Class ImageAnnotatorClient (0.38.1)

ImageAnnotatorClient(
    transport=None,
    channel=None,
    credentials=None,
    client_config=None,
    client_info=None,
    client_options=None,
)

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 > google.cloud.vision_helpers.VisionHelpers > builtins.object > google.cloud.vision_v1p4beta1.gapic.image_annotator_client.ImageAnnotatorClient > ImageAnnotatorClient

Methods

ImageAnnotatorClient

ImageAnnotatorClient(
    transport=None,
    channel=None,
    credentials=None,
    client_config=None,
    client_info=None,
    client_options=None,
)

Constructor.

Parameters

Name	Description
channel	`grpc.Channel` DEPRECATED. A `Channel` instance through which to make calls. This argument is mutually exclusive with `credentials`; providing both will raise an exception.
credentials	`google.auth.credentials.Credentials` The authorization credentials to attach to requests. These credentials identify this application to the service. If none are specified, the client will attempt to ascertain the credentials from the environment. This argument is mutually exclusive with providing a transport instance to `transport`; doing so will raise an exception.
client_config	`dict` DEPRECATED. A dictionary of call options for each method. If not specified, the default configuration is 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.
client_options	`Union[dict, google.api_core.client_options.ClientOptions]` Client options used to set user options on the client. API Endpoint should be set through client_options.

annotate_image

annotate_image(request, retry=None, timeout=None)

Run image detection and annotation for an image.

.. rubric:: Example

from google.cloud.vision_v1 import ImageAnnotatorClient client = ImageAnnotatorClient() request = { ... 'image': { ... 'source': {'image_uri': 'https://foo.com/image.jpg'}, ... }, ... } response = client.annotate_image(request)

Parameters

Name	Description
retry	`Optional[google.api_core.retry.Retry]` A retry object used to retry requests. If `None` is specified, requests will not be retried.
timeout	`Optional[float]` The amount of time, in seconds, to wait for the request to complete. Note that if `retry` is specified, the timeout applies to each individual attempt.

async_batch_annotate_files

async_batch_annotate_files(requests, retry=<object object>, timeout=<object object>, metadata=None)

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).

.. rubric:: Example

from google.cloud import vision_v1p4beta1

client = vision_v1p4beta1.ImageAnnotatorClient()

TODO: Initialize requests:

requests = []

response = client.async_batch_annotate_files(requests)

def callback(operation_future): ... # Handle result. ... result = operation_future.result()

response.add_done_callback(callback)

Handle metadata.

metadata = response.metadata()

Parameters

Name	Description
requests	`list[Union[dict, AsyncAnnotateFileRequest]]` Individual async file annotation requests for this batch. If a dict is provided, it must be of the same form as the protobuf message AsyncAnnotateFileRequest
retry	`Optional[google.api_core.retry.Retry]` A retry object used to retry requests. If `None` is specified, requests will not be retried.
timeout	`Optional[float]` The amount of time, in seconds, to wait for the request to complete. Note that if `retry` is specified, the timeout applies to each individual attempt.
metadata	`Optional[Sequence[Tuple[str, str]]]` Additional metadata that is provided to the method.

Exceptions

Type	Description
google.api_core.exceptions.GoogleAPICallError	If the request failed for any reason.
google.api_core.exceptions.RetryError	If the request failed due to a retryable error and retry attempts failed.
ValueError	If the parameters are invalid.

async_batch_annotate_images

async_batch_annotate_images(requests, output_config, retry=<object object>, timeout=<object object>, metadata=None)

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.

