence[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 |
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. |
Type | Description |
google.cloud.vision_v1p4beta1.types.BatchAnnotateFilesResponse | A list of file annotation responses. |
batch_annotate_images
batch_annotate_images(request: Optional[Union[google.cloud.vision_v1p4beta1.types.image_annotator.BatchAnnotateImagesRequest, dict]] = None, *, requests: Optional[Sequence[google.cloud.vision_v1p4beta1.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.
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)
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 |
Sequence[google.cloud.vision_v1p4beta1.types.AnnotateImageRequest]
Required. Individual image annotation requests for this batch. This corresponds to the |
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. |
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)
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.
Name | Description |
filename |
str
The path to the service account private key json file. |
Type | Description |
ImageAnnotatorClient | The 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.
Name | Description |
info |
dict
The service account private key info. |
Type | Description |
ImageAnnotatorClient | The 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.
Name | Description |
filename |
str
The path to the service account private key json file. |
Type | Description |
ImageAnnotatorClient | The 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.
Name | Description |
client_options |
google.api_core.client_options.ClientOptions
Custom options for the client. Only the |
Type | Description |
google.auth.exceptions.MutualTLSChannelError | If any errors happen. |
Type | Description |
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.