.. rubric:: Example

from google.cloud import vision_v1p4beta1

client = vision_v1p4beta1.ImageAnnotatorClient()

TODO: Initialize requests:

requests = []

TODO: Initialize output_config:

output_config = {}

response = client.async_batch_annotate_images(requests, output_config)

def callback(operation_future): ... # Handle result. ... result = operation_future.result()

response.add_done_callback(callback)

Handle metadata.

metadata = response.metadata()

Parameters

Name	Description
requests	`list[Union[dict, AnnotateImageRequest]]` Individual image annotation requests for this batch. If a dict is provided, it must be of the same form as the protobuf message AnnotateImageRequest
output_config	`Union[dict, OutputConfig]` Required. The desired output location and metadata (e.g. format). If a dict is provided, it must be of the same form as the protobuf message OutputConfig
retry	`Optional[google.api_core.retry.Retry]` A retry object used to retry requests. If `None` is specified, requests will not be retried.
timeout	`Optional[float]` The amount of time, in seconds, to wait for the request to complete. Note that if `retry` is specified, the timeout applies to each individual attempt.
metadata	`Optional[Sequence[Tuple[str, str]]]` Additional metadata that is provided to the method.

Exceptions

Type	Description
google.api_core.exceptions.GoogleAPICallError	If the request failed for any reason.
google.api_core.exceptions.RetryError	If the request failed due to a retryable error and retry attempts failed.
ValueError	If the parameters are invalid.

batch_annotate_files

batch_annotate_files(requests, retry=<object object>, timeout=<object object>, metadata=None)

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 the first 10 frames (gif) or pages (pdf or tiff) from each file provided and perform detection and annotation for each image extracted.

.. rubric:: Example

from google.cloud import vision_v1p4beta1

client = vision_v1p4beta1.ImageAnnotatorClient()

TODO: Initialize requests:

requests = []

response = client.batch_annotate_files(requests)

Parameters

Name	Description
requests	`list[Union[dict, AnnotateFileRequest]]` The list of file annotation requests. Right now we support only one AnnotateFileRequest in BatchAnnotateFilesRequest. If a dict is provided, it must be of the same form as the protobuf message AnnotateFileRequest
retry	`Optional[google.api_core.retry.Retry]` A retry object used to retry requests. If `None` is specified, requests will not be retried.
timeout	`Optional[float]` The amount of time, in seconds, to wait for the request to complete. Note that if `retry` is specified, the timeout applies to each individual attempt.
metadata	`Optional[Sequence[Tuple[str, str]]]` Additional metadata that is provided to the method.

Exceptions

Type	Description
google.api_core.exceptions.GoogleAPICallError	If the request failed for any reason.
google.api_core.exceptions.RetryError	If the request failed due to a retryable error and retry attempts failed.
ValueError	If the parameters are invalid.

batch_annotate_images

batch_annotate_images(requests, retry=<object object>, timeout=<object object>, metadata=None)

Run image detection and annotation for a batch of images.

.. rubric:: Example

from google.cloud import vision_v1p4beta1

client = vision_v1p4beta1.ImageAnnotatorClient()

TODO: Initialize requests:

requests = []

response = client.batch_annotate_images(requests)

Parameters

Name	Description
requests	`list[Union[dict, AnnotateImageRequest]]` Individual image annotation requests for this batch. If a dict is provided, it must be of the same form as the protobuf message AnnotateImageRequest
retry	`Optional[google.api_core.retry.Retry]` A retry object used to retry requests. If `None` is specified, requests will not be retried.
timeout	`Optional[float]` The amount of time, in seconds, to wait for the request to complete. Note that if `retry` is specified, the timeout applies to each individual attempt.
metadata	`Optional[Sequence[Tuple[str, str]]]` Additional metadata that is provided to the method.

Exceptions

Type	Description
google.api_core.exceptions.GoogleAPICallError	If the request failed for any reason.
google.api_core.exceptions.RetryError	If the request failed due to a retryable error and retry attempts failed.
ValueError	If the parameters are invalid.

crop_hints

crop_hints(image, max_results=None, retry=None, timeout=None, **kwargs)

Return crop hints information.

Parameters

Name	Description
kwargs	`dict` Additional properties to be set on the AnnotateImageRequest.
image	`Image` The image to analyze.
max_results	`int` Number of results to return, does not apply for TEXT_DETECTION, DOCUMENT_TEXT_DETECTION, or CROP_HINTS.
retry	`int` Number of retries to do before giving up.
timeout	`int` Number of seconds before timing out.

Returns

Type	Description
AnnotateImageResponse	The API response.

document_text_detection

document_text_detection(
    image, max_results=None, retry=None, timeout=None, **kwargs
)

Perform document text detection.

Parameters

Name	Description
kwargs	`dict` Additional properties to be set on the AnnotateImageRequest.
image	`Image` The image to analyze.
max_results	`int` Number of results to return, does not apply for TEXT_DETECTION, DOCUMENT_TEXT_DETECTION, or CROP_HINTS.
retry	`int` Number of retries to do before giving up.
timeout	`int` Number of seconds before timing out.

Returns

Type	Description
AnnotateImageResponse	The API response.

face_detection

face_detection(image, max_results=None, retry=None, timeout=None, **kwargs)

Perform face detection.

Parameters

Name	Description
kwargs	`dict` Additional properties to be set on the AnnotateImageRequest.
image	`Image` The image to analyze.
max_results	`int` Number of results to return, does not apply for TEXT_DETECTION, DOCUMENT_TEXT_DETECTION, or CROP_HINTS.
retry	`int` Number of retries to do before giving up.
timeout	`int` Number of seconds before timing out.

Returns

Type	Description
AnnotateImageResponse	The API response.

from_service_account_file

from_service_account_file(filename, *args, **kwargs)

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

Parameter

Name	Description
filename	`str` The path to the service account private key json file.

Returns

Type	Description
ImageAnnotatorClient	The constructed client.

from_service_account_json

from_service_account_json(filename, *args, **kwargs)

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

Parameter

Name	Description
filename	`str` The path to the service account private key json file.

Returns

Type	Description
ImageAnnotatorClient	The constructed client.

image_properties

image_properties(image, max_results=None, retry=None, timeout=None, **kwargs)

Return image properties information.

Parameters

Name	Description
kwargs	`dict` Additional properties to be set on the AnnotateImageRequest.
image	`Image` The image to analyze.
max_results	`int` Number of results to return, does not apply for TEXT_DETECTION, DOCUMENT_TEXT_DETECTION, or CROP_HINTS.
retry	`int` Number of retries to do before giving up.
timeout	`int` Number of seconds before timing out.

Returns

Type	Description
AnnotateImageResponse	The API response.

label_detection

label_detection(image, max_results=None, retry=None, timeout=None, **kwargs)

Perform label detection.

Parameters

Name	Description
kwargs	`dict` Additional properties to be set on the AnnotateImageRequest.
image	`Image` The image to analyze.
max_results	`int` Number of results to return, does not apply for TEXT_DETECTION, DOCUMENT_TEXT_DETECTION, or CROP_HINTS.
retry	`int` Number of retries to do before giving up.
timeout	`int` Number of seconds before timing out.

Returns

Type	Description
AnnotateImageResponse	The API response.

landmark_detection

landmark_detection(image, max_results=None, retry=None, timeout=None, **kwargs)

Perform landmark detection.

Parameters

Name	Description
kwargs	`dict` Additional properties to be set on the AnnotateImageRequest.
image	`Image` The image to analyze.
max_results	`int` Number of results to return, does not apply for TEXT_DETECTION, DOCUMENT_TEXT_DETECTION, or CROP_HINTS.
retry	`int` Number of retries to do before giving up.
timeout	`int` Number of seconds before timing out.

Returns

Type	Description
AnnotateImageResponse	The API response.

logo_detection

logo_detection(image, max_results=None, retry=None, timeout=None, **kwargs)

Perform logo detection.

Parameters

Name	Description
kwargs	`dict` Additional properties to be set on the AnnotateImageRequest.
image	`Image` The image to analyze.
max_results	`int` Number of results to return, does not apply for TEXT_DETECTION, DOCUMENT_TEXT_DETECTION, or CROP_HINTS.
retry	`int` Number of retries to do before giving up.
timeout	`int` Number of seconds before timing out.

Returns

Type	Description
AnnotateImageResponse	The API response.

object_localization

object_localization(image, max_results=None, retry=None, timeout=None, **kwargs)

Return object localization information.

Parameters

Name	Description
kwargs	`dict` Additional properties to be set on the AnnotateImageRequest.
image	`Image` The image to analyze.
max_results	`int` Number of results to return, does not apply for TEXT_DETECTION, DOCUMENT_TEXT_DETECTION, or CROP_HINTS.
retry	`int` Number of retries to do before giving up.
timeout	`int` Number of seconds before timing out.

Returns

Type	Description
AnnotateImageResponse	The API response.

product_search

product_search(image, max_results=None, retry=None, timeout=None, **kwargs)

Return product search information.

Parameters

Name	Description
kwargs	`dict` Additional properties to be set on the AnnotateImageRequest.
image	`Image` The image to analyze.
max_results	`int` Number of results to return, does not apply for TEXT_DETECTION, DOCUMENT_TEXT_DETECTION, or CROP_HINTS.
retry	`int` Number of retries to do before giving up.
timeout	`int` Number of seconds before timing out.

Returns

Type	Description
AnnotateImageResponse	The API response.

safe_search_detection

safe_search_detection(image, max_results=None, retry=None, timeout=None, **kwargs)

Perform safe search detection.

Parameters

Name	Description
kwargs	`dict` Additional properties to be set on the AnnotateImageRequest.
image	`Image` The image to analyze.
max_results	`int` Number of results to return, does not apply for TEXT_DETECTION, DOCUMENT_TEXT_DETECTION, or CROP_HINTS.
retry	`int` Number of retries to do before giving up.
timeout	`int` Number of seconds before timing out.

Returns

Type	Description
AnnotateImageResponse	The API response.

text_detection

text_detection(image, max_results=None, retry=None, timeout=None, **kwargs)

Perform text detection.

Parameters

Name	Description
kwargs	`dict` Additional properties to be set on the AnnotateImageRequest.
image	`Image` The image to analyze.
max_results	`int` Number of results to return, does not apply for TEXT_DETECTION, DOCUMENT_TEXT_DETECTION, or CROP_HINTS.
retry	`int` Number of retries to do before giving up.
timeout	`int` Number of seconds before timing out.

Returns

Type	Description
AnnotateImageResponse	The API response.

web_detection

web_detection(image, max_results=None, retry=None, timeout=None, **kwargs)

Perform web detection.

Parameters

Name	Description
kwargs	`dict` Additional properties to be set on the AnnotateImageRequest.
image	`Image` The image to analyze.
max_results	`int` Number of results to return, does not apply for TEXT_DETECTION, DOCUMENT_TEXT_DETECTION, or CROP_HINTS.
retry	`int` Number of retries to do before giving up.
timeout	`int` Number of seconds before timing out.

Returns

Type	Description
AnnotateImageResponse	The API response.

Class ImageAnnotatorClient (0.38.1)

Inheritance

Methods

ImageAnnotatorClient

annotate_image

async_batch_annotate_files

TODO: Initialize `requests`:

Handle metadata.

async_batch_annotate_images

TODO: Initialize `requests`:

TODO: Initialize `output_config`:

Handle metadata.

batch_annotate_files

TODO: Initialize `requests`:

batch_annotate_images

TODO: Initialize `requests`:

crop_hints

document_text_detection

face_detection

from_service_account_file

from_service_account_json

image_properties

label_detection

landmark_detection

logo_detection

object_localization

product_search

safe_search_detection

text_detection

web_detection

Class ImageAnnotatorClient (0.38.1)

Inheritance

Methods

ImageAnnotatorClient

annotate_image

async_batch_annotate_files

TODO: Initialize requests:

Handle metadata.

async_batch_annotate_images

TODO: Initialize requests:

TODO: Initialize output_config:

Handle metadata.

batch_annotate_files

TODO: Initialize requests:

batch_annotate_images

TODO: Initialize requests:

crop_hints

document_text_detection

face_detection

from_service_account_file

from_service_account_json

image_properties

label_detection

landmark_detection

logo_detection

object_localization

product_search

safe_search_detection

text_detection

web_detection

TODO: Initialize `requests`:

TODO: Initialize `requests`:

TODO: Initialize `output_config`:

TODO: Initialize `requests`:

TODO: Initialize `requests`: