Module googleapis.vision

ballerinax/googleapis.vision Ballerina library

1.6.2

Overview

The Google Cloud Vision API v1 connector(https://cloud.google.com/vision/docs/reference/rest) OpenAPI specification. The Google Cloud Vision API provides an interface for integrates Google Vision features, including image labeling, face, logo, and landmark detection, optical character recognition (OCR), and detection of explicit content, into applications.

Key Features

Programmatic access to create and manage resources via REST API
Manage user accounts and profiles
Secure authentication with API key or OAuth support

Prerequisites

Before using this connector in your Ballerina application, complete the following:

Create a Google account
Obtain tokens - Follow this link

Quickstart

To use the Google Cloud Vision connector in your Ballerina application, update the .bal file as follows:

Step 1: Import connector

First, import the ballerinax/googleapis.vision module into the Ballerina project.


import ballerinax/googleapis.vision;

Step 2: Create a new connector instance

Create a vision:ClientConfig with the OAuth2 tokens obtained, and initialize the connector with it.


vision:ClientConfig clientConfig = {
    auth: {
        clientId: <CLIENT_ID>,
        clientSecret: <CLIENT_SECRET>,
        refreshUrl: <REFRESH_URL>,
        refreshToken: <REFRESH_TOKEN>
    }
};
vision:Client baseClient = check new Client(clientConfig);

Step 3: Invoke connector operation

Now you can use the operations available within the connector. Note that they are in the form of remote operations.

Following is an example on how to run image dection


public function main() {
    vision:BatchAnnotateImagesRequest request = {
        requests: [
            {
                features: [
                    {
                        'type: "WEB_DETECTION"
                    }
                ],
                image: {
                    'source: {
                        imageUri: "https://thumbs.dreamstime.com/b/golden-retriever-dog-21668976.jpg"
                    }
                }
            }
        ]
    };
    vision:BatchAnnotateImagesResponse|error response = baseClient->runImageDetectionAndAnnotation(request);
    if (response is vision:BatchAnnotateImagesResponse) {
        log:printInfo(response.toString());
    } else {
        log:printError(response.message());
    }
}

Use bal run command to compile and run the Ballerina program.

Clients

googleapis.vision: Client

Isolated

This is a generated connector for Google Cloud Vision API v1 OpenAPI specification. Integrates Google Vision features, including image labeling, face, logo, and landmark detection, optical character recognition (OCR), and detection of explicit content, into applications.

Constructor

Gets invoked to initialize the connector. The connector initialization requires setting the API credentials. Create a Google account and obtain tokens by following this guide.

init (ConnectionConfig config, string serviceUrl)

config ConnectionConfig - The configurations to be used when initializing the connector

serviceUrl string "https://vision.googleapis.com/" - URL of the target service

annotateFiles

Isolated FunctionRemote Function

function annotateFiles(BatchAnnotateFilesRequest payload, string? xgafv, string? alt, string? callback, string? fields, string? quotaUser, string? uploadProtocol, string? uploadType) returns BatchAnnotateFilesResponse|error

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.

Parameters

payload BatchAnnotateFilesRequest -

xgafv string? (default ()) - V1 error format.

alt string? (default ()) - Data format for response.

callback string? (default ()) - JSONP

fields string? (default ()) - Selector specifying which fields to include in a partial response.

quotaUser string? (default ()) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.

uploadProtocol string? (default ()) - Upload protocol for media (e.g. "raw", "multipart").

uploadType string? (default ()) - Legacy upload protocol for media (e.g. "media", "multipart").

Return Type

BatchAnnotateFilesResponse|error - Successful response

asyncBatchAnnotate

Isolated FunctionRemote Function

function asyncBatchAnnotate(AsyncBatchAnnotateFilesRequest payload, string? xgafv, string? alt, string? callback, string? fields, string? quotaUser, string? uploadProtocol, string? uploadType) returns Operation|error

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).

Parameters

payload AsyncBatchAnnotateFilesRequest -

xgafv string? (default ()) - V1 error format.

alt string? (default ()) - Data format for response.

callback string? (default ()) - JSONP

fields string? (default ()) - Selector specifying which fields to include in a partial response.

quotaUser string? (default ()) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.

uploadProtocol string? (default ()) - Upload protocol for media (e.g. "raw", "multipart").

uploadType string? (default ()) - Legacy upload protocol for media (e.g. "media", "multipart").

Return Type

Operation|error - Successful response

runImageDetectionAndAnnotation

Isolated FunctionRemote Function

function runImageDetectionAndAnnotation(BatchAnnotateImagesRequest payload, string? xgafv, string? alt, string? callback, string? fields, string? quotaUser, string? uploadProtocol, string? uploadType) returns BatchAnnotateImagesResponse|error

Run image detection and annotation for a batch of images.

Parameters

payload BatchAnnotateImagesRequest -

xgafv string? (default ()) - V1 error format.

alt string? (default ()) - Data format for response.

callback string? (default ()) - JSONP

fields string? (default ()) - Selector specifying which fields to include in a partial response.

quotaUser string? (default ()) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.

uploadProtocol string? (default ()) - Upload protocol for media (e.g. "raw", "multipart").

uploadType string? (default ()) - Legacy upload protocol for media (e.g. "media", "multipart").

Return Type

BatchAnnotateImagesResponse|error - Successful response

asyncBatchImageAnnotate

Isolated FunctionRemote Function

function asyncBatchImageAnnotate(AsyncBatchAnnotateImagesRequest payload, string? xgafv, string? alt, string? callback, string? fields, string? quotaUser, string? uploadProtocol, string? uploadType) returns Operation|error

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.

Parameters

payload AsyncBatchAnnotateImagesRequest -

xgafv string? (default ()) - V1 error format.

alt string? (default ()) - Data format for response.

callback string? (default ()) - JSONP

fields string? (default ()) - Selector specifying which fields to include in a partial response.

quotaUser string? (default ()) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.

uploadProtocol string? (default ()) - Upload protocol for media (e.g. "raw", "multipart").

uploadType string? (default ()) - Legacy upload protocol for media (e.g. "media", "multipart").

Return Type

Operation|error - Successful response

getProjectOperation

Isolated FunctionRemote Function

function getProjectOperation(string name, string? xgafv, string? alt, string? callback, string? fields, string? quotaUser, string? uploadProtocol, string? uploadType, string? filter, int? pageSize, string? pageToken) returns Operation|error

Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.

Parameters

name string - The name of the operation resource.

xgafv string? (default ()) - V1 error format.

alt string? (default ()) - Data format for response.

callback string? (default ()) - JSONP

fields string? (default ()) - Selector specifying which fields to include in a partial response.

quotaUser string? (default ()) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.

uploadProtocol string? (default ()) - Upload protocol for media (e.g. "raw", "multipart").

uploadType string? (default ()) - Legacy upload protocol for media (e.g. "media", "multipart").

filter string? (default ()) - The standard list filter.

pageSize int? (default ()) - The standard list page size.

pageToken string? (default ()) - The standard list page token.

Return Type

Operation|error - Successful response

deleteProductSet

Isolated FunctionRemote Function

function deleteProductSet(string name, string? xgafv, string? alt, string? callback, string? fields, string? quotaUser, string? uploadProtocol, string? uploadType) returns Empty|error

Permanently deletes a ProductSet. Products and ReferenceImages in the ProductSet are not deleted. The actual image files are not deleted from Google Cloud Storage.

Parameters

name string - Required. Resource name of the ProductSet to delete. Format is: projects/PROJECT_ID/locations/LOC_ID/productSets/PRODUCT_SET_ID

xgafv string? (default ()) - V1 error format.

alt string? (default ()) - Data format for response.

callback string? (default ()) - JSONP

fields string? (default ()) - Selector specifying which fields to include in a partial response.

quotaUser string? (default ()) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.

uploadProtocol string? (default ()) - Upload protocol for media (e.g. "raw", "multipart").

uploadType string? (default ()) - Legacy upload protocol for media (e.g. "media", "multipart").

Return Type

Empty|error - Successful response

pathProductSet

Isolated FunctionRemote Function

function pathProductSet(string name, ProductSet payload, string? xgafv, string? alt, string? callback, string? fields, string? quotaUser, string? uploadProtocol, string? uploadType, string? updateMask) returns ProductSet|error

Makes changes to a ProductSet resource. Only display_name can be updated currently. Possible errors: * Returns NOT_FOUND if the ProductSet does not exist. * Returns INVALID_ARGUMENT if display_name is present in update_mask but missing from the request or longer than 4096 characters.

Parameters

name string - The resource name of the ProductSet. Format is: projects/PROJECT_ID/locations/LOC_ID/productSets/PRODUCT_SET_ID. This field is ignored when creating a ProductSet.

payload ProductSet -

xgafv string? (default ()) - V1 error format.

alt string? (default ()) - Data format for response.

callback string? (default ()) - JSONP

fields string? (default ()) - Selector specifying which fields to include in a partial response.

quotaUser string? (default ()) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.

uploadProtocol string? (default ()) - Upload protocol for media (e.g. "raw", "multipart").

uploadType string? (default ()) - Legacy upload protocol for media (e.g. "media", "multipart").

updateMask string? (default ()) - The FieldMask that specifies which fields to update. If update_mask isn't specified, all mutable fields are to be updated. Valid mask path is display_name.

Return Type

ProductSet|error - Successful response

listProducts

Isolated FunctionRemote Function

function listProducts(string name, string? xgafv, string? alt, string? callback, string? fields, string? quotaUser, string? uploadProtocol, string? uploadType, int? pageSize, string? pageToken) returns ListProductsInProductSetResponse|error

Lists the Products in a ProductSet, in an unspecified order. If the ProductSet does not exist, the products field of the response will be empty. Possible errors: * Returns INVALID_ARGUMENT if page_size is greater than 100 or less than 1.

Parameters

name string - Required. The ProductSet resource for which to retrieve Products. Format is: projects/PROJECT_ID/locations/LOC_ID/productSets/PRODUCT_SET_ID

xgafv string? (default ()) - V1 error format.

alt string? (default ()) - Data format for response.

callback string? (default ()) - JSONP

fields string? (default ()) - Selector specifying which fields to include in a partial response.

quotaUser string? (default ()) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.

uploadProtocol string? (default ()) - Upload protocol for media (e.g. "raw", "multipart").

uploadType string? (default ()) - Legacy upload protocol for media (e.g. "media", "multipart").

pageSize int? (default ()) - The maximum number of items to return. Default 10, maximum 100.

pageToken string? (default ()) - The next_page_token returned from a previous List request, if any.

Return Type

ListProductsInProductSetResponse|error - Successful response

addProduct

Isolated FunctionRemote Function

function addProduct(string name, AddProductToProductSetRequest payload, string? xgafv, string? alt, string? callback, string? fields, string? quotaUser, string? uploadProtocol, string? uploadType) returns Empty|error

Adds a Product to the specified ProductSet. If the Product is already present, no change is made. One Product can be added to at most 100 ProductSets. Possible errors: * Returns NOT_FOUND if the Product or the ProductSet doesn't exist.

Parameters

name string - Required. The resource name for the ProductSet to modify. Format is: projects/PROJECT_ID/locations/LOC_ID/productSets/PRODUCT_SET_ID

payload AddProductToProductSetRequest -

xgafv string? (default ()) - V1 error format.

alt string? (default ()) - Data format for response.

callback string? (default ()) - JSONP

fields string? (default ()) - Selector specifying which fields to include in a partial response.

quotaUser string? (default ()) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.

uploadProtocol string? (default ()) - Upload protocol for media (e.g. "raw", "multipart").

uploadType string? (default ()) - Legacy upload protocol for media (e.g. "media", "multipart").

Return Type

Empty|error - Successful response

cancelAsyncOperation

Isolated FunctionRemote Function

function cancelAsyncOperation(string name, CancelOperationRequest payload, string? xgafv, string? alt, string? callback, string? fields, string? quotaUser, string? uploadProtocol, string? uploadType) returns Empty|error

Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of 1, corresponding to Code.CANCELLED.

Parameters

name string - The name of the operation resource to be cancelled.

payload CancelOperationRequest -

xgafv string? (default ()) - V1 error format.

alt string? (default ()) - Data format for response.

callback string? (default ()) - JSONP

fields string? (default ()) - Selector specifying which fields to include in a partial response.

quotaUser string? (default ()) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.

uploadProtocol string? (default ()) - Upload protocol for media (e.g. "raw", "multipart").

uploadType string? (default ()) - Legacy upload protocol for media (e.g. "media", "multipart").

Return Type

Empty|error - Successful response

removeProduct

Isolated FunctionRemote Function

function removeProduct(string name, RemoveProductFromProductSetRequest payload, string? xgafv, string? alt, string? callback, string? fields, string? quotaUser, string? uploadProtocol, string? uploadType) returns Empty|error

Removes a Product from the specified ProductSet.

Parameters

name string - Required. The resource name for the ProductSet to modify. Format is: projects/PROJECT_ID/locations/LOC_ID/productSets/PRODUCT_SET_ID

payload RemoveProductFromProductSetRequest -

xgafv string? (default ()) - V1 error format.

alt string? (default ()) - Data format for response.

callback string? (default ()) - JSONP

fields string? (default ()) - Selector specifying which fields to include in a partial response.

quotaUser string? (default ()) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.

uploadProtocol string? (default ()) - Upload protocol for media (e.g. "raw", "multipart").

uploadType string? (default ()) - Legacy upload protocol for media (e.g. "media", "multipart").

Return Type

Empty|error - Successful response

annotateBatchFiles

Isolated FunctionRemote Function

function annotateBatchFiles(string parent, BatchAnnotateFilesRequest payload, string? xgafv, string? alt, string? callback, string? fields, string? quotaUser, string? uploadProtocol, string? uploadType) returns BatchAnnotateFilesResponse|error

Parameters

parent string - Optional. Target project and location to make a call. Format: projects/{project-id}/locations/{location-id}. If no parent is specified, a region will be chosen automatically. Supported location-ids: us: USA country only, asia: East asia areas, like Japan, Taiwan, eu: The European Union. Example: projects/project-A/locations/eu.

payload BatchAnnotateFilesRequest -

xgafv string? (default ()) - V1 error format.

alt string? (default ()) - Data format for response.

callback string? (default ()) - JSONP

fields string? (default ()) - Selector specifying which fields to include in a partial response.

quotaUser string? (default ()) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.

uploadProtocol string? (default ()) - Upload protocol for media (e.g. "raw", "multipart").

uploadType string? (default ()) - Legacy upload protocol for media (e.g. "media", "multipart").

Return Type

BatchAnnotateFilesResponse|error - Successful response

asyncFileBatchAnnotate

Isolated FunctionRemote Function

function asyncFileBatchAnnotate(string parent, AsyncBatchAnnotateFilesRequest payload, string? xgafv, string? alt, string? callback, string? fields, string? quotaUser, string? uploadProtocol, string? uploadType) returns Operation|error

Parameters

parent string - Optional. Target project and location to make a call. Format: projects/{project-id}/locations/{location-id}. If no parent is specified, a region will be chosen automatically. Supported location-ids: us: USA country only, asia: East asia areas, like Japan, Taiwan, eu: The European Union. Example: projects/project-A/locations/eu.

payload AsyncBatchAnnotateFilesRequest -

xgafv string? (default ()) - V1 error format.

alt string? (default ()) - Data format for response.

callback string? (default ()) - JSONP

fields string? (default ()) - Selector specifying which fields to include in a partial response.

quotaUser string? (default ()) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.

uploadProtocol string? (default ()) - Upload protocol for media (e.g. "raw", "multipart").

uploadType string? (default ()) - Legacy upload protocol for media (e.g. "media", "multipart").

Return Type

Operation|error - Successful response

annotateBatchImages

Isolated FunctionRemote Function

function annotateBatchImages(string parent, BatchAnnotateImagesRequest payload, string? xgafv, string? alt, string? callback, string? fields, string? quotaUser, string? uploadProtocol, string? uploadType) returns BatchAnnotateImagesResponse|error

Run image detection and annotation for a batch of images.

Parameters

parent string - Optional. Target project and location to make a call. Format: projects/{project-id}/locations/{location-id}. If no parent is specified, a region will be chosen automatically. Supported location-ids: us: USA country only, asia: East asia areas, like Japan, Taiwan, eu: The European Union. Example: projects/project-A/locations/eu.

payload BatchAnnotateImagesRequest -

xgafv string? (default ()) - V1 error format.

alt string? (default ()) - Data format for response.

callback string? (default ()) - JSONP

fields string? (default ()) - Selector specifying which fields to include in a partial response.

quotaUser string? (default ()) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.

uploadProtocol string? (default ()) - Upload protocol for media (e.g. "raw", "multipart").

uploadType string? (default ()) - Legacy upload protocol for media (e.g. "media", "multipart").

Return Type

BatchAnnotateImagesResponse|error - Successful response

asyncImageBatchAnnotate

Isolated FunctionRemote Function

function asyncImageBatchAnnotate(string parent, AsyncBatchAnnotateImagesRequest payload, string? xgafv, string? alt, string? callback, string? fields, string? quotaUser, string? uploadProtocol, string? uploadType) returns Operation|error

Parameters

parent string - Optional. Target project and location to make a call. Format: projects/{project-id}/locations/{location-id}. If no parent is specified, a region will be chosen automatically. Supported location-ids: us: USA country only, asia: East asia areas, like Japan, Taiwan, eu: The European Union. Example: projects/project-A/locations/eu.

payload AsyncBatchAnnotateImagesRequest -

xgafv string? (default ()) - V1 error format.

alt string? (default ()) - Data format for response.

callback string? (default ()) - JSONP

fields string? (default ()) - Selector specifying which fields to include in a partial response.

quotaUser string? (default ()) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.

uploadProtocol string? (default ()) - Upload protocol for media (e.g. "raw", "multipart").

uploadType string? (default ()) - Legacy upload protocol for media (e.g. "media", "multipart").

Return Type

Operation|error - Successful response

listProductSetsInUnspecifiedOrder

Isolated FunctionRemote Function

function listProductSetsInUnspecifiedOrder(string parent, string? xgafv, string? alt, string? callback, string? fields, string? quotaUser, string? uploadProtocol, string? uploadType, int? pageSize, string? pageToken) returns ListProductSetsResponse|error

Lists ProductSets in an unspecified order. Possible errors: * Returns INVALID_ARGUMENT if page_size is greater than 100, or less than 1.

Parameters

parent string - Required. The project from which ProductSets should be listed. Format is projects/PROJECT_ID/locations/LOC_ID.

xgafv string? (default ()) - V1 error format.

alt string? (default ()) - Data format for response.

callback string? (default ()) - JSONP

fields string? (default ()) - Selector specifying which fields to include in a partial response.

quotaUser string? (default ()) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.

uploadProtocol string? (default ()) - Upload protocol for media (e.g. "raw", "multipart").

uploadType string? (default ()) - Legacy upload protocol for media (e.g. "media", "multipart").

pageSize int? (default ()) - The maximum number of items to return. Default 10, maximum 100.

pageToken string? (default ()) - The next_page_token returned from a previous List request, if any.

Return Type

ListProductSetsResponse|error - Successful response

createProductSet

Isolated FunctionRemote Function

function createProductSet(string parent, ProductSet payload, string? xgafv, string? alt, string? callback, string? fields, string? quotaUser, string? uploadProtocol, string? uploadType, string? productSetId) returns ProductSet|error

Creates and returns a new ProductSet resource. Possible errors: * Returns INVALID_ARGUMENT if display_name is missing, or is longer than 4096 characters.

Parameters

parent string - Required. The project in which the ProductSet should be created. Format is projects/PROJECT_ID/locations/LOC_ID.

payload ProductSet -

xgafv string? (default ()) - V1 error format.

alt string? (default ()) - Data format for response.

callback string? (default ()) - JSONP

fields string? (default ()) - Selector specifying which fields to include in a partial response.

quotaUser string? (default ()) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.

uploadProtocol string? (default ()) - Upload protocol for media (e.g. "raw", "multipart").

uploadType string? (default ()) - Legacy upload protocol for media (e.g. "media", "multipart").

productSetId string? (default ()) - A user-supplied resource id for this ProductSet. If set, the server will attempt to use this value as the resource id. If it is already in use, an error is returned with code ALREADY_EXISTS. Must be at most 128 characters long. It cannot contain the character /.

Return Type

ProductSet|error - Successful response

importReferenceImages

Isolated FunctionRemote Function

function importReferenceImages(string parent, ImportProductSetsRequest payload, string? xgafv, string? alt, string? callback, string? fields, string? quotaUser, string? uploadProtocol, string? uploadType) returns Operation|error

Asynchronous API that imports a list of reference images to specified product sets based on a list of image information. The google.longrunning.Operation API can be used to keep track of the progress and results of the request. Operation.metadata contains BatchOperationMetadata. (progress) Operation.response contains ImportProductSetsResponse. (results) The input source of this method is a csv file on Google Cloud Storage. For the format of the csv file please see ImportProductSetsGcsSource.csv_file_uri.

Parameters

parent string - Required. The project in which the ProductSets should be imported. Format is projects/PROJECT_ID/locations/LOC_ID.

payload ImportProductSetsRequest -

xgafv string? (default ()) - V1 error format.

alt string? (default ()) - Data format for response.

callback string? (default ()) - JSONP

fields string? (default ()) - Selector specifying which fields to include in a partial response.

quotaUser string? (default ()) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.

uploadProtocol string? (default ()) - Upload protocol for media (e.g. "raw", "multipart").

uploadType string? (default ()) - Legacy upload protocol for media (e.g. "media", "multipart").

Return Type

Operation|error - Successful response

listProductvision

Isolated FunctionRemote Function

function listProductvision(string parent, string? xgafv, string? alt, string? callback, string? fields, string? quotaUser, string? uploadProtocol, string? uploadType, int? pageSize, string? pageToken) returns ListProductsResponse|error

Lists products in an unspecified order. Possible errors: * Returns INVALID_ARGUMENT if page_size is greater than 100 or less than 1.

Parameters

parent string - Required. The project OR ProductSet from which Products should be listed. Format: projects/PROJECT_ID/locations/LOC_ID

xgafv string? (default ()) - V1 error format.

alt string? (default ()) - Data format for response.

callback string? (default ()) - JSONP

fields string? (default ()) - Selector specifying which fields to include in a partial response.

quotaUser string? (default ()) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.

uploadProtocol string? (default ()) - Upload protocol for media (e.g. "raw", "multipart").

uploadType string? (default ()) - Legacy upload protocol for media (e.g. "media", "multipart").

pageSize int? (default ()) - The maximum number of items to return. Default 10, maximum 100.

pageToken string? (default ()) - The next_page_token returned from a previous List request, if any.

Return Type

ListProductsResponse|error - Successful response

createProductResource

Isolated FunctionRemote Function

function createProductResource(string parent, Product payload, string? xgafv, string? alt, string? callback, string? fields, string? quotaUser, string? uploadProtocol, string? uploadType, string? productId) returns Product|error

Creates and returns a new product resource. Possible errors: * Returns INVALID_ARGUMENT if display_name is missing or longer than 4096 characters. * Returns INVALID_ARGUMENT if description is longer than 4096 characters. * Returns INVALID_ARGUMENT if product_category is missing or invalid.

Parameters

parent string - Required. The project in which the Product should be created. Format is projects/PROJECT_ID/locations/LOC_ID.

payload Product -

xgafv string? (default ()) - V1 error format.

alt string? (default ()) - Data format for response.

callback string? (default ()) - JSONP

fields string? (default ()) - Selector specifying which fields to include in a partial response.

quotaUser string? (default ()) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.

uploadProtocol string? (default ()) - Upload protocol for media (e.g. "raw", "multipart").

uploadType string? (default ()) - Legacy upload protocol for media (e.g. "media", "multipart").

productId string? (default ()) - A user-supplied resource id for this Product. If set, the server will attempt to use this value as the resource id. If it is already in use, an error is returned with code ALREADY_EXISTS. Must be at most 128 characters long. It cannot contain the character /.

Return Type

Product|error - Successful response

deleteAllProducts

Isolated FunctionRemote Function

function deleteAllProducts(string parent, PurgeProductsRequest payload, string? xgafv, string? alt, string? callback, string? fields, string? quotaUser, string? uploadProtocol, string? uploadType) returns Operation|error

Asynchronous API to delete all Products in a ProductSet or all Products that are in no ProductSet. If a Product is a member of the specified ProductSet in addition to other ProductSets, the Product will still be deleted. It is recommended to not delete the specified ProductSet until after this operation has completed. It is also recommended to not add any of the Products involved in the batch delete to a new ProductSet while this operation is running because those Products may still end up deleted. It's not possible to undo the PurgeProducts operation. Therefore, it is recommended to keep the csv files used in ImportProductSets (if that was how you originally built the Product Set) before starting PurgeProducts, in case you need to re-import the data after deletion. If the plan is to purge all of the Products from a ProductSet and then re-use the empty ProductSet to re-import new Products into the empty ProductSet, you must wait until the PurgeProducts operation has finished for that ProductSet. The google.longrunning.Operation API can be used to keep track of the progress and results of the request. Operation.metadata contains BatchOperationMetadata. (progress)

Parameters

parent string - Required. The project and location in which the Products should be deleted. Format is projects/PROJECT_ID/locations/LOC_ID.

payload PurgeProductsRequest -

xgafv string? (default ()) - V1 error format.

alt string? (default ()) - Data format for response.

callback string? (default ()) - JSONP

fields string? (default ()) - Selector specifying which fields to include in a partial response.

quotaUser string? (default ()) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.

uploadProtocol string? (default ()) - Upload protocol for media (e.g. "raw", "multipart").

uploadType string? (default ()) - Legacy upload protocol for media (e.g. "media", "multipart").

Return Type

Operation|error - Successful response

listReferenceImages

Isolated FunctionRemote Function

function listReferenceImages(string parent, string? xgafv, string? alt, string? callback, string? fields, string? quotaUser, string? uploadProtocol, string? uploadType, int? pageSize, string? pageToken) returns ListReferenceImagesResponse|error

Lists reference images. Possible errors: * Returns NOT_FOUND if the parent product does not exist. * Returns INVALID_ARGUMENT if the page_size is greater than 100, or less than 1.

Parameters

parent string - Required. Resource name of the product containing the reference images. Format is projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID.

xgafv string? (default ()) - V1 error format.

alt string? (default ()) - Data format for response.

callback string? (default ()) - JSONP

fields string? (default ()) - Selector specifying which fields to include in a partial response.

quotaUser string? (default ()) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.

uploadProtocol string? (default ()) - Upload protocol for media (e.g. "raw", "multipart").

uploadType string? (default ()) - Legacy upload protocol for media (e.g. "media", "multipart").

pageSize int? (default ()) - The maximum number of items to return. Default 10, maximum 100.

pageToken string? (default ()) - A token identifying a page of results to be returned. This is the value of nextPageToken returned in a previous reference image list request. Defaults to the first page if not specified.

Return Type

ListReferenceImagesResponse|error - Successful response

createReferenceImages

Isolated FunctionRemote Function

function createReferenceImages(string parent, ReferenceImage payload, string? xgafv, string? alt, string? callback, string? fields, string? quotaUser, string? uploadProtocol, string? uploadType, string? referenceImageId) returns ReferenceImage|error

Creates and returns a new ReferenceImage resource. The bounding_poly field is optional. If bounding_poly is not specified, the system will try to detect regions of interest in the image that are compatible with the product_category on the parent product. If it is specified, detection is ALWAYS skipped. The system converts polygons into non-rotated rectangles. Note that the pipeline will resize the image if the image resolution is too large to process (above 50MP). Possible errors: * Returns INVALID_ARGUMENT if the image_uri is missing or longer than 4096 characters. * Returns INVALID_ARGUMENT if the product does not exist. * Returns INVALID_ARGUMENT if bounding_poly is not provided, and nothing compatible with the parent product's product_category is detected. * Returns INVALID_ARGUMENT if bounding_poly contains more than 10 polygons.

Parameters

parent string - Required. Resource name of the product in which to create the reference image. Format is projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID.

payload ReferenceImage -

xgafv string? (default ()) - V1 error format.

alt string? (default ()) - Data format for response.

callback string? (default ()) - JSONP

fields string? (default ()) - Selector specifying which fields to include in a partial response.

quotaUser string? (default ()) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.

uploadProtocol string? (default ()) - Upload protocol for media (e.g. "raw", "multipart").

uploadType string? (default ()) - Legacy upload protocol for media (e.g. "media", "multipart").

referenceImageId string? (default ()) - A user-supplied resource id for the ReferenceImage to be added. If set, the server will attempt to use this value as the resource id. If it is already in use, an error is returned with code ALREADY_EXISTS. Must be at most 128 characters long. It cannot contain the character /.

Return Type

ReferenceImage|error - Successful response

Records

googleapis.vision: AddProductToProductSetRequest

Request message for the AddProductToProductSet method.

Fields

product? string - Required. The resource name for the Product to be added to this ProductSet. Format is: projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID

googleapis.vision: AnnotateFileRequest

A request to annotate one single file, e.g. a PDF, TIFF or GIF file.

Fields

features? Feature[] - Required. Requested features.

imageContext? ImageContext - Image context and/or feature-specific parameters.

inputConfig? InputConfig - The desired input location and metadata.

pages? int[] - Pages of the file to perform image annotation. Pages starts from 1, we assume the first page of the file is page 1. At most 5 pages are supported per request. Pages can be negative. Page 1 means the first page. Page 2 means the second page. Page -1 means the last page. Page -2 means the second to the last page. If the file is GIF instead of PDF or TIFF, page refers to GIF frames. If this field is empty, by default the service performs image annotation for the first 5 pages of the file.

googleapis.vision: AnnotateFileResponse

Response to a single file annotation request. A file may contain one or more images, which individually have their own responses.

Fields

'error? Status - The Status type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by gRPC. Each Status message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the API Design Guide.

inputConfig? InputConfig - The desired input location and metadata.

responses? AnnotateImageResponse[] - Individual responses to images found within the file. This field will be empty if the error field is set.

totalPages? int - This field gives the total number of pages in the file.

googleapis.vision: AnnotateImageRequest

Request for performing Google Cloud Vision API tasks over a user-provided image, with user-requested features, and with context information.

Fields

features? Feature[] - Requested features.

image? Image - Client image to perform Google Cloud Vision API tasks over.

imageContext? ImageContext - Image context and/or feature-specific parameters.

googleapis.vision: AnnotateImageResponse

Response to an image annotation request.

Fields

context? ImageAnnotationContext - If an image was produced from a file (e.g. a PDF), this message gives information about the source of that image.

cropHintsAnnotation? CropHintsAnnotation - Set of crop hints that are used to generate new crops when serving images.

'error? Status - The Status type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by gRPC. Each Status message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the API Design Guide.

faceAnnotations? FaceAnnotation[] - If present, face detection has completed successfully.

fullTextAnnotation? TextAnnotation - TextAnnotation contains a structured representation of OCR extracted text. The hierarchy of an OCR extracted text structure is like this: TextAnnotation -> Page -> Block -> Paragraph -> Word -> Symbol Each structural component, starting from Page, may further have their own properties. Properties describe detected languages, breaks etc.. Please refer to the TextAnnotation.TextProperty message definition below for more detail.

imagePropertiesAnnotation? ImageProperties - Stores image properties, such as dominant colors.

labelAnnotations? EntityAnnotation[] - If present, label detection has completed successfully.

landmarkAnnotations? EntityAnnotation[] - If present, landmark detection has completed successfully.

localizedObjectAnnotations? LocalizedObjectAnnotation[] - If present, localized object detection has completed successfully. This will be sorted descending by confidence score.

logoAnnotations? EntityAnnotation[] - If present, logo detection has completed successfully.

productSearchResults? ProductSearchResults - Results for a product search request.

safeSearchAnnotation? SafeSearchAnnotation - Set of features pertaining to the image, computed by computer vision methods over safe-search verticals (for example, adult, spoof, medical, violence).

textAnnotations? EntityAnnotation[] - If present, text (OCR) detection has completed successfully.

webDetection? WebDetection - Relevant information for the image from the Internet.

googleapis.vision: AsyncAnnotateFileRequest

An offline file annotation request.

Fields

features? Feature[] - Required. Requested features.

imageContext? ImageContext - Image context and/or feature-specific parameters.

inputConfig? InputConfig - The desired input location and metadata.

outputConfig? OutputConfig - The desired output location and metadata.

googleapis.vision: AsyncAnnotateFileResponse

The response for a single offline file annotation request.

Fields

outputConfig? OutputConfig - The desired output location and metadata.

googleapis.vision: AsyncBatchAnnotateFilesRequest

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

Fields

parent? string - Optional. Target project and location to make a call. Format: projects/{project-id}/locations/{location-id}. If no parent is specified, a region will be chosen automatically. Supported location-ids: us: USA country only, asia: East asia areas, like Japan, Taiwan, eu: The European Union. Example: projects/project-A/locations/eu.

requests? AsyncAnnotateFileRequest[] - Required. Individual async file annotation requests for this batch.

googleapis.vision: AsyncBatchAnnotateFilesResponse

Response to an async batch file annotation request.

Fields

responses? AsyncAnnotateFileResponse[] - The list of file annotation responses, one for each request in AsyncBatchAnnotateFilesRequest.

googleapis.vision: AsyncBatchAnnotateImagesRequest

Request for async image annotation for a list of images.

Fields

outputConfig? OutputConfig - The desired output location and metadata.

parent? string - Optional. Target project and location to make a call. Format: projects/{project-id}/locations/{location-id}. If no parent is specified, a region will be chosen automatically. Supported location-ids: us: USA country only, asia: East asia areas, like Japan, Taiwan, eu: The European Union. Example: projects/project-A/locations/eu.

requests? AnnotateImageRequest[] - Required. Individual image annotation requests for this batch.

googleapis.vision: AsyncBatchAnnotateImagesResponse

Response to an async batch image annotation request.

Fields

outputConfig? OutputConfig - The desired output location and metadata.

googleapis.vision: BatchAnnotateFilesRequest

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

Fields

parent? string - Optional. Target project and location to make a call. Format: projects/{project-id}/locations/{location-id}. If no parent is specified, a region will be chosen automatically. Supported location-ids: us: USA country only, asia: East asia areas, like Japan, Taiwan, eu: The European Union. Example: projects/project-A/locations/eu.

requests? AnnotateFileRequest[] - Required. The list of file annotation requests. Right now we support only one AnnotateFileRequest in BatchAnnotateFilesRequest.

googleapis.vision: BatchAnnotateFilesResponse

A list of file annotation responses.

Fields

responses? AnnotateFileResponse[] - The list of file annotation responses, each response corresponding to each AnnotateFileRequest in BatchAnnotateFilesRequest.

googleapis.vision: BatchAnnotateImagesRequest

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

Fields

parent? string - Optional. Target project and location to make a call. Format: projects/{project-id}/locations/{location-id}. If no parent is specified, a region will be chosen automatically. Supported location-ids: us: USA country only, asia: East asia areas, like Japan, Taiwan, eu: The European Union. Example: projects/project-A/locations/eu.

requests? AnnotateImageRequest[] - Required. Individual image annotation requests for this batch.

googleapis.vision: BatchAnnotateImagesResponse

Response to a batch image annotation request.

Fields

responses? AnnotateImageResponse[] - Individual responses to image annotation requests within the batch.

googleapis.vision: BatchOperationMetadata

Metadata for the batch operations such as the current state. This is included in the metadata field of the Operation returned by the GetOperation call of the google::longrunning::Operations service.

Fields

endTime? string - The time when the batch request is finished and google.longrunning.Operation.done is set to true.

state? string - The current state of the batch operation.

submitTime? string - The time when the batch request was submitted to the server.

googleapis.vision: Block

Logical element on the page.

Fields

blockType? string - Detected block type (text, image etc) for this block.

boundingBox? BoundingPoly - A bounding polygon for the detected image annotation.

confidence? float - Confidence of the OCR results on the block. Range [0, 1].

paragraphs? Paragraph[] - List of paragraphs in this block (if this blocks is of type text).

property? TextProperty - Additional information detected on the structural component.

googleapis.vision: BoundingPoly

A bounding polygon for the detected image annotation.

Fields

normalizedVertices? NormalizedVertex[] - The bounding polygon normalized vertices.

vertices? Vertex[] - The bounding polygon vertices.

googleapis.vision: CancelOperationRequest

The request message for Operations.CancelOperation.

googleapis.vision: ClientHttp1Settings

Closed record

Provides settings related to HTTP/1.x protocol.

Fields

keepAlive KeepAlive(default http:KEEPALIVE_AUTO) - Specifies whether to reuse a connection for multiple requests

chunking Chunking(default http:CHUNKING_AUTO) - The chunking behaviour of the request

proxy? ProxyConfig - Proxy server related options

googleapis.vision: Color

Represents a color in the RGBA color space. This representation is designed for simplicity of conversion to/from color representations in various languages over compactness. For example, the fields of this representation can be trivially provided to the constructor of java.awt.Color in Java; it can also be trivially provided to UIColor's +colorWithRed:green:blue:alpha method in iOS; and, with just a little work, it can be easily formatted into a CSS rgba() string in JavaScript. This reference page doesn't carry information about the absolute color space that should be used to interpret the RGB value (e.g. sRGB, Adobe RGB, DCI-P3, BT.2020, etc.). By default, applications should assume the sRGB color space. When color equality needs to be decided, implementations, unless documented otherwise, treat two colors as equal if all their red, green, blue, and alpha values each differ by at most 1e-5. Example (Java): import com.google.type.Color; // ... public static java.awt.Color fromProto(Color protocolor) { float alpha = protocolor.hasAlpha() ? protocolor.getAlpha().getValue() : 1.0; return new java.awt.Color( protocolor.getRed(), protocolor.getGreen(), protocolor.getBlue(), alpha); } public static Color toProto(java.awt.Color color) { float red = (float) color.getRed(); float green = (float) color.getGreen(); float blue = (float) color.getBlue(); float denominator = 255.0; Color.Builder resultBuilder = Color .newBuilder() .setRed(red / denominator) .setGreen(green / denominator) .setBlue(blue / denominator); int alpha = color.getAlpha(); if (alpha != 255) { result.setAlpha( FloatValue .newBuilder() .setValue(((float) alpha) / denominator) .build()); } return resultBuilder.build(); } // ... Example (iOS / Obj-C): // ... static UIColor* fromProto(Color* protocolor) { float red = [protocolor red]; float green = [protocolor green]; float blue = [protocolor blue]; FloatValue* alpha_wrapper = [protocolor alpha]; float alpha = 1.0; if (alpha_wrapper != nil) { alpha = [alpha_wrapper value]; } return [UIColor colorWithRed:red green:green blue:blue alpha:alpha]; } static Color* toProto(UIColor* color) { CGFloat red, green, blue, alpha; if (![color getRed:&red green:&green blue:&blue alpha:&alpha]) { return nil; } Color* result = [[Color alloc] init]; [result setRed:red]; [result setGreen:green]; [result setBlue:blue]; if (alpha <= 0.9999) { [result setAlpha:floatWrapperWithValue(alpha)]; } [result autorelease]; return result; } // ... Example (JavaScript): // ... var protoToCssColor = function(rgb_color) { var redFrac = rgb_color.red || 0.0; var greenFrac = rgb_color.green || 0.0; var blueFrac = rgb_color.blue || 0.0; var red = Math.floor(redFrac * 255); var green = Math.floor(greenFrac * 255); var blue = Math.floor(blueFrac * 255); if (!('alpha' in rgb_color)) { return rgbToCssColor(red, green, blue); } var alphaFrac = rgb_color.alpha.value || 0.0; var rgbParams = [red, green, blue].join(','); return ['rgba(', rgbParams, ',', alphaFrac, ')'].join(''); }; var rgbToCssColor = function(red, green, blue) { var rgbNumber = new Number((red << 16) | (green << 8) | blue); var hexString = rgbNumber.toString(16); var missingZeros = 6 - hexString.length; var resultBuilder = ['#']; for (var i = 0; i < missingZeros; i++) { resultBuilder.push('0'); } resultBuilder.push(hexString); return resultBuilder.join(''); }; // ...

Fields

alpha? float - The fraction of this color that should be applied to the pixel. That is, the final pixel color is defined by the equation: pixel color = alpha * (this color) + (1.0 - alpha) * (background color) This means that a value of 1.0 corresponds to a solid color, whereas a value of 0.0 corresponds to a completely transparent color. This uses a wrapper message rather than a simple float scalar so that it is possible to distinguish between a default value and the value being unset. If omitted, this color object is rendered as a solid color (as if the alpha value had been explicitly given a value of 1.0).

blue? float - The amount of blue in the color as a value in the interval [0, 1].

green? float - The amount of green in the color as a value in the interval [0, 1].

red? float - The amount of red in the color as a value in the interval [0, 1].

googleapis.vision: ColorInfo

Color information consists of RGB channels, score, and the fraction of the image that the color occupies in the image.

Fields

color? Color - Represents a color in the RGBA color space. This representation is designed for simplicity of conversion to/from color representations in various languages over compactness. For example, the fields of this representation can be trivially provided to the constructor of java.awt.Color in Java; it can also be trivially provided to UIColor's +colorWithRed:green:blue:alpha method in iOS; and, with just a little work, it can be easily formatted into a CSS rgba() string in JavaScript. This reference page doesn't carry information about the absolute color space that should be used to interpret the RGB value (e.g. sRGB, Adobe RGB, DCI-P3, BT.2020, etc.). By default, applications should assume the sRGB color space. When color equality needs to be decided, implementations, unless documented otherwise, treat two colors as equal if all their red, green, blue, and alpha values each differ by at most 1e-5. Example (Java): import com.google.type.Color; // ... public static java.awt.Color fromProto(Color protocolor) { float alpha = protocolor.hasAlpha() ? protocolor.getAlpha().getValue() : 1.0; return new java.awt.Color( protocolor.getRed(), protocolor.getGreen(), protocolor.getBlue(), alpha); } public static Color toProto(java.awt.Color color) { float red = (float) color.getRed(); float green = (float) color.getGreen(); float blue = (float) color.getBlue(); float denominator = 255.0; Color.Builder resultBuilder = Color .newBuilder() .setRed(red / denominator) .setGreen(green / denominator) .setBlue(blue / denominator); int alpha = color.getAlpha(); if (alpha != 255) { result.setAlpha( FloatValue .newBuilder() .setValue(((float) alpha) / denominator) .build()); } return resultBuilder.build(); } // ... Example (iOS / Obj-C): // ... static UIColor* fromProto(Color* protocolor) { float red = [protocolor red]; float green = [protocolor green]; float blue = [protocolor blue]; FloatValue* alpha_wrapper = [protocolor alpha]; float alpha = 1.0; if (alpha_wrapper != nil) { alpha = [alpha_wrapper value]; } return [UIColor colorWithRed:red green:green blue:blue alpha:alpha]; } static Color* toProto(UIColor* color) { CGFloat red, green, blue, alpha; if (![color getRed:&red green:&green blue:&blue alpha:&alpha]) { return nil; } Color* result = [[Color alloc] init]; [result setRed:red]; [result setGreen:green]; [result setBlue:blue]; if (alpha <= 0.9999) { [result setAlpha:floatWrapperWithValue(alpha)]; } [result autorelease]; return result; } // ... Example (JavaScript): // ... var protoToCssColor = function(rgb_color) { var redFrac = rgb_color.red || 0.0; var greenFrac = rgb_color.green || 0.0; var blueFrac = rgb_color.blue || 0.0; var red = Math.floor(redFrac * 255); var green = Math.floor(greenFrac * 255); var blue = Math.floor(blueFrac * 255); if (!('alpha' in rgb_color)) { return rgbToCssColor(red, green, blue); } var alphaFrac = rgb_color.alpha.value || 0.0; var rgbParams = [red, green, blue].join(','); return ['rgba(', rgbParams, ',', alphaFrac, ')'].join(''); }; var rgbToCssColor = function(red, green, blue) { var rgbNumber = new Number((red << 16) | (green << 8) | blue); var hexString = rgbNumber.toString(16); var missingZeros = 6 - hexString.length; var resultBuilder = ['#']; for (var i = 0; i < missingZeros; i++) { resultBuilder.push('0'); } resultBuilder.push(hexString); return resultBuilder.join(''); }; // ...

pixelFraction? float - The fraction of pixels the color occupies in the image. Value in range [0, 1].

score? float - Image-specific score for this color. Value in range [0, 1].

googleapis.vision: ConnectionConfig

Closed record

Provides a set of configurations for controlling the behaviours when communicating with a remote HTTP endpoint.

Fields

auth BearerTokenConfig|OAuth2RefreshTokenGrantConfig - Configurations related to client authentication

httpVersion HttpVersion(default http:HTTP_2_0) - The HTTP version understood by the client

http1Settings? ClientHttp1Settings - Configurations related to HTTP/1.x protocol

http2Settings? ClientHttp2Settings - Configurations related to HTTP/2 protocol

timeout decimal(default 60) - The maximum time to wait (in seconds) for a response before closing the connection

forwarded string(default "disable") - The choice of setting forwarded/x-forwarded header

poolConfig? PoolConfiguration - Configurations associated with request pooling

cache? CacheConfig - HTTP caching related configurations

compression Compression(default http:COMPRESSION_AUTO) - Specifies the way of handling compression (accept-encoding) header

circuitBreaker? CircuitBreakerConfig - Configurations associated with the behaviour of the Circuit Breaker

retryConfig? RetryConfig - Configurations associated with retrying

responseLimits? ResponseLimitConfigs - Configurations associated with inbound response size limits

secureSocket? ClientSecureSocket - SSL/TLS-related options

proxy? ProxyConfig - Proxy server related options

validation boolean(default true) - Enables the inbound payload validation functionality which provided by the constraint package. Enabled by default

googleapis.vision: CropHint

Single crop hint that is used to generate a new crop when serving an image.

Fields

boundingPoly? BoundingPoly - A bounding polygon for the detected image annotation.

confidence? float - Confidence of this being a salient region. Range [0, 1].

importanceFraction? float - Fraction of importance of this salient region with respect to the original image.

googleapis.vision: CropHintsAnnotation

Set of crop hints that are used to generate new crops when serving images.

Fields

cropHints? CropHint[] - Crop hint results.

googleapis.vision: CropHintsParams

Parameters for crop hints annotation request.

Fields

aspectRatios? float[] - Aspect ratios in floats, representing the ratio of the width to the height of the image. For example, if the desired aspect ratio is 4/3, the corresponding float value should be 1.33333. If not specified, the best possible crop is returned. The number of provided aspect ratios is limited to a maximum of 16; any aspect ratios provided after the 16th are ignored.

googleapis.vision: DetectedBreak

Detected start or end of a structural component.

Fields

isPrefix? boolean - True if break prepends the element.

'type? string - Detected break type.

googleapis.vision: DetectedLanguage

Detected language for a structural component.

Fields

confidence? float - Confidence of detected language. Range [0, 1].

languageCode? string - The BCP-47 language code, such as "en-US" or "sr-Latn". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.

googleapis.vision: DominantColorsAnnotation

Set of dominant colors and their corresponding scores.

Fields

colors? ColorInfo[] - RGB color values with their score and pixel fraction.

googleapis.vision: Empty

A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } The JSON representation for Empty is empty JSON object {}.

googleapis.vision: EntityAnnotation

Set of detected entity features.

Fields

boundingPoly? BoundingPoly - A bounding polygon for the detected image annotation.

confidence? float - Deprecated. Use score instead. The accuracy of the entity detection in an image. For example, for an image in which the "Eiffel Tower" entity is detected, this field represents the confidence that there is a tower in the query image. Range [0, 1].

description? string - Entity textual description, expressed in its locale language.

locale? string - The language code for the locale in which the entity textual description is expressed.

locations? LocationInfo[] - The location information for the detected entity. Multiple LocationInfo elements can be present because one location may indicate the location of the scene in the image, and another location may indicate the location of the place where the image was taken. Location information is usually present for landmarks.

mid? string - Opaque entity ID. Some IDs may be available in Google Knowledge Graph Search API.

properties? Property[] - Some entities may have optional user-supplied Property (name/value) fields, such a score or string that qualifies the entity.

score? float - Overall score of the result. Range [0, 1].

topicality? float - The relevancy of the ICA (Image Content Annotation) label to the image. For example, the relevancy of "tower" is likely higher to an image containing the detected "Eiffel Tower" than to an image containing a detected distant towering building, even though the confidence that there is a tower in each image may be the same. Range [0, 1].

googleapis.vision: FaceAnnotation

A face annotation object contains the results of face detection.

Fields

angerLikelihood? string - Anger likelihood.

blurredLikelihood? string - Blurred likelihood.

boundingPoly? BoundingPoly - A bounding polygon for the detected image annotation.

detectionConfidence? float - Detection confidence. Range [0, 1].

fdBoundingPoly? BoundingPoly - A bounding polygon for the detected image annotation.

headwearLikelihood? string - Headwear likelihood.

joyLikelihood? string - Joy likelihood.

landmarkingConfidence? float - Face landmarking confidence. Range [0, 1].

landmarks? Landmark[] - Detected face landmarks.

panAngle? float - Yaw angle, which indicates the leftward/rightward angle that the face is pointing relative to the vertical plane perpendicular to the image. Range [-180,180].

rollAngle? float - Roll angle, which indicates the amount of clockwise/anti-clockwise rotation of the face relative to the image vertical about the axis perpendicular to the face. Range [-180,180].

sorrowLikelihood? string - Sorrow likelihood.

surpriseLikelihood? string - Surprise likelihood.

tiltAngle? float - Pitch angle, which indicates the upwards/downwards angle that the face is pointing relative to the image's horizontal plane. Range [-180,180].

underExposedLikelihood? string - Under-exposed likelihood.

googleapis.vision: Feature

The type of Google Cloud Vision API detection to perform, and the maximum number of results to return for that type. Multiple Feature objects can be specified in the features list.

Fields

maxResults? int - Maximum number of results of this type. Does not apply to TEXT_DETECTION, DOCUMENT_TEXT_DETECTION, or CROP_HINTS.

model? string - Model to use for the feature. Supported values: "builtin/stable" (the default if unset) and "builtin/latest".

'type? string - The feature type.

googleapis.vision: GcsDestination

The Google Cloud Storage location where the output will be written to.

Fields

uri? string - Google Cloud Storage URI prefix where the results will be stored. Results will be in JSON format and preceded by its corresponding input URI prefix. This field can either represent a gcs file prefix or gcs directory. In either case, the uri should be unique because in order to get all of the output files, you will need to do a wildcard gcs search on the uri prefix you provide. Examples: * File Prefix: gs://bucket-name/here/filenameprefix The output files will be created in gs://bucket-name/here/ and the names of the output files will begin with "filenameprefix". * Directory Prefix: gs://bucket-name/some/location/ The output files will be created in gs://bucket-name/some/location/ and the names of the output files could be anything because there was no filename prefix specified. If multiple outputs, each response is still AnnotateFileResponse, each of which contains some subset of the full list of AnnotateImageResponse. Multiple outputs can happen if, for example, the output JSON is too large and overflows into multiple sharded files.

googleapis.vision: GcsSource

The Google Cloud Storage location where the input will be read from.

Fields

uri? string - Google Cloud Storage URI for the input file. This must only be a Google Cloud Storage object. Wildcards are not currently supported.

googleapis.vision: GoogleCloudVisionV1p1beta1AnnotateFileResponse

Response to a single file annotation request. A file may contain one or more images, which individually have their own responses.

Fields

'error? Status - The Status type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by gRPC. Each Status message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the API Design Guide.

inputConfig? GoogleCloudVisionV1p1beta1InputConfig - The desired input location and metadata.

responses? GoogleCloudVisionV1p1beta1AnnotateImageResponse[] - Individual responses to images found within the file. This field will be empty if the error field is set.

totalPages? int - This field gives the total number of pages in the file.

googleapis.vision: GoogleCloudVisionV1p1beta1AnnotateImageResponse

Response to an image annotation request.

Fields

context? GoogleCloudVisionV1p1beta1ImageAnnotationContext - If an image was produced from a file (e.g. a PDF), this message gives information about the source of that image.

cropHintsAnnotation? GoogleCloudVisionV1p1beta1CropHintsAnnotation - Set of crop hints that are used to generate new crops when serving images.

'error? Status - The Status type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by gRPC. Each Status message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the API Design Guide.

faceAnnotations? GoogleCloudVisionV1p1beta1FaceAnnotation[] - If present, face detection has completed successfully.

fullTextAnnotation? GoogleCloudVisionV1p1beta1TextAnnotation - TextAnnotation contains a structured representation of OCR extracted text. The hierarchy of an OCR extracted text structure is like this: TextAnnotation -> Page -> Block -> Paragraph -> Word -> Symbol Each structural component, starting from Page, may further have their own properties. Properties describe detected languages, breaks etc.. Please refer to the TextAnnotation.TextProperty message definition below for more detail.

imagePropertiesAnnotation? GoogleCloudVisionV1p1beta1ImageProperties - Stores image properties, such as dominant colors.

labelAnnotations? GoogleCloudVisionV1p1beta1EntityAnnotation[] - If present, label detection has completed successfully.

landmarkAnnotations? GoogleCloudVisionV1p1beta1EntityAnnotation[] - If present, landmark detection has completed successfully.

localizedObjectAnnotations? GoogleCloudVisionV1p1beta1LocalizedObjectAnnotation[] - If present, localized object detection has completed successfully. This will be sorted descending by confidence score.

logoAnnotations? GoogleCloudVisionV1p1beta1EntityAnnotation[] - If present, logo detection has completed successfully.

productSearchResults? GoogleCloudVisionV1p1beta1ProductSearchResults - Results for a product search request.

safeSearchAnnotation? GoogleCloudVisionV1p1beta1SafeSearchAnnotation - Set of features pertaining to the image, computed by computer vision methods over safe-search verticals (for example, adult, spoof, medical, violence).

textAnnotations? GoogleCloudVisionV1p1beta1EntityAnnotation[] - If present, text (OCR) detection has completed successfully.

webDetection? GoogleCloudVisionV1p1beta1WebDetection - Relevant information for the image from the Internet.

googleapis.vision: GoogleCloudVisionV1p1beta1AsyncAnnotateFileResponse

The response for a single offline file annotation request.

Fields

outputConfig? GoogleCloudVisionV1p1beta1OutputConfig - The desired output location and metadata.

googleapis.vision: GoogleCloudVisionV1p1beta1AsyncBatchAnnotateFilesResponse

Response to an async batch file annotation request.

Fields

responses? GoogleCloudVisionV1p1beta1AsyncAnnotateFileResponse[] - The list of file annotation responses, one for each request in AsyncBatchAnnotateFilesRequest.

googleapis.vision: GoogleCloudVisionV1p1beta1Block

Logical element on the page.

Fields

blockType? string - Detected block type (text, image etc) for this block.

boundingBox? GoogleCloudVisionV1p1beta1BoundingPoly - A bounding polygon for the detected image annotation.

confidence? float - Confidence of the OCR results on the block. Range [0, 1].

paragraphs? GoogleCloudVisionV1p1beta1Paragraph[] - List of paragraphs in this block (if this blocks is of type text).

property? GoogleCloudVisionV1p1beta1TextAnnotationTextProperty - Additional information detected on the structural component.

googleapis.vision: GoogleCloudVisionV1p1beta1BoundingPoly

A bounding polygon for the detected image annotation.

Fields

normalizedVertices? GoogleCloudVisionV1p1beta1NormalizedVertex[] - The bounding polygon normalized vertices.

vertices? GoogleCloudVisionV1p1beta1Vertex[] - The bounding polygon vertices.

googleapis.vision: GoogleCloudVisionV1p1beta1ColorInfo

Color information consists of RGB channels, score, and the fraction of the image that the color occupies in the image.

Fields

color? Color - Represents a color in the RGBA color space. This representation is designed for simplicity of conversion to/from color representations in various languages over compactness. For example, the fields of this representation can be trivially provided to the constructor of java.awt.Color in Java; it can also be trivially provided to UIColor's +colorWithRed:green:blue:alpha method in iOS; and, with just a little work, it can be easily formatted into a CSS rgba() string in JavaScript. This reference page doesn't carry information about the absolute color space that should be used to interpret the RGB value (e.g. sRGB, Adobe RGB, DCI-P3, BT.2020, etc.). By default, applications should assume the sRGB color space. When color equality needs to be decided, implementations, unless documented otherwise, treat two colors as equal if all their red, green, blue, and alpha values each differ by at most 1e-5. Example (Java): import com.google.type.Color; // ... public static java.awt.Color fromProto(Color protocolor) { float alpha = protocolor.hasAlpha() ? protocolor.getAlpha().getValue() : 1.0; return new java.awt.Color( protocolor.getRed(), protocolor.getGreen(), protocolor.getBlue(), alpha); } public static Color toProto(java.awt.Color color) { float red = (float) color.getRed(); float green = (float) color.getGreen(); float blue = (float) color.getBlue(); float denominator = 255.0; Color.Builder resultBuilder = Color .newBuilder() .setRed(red / denominator) .setGreen(green / denominator) .setBlue(blue / denominator); int alpha = color.getAlpha(); if (alpha != 255) { result.setAlpha( FloatValue .newBuilder() .setValue(((float) alpha) / denominator) .build()); } return resultBuilder.build(); } // ... Example (iOS / Obj-C): // ... static UIColor* fromProto(Color* protocolor) { float red = [protocolor red]; float green = [protocolor green]; float blue = [protocolor blue]; FloatValue* alpha_wrapper = [protocolor alpha]; float alpha = 1.0; if (alpha_wrapper != nil) { alpha = [alpha_wrapper value]; } return [UIColor colorWithRed:red green:green blue:blue alpha:alpha]; } static Color* toProto(UIColor* color) { CGFloat red, green, blue, alpha; if (![color getRed:&red green:&green blue:&blue alpha:&alpha]) { return nil; } Color* result = [[Color alloc] init]; [result setRed:red]; [result setGreen:green]; [result setBlue:blue]; if (alpha <= 0.9999) { [result setAlpha:floatWrapperWithValue(alpha)]; } [result autorelease]; return result; } // ... Example (JavaScript): // ... var protoToCssColor = function(rgb_color) { var redFrac = rgb_color.red || 0.0; var greenFrac = rgb_color.green || 0.0; var blueFrac = rgb_color.blue || 0.0; var red = Math.floor(redFrac * 255); var green = Math.floor(greenFrac * 255); var blue = Math.floor(blueFrac * 255); if (!('alpha' in rgb_color)) { return rgbToCssColor(red, green, blue); } var alphaFrac = rgb_color.alpha.value || 0.0; var rgbParams = [red, green, blue].join(','); return ['rgba(', rgbParams, ',', alphaFrac, ')'].join(''); }; var rgbToCssColor = function(red, green, blue) { var rgbNumber = new Number((red << 16) | (green << 8) | blue); var hexString = rgbNumber.toString(16); var missingZeros = 6 - hexString.length; var resultBuilder = ['#']; for (var i = 0; i < missingZeros; i++) { resultBuilder.push('0'); } resultBuilder.push(hexString); return resultBuilder.join(''); }; // ...

pixelFraction? float - The fraction of pixels the color occupies in the image. Value in range [0, 1].

score? float - Image-specific score for this color. Value in range [0, 1].

googleapis.vision: GoogleCloudVisionV1p1beta1CropHint

Single crop hint that is used to generate a new crop when serving an image.

Fields

boundingPoly? GoogleCloudVisionV1p1beta1BoundingPoly - A bounding polygon for the detected image annotation.

confidence? float - Confidence of this being a salient region. Range [0, 1].

importanceFraction? float - Fraction of importance of this salient region with respect to the original image.

googleapis.vision: GoogleCloudVisionV1p1beta1CropHintsAnnotation

Set of crop hints that are used to generate new crops when serving images.

Fields

cropHints? GoogleCloudVisionV1p1beta1CropHint[] - Crop hint results.

googleapis.vision: GoogleCloudVisionV1p1beta1DominantColorsAnnotation

Set of dominant colors and their corresponding scores.

Fields

colors? GoogleCloudVisionV1p1beta1ColorInfo[] - RGB color values with their score and pixel fraction.

googleapis.vision: GoogleCloudVisionV1p1beta1EntityAnnotation

Set of detected entity features.

Fields

boundingPoly? GoogleCloudVisionV1p1beta1BoundingPoly - A bounding polygon for the detected image annotation.

confidence? float - Deprecated. Use score instead. The accuracy of the entity detection in an image. For example, for an image in which the "Eiffel Tower" entity is detected, this field represents the confidence that there is a tower in the query image. Range [0, 1].

description? string - Entity textual description, expressed in its locale language.

locale? string - The language code for the locale in which the entity textual description is expressed.

locations? GoogleCloudVisionV1p1beta1LocationInfo[] - The location information for the detected entity. Multiple LocationInfo elements can be present because one location may indicate the location of the scene in the image, and another location may indicate the location of the place where the image was taken. Location information is usually present for landmarks.

mid? string - Opaque entity ID. Some IDs may be available in Google Knowledge Graph Search API.

properties? GoogleCloudVisionV1p1beta1Property[] - Some entities may have optional user-supplied Property (name/value) fields, such a score or string that qualifies the entity.

score? float - Overall score of the result. Range [0, 1].

topicality? float - The relevancy of the ICA (Image Content Annotation) label to the image. For example, the relevancy of "tower" is likely higher to an image containing the detected "Eiffel Tower" than to an image containing a detected distant towering building, even though the confidence that there is a tower in each image may be the same. Range [0, 1].

googleapis.vision: GoogleCloudVisionV1p1beta1FaceAnnotation

A face annotation object contains the results of face detection.

Fields

angerLikelihood? string - Anger likelihood.

blurredLikelihood? string - Blurred likelihood.

boundingPoly? GoogleCloudVisionV1p1beta1BoundingPoly - A bounding polygon for the detected image annotation.

detectionConfidence? float - Detection confidence. Range [0, 1].

fdBoundingPoly? GoogleCloudVisionV1p1beta1BoundingPoly - A bounding polygon for the detected image annotation.

headwearLikelihood? string - Headwear likelihood.

joyLikelihood? string - Joy likelihood.

landmarkingConfidence? float - Face landmarking confidence. Range [0, 1].

landmarks? GoogleCloudVisionV1p1beta1FaceAnnotationLandmark[] - Detected face landmarks.

panAngle? float - Yaw angle, which indicates the leftward/rightward angle that the face is pointing relative to the vertical plane perpendicular to the image. Range [-180,180].

rollAngle? float - Roll angle, which indicates the amount of clockwise/anti-clockwise rotation of the face relative to the image vertical about the axis perpendicular to the face. Range [-180,180].

sorrowLikelihood? string - Sorrow likelihood.

surpriseLikelihood? string - Surprise likelihood.

tiltAngle? float - Pitch angle, which indicates the upwards/downwards angle that the face is pointing relative to the image's horizontal plane. Range [-180,180].

underExposedLikelihood? string - Under-exposed likelihood.

googleapis.vision: GoogleCloudVisionV1p1beta1FaceAnnotationLandmark

A face-specific landmark (for example, a face feature).

Fields

position? GoogleCloudVisionV1p1beta1Position - A 3D position in the image, used primarily for Face detection landmarks. A valid Position must have both x and y coordinates. The position coordinates are in the same scale as the original image.

'type? string - Face landmark type.

googleapis.vision: GoogleCloudVisionV1p1beta1GcsDestination

The Google Cloud Storage location where the output will be written to.

Fields

uri? string - Google Cloud Storage URI prefix where the results will be stored. Results will be in JSON format and preceded by its corresponding input URI prefix. This field can either represent a gcs file prefix or gcs directory. In either case, the uri should be unique because in order to get all of the output files, you will need to do a wildcard gcs search on the uri prefix you provide. Examples: * File Prefix: gs://bucket-name/here/filenameprefix The output files will be created in gs://bucket-name/here/ and the names of the output files will begin with "filenameprefix". * Directory Prefix: gs://bucket-name/some/location/ The output files will be created in gs://bucket-name/some/location/ and the names of the output files could be anything because there was no filename prefix specified. If multiple outputs, each response is still AnnotateFileResponse, each of which contains some subset of the full list of AnnotateImageResponse. Multiple outputs can happen if, for example, the output JSON is too large and overflows into multiple sharded files.

googleapis.vision: GoogleCloudVisionV1p1beta1GcsSource

The Google Cloud Storage location where the input will be read from.

Fields

uri? string - Google Cloud Storage URI for the input file. This must only be a Google Cloud Storage object. Wildcards are not currently supported.

googleapis.vision: GoogleCloudVisionV1p1beta1ImageAnnotationContext

If an image was produced from a file (e.g. a PDF), this message gives information about the source of that image.

Fields

pageNumber? int - If the file was a PDF or TIFF, this field gives the page number within the file used to produce the image.

uri? string - The URI of the file used to produce the image.

googleapis.vision: GoogleCloudVisionV1p1beta1ImageProperties

Stores image properties, such as dominant colors.

Fields

dominantColors? GoogleCloudVisionV1p1beta1DominantColorsAnnotation - Set of dominant colors and their corresponding scores.

googleapis.vision: GoogleCloudVisionV1p1beta1InputConfig

The desired input location and metadata.

Fields

content? string - File content, represented as a stream of bytes. Note: As with all bytes fields, protobuffers use a pure binary representation, whereas JSON representations use base64. Currently, this field only works for BatchAnnotateFiles requests. It does not work for AsyncBatchAnnotateFiles requests.

gcsSource? GoogleCloudVisionV1p1beta1GcsSource - The Google Cloud Storage location where the input will be read from.

mimeType? string - The type of the file. Currently only "application/pdf", "image/tiff" and "image/gif" are supported. Wildcards are not supported.

googleapis.vision: GoogleCloudVisionV1p1beta1LocalizedObjectAnnotation

Set of detected objects with bounding boxes.

Fields

boundingPoly? GoogleCloudVisionV1p1beta1BoundingPoly - A bounding polygon for the detected image annotation.

languageCode? string - The BCP-47 language code, such as "en-US" or "sr-Latn". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.

mid? string - Object ID that should align with EntityAnnotation mid.

name? string - Object name, expressed in its language_code language.

score? float - Score of the result. Range [0, 1].

googleapis.vision: GoogleCloudVisionV1p1beta1LocationInfo

Detected entity location information.

Fields

latLng? LatLng - An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this object must conform to the WGS84 standard. Values must be within normalized ranges.

googleapis.vision: GoogleCloudVisionV1p1beta1NormalizedVertex

A vertex represents a 2D point in the image. NOTE: the normalized vertex coordinates are relative to the original image and range from 0 to 1.

Fields

x? float - X coordinate.

y? float - Y coordinate.

googleapis.vision: GoogleCloudVisionV1p1beta1OperationMetadata

Contains metadata for the BatchAnnotateImages operation.

Fields

createTime? string - The time when the batch request was received.

state? string - Current state of the batch operation.

updateTime? string - The time when the operation result was last updated.

googleapis.vision: GoogleCloudVisionV1p1beta1OutputConfig

The desired output location and metadata.

Fields

batchSize? int - The max number of response protos to put into each output JSON file on Google Cloud Storage. The valid range is [1, 100]. If not specified, the default value is 20. For example, for one pdf file with 100 pages, 100 response protos will be generated. If batch_size = 20, then 5 json files each containing 20 response protos will be written under the prefix gcs_destination.uri. Currently, batch_size only applies to GcsDestination, with potential future support for other output configurations.

gcsDestination? GoogleCloudVisionV1p1beta1GcsDestination - The Google Cloud Storage location where the output will be written to.

googleapis.vision: GoogleCloudVisionV1p1beta1Page

Detected page from OCR.

Fields

blocks? GoogleCloudVisionV1p1beta1Block[] - List of blocks of text, images etc on this page.

confidence? float - Confidence of the OCR results on the page. Range [0, 1].

height? int - Page height. For PDFs the unit is points. For images (including TIFFs) the unit is pixels.

property? GoogleCloudVisionV1p1beta1TextAnnotationTextProperty - Additional information detected on the structural component.

width? int - Page width. For PDFs the unit is points. For images (including TIFFs) the unit is pixels.

googleapis.vision: GoogleCloudVisionV1p1beta1Paragraph

Structural unit of text representing a number of words in certain order.

Fields

boundingBox? GoogleCloudVisionV1p1beta1BoundingPoly - A bounding polygon for the detected image annotation.

confidence? float - Confidence of the OCR results for the paragraph. Range [0, 1].

property? GoogleCloudVisionV1p1beta1TextAnnotationTextProperty - Additional information detected on the structural component.

words? GoogleCloudVisionV1p1beta1Word[] - List of all words in this paragraph.

googleapis.vision: GoogleCloudVisionV1p1beta1Position

A 3D position in the image, used primarily for Face detection landmarks. A valid Position must have both x and y coordinates. The position coordinates are in the same scale as the original image.

Fields

x? float - X coordinate.

y? float - Y coordinate.

z? float - Z coordinate (or depth).

googleapis.vision: GoogleCloudVisionV1p1beta1Product

A Product contains ReferenceImages.

Fields

description? string - User-provided metadata to be stored with this product. Must be at most 4096 characters long.

displayName? string - The user-provided name for this Product. Must not be empty. Must be at most 4096 characters long.

name? string - The resource name of the product. Format is: projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID. This field is ignored when creating a product.

productCategory? string - Immutable. The category for the product identified by the reference image. This should be one of "homegoods-v2", "apparel-v2", "toys-v2", "packagedgoods-v1" or "general-v1". The legacy categories "homegoods", "apparel", and "toys" are still supported, but these should not be used for new products.

productLabels? GoogleCloudVisionV1p1beta1ProductKeyValue[] - Key-value pairs that can be attached to a product. At query time, constraints can be specified based on the product_labels. Note that integer values can be provided as strings, e.g. "1199". Only strings with integer values can match a range-based restriction which is to be supported soon. Multiple values can be assigned to the same key. One product may have up to 500 product_labels. Notice that the total number of distinct product_labels over all products in one ProductSet cannot exceed 1M, otherwise the product search pipeline will refuse to work for that ProductSet.

googleapis.vision: GoogleCloudVisionV1p1beta1ProductKeyValue

A product label represented as a key-value pair.

Fields

'key? string - The key of the label attached to the product. Cannot be empty and cannot exceed 128 bytes.

value? string - The value of the label attached to the product. Cannot be empty and cannot exceed 128 bytes.

googleapis.vision: GoogleCloudVisionV1p1beta1ProductSearchResults

Results for a product search request.

Fields

indexTime? string - Timestamp of the index which provided these results. Products added to the product set and products removed from the product set after this time are not reflected in the current results.

productGroupedResults? GoogleCloudVisionV1p1beta1ProductSearchResultsGroupedResult[] - List of results grouped by products detected in the query image. Each entry corresponds to one bounding polygon in the query image, and contains the matching products specific to that region. There may be duplicate product matches in the union of all the per-product results.

results? GoogleCloudVisionV1p1beta1ProductSearchResultsResult[] - List of results, one for each product match.

googleapis.vision: GoogleCloudVisionV1p1beta1ProductSearchResultsGroupedResult

Information about the products similar to a single product in a query image.

Fields

boundingPoly? GoogleCloudVisionV1p1beta1BoundingPoly - A bounding polygon for the detected image annotation.

objectAnnotations? GoogleCloudVisionV1p1beta1ProductSearchResultsObjectAnnotation[] - List of generic predictions for the object in the bounding box.

results? GoogleCloudVisionV1p1beta1ProductSearchResultsResult[] - List of results, one for each product match.

googleapis.vision: GoogleCloudVisionV1p1beta1ProductSearchResultsObjectAnnotation

Prediction for what the object in the bounding box is.

Fields

languageCode? string - The BCP-47 language code, such as "en-US" or "sr-Latn". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.

mid? string - Object ID that should align with EntityAnnotation mid.

name? string - Object name, expressed in its language_code language.

score? float - Score of the result. Range [0, 1].

googleapis.vision: GoogleCloudVisionV1p1beta1ProductSearchResultsResult

Information about a product.

Fields

image? string - The resource name of the image from the product that is the closest match to the query.

product? GoogleCloudVisionV1p1beta1Product - A Product contains ReferenceImages.

score? float - A confidence level on the match, ranging from 0 (no confidence) to 1 (full confidence).

googleapis.vision: GoogleCloudVisionV1p1beta1Property

A Property consists of a user-supplied name/value pair.

Fields

name? string - Name of the property.

uint64Value? string - Value of numeric properties.

value? string - Value of the property.

googleapis.vision: GoogleCloudVisionV1p1beta1SafeSearchAnnotation

Set of features pertaining to the image, computed by computer vision methods over safe-search verticals (for example, adult, spoof, medical, violence).

Fields

adult? string - Represents the adult content likelihood for the image. Adult content may contain elements such as nudity, pornographic images or cartoons, or sexual activities.

medical? string - Likelihood that this is a medical image.

racy? string - Likelihood that the request image contains racy content. Racy content may include (but is not limited to) skimpy or sheer clothing, strategically covered nudity, lewd or provocative poses, or close-ups of sensitive body areas.

spoof? string - Spoof likelihood. The likelihood that an modification was made to the image's canonical version to make it appear funny or offensive.

violence? string - Likelihood that this image contains violent content.

googleapis.vision: GoogleCloudVisionV1p1beta1Symbol

A single symbol representation.

Fields

boundingBox? GoogleCloudVisionV1p1beta1BoundingPoly - A bounding polygon for the detected image annotation.

confidence? float - Confidence of the OCR results for the symbol. Range [0, 1].

property? GoogleCloudVisionV1p1beta1TextAnnotationTextProperty - Additional information detected on the structural component.

text? string - The actual UTF-8 representation of the symbol.

googleapis.vision: GoogleCloudVisionV1p1beta1TextAnnotation

TextAnnotation contains a structured representation of OCR extracted text. The hierarchy of an OCR extracted text structure is like this: TextAnnotation -> Page -> Block -> Paragraph -> Word -> Symbol Each structural component, starting from Page, may further have their own properties. Properties describe detected languages, breaks etc.. Please refer to the TextAnnotation.TextProperty message definition below for more detail.

Fields

pages? GoogleCloudVisionV1p1beta1Page[] - List of pages detected by OCR.

text? string - UTF-8 text detected on the pages.

googleapis.vision: GoogleCloudVisionV1p1beta1TextAnnotationDetectedBreak

Detected start or end of a structural component.

Fields

isPrefix? boolean - True if break prepends the element.

'type? string - Detected break type.

googleapis.vision: GoogleCloudVisionV1p1beta1TextAnnotationDetectedLanguage

Detected language for a structural component.

Fields

confidence? float - Confidence of detected language. Range [0, 1].

languageCode? string - The BCP-47 language code, such as "en-US" or "sr-Latn". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.

googleapis.vision: GoogleCloudVisionV1p1beta1TextAnnotationTextProperty

Additional information detected on the structural component.

Fields

detectedBreak? GoogleCloudVisionV1p1beta1TextAnnotationDetectedBreak - Detected start or end of a structural component.

detectedLanguages? GoogleCloudVisionV1p1beta1TextAnnotationDetectedLanguage[] - A list of detected languages together with confidence.

googleapis.vision: GoogleCloudVisionV1p1beta1Vertex

A vertex represents a 2D point in the image. NOTE: the vertex coordinates are in the same scale as the original image.

Fields

x? int - X coordinate.

y? int - Y coordinate.

googleapis.vision: GoogleCloudVisionV1p1beta1WebDetection

Relevant information for the image from the Internet.

Fields

bestGuessLabels? GoogleCloudVisionV1p1beta1WebDetectionWebLabel[] - The service's best guess as to the topic of the request image. Inferred from similar images on the open web.

fullMatchingImages? GoogleCloudVisionV1p1beta1WebDetectionWebImage[] - Fully matching images from the Internet. Can include resized copies of the query image.

pagesWithMatchingImages? GoogleCloudVisionV1p1beta1WebDetectionWebPage[] - Web pages containing the matching images from the Internet.

partialMatchingImages? GoogleCloudVisionV1p1beta1WebDetectionWebImage[] - Partial matching images from the Internet. Those images are similar enough to share some key-point features. For example an original image will likely have partial matching for its crops.

visuallySimilarImages? GoogleCloudVisionV1p1beta1WebDetectionWebImage[] - The visually similar image results.

webEntities? GoogleCloudVisionV1p1beta1WebDetectionWebEntity[] - Deduced entities from similar images on the Internet.

googleapis.vision: GoogleCloudVisionV1p1beta1WebDetectionWebEntity

Entity deduced from similar images on the Internet.

Fields

description? string - Canonical description of the entity, in English.

entityId? string - Opaque entity ID.

score? float - Overall relevancy score for the entity. Not normalized and not comparable across different image queries.

googleapis.vision: GoogleCloudVisionV1p1beta1WebDetectionWebImage

Metadata for online images.

Fields

score? float - (Deprecated) Overall relevancy score for the image.

url? string - The result image URL.

googleapis.vision: GoogleCloudVisionV1p1beta1WebDetectionWebLabel

Label to provide extra metadata for the web detection.

Fields

label? string - Label for extra metadata.

languageCode? string - The BCP-47 language code for label, such as "en-US" or "sr-Latn". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.

googleapis.vision: GoogleCloudVisionV1p1beta1WebDetectionWebPage

Metadata for web pages.

Fields

fullMatchingImages? GoogleCloudVisionV1p1beta1WebDetectionWebImage[] - Fully matching images on the page. Can include resized copies of the query image.

pageTitle? string - Title for the web page, may contain HTML markups.

partialMatchingImages? GoogleCloudVisionV1p1beta1WebDetectionWebImage[] - Partial matching images on the page. Those images are similar enough to share some key-point features. For example an original image will likely have partial matching for its crops.

score? float - (Deprecated) Overall relevancy score for the web page.

url? string - The result web page URL.

googleapis.vision: GoogleCloudVisionV1p1beta1Word

A word representation.

Fields

boundingBox? GoogleCloudVisionV1p1beta1BoundingPoly - A bounding polygon for the detected image annotation.

confidence? float - Confidence of the OCR results for the word. Range [0, 1].

property? GoogleCloudVisionV1p1beta1TextAnnotationTextProperty - Additional information detected on the structural component.

symbols? GoogleCloudVisionV1p1beta1Symbol[] - List of symbols in the word. The order of the symbols follows the natural reading order.

googleapis.vision: GoogleCloudVisionV1p2beta1AnnotateFileResponse

Response to a single file annotation request. A file may contain one or more images, which individually have their own responses.

Fields

'error? Status - The Status type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by gRPC. Each Status message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the API Design Guide.

inputConfig? GoogleCloudVisionV1p2beta1InputConfig - The desired input location and metadata.

responses? GoogleCloudVisionV1p2beta1AnnotateImageResponse[] - Individual responses to images found within the file. This field will be empty if the error field is set.

totalPages? int - This field gives the total number of pages in the file.

googleapis.vision: GoogleCloudVisionV1p2beta1AnnotateImageResponse

Response to an image annotation request.

Fields

context? GoogleCloudVisionV1p2beta1ImageAnnotationContext - If an image was produced from a file (e.g. a PDF), this message gives information about the source of that image.

cropHintsAnnotation? GoogleCloudVisionV1p2beta1CropHintsAnnotation - Set of crop hints that are used to generate new crops when serving images.

'error? Status - The Status type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by gRPC. Each Status message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the API Design Guide.

faceAnnotations? GoogleCloudVisionV1p2beta1FaceAnnotation[] - If present, face detection has completed successfully.

fullTextAnnotation? GoogleCloudVisionV1p2beta1TextAnnotation - TextAnnotation contains a structured representation of OCR extracted text. The hierarchy of an OCR extracted text structure is like this: TextAnnotation -> Page -> Block -> Paragraph -> Word -> Symbol Each structural component, starting from Page, may further have their own properties. Properties describe detected languages, breaks etc.. Please refer to the TextAnnotation.TextProperty message definition below for more detail.

imagePropertiesAnnotation? GoogleCloudVisionV1p2beta1ImageProperties - Stores image properties, such as dominant colors.

labelAnnotations? GoogleCloudVisionV1p2beta1EntityAnnotation[] - If present, label detection has completed successfully.

landmarkAnnotations? GoogleCloudVisionV1p2beta1EntityAnnotation[] - If present, landmark detection has completed successfully.

localizedObjectAnnotations? GoogleCloudVisionV1p2beta1LocalizedObjectAnnotation[] - If present, localized object detection has completed successfully. This will be sorted descending by confidence score.

logoAnnotations? GoogleCloudVisionV1p2beta1EntityAnnotation[] - If present, logo detection has completed successfully.

productSearchResults? GoogleCloudVisionV1p2beta1ProductSearchResults - Results for a product search request.

safeSearchAnnotation? GoogleCloudVisionV1p2beta1SafeSearchAnnotation - Set of features pertaining to the image, computed by computer vision methods over safe-search verticals (for example, adult, spoof, medical, violence).

textAnnotations? GoogleCloudVisionV1p2beta1EntityAnnotation[] - If present, text (OCR) detection has completed successfully.

webDetection? GoogleCloudVisionV1p2beta1WebDetection - Relevant information for the image from the Internet.

googleapis.vision: GoogleCloudVisionV1p2beta1AsyncAnnotateFileResponse

The response for a single offline file annotation request.

Fields

outputConfig? GoogleCloudVisionV1p2beta1OutputConfig - The desired output location and metadata.

googleapis.vision: GoogleCloudVisionV1p2beta1AsyncBatchAnnotateFilesResponse

Response to an async batch file annotation request.

Fields

responses? GoogleCloudVisionV1p2beta1AsyncAnnotateFileResponse[] - The list of file annotation responses, one for each request in AsyncBatchAnnotateFilesRequest.

googleapis.vision: GoogleCloudVisionV1p2beta1Block

Logical element on the page.

Fields

blockType? string - Detected block type (text, image etc) for this block.

boundingBox? GoogleCloudVisionV1p2beta1BoundingPoly - A bounding polygon for the detected image annotation.

confidence? float - Confidence of the OCR results on the block. Range [0, 1].

paragraphs? GoogleCloudVisionV1p2beta1Paragraph[] - List of paragraphs in this block (if this blocks is of type text).

property? GoogleCloudVisionV1p2beta1TextAnnotationTextProperty - Additional information detected on the structural component.

googleapis.vision: GoogleCloudVisionV1p2beta1BoundingPoly

A bounding polygon for the detected image annotation.

Fields

normalizedVertices? GoogleCloudVisionV1p2beta1NormalizedVertex[] - The bounding polygon normalized vertices.

vertices? GoogleCloudVisionV1p2beta1Vertex[] - The bounding polygon vertices.

googleapis.vision: GoogleCloudVisionV1p2beta1ColorInfo

Color information consists of RGB channels, score, and the fraction of the image that the color occupies in the image.

Fields

color? Color - Represents a color in the RGBA color space. This representation is designed for simplicity of conversion to/from color representations in various languages over compactness. For example, the fields of this representation can be trivially provided to the constructor of java.awt.Color in Java; it can also be trivially provided to UIColor's +colorWithRed:green:blue:alpha method in iOS; and, with just a little work, it can be easily formatted into a CSS rgba() string in JavaScript. This reference page doesn't carry information about the absolute color space that should be used to interpret the RGB value (e.g. sRGB, Adobe RGB, DCI-P3, BT.2020, etc.). By default, applications should assume the sRGB color space. When color equality needs to be decided, implementations, unless documented otherwise, treat two colors as equal if all their red, green, blue, and alpha values each differ by at most 1e-5. Example (Java): import com.google.type.Color; // ... public static java.awt.Color fromProto(Color protocolor) { float alpha = protocolor.hasAlpha() ? protocolor.getAlpha().getValue() : 1.0; return new java.awt.Color( protocolor.getRed(), protocolor.getGreen(), protocolor.getBlue(), alpha); } public static Color toProto(java.awt.Color color) { float red = (float) color.getRed(); float green = (float) color.getGreen(); float blue = (float) color.getBlue(); float denominator = 255.0; Color.Builder resultBuilder = Color .newBuilder() .setRed(red / denominator) .setGreen(green / denominator) .setBlue(blue / denominator); int alpha = color.getAlpha(); if (alpha != 255) { result.setAlpha( FloatValue .newBuilder() .setValue(((float) alpha) / denominator) .build()); } return resultBuilder.build(); } // ... Example (iOS / Obj-C): // ... static UIColor* fromProto(Color* protocolor) { float red = [protocolor red]; float green = [protocolor green]; float blue = [protocolor blue]; FloatValue* alpha_wrapper = [protocolor alpha]; float alpha = 1.0; if (alpha_wrapper != nil) { alpha = [alpha_wrapper value]; } return [UIColor colorWithRed:red green:green blue:blue alpha:alpha]; } static Color* toProto(UIColor* color) { CGFloat red, green, blue, alpha; if (![color getRed:&red green:&green blue:&blue alpha:&alpha]) { return nil; } Color* result = [[Color alloc] init]; [result setRed:red]; [result setGreen:green]; [result setBlue:blue]; if (alpha <= 0.9999) { [result setAlpha:floatWrapperWithValue(alpha)]; } [result autorelease]; return result; } // ... Example (JavaScript): // ... var protoToCssColor = function(rgb_color) { var redFrac = rgb_color.red || 0.0; var greenFrac = rgb_color.green || 0.0; var blueFrac = rgb_color.blue || 0.0; var red = Math.floor(redFrac * 255); var green = Math.floor(greenFrac * 255); var blue = Math.floor(blueFrac * 255); if (!('alpha' in rgb_color)) { return rgbToCssColor(red, green, blue); } var alphaFrac = rgb_color.alpha.value || 0.0; var rgbParams = [red, green, blue].join(','); return ['rgba(', rgbParams, ',', alphaFrac, ')'].join(''); }; var rgbToCssColor = function(red, green, blue) { var rgbNumber = new Number((red << 16) | (green << 8) | blue); var hexString = rgbNumber.toString(16); var missingZeros = 6 - hexString.length; var resultBuilder = ['#']; for (var i = 0; i < missingZeros; i++) { resultBuilder.push('0'); } resultBuilder.push(hexString); return resultBuilder.join(''); }; // ...

pixelFraction? float - The fraction of pixels the color occupies in the image. Value in range [0, 1].

score? float - Image-specific score for this color. Value in range [0, 1].

googleapis.vision: GoogleCloudVisionV1p2beta1CropHint

Single crop hint that is used to generate a new crop when serving an image.

Fields

boundingPoly? GoogleCloudVisionV1p2beta1BoundingPoly - A bounding polygon for the detected image annotation.

confidence? float - Confidence of this being a salient region. Range [0, 1].

importanceFraction? float - Fraction of importance of this salient region with respect to the original image.

googleapis.vision: GoogleCloudVisionV1p2beta1CropHintsAnnotation

Set of crop hints that are used to generate new crops when serving images.

Fields

cropHints? GoogleCloudVisionV1p2beta1CropHint[] - Crop hint results.

googleapis.vision: GoogleCloudVisionV1p2beta1DominantColorsAnnotation

Set of dominant colors and their corresponding scores.

Fields

colors? GoogleCloudVisionV1p2beta1ColorInfo[] - RGB color values with their score and pixel fraction.

googleapis.vision: GoogleCloudVisionV1p2beta1EntityAnnotation

Set of detected entity features.

Fields

boundingPoly? GoogleCloudVisionV1p2beta1BoundingPoly - A bounding polygon for the detected image annotation.

confidence? float - Deprecated. Use score instead. The accuracy of the entity detection in an image. For example, for an image in which the "Eiffel Tower" entity is detected, this field represents the confidence that there is a tower in the query image. Range [0, 1].

description? string - Entity textual description, expressed in its locale language.

locale? string - The language code for the locale in which the entity textual description is expressed.

locations? GoogleCloudVisionV1p2beta1LocationInfo[] - The location information for the detected entity. Multiple LocationInfo elements can be present because one location may indicate the location of the scene in the image, and another location may indicate the location of the place where the image was taken. Location information is usually present for landmarks.

mid? string - Opaque entity ID. Some IDs may be available in Google Knowledge Graph Search API.

properties? GoogleCloudVisionV1p2beta1Property[] - Some entities may have optional user-supplied Property (name/value) fields, such a score or string that qualifies the entity.

score? float - Overall score of the result. Range [0, 1].

topicality? float - The relevancy of the ICA (Image Content Annotation) label to the image. For example, the relevancy of "tower" is likely higher to an image containing the detected "Eiffel Tower" than to an image containing a detected distant towering building, even though the confidence that there is a tower in each image may be the same. Range [0, 1].

googleapis.vision: GoogleCloudVisionV1p2beta1FaceAnnotation

A face annotation object contains the results of face detection.

Fields

angerLikelihood? string - Anger likelihood.

blurredLikelihood? string - Blurred likelihood.

boundingPoly? GoogleCloudVisionV1p2beta1BoundingPoly - A bounding polygon for the detected image annotation.

detectionConfidence? float - Detection confidence. Range [0, 1].

fdBoundingPoly? GoogleCloudVisionV1p2beta1BoundingPoly - A bounding polygon for the detected image annotation.

headwearLikelihood? string - Headwear likelihood.

joyLikelihood? string - Joy likelihood.

landmarkingConfidence? float - Face landmarking confidence. Range [0, 1].

landmarks? GoogleCloudVisionV1p2beta1FaceAnnotationLandmark[] - Detected face landmarks.

panAngle? float - Yaw angle, which indicates the leftward/rightward angle that the face is pointing relative to the vertical plane perpendicular to the image. Range [-180,180].

rollAngle? float - Roll angle, which indicates the amount of clockwise/anti-clockwise rotation of the face relative to the image vertical about the axis perpendicular to the face. Range [-180,180].

sorrowLikelihood? string - Sorrow likelihood.

surpriseLikelihood? string - Surprise likelihood.

tiltAngle? float - Pitch angle, which indicates the upwards/downwards angle that the face is pointing relative to the image's horizontal plane. Range [-180,180].

underExposedLikelihood? string - Under-exposed likelihood.

googleapis.vision: GoogleCloudVisionV1p2beta1FaceAnnotationLandmark

A face-specific landmark (for example, a face feature).

Fields

position? GoogleCloudVisionV1p2beta1Position - A 3D position in the image, used primarily for Face detection landmarks. A valid Position must have both x and y coordinates. The position coordinates are in the same scale as the original image.

'type? string - Face landmark type.

googleapis.vision: GoogleCloudVisionV1p2beta1GcsDestination

The Google Cloud Storage location where the output will be written to.

Fields

uri? string - Google Cloud Storage URI prefix where the results will be stored. Results will be in JSON format and preceded by its corresponding input URI prefix. This field can either represent a gcs file prefix or gcs directory. In either case, the uri should be unique because in order to get all of the output files, you will need to do a wildcard gcs search on the uri prefix you provide. Examples: * File Prefix: gs://bucket-name/here/filenameprefix The output files will be created in gs://bucket-name/here/ and the names of the output files will begin with "filenameprefix". * Directory Prefix: gs://bucket-name/some/location/ The output files will be created in gs://bucket-name/some/location/ and the names of the output files could be anything because there was no filename prefix specified. If multiple outputs, each response is still AnnotateFileResponse, each of which contains some subset of the full list of AnnotateImageResponse. Multiple outputs can happen if, for example, the output JSON is too large and overflows into multiple sharded files.

googleapis.vision: GoogleCloudVisionV1p2beta1GcsSource

The Google Cloud Storage location where the input will be read from.

Fields

uri? string - Google Cloud Storage URI for the input file. This must only be a Google Cloud Storage object. Wildcards are not currently supported.

googleapis.vision: GoogleCloudVisionV1p2beta1ImageAnnotationContext

If an image was produced from a file (e.g. a PDF), this message gives information about the source of that image.

Fields

pageNumber? int - If the file was a PDF or TIFF, this field gives the page number within the file used to produce the image.

uri? string - The URI of the file used to produce the image.

googleapis.vision: GoogleCloudVisionV1p2beta1ImageProperties

Stores image properties, such as dominant colors.

Fields

dominantColors? GoogleCloudVisionV1p2beta1DominantColorsAnnotation - Set of dominant colors and their corresponding scores.

googleapis.vision: GoogleCloudVisionV1p2beta1InputConfig

The desired input location and metadata.

Fields

content? string - File content, represented as a stream of bytes. Note: As with all bytes fields, protobuffers use a pure binary representation, whereas JSON representations use base64. Currently, this field only works for BatchAnnotateFiles requests. It does not work for AsyncBatchAnnotateFiles requests.

gcsSource? GoogleCloudVisionV1p2beta1GcsSource - The Google Cloud Storage location where the input will be read from.

mimeType? string - The type of the file. Currently only "application/pdf", "image/tiff" and "image/gif" are supported. Wildcards are not supported.

googleapis.vision: GoogleCloudVisionV1p2beta1LocalizedObjectAnnotation

Set of detected objects with bounding boxes.

Fields

boundingPoly? GoogleCloudVisionV1p2beta1BoundingPoly - A bounding polygon for the detected image annotation.

languageCode? string - The BCP-47 language code, such as "en-US" or "sr-Latn". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.

mid? string - Object ID that should align with EntityAnnotation mid.

name? string - Object name, expressed in its language_code language.

score? float - Score of the result. Range [0, 1].

googleapis.vision: GoogleCloudVisionV1p2beta1LocationInfo

Detected entity location information.

Fields

latLng? LatLng - An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this object must conform to the WGS84 standard. Values must be within normalized ranges.

googleapis.vision: GoogleCloudVisionV1p2beta1NormalizedVertex

A vertex represents a 2D point in the image. NOTE: the normalized vertex coordinates are relative to the original image and range from 0 to 1.

Fields

x? float - X coordinate.

y? float - Y coordinate.

googleapis.vision: GoogleCloudVisionV1p2beta1OperationMetadata

Contains metadata for the BatchAnnotateImages operation.

Fields

createTime? string - The time when the batch request was received.

state? string - Current state of the batch operation.

updateTime? string - The time when the operation result was last updated.

googleapis.vision: GoogleCloudVisionV1p2beta1OutputConfig

The desired output location and metadata.

Fields

batchSize? int - The max number of response protos to put into each output JSON file on Google Cloud Storage. The valid range is [1, 100]. If not specified, the default value is 20. For example, for one pdf file with 100 pages, 100 response protos will be generated. If batch_size = 20, then 5 json files each containing 20 response protos will be written under the prefix gcs_destination.uri. Currently, batch_size only applies to GcsDestination, with potential future support for other output configurations.

gcsDestination? GoogleCloudVisionV1p2beta1GcsDestination - The Google Cloud Storage location where the output will be written to.

googleapis.vision: GoogleCloudVisionV1p2beta1Page

Detected page from OCR.

Fields

blocks? GoogleCloudVisionV1p2beta1Block[] - List of blocks of text, images etc on this page.

confidence? float - Confidence of the OCR results on the page. Range [0, 1].

height? int - Page height. For PDFs the unit is points. For images (including TIFFs) the unit is pixels.

property? GoogleCloudVisionV1p2beta1TextAnnotationTextProperty - Additional information detected on the structural component.

width? int - Page width. For PDFs the unit is points. For images (including TIFFs) the unit is pixels.

googleapis.vision: GoogleCloudVisionV1p2beta1Paragraph

Structural unit of text representing a number of words in certain order.

Fields

boundingBox? GoogleCloudVisionV1p2beta1BoundingPoly - A bounding polygon for the detected image annotation.

confidence? float - Confidence of the OCR results for the paragraph. Range [0, 1].

property? GoogleCloudVisionV1p2beta1TextAnnotationTextProperty - Additional information detected on the structural component.

words? GoogleCloudVisionV1p2beta1Word[] - List of all words in this paragraph.

googleapis.vision: GoogleCloudVisionV1p2beta1Position

A 3D position in the image, used primarily for Face detection landmarks. A valid Position must have both x and y coordinates. The position coordinates are in the same scale as the original image.

Fields

x? float - X coordinate.

y? float - Y coordinate.

z? float - Z coordinate (or depth).

googleapis.vision: GoogleCloudVisionV1p2beta1Product

A Product contains ReferenceImages.

Fields

description? string - User-provided metadata to be stored with this product. Must be at most 4096 characters long.

displayName? string - The user-provided name for this Product. Must not be empty. Must be at most 4096 characters long.

name? string - The resource name of the product. Format is: projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID. This field is ignored when creating a product.

productCategory? string - Immutable. The category for the product identified by the reference image. This should be one of "homegoods-v2", "apparel-v2", "toys-v2", "packagedgoods-v1" or "general-v1". The legacy categories "homegoods", "apparel", and "toys" are still supported, but these should not be used for new products.

productLabels? GoogleCloudVisionV1p2beta1ProductKeyValue[] - Key-value pairs that can be attached to a product. At query time, constraints can be specified based on the product_labels. Note that integer values can be provided as strings, e.g. "1199". Only strings with integer values can match a range-based restriction which is to be supported soon. Multiple values can be assigned to the same key. One product may have up to 500 product_labels. Notice that the total number of distinct product_labels over all products in one ProductSet cannot exceed 1M, otherwise the product search pipeline will refuse to work for that ProductSet.

googleapis.vision: GoogleCloudVisionV1p2beta1ProductKeyValue

A product label represented as a key-value pair.

Fields

'key? string - The key of the label attached to the product. Cannot be empty and cannot exceed 128 bytes.

value? string - The value of the label attached to the product. Cannot be empty and cannot exceed 128 bytes.

googleapis.vision: GoogleCloudVisionV1p2beta1ProductSearchResults

Results for a product search request.

Fields

indexTime? string - Timestamp of the index which provided these results. Products added to the product set and products removed from the product set after this time are not reflected in the current results.

productGroupedResults? GoogleCloudVisionV1p2beta1ProductSearchResultsGroupedResult[] - List of results grouped by products detected in the query image. Each entry corresponds to one bounding polygon in the query image, and contains the matching products specific to that region. There may be duplicate product matches in the union of all the per-product results.

results? GoogleCloudVisionV1p2beta1ProductSearchResultsResult[] - List of results, one for each product match.

googleapis.vision: GoogleCloudVisionV1p2beta1ProductSearchResultsGroupedResult

Information about the products similar to a single product in a query image.

Fields

boundingPoly? GoogleCloudVisionV1p2beta1BoundingPoly - A bounding polygon for the detected image annotation.

objectAnnotations? GoogleCloudVisionV1p2beta1ProductSearchResultsObjectAnnotation[] - List of generic predictions for the object in the bounding box.

results? GoogleCloudVisionV1p2beta1ProductSearchResultsResult[] - List of results, one for each product match.

googleapis.vision: GoogleCloudVisionV1p2beta1ProductSearchResultsObjectAnnotation

Prediction for what the object in the bounding box is.

Fields

languageCode? string - The BCP-47 language code, such as "en-US" or "sr-Latn". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.

mid? string - Object ID that should align with EntityAnnotation mid.

name? string - Object name, expressed in its language_code language.

score? float - Score of the result. Range [0, 1].

googleapis.vision: GoogleCloudVisionV1p2beta1ProductSearchResultsResult

Information about a product.

Fields

image? string - The resource name of the image from the product that is the closest match to the query.

product? GoogleCloudVisionV1p2beta1Product - A Product contains ReferenceImages.

score? float - A confidence level on the match, ranging from 0 (no confidence) to 1 (full confidence).

googleapis.vision: GoogleCloudVisionV1p2beta1Property

A Property consists of a user-supplied name/value pair.

Fields

name? string - Name of the property.

uint64Value? string - Value of numeric properties.

value? string - Value of the property.

googleapis.vision: GoogleCloudVisionV1p2beta1SafeSearchAnnotation

Set of features pertaining to the image, computed by computer vision methods over safe-search verticals (for example, adult, spoof, medical, violence).

Fields

adult? string - Represents the adult content likelihood for the image. Adult content may contain elements such as nudity, pornographic images or cartoons, or sexual activities.

medical? string - Likelihood that this is a medical image.

racy? string - Likelihood that the request image contains racy content. Racy content may include (but is not limited to) skimpy or sheer clothing, strategically covered nudity, lewd or provocative poses, or close-ups of sensitive body areas.

spoof? string - Spoof likelihood. The likelihood that an modification was made to the image's canonical version to make it appear funny or offensive.

violence? string - Likelihood that this image contains violent content.

googleapis.vision: GoogleCloudVisionV1p2beta1Symbol

A single symbol representation.

Fields

boundingBox? GoogleCloudVisionV1p2beta1BoundingPoly - A bounding polygon for the detected image annotation.

confidence? float - Confidence of the OCR results for the symbol. Range [0, 1].

property? GoogleCloudVisionV1p2beta1TextAnnotationTextProperty - Additional information detected on the structural component.

text? string - The actual UTF-8 representation of the symbol.

googleapis.vision: GoogleCloudVisionV1p2beta1TextAnnotation

Fields

pages? GoogleCloudVisionV1p2beta1Page[] - List of pages detected by OCR.

text? string - UTF-8 text detected on the pages.

googleapis.vision: GoogleCloudVisionV1p2beta1TextAnnotationDetectedBreak

Detected start or end of a structural component.

Fields

isPrefix? boolean - True if break prepends the element.

'type? string - Detected break type.

googleapis.vision: GoogleCloudVisionV1p2beta1TextAnnotationDetectedLanguage

Detected language for a structural component.

Fields

confidence? float - Confidence of detected language. Range [0, 1].

languageCode? string - The BCP-47 language code, such as "en-US" or "sr-Latn". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.

googleapis.vision: GoogleCloudVisionV1p2beta1TextAnnotationTextProperty

Additional information detected on the structural component.

Fields

detectedBreak? GoogleCloudVisionV1p2beta1TextAnnotationDetectedBreak - Detected start or end of a structural component.

detectedLanguages? GoogleCloudVisionV1p2beta1TextAnnotationDetectedLanguage[] - A list of detected languages together with confidence.

googleapis.vision: GoogleCloudVisionV1p2beta1Vertex

A vertex represents a 2D point in the image. NOTE: the vertex coordinates are in the same scale as the original image.

Fields

x? int - X coordinate.

y? int - Y coordinate.

googleapis.vision: GoogleCloudVisionV1p2beta1WebDetection

Relevant information for the image from the Internet.

Fields

bestGuessLabels? GoogleCloudVisionV1p2beta1WebDetectionWebLabel[] - The service's best guess as to the topic of the request image. Inferred from similar images on the open web.

fullMatchingImages? GoogleCloudVisionV1p2beta1WebDetectionWebImage[] - Fully matching images from the Internet. Can include resized copies of the query image.

pagesWithMatchingImages? GoogleCloudVisionV1p2beta1WebDetectionWebPage[] - Web pages containing the matching images from the Internet.

partialMatchingImages? GoogleCloudVisionV1p2beta1WebDetectionWebImage[] - Partial matching images from the Internet. Those images are similar enough to share some key-point features. For example an original image will likely have partial matching for its crops.

visuallySimilarImages? GoogleCloudVisionV1p2beta1WebDetectionWebImage[] - The visually similar image results.

webEntities? GoogleCloudVisionV1p2beta1WebDetectionWebEntity[] - Deduced entities from similar images on the Internet.

googleapis.vision: GoogleCloudVisionV1p2beta1WebDetectionWebEntity

Entity deduced from similar images on the Internet.

Fields

description? string - Canonical description of the entity, in English.

entityId? string - Opaque entity ID.

score? float - Overall relevancy score for the entity. Not normalized and not comparable across different image queries.

googleapis.vision: GoogleCloudVisionV1p2beta1WebDetectionWebImage

Metadata for online images.

Fields

score? float - (Deprecated) Overall relevancy score for the image.

url? string - The result image URL.

googleapis.vision: GoogleCloudVisionV1p2beta1WebDetectionWebLabel

Label to provide extra metadata for the web detection.

Fields

label? string - Label for extra metadata.

languageCode? string - The BCP-47 language code for label, such as "en-US" or "sr-Latn". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.

googleapis.vision: GoogleCloudVisionV1p2beta1WebDetectionWebPage

Metadata for web pages.

Fields

fullMatchingImages? GoogleCloudVisionV1p2beta1WebDetectionWebImage[] - Fully matching images on the page. Can include resized copies of the query image.

pageTitle? string - Title for the web page, may contain HTML markups.

partialMatchingImages? GoogleCloudVisionV1p2beta1WebDetectionWebImage[] - Partial matching images on the page. Those images are similar enough to share some key-point features. For example an original image will likely have partial matching for its crops.

score? float - (Deprecated) Overall relevancy score for the web page.

url? string - The result web page URL.

googleapis.vision: GoogleCloudVisionV1p2beta1Word

A word representation.

Fields

boundingBox? GoogleCloudVisionV1p2beta1BoundingPoly - A bounding polygon for the detected image annotation.

confidence? float - Confidence of the OCR results for the word. Range [0, 1].

property? GoogleCloudVisionV1p2beta1TextAnnotationTextProperty - Additional information detected on the structural component.

symbols? GoogleCloudVisionV1p2beta1Symbol[] - List of symbols in the word. The order of the symbols follows the natural reading order.

googleapis.vision: GoogleCloudVisionV1p3beta1AnnotateFileResponse

Response to a single file annotation request. A file may contain one or more images, which individually have their own responses.

Fields

'error? Status - The Status type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by gRPC. Each Status message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the API Design Guide.

inputConfig? GoogleCloudVisionV1p3beta1InputConfig - The desired input location and metadata.

responses? GoogleCloudVisionV1p3beta1AnnotateImageResponse[] - Individual responses to images found within the file. This field will be empty if the error field is set.

totalPages? int - This field gives the total number of pages in the file.

googleapis.vision: GoogleCloudVisionV1p3beta1AnnotateImageResponse

Response to an image annotation request.

Fields

context? GoogleCloudVisionV1p3beta1ImageAnnotationContext - If an image was produced from a file (e.g. a PDF), this message gives information about the source of that image.

cropHintsAnnotation? GoogleCloudVisionV1p3beta1CropHintsAnnotation - Set of crop hints that are used to generate new crops when serving images.

'error? Status - The Status type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by gRPC. Each Status message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the API Design Guide.

faceAnnotations? GoogleCloudVisionV1p3beta1FaceAnnotation[] - If present, face detection has completed successfully.

fullTextAnnotation? GoogleCloudVisionV1p3beta1TextAnnotation - TextAnnotation contains a structured representation of OCR extracted text. The hierarchy of an OCR extracted text structure is like this: TextAnnotation -> Page -> Block -> Paragraph -> Word -> Symbol Each structural component, starting from Page, may further have their own properties. Properties describe detected languages, breaks etc.. Please refer to the TextAnnotation.TextProperty message definition below for more detail.

imagePropertiesAnnotation? GoogleCloudVisionV1p3beta1ImageProperties - Stores image properties, such as dominant colors.

labelAnnotations? GoogleCloudVisionV1p3beta1EntityAnnotation[] - If present, label detection has completed successfully.

landmarkAnnotations? GoogleCloudVisionV1p3beta1EntityAnnotation[] - If present, landmark detection has completed successfully.

localizedObjectAnnotations? GoogleCloudVisionV1p3beta1LocalizedObjectAnnotation[] - If present, localized object detection has completed successfully. This will be sorted descending by confidence score.

logoAnnotations? GoogleCloudVisionV1p3beta1EntityAnnotation[] - If present, logo detection has completed successfully.

productSearchResults? GoogleCloudVisionV1p3beta1ProductSearchResults - Results for a product search request.

safeSearchAnnotation? GoogleCloudVisionV1p3beta1SafeSearchAnnotation - Set of features pertaining to the image, computed by computer vision methods over safe-search verticals (for example, adult, spoof, medical, violence).

textAnnotations? GoogleCloudVisionV1p3beta1EntityAnnotation[] - If present, text (OCR) detection has completed successfully.

webDetection? GoogleCloudVisionV1p3beta1WebDetection - Relevant information for the image from the Internet.

googleapis.vision: GoogleCloudVisionV1p3beta1AsyncAnnotateFileResponse

The response for a single offline file annotation request.

Fields

outputConfig? GoogleCloudVisionV1p3beta1OutputConfig - The desired output location and metadata.

googleapis.vision: GoogleCloudVisionV1p3beta1AsyncBatchAnnotateFilesResponse

Response to an async batch file annotation request.

Fields

responses? GoogleCloudVisionV1p3beta1AsyncAnnotateFileResponse[] - The list of file annotation responses, one for each request in AsyncBatchAnnotateFilesRequest.

googleapis.vision: GoogleCloudVisionV1p3beta1BatchOperationMetadata

Fields

endTime? string - The time when the batch request is finished and google.longrunning.Operation.done is set to true.

state? string - The current state of the batch operation.

submitTime? string - The time when the batch request was submitted to the server.

googleapis.vision: GoogleCloudVisionV1p3beta1Block

Logical element on the page.

Fields

blockType? string - Detected block type (text, image etc) for this block.

boundingBox? GoogleCloudVisionV1p3beta1BoundingPoly - A bounding polygon for the detected image annotation.

confidence? float - Confidence of the OCR results on the block. Range [0, 1].

paragraphs? GoogleCloudVisionV1p3beta1Paragraph[] - List of paragraphs in this block (if this blocks is of type text).

property? GoogleCloudVisionV1p3beta1TextAnnotationTextProperty - Additional information detected on the structural component.

googleapis.vision: GoogleCloudVisionV1p3beta1BoundingPoly

A bounding polygon for the detected image annotation.

Fields

normalizedVertices? GoogleCloudVisionV1p3beta1NormalizedVertex[] - The bounding polygon normalized vertices.

vertices? GoogleCloudVisionV1p3beta1Vertex[] - The bounding polygon vertices.

googleapis.vision: GoogleCloudVisionV1p3beta1ColorInfo

Color information consists of RGB channels, score, and the fraction of the image that the color occupies in the image.

Fields

color? Color - Represents a color in the RGBA color space. This representation is designed for simplicity of conversion to/from color representations in various languages over compactness. For example, the fields of this representation can be trivially provided to the constructor of java.awt.Color in Java; it can also be trivially provided to UIColor's +colorWithRed:green:blue:alpha method in iOS; and, with just a little work, it can be easily formatted into a CSS rgba() string in JavaScript. This reference page doesn't carry information about the absolute color space that should be used to interpret the RGB value (e.g. sRGB, Adobe RGB, DCI-P3, BT.2020, etc.). By default, applications should assume the sRGB color space. When color equality needs to be decided, implementations, unless documented otherwise, treat two colors as equal if all their red, green, blue, and alpha values each differ by at most 1e-5. Example (Java): import com.google.type.Color; // ... public static java.awt.Color fromProto(Color protocolor) { float alpha = protocolor.hasAlpha() ? protocolor.getAlpha().getValue() : 1.0; return new java.awt.Color( protocolor.getRed(), protocolor.getGreen(), protocolor.getBlue(), alpha); } public static Color toProto(java.awt.Color color) { float red = (float) color.getRed(); float green = (float) color.getGreen(); float blue = (float) color.getBlue(); float denominator = 255.0; Color.Builder resultBuilder = Color .newBuilder() .setRed(red / denominator) .setGreen(green / denominator) .setBlue(blue / denominator); int alpha = color.getAlpha(); if (alpha != 255) { result.setAlpha( FloatValue .newBuilder() .setValue(((float) alpha) / denominator) .build()); } return resultBuilder.build(); } // ... Example (iOS / Obj-C): // ... static UIColor* fromProto(Color* protocolor) { float red = [protocolor red]; float green = [protocolor green]; float blue = [protocolor blue]; FloatValue* alpha_wrapper = [protocolor alpha]; float alpha = 1.0; if (alpha_wrapper != nil) { alpha = [alpha_wrapper value]; } return [UIColor colorWithRed:red green:green blue:blue alpha:alpha]; } static Color* toProto(UIColor* color) { CGFloat red, green, blue, alpha; if (![color getRed:&red green:&green blue:&blue alpha:&alpha]) { return nil; } Color* result = [[Color alloc] init]; [result setRed:red]; [result setGreen:green]; [result setBlue:blue]; if (alpha <= 0.9999) { [result setAlpha:floatWrapperWithValue(alpha)]; } [result autorelease]; return result; } // ... Example (JavaScript): // ... var protoToCssColor = function(rgb_color) { var redFrac = rgb_color.red || 0.0; var greenFrac = rgb_color.green || 0.0; var blueFrac = rgb_color.blue || 0.0; var red = Math.floor(redFrac * 255); var green = Math.floor(greenFrac * 255); var blue = Math.floor(blueFrac * 255); if (!('alpha' in rgb_color)) { return rgbToCssColor(red, green, blue); } var alphaFrac = rgb_color.alpha.value || 0.0; var rgbParams = [red, green, blue].join(','); return ['rgba(', rgbParams, ',', alphaFrac, ')'].join(''); }; var rgbToCssColor = function(red, green, blue) { var rgbNumber = new Number((red << 16) | (green << 8) | blue); var hexString = rgbNumber.toString(16); var missingZeros = 6 - hexString.length; var resultBuilder = ['#']; for (var i = 0; i < missingZeros; i++) { resultBuilder.push('0'); } resultBuilder.push(hexString); return resultBuilder.join(''); }; // ...

pixelFraction? float - The fraction of pixels the color occupies in the image. Value in range [0, 1].

score? float - Image-specific score for this color. Value in range [0, 1].

googleapis.vision: GoogleCloudVisionV1p3beta1CropHint

Single crop hint that is used to generate a new crop when serving an image.

Fields

boundingPoly? GoogleCloudVisionV1p3beta1BoundingPoly - A bounding polygon for the detected image annotation.

confidence? float - Confidence of this being a salient region. Range [0, 1].

importanceFraction? float - Fraction of importance of this salient region with respect to the original image.

googleapis.vision: GoogleCloudVisionV1p3beta1CropHintsAnnotation

Set of crop hints that are used to generate new crops when serving images.

Fields

cropHints? GoogleCloudVisionV1p3beta1CropHint[] - Crop hint results.

googleapis.vision: GoogleCloudVisionV1p3beta1DominantColorsAnnotation

Set of dominant colors and their corresponding scores.

Fields

colors? GoogleCloudVisionV1p3beta1ColorInfo[] - RGB color values with their score and pixel fraction.

googleapis.vision: GoogleCloudVisionV1p3beta1EntityAnnotation

Set of detected entity features.

Fields

boundingPoly? GoogleCloudVisionV1p3beta1BoundingPoly - A bounding polygon for the detected image annotation.

confidence? float - Deprecated. Use score instead. The accuracy of the entity detection in an image. For example, for an image in which the "Eiffel Tower" entity is detected, this field represents the confidence that there is a tower in the query image. Range [0, 1].

description? string - Entity textual description, expressed in its locale language.

locale? string - The language code for the locale in which the entity textual description is expressed.

locations? GoogleCloudVisionV1p3beta1LocationInfo[] - The location information for the detected entity. Multiple LocationInfo elements can be present because one location may indicate the location of the scene in the image, and another location may indicate the location of the place where the image was taken. Location information is usually present for landmarks.

mid? string - Opaque entity ID. Some IDs may be available in Google Knowledge Graph Search API.

properties? GoogleCloudVisionV1p3beta1Property[] - Some entities may have optional user-supplied Property (name/value) fields, such a score or string that qualifies the entity.

score? float - Overall score of the result. Range [0, 1].

topicality? float - The relevancy of the ICA (Image Content Annotation) label to the image. For example, the relevancy of "tower" is likely higher to an image containing the detected "Eiffel Tower" than to an image containing a detected distant towering building, even though the confidence that there is a tower in each image may be the same. Range [0, 1].

googleapis.vision: GoogleCloudVisionV1p3beta1FaceAnnotation

A face annotation object contains the results of face detection.

Fields

angerLikelihood? string - Anger likelihood.

blurredLikelihood? string - Blurred likelihood.

boundingPoly? GoogleCloudVisionV1p3beta1BoundingPoly - A bounding polygon for the detected image annotation.

detectionConfidence? float - Detection confidence. Range [0, 1].

fdBoundingPoly? GoogleCloudVisionV1p3beta1BoundingPoly - A bounding polygon for the detected image annotation.

headwearLikelihood? string - Headwear likelihood.

joyLikelihood? string - Joy likelihood.

landmarkingConfidence? float - Face landmarking confidence. Range [0, 1].

landmarks? GoogleCloudVisionV1p3beta1FaceAnnotationLandmark[] - Detected face landmarks.

panAngle? float - Yaw angle, which indicates the leftward/rightward angle that the face is pointing relative to the vertical plane perpendicular to the image. Range [-180,180].

rollAngle? float - Roll angle, which indicates the amount of clockwise/anti-clockwise rotation of the face relative to the image vertical about the axis perpendicular to the face. Range [-180,180].

sorrowLikelihood? string - Sorrow likelihood.

surpriseLikelihood? string - Surprise likelihood.

tiltAngle? float - Pitch angle, which indicates the upwards/downwards angle that the face is pointing relative to the image's horizontal plane. Range [-180,180].

underExposedLikelihood? string - Under-exposed likelihood.

googleapis.vision: GoogleCloudVisionV1p3beta1FaceAnnotationLandmark

A face-specific landmark (for example, a face feature).

Fields

position? GoogleCloudVisionV1p3beta1Position - A 3D position in the image, used primarily for Face detection landmarks. A valid Position must have both x and y coordinates. The position coordinates are in the same scale as the original image.

'type? string - Face landmark type.

googleapis.vision: GoogleCloudVisionV1p3beta1GcsDestination

The Google Cloud Storage location where the output will be written to.

Fields

uri? string - Google Cloud Storage URI prefix where the results will be stored. Results will be in JSON format and preceded by its corresponding input URI prefix. This field can either represent a gcs file prefix or gcs directory. In either case, the uri should be unique because in order to get all of the output files, you will need to do a wildcard gcs search on the uri prefix you provide. Examples: * File Prefix: gs://bucket-name/here/filenameprefix The output files will be created in gs://bucket-name/here/ and the names of the output files will begin with "filenameprefix". * Directory Prefix: gs://bucket-name/some/location/ The output files will be created in gs://bucket-name/some/location/ and the names of the output files could be anything because there was no filename prefix specified. If multiple outputs, each response is still AnnotateFileResponse, each of which contains some subset of the full list of AnnotateImageResponse. Multiple outputs can happen if, for example, the output JSON is too large and overflows into multiple sharded files.

googleapis.vision: GoogleCloudVisionV1p3beta1GcsSource

The Google Cloud Storage location where the input will be read from.

Fields

uri? string - Google Cloud Storage URI for the input file. This must only be a Google Cloud Storage object. Wildcards are not currently supported.

googleapis.vision: GoogleCloudVisionV1p3beta1ImageAnnotationContext

If an image was produced from a file (e.g. a PDF), this message gives information about the source of that image.

Fields

pageNumber? int - If the file was a PDF or TIFF, this field gives the page number within the file used to produce the image.

uri? string - The URI of the file used to produce the image.

googleapis.vision: GoogleCloudVisionV1p3beta1ImageProperties

Stores image properties, such as dominant colors.

Fields

dominantColors? GoogleCloudVisionV1p3beta1DominantColorsAnnotation - Set of dominant colors and their corresponding scores.

googleapis.vision: GoogleCloudVisionV1p3beta1ImportProductSetsResponse

Response message for the ImportProductSets method. This message is returned by the google.longrunning.Operations.GetOperation method in the returned google.longrunning.Operation.response field.

Fields

referenceImages? GoogleCloudVisionV1p3beta1ReferenceImage[] - The list of reference_images that are imported successfully.

statuses? Status[] - The rpc status for each ImportProductSet request, including both successes and errors. The number of statuses here matches the number of lines in the csv file, and statuses[i] stores the success or failure status of processing the i-th line of the csv, starting from line 0.

googleapis.vision: GoogleCloudVisionV1p3beta1InputConfig

The desired input location and metadata.

Fields

content? string - File content, represented as a stream of bytes. Note: As with all bytes fields, protobuffers use a pure binary representation, whereas JSON representations use base64. Currently, this field only works for BatchAnnotateFiles requests. It does not work for AsyncBatchAnnotateFiles requests.

gcsSource? GoogleCloudVisionV1p3beta1GcsSource - The Google Cloud Storage location where the input will be read from.

mimeType? string - The type of the file. Currently only "application/pdf", "image/tiff" and "image/gif" are supported. Wildcards are not supported.

googleapis.vision: GoogleCloudVisionV1p3beta1LocalizedObjectAnnotation

Set of detected objects with bounding boxes.

Fields

boundingPoly? GoogleCloudVisionV1p3beta1BoundingPoly - A bounding polygon for the detected image annotation.

languageCode? string - The BCP-47 language code, such as "en-US" or "sr-Latn". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.

mid? string - Object ID that should align with EntityAnnotation mid.

name? string - Object name, expressed in its language_code language.

score? float - Score of the result. Range [0, 1].

googleapis.vision: GoogleCloudVisionV1p3beta1LocationInfo

Detected entity location information.

Fields

latLng? LatLng - An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this object must conform to the WGS84 standard. Values must be within normalized ranges.

googleapis.vision: GoogleCloudVisionV1p3beta1NormalizedVertex

A vertex represents a 2D point in the image. NOTE: the normalized vertex coordinates are relative to the original image and range from 0 to 1.

Fields

x? float - X coordinate.

y? float - Y coordinate.

googleapis.vision: GoogleCloudVisionV1p3beta1OperationMetadata

Contains metadata for the BatchAnnotateImages operation.

Fields

createTime? string - The time when the batch request was received.

state? string - Current state of the batch operation.

updateTime? string - The time when the operation result was last updated.

googleapis.vision: GoogleCloudVisionV1p3beta1OutputConfig

The desired output location and metadata.

Fields

batchSize? int - The max number of response protos to put into each output JSON file on Google Cloud Storage. The valid range is [1, 100]. If not specified, the default value is 20. For example, for one pdf file with 100 pages, 100 response protos will be generated. If batch_size = 20, then 5 json files each containing 20 response protos will be written under the prefix gcs_destination.uri. Currently, batch_size only applies to GcsDestination, with potential future support for other output configurations.

gcsDestination? GoogleCloudVisionV1p3beta1GcsDestination - The Google Cloud Storage location where the output will be written to.

googleapis.vision: GoogleCloudVisionV1p3beta1Page

Detected page from OCR.

Fields

blocks? GoogleCloudVisionV1p3beta1Block[] - List of blocks of text, images etc on this page.

confidence? float - Confidence of the OCR results on the page. Range [0, 1].

height? int - Page height. For PDFs the unit is points. For images (including TIFFs) the unit is pixels.

property? GoogleCloudVisionV1p3beta1TextAnnotationTextProperty - Additional information detected on the structural component.

width? int - Page width. For PDFs the unit is points. For images (including TIFFs) the unit is pixels.

googleapis.vision: GoogleCloudVisionV1p3beta1Paragraph

Structural unit of text representing a number of words in certain order.

Fields

boundingBox? GoogleCloudVisionV1p3beta1BoundingPoly - A bounding polygon for the detected image annotation.

confidence? float - Confidence of the OCR results for the paragraph. Range [0, 1].

property? GoogleCloudVisionV1p3beta1TextAnnotationTextProperty - Additional information detected on the structural component.

words? GoogleCloudVisionV1p3beta1Word[] - List of all words in this paragraph.

googleapis.vision: GoogleCloudVisionV1p3beta1Position

A 3D position in the image, used primarily for Face detection landmarks. A valid Position must have both x and y coordinates. The position coordinates are in the same scale as the original image.

Fields

x? float - X coordinate.

y? float - Y coordinate.

z? float - Z coordinate (or depth).

googleapis.vision: GoogleCloudVisionV1p3beta1Product

A Product contains ReferenceImages.

Fields

description? string - User-provided metadata to be stored with this product. Must be at most 4096 characters long.

displayName? string - The user-provided name for this Product. Must not be empty. Must be at most 4096 characters long.

name? string - The resource name of the product. Format is: projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID. This field is ignored when creating a product.

productCategory? string - Immutable. The category for the product identified by the reference image. This should be one of "homegoods-v2", "apparel-v2", "toys-v2", "packagedgoods-v1" or "general-v1". The legacy categories "homegoods", "apparel", and "toys" are still supported, but these should not be used for new products.

productLabels? GoogleCloudVisionV1p3beta1ProductKeyValue[] - Key-value pairs that can be attached to a product. At query time, constraints can be specified based on the product_labels. Note that integer values can be provided as strings, e.g. "1199". Only strings with integer values can match a range-based restriction which is to be supported soon. Multiple values can be assigned to the same key. One product may have up to 500 product_labels. Notice that the total number of distinct product_labels over all products in one ProductSet cannot exceed 1M, otherwise the product search pipeline will refuse to work for that ProductSet.

googleapis.vision: GoogleCloudVisionV1p3beta1ProductKeyValue

A product label represented as a key-value pair.

Fields

'key? string - The key of the label attached to the product. Cannot be empty and cannot exceed 128 bytes.

value? string - The value of the label attached to the product. Cannot be empty and cannot exceed 128 bytes.

googleapis.vision: GoogleCloudVisionV1p3beta1ProductSearchResults

Results for a product search request.

Fields

indexTime? string - Timestamp of the index which provided these results. Products added to the product set and products removed from the product set after this time are not reflected in the current results.

productGroupedResults? GoogleCloudVisionV1p3beta1ProductSearchResultsGroupedResult[] - List of results grouped by products detected in the query image. Each entry corresponds to one bounding polygon in the query image, and contains the matching products specific to that region. There may be duplicate product matches in the union of all the per-product results.

results? GoogleCloudVisionV1p3beta1ProductSearchResultsResult[] - List of results, one for each product match.

googleapis.vision: GoogleCloudVisionV1p3beta1ProductSearchResultsGroupedResult

Information about the products similar to a single product in a query image.

Fields

boundingPoly? GoogleCloudVisionV1p3beta1BoundingPoly - A bounding polygon for the detected image annotation.

objectAnnotations? GoogleCloudVisionV1p3beta1ProductSearchResultsObjectAnnotation[] - List of generic predictions for the object in the bounding box.

results? GoogleCloudVisionV1p3beta1ProductSearchResultsResult[] - List of results, one for each product match.

googleapis.vision: GoogleCloudVisionV1p3beta1ProductSearchResultsObjectAnnotation

Prediction for what the object in the bounding box is.

Fields

languageCode? string - The BCP-47 language code, such as "en-US" or "sr-Latn". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.

mid? string - Object ID that should align with EntityAnnotation mid.

name? string - Object name, expressed in its language_code language.

score? float - Score of the result. Range [0, 1].

googleapis.vision: GoogleCloudVisionV1p3beta1ProductSearchResultsResult

Information about a product.

Fields

image? string - The resource name of the image from the product that is the closest match to the query.

product? GoogleCloudVisionV1p3beta1Product - A Product contains ReferenceImages.

score? float - A confidence level on the match, ranging from 0 (no confidence) to 1 (full confidence).

googleapis.vision: GoogleCloudVisionV1p3beta1Property

A Property consists of a user-supplied name/value pair.

Fields

name? string - Name of the property.

uint64Value? string - Value of numeric properties.

value? string - Value of the property.

googleapis.vision: GoogleCloudVisionV1p3beta1ReferenceImage

A ReferenceImage represents a product image and its associated metadata, such as bounding boxes.

Fields

boundingPolys? GoogleCloudVisionV1p3beta1BoundingPoly[] - Optional. Bounding polygons around the areas of interest in the reference image. If this field is empty, the system will try to detect regions of interest. At most 10 bounding polygons will be used. The provided shape is converted into a non-rotated rectangle. Once converted, the small edge of the rectangle must be greater than or equal to 300 pixels. The aspect ratio must be 1:4 or less (i.e. 1:3 is ok; 1:5 is not).

name? string - The resource name of the reference image. Format is: projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID/referenceImages/IMAGE_ID. This field is ignored when creating a reference image.

uri? string - Required. The Google Cloud Storage URI of the reference image. The URI must start with gs://.

googleapis.vision: GoogleCloudVisionV1p3beta1SafeSearchAnnotation

Set of features pertaining to the image, computed by computer vision methods over safe-search verticals (for example, adult, spoof, medical, violence).

Fields

adult? string - Represents the adult content likelihood for the image. Adult content may contain elements such as nudity, pornographic images or cartoons, or sexual activities.

medical? string - Likelihood that this is a medical image.

racy? string - Likelihood that the request image contains racy content. Racy content may include (but is not limited to) skimpy or sheer clothing, strategically covered nudity, lewd or provocative poses, or close-ups of sensitive body areas.

spoof? string - Spoof likelihood. The likelihood that an modification was made to the image's canonical version to make it appear funny or offensive.

violence? string - Likelihood that this image contains violent content.

googleapis.vision: GoogleCloudVisionV1p3beta1Symbol

A single symbol representation.

Fields

boundingBox? GoogleCloudVisionV1p3beta1BoundingPoly - A bounding polygon for the detected image annotation.

confidence? float - Confidence of the OCR results for the symbol. Range [0, 1].

property? GoogleCloudVisionV1p3beta1TextAnnotationTextProperty - Additional information detected on the structural component.

text? string - The actual UTF-8 representation of the symbol.

googleapis.vision: GoogleCloudVisionV1p3beta1TextAnnotation

Fields

pages? GoogleCloudVisionV1p3beta1Page[] - List of pages detected by OCR.

text? string - UTF-8 text detected on the pages.

googleapis.vision: GoogleCloudVisionV1p3beta1TextAnnotationDetectedBreak

Detected start or end of a structural component.

Fields

isPrefix? boolean - True if break prepends the element.

'type? string - Detected break type.

googleapis.vision: GoogleCloudVisionV1p3beta1TextAnnotationDetectedLanguage

Detected language for a structural component.

Fields

confidence? float - Confidence of detected language. Range [0, 1].

languageCode? string - The BCP-47 language code, such as "en-US" or "sr-Latn". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.

googleapis.vision: GoogleCloudVisionV1p3beta1TextAnnotationTextProperty

Additional information detected on the structural component.

Fields

detectedBreak? GoogleCloudVisionV1p3beta1TextAnnotationDetectedBreak - Detected start or end of a structural component.

detectedLanguages? GoogleCloudVisionV1p3beta1TextAnnotationDetectedLanguage[] - A list of detected languages together with confidence.

googleapis.vision: GoogleCloudVisionV1p3beta1Vertex

A vertex represents a 2D point in the image. NOTE: the vertex coordinates are in the same scale as the original image.

Fields

x? int - X coordinate.

y? int - Y coordinate.

googleapis.vision: GoogleCloudVisionV1p3beta1WebDetection

Relevant information for the image from the Internet.

Fields

bestGuessLabels? GoogleCloudVisionV1p3beta1WebDetectionWebLabel[] - The service's best guess as to the topic of the request image. Inferred from similar images on the open web.

fullMatchingImages? GoogleCloudVisionV1p3beta1WebDetectionWebImage[] - Fully matching images from the Internet. Can include resized copies of the query image.

pagesWithMatchingImages? GoogleCloudVisionV1p3beta1WebDetectionWebPage[] - Web pages containing the matching images from the Internet.

partialMatchingImages? GoogleCloudVisionV1p3beta1WebDetectionWebImage[] - Partial matching images from the Internet. Those images are similar enough to share some key-point features. For example an original image will likely have partial matching for its crops.

visuallySimilarImages? GoogleCloudVisionV1p3beta1WebDetectionWebImage[] - The visually similar image results.

webEntities? GoogleCloudVisionV1p3beta1WebDetectionWebEntity[] - Deduced entities from similar images on the Internet.

googleapis.vision: GoogleCloudVisionV1p3beta1WebDetectionWebEntity

Entity deduced from similar images on the Internet.

Fields

description? string - Canonical description of the entity, in English.

entityId? string - Opaque entity ID.

score? float - Overall relevancy score for the entity. Not normalized and not comparable across different image queries.

googleapis.vision: GoogleCloudVisionV1p3beta1WebDetectionWebImage

Metadata for online images.

Fields

score? float - (Deprecated) Overall relevancy score for the image.

url? string - The result image URL.

googleapis.vision: GoogleCloudVisionV1p3beta1WebDetectionWebLabel

Label to provide extra metadata for the web detection.

Fields

label? string - Label for extra metadata.

languageCode? string - The BCP-47 language code for label, such as "en-US" or "sr-Latn". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.

googleapis.vision: GoogleCloudVisionV1p3beta1WebDetectionWebPage

Metadata for web pages.

Fields

fullMatchingImages? GoogleCloudVisionV1p3beta1WebDetectionWebImage[] - Fully matching images on the page. Can include resized copies of the query image.

pageTitle? string - Title for the web page, may contain HTML markups.

partialMatchingImages? GoogleCloudVisionV1p3beta1WebDetectionWebImage[] - Partial matching images on the page. Those images are similar enough to share some key-point features. For example an original image will likely have partial matching for its crops.

score? float - (Deprecated) Overall relevancy score for the web page.

url? string - The result web page URL.

googleapis.vision: GoogleCloudVisionV1p3beta1Word

A word representation.

Fields

boundingBox? GoogleCloudVisionV1p3beta1BoundingPoly - A bounding polygon for the detected image annotation.

confidence? float - Confidence of the OCR results for the word. Range [0, 1].

property? GoogleCloudVisionV1p3beta1TextAnnotationTextProperty - Additional information detected on the structural component.

symbols? GoogleCloudVisionV1p3beta1Symbol[] - List of symbols in the word. The order of the symbols follows the natural reading order.

googleapis.vision: GoogleCloudVisionV1p4beta1AnnotateFileResponse

Response to a single file annotation request. A file may contain one or more images, which individually have their own responses.

Fields

'error? Status - The Status type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by gRPC. Each Status message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the API Design Guide.

inputConfig? GoogleCloudVisionV1p4beta1InputConfig - The desired input location and metadata.

responses? GoogleCloudVisionV1p4beta1AnnotateImageResponse[] - Individual responses to images found within the file. This field will be empty if the error field is set.

totalPages? int - This field gives the total number of pages in the file.

googleapis.vision: GoogleCloudVisionV1p4beta1AnnotateImageResponse

Response to an image annotation request.

Fields

context? GoogleCloudVisionV1p4beta1ImageAnnotationContext - If an image was produced from a file (e.g. a PDF), this message gives information about the source of that image.

cropHintsAnnotation? GoogleCloudVisionV1p4beta1CropHintsAnnotation - Set of crop hints that are used to generate new crops when serving images.

'error? Status - The Status type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by gRPC. Each Status message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the API Design Guide.

faceAnnotations? GoogleCloudVisionV1p4beta1FaceAnnotation[] - If present, face detection has completed successfully.

fullTextAnnotation? GoogleCloudVisionV1p4beta1TextAnnotation - TextAnnotation contains a structured representation of OCR extracted text. The hierarchy of an OCR extracted text structure is like this: TextAnnotation -> Page -> Block -> Paragraph -> Word -> Symbol Each structural component, starting from Page, may further have their own properties. Properties describe detected languages, breaks etc.. Please refer to the TextAnnotation.TextProperty message definition below for more detail.

imagePropertiesAnnotation? GoogleCloudVisionV1p4beta1ImageProperties - Stores image properties, such as dominant colors.

labelAnnotations? GoogleCloudVisionV1p4beta1EntityAnnotation[] - If present, label detection has completed successfully.

landmarkAnnotations? GoogleCloudVisionV1p4beta1EntityAnnotation[] - If present, landmark detection has completed successfully.

localizedObjectAnnotations? GoogleCloudVisionV1p4beta1LocalizedObjectAnnotation[] - If present, localized object detection has completed successfully. This will be sorted descending by confidence score.

logoAnnotations? GoogleCloudVisionV1p4beta1EntityAnnotation[] - If present, logo detection has completed successfully.

productSearchResults? GoogleCloudVisionV1p4beta1ProductSearchResults - Results for a product search request.

safeSearchAnnotation? GoogleCloudVisionV1p4beta1SafeSearchAnnotation - Set of features pertaining to the image, computed by computer vision methods over safe-search verticals (for example, adult, spoof, medical, violence).

textAnnotations? GoogleCloudVisionV1p4beta1EntityAnnotation[] - If present, text (OCR) detection has completed successfully.

webDetection? GoogleCloudVisionV1p4beta1WebDetection - Relevant information for the image from the Internet.

googleapis.vision: GoogleCloudVisionV1p4beta1AsyncAnnotateFileResponse

The response for a single offline file annotation request.

Fields

outputConfig? GoogleCloudVisionV1p4beta1OutputConfig - The desired output location and metadata.

googleapis.vision: GoogleCloudVisionV1p4beta1AsyncBatchAnnotateFilesResponse

Response to an async batch file annotation request.

Fields

responses? GoogleCloudVisionV1p4beta1AsyncAnnotateFileResponse[] - The list of file annotation responses, one for each request in AsyncBatchAnnotateFilesRequest.

googleapis.vision: GoogleCloudVisionV1p4beta1AsyncBatchAnnotateImagesResponse

Response to an async batch image annotation request.

Fields

outputConfig? GoogleCloudVisionV1p4beta1OutputConfig - The desired output location and metadata.

googleapis.vision: GoogleCloudVisionV1p4beta1BatchAnnotateFilesResponse

A list of file annotation responses.

Fields

responses? GoogleCloudVisionV1p4beta1AnnotateFileResponse[] - The list of file annotation responses, each response corresponding to each AnnotateFileRequest in BatchAnnotateFilesRequest.

googleapis.vision: GoogleCloudVisionV1p4beta1BatchOperationMetadata

Fields

endTime? string - The time when the batch request is finished and google.longrunning.Operation.done is set to true.

state? string - The current state of the batch operation.

submitTime? string - The time when the batch request was submitted to the server.

googleapis.vision: GoogleCloudVisionV1p4beta1Block

Logical element on the page.

Fields

blockType? string - Detected block type (text, image etc) for this block.

boundingBox? GoogleCloudVisionV1p4beta1BoundingPoly - A bounding polygon for the detected image annotation.

confidence? float - Confidence of the OCR results on the block. Range [0, 1].

paragraphs? GoogleCloudVisionV1p4beta1Paragraph[] - List of paragraphs in this block (if this blocks is of type text).

property? GoogleCloudVisionV1p4beta1TextAnnotationTextProperty - Additional information detected on the structural component.

googleapis.vision: GoogleCloudVisionV1p4beta1BoundingPoly

A bounding polygon for the detected image annotation.

Fields

normalizedVertices? GoogleCloudVisionV1p4beta1NormalizedVertex[] - The bounding polygon normalized vertices.

vertices? GoogleCloudVisionV1p4beta1Vertex[] - The bounding polygon vertices.

googleapis.vision: GoogleCloudVisionV1p4beta1Celebrity

A Celebrity is a group of Faces with an identity.

Fields

description? string - The Celebrity's description.

displayName? string - The Celebrity's display name.

name? string - The resource name of the preloaded Celebrity. Has the format builtin/{mid}.

googleapis.vision: GoogleCloudVisionV1p4beta1ColorInfo

Color information consists of RGB channels, score, and the fraction of the image that the color occupies in the image.

Fields

color? Color - Represents a color in the RGBA color space. This representation is designed for simplicity of conversion to/from color representations in various languages over compactness. For example, the fields of this representation can be trivially provided to the constructor of java.awt.Color in Java; it can also be trivially provided to UIColor's +colorWithRed:green:blue:alpha method in iOS; and, with just a little work, it can be easily formatted into a CSS rgba() string in JavaScript. This reference page doesn't carry information about the absolute color space that should be used to interpret the RGB value (e.g. sRGB, Adobe RGB, DCI-P3, BT.2020, etc.). By default, applications should assume the sRGB color space. When color equality needs to be decided, implementations, unless documented otherwise, treat two colors as equal if all their red, green, blue, and alpha values each differ by at most 1e-5. Example (Java): import com.google.type.Color; // ... public static java.awt.Color fromProto(Color protocolor) { float alpha = protocolor.hasAlpha() ? protocolor.getAlpha().getValue() : 1.0; return new java.awt.Color( protocolor.getRed(), protocolor.getGreen(), protocolor.getBlue(), alpha); } public static Color toProto(java.awt.Color color) { float red = (float) color.getRed(); float green = (float) color.getGreen(); float blue = (float) color.getBlue(); float denominator = 255.0; Color.Builder resultBuilder = Color .newBuilder() .setRed(red / denominator) .setGreen(green / denominator) .setBlue(blue / denominator); int alpha = color.getAlpha(); if (alpha != 255) { result.setAlpha( FloatValue .newBuilder() .setValue(((float) alpha) / denominator) .build()); } return resultBuilder.build(); } // ... Example (iOS / Obj-C): // ... static UIColor* fromProto(Color* protocolor) { float red = [protocolor red]; float green = [protocolor green]; float blue = [protocolor blue]; FloatValue* alpha_wrapper = [protocolor alpha]; float alpha = 1.0; if (alpha_wrapper != nil) { alpha = [alpha_wrapper value]; } return [UIColor colorWithRed:red green:green blue:blue alpha:alpha]; } static Color* toProto(UIColor* color) { CGFloat red, green, blue, alpha; if (![color getRed:&red green:&green blue:&blue alpha:&alpha]) { return nil; } Color* result = [[Color alloc] init]; [result setRed:red]; [result setGreen:green]; [result setBlue:blue]; if (alpha <= 0.9999) { [result setAlpha:floatWrapperWithValue(alpha)]; } [result autorelease]; return result; } // ... Example (JavaScript): // ... var protoToCssColor = function(rgb_color) { var redFrac = rgb_color.red || 0.0; var greenFrac = rgb_color.green || 0.0; var blueFrac = rgb_color.blue || 0.0; var red = Math.floor(redFrac * 255); var green = Math.floor(greenFrac * 255); var blue = Math.floor(blueFrac * 255); if (!('alpha' in rgb_color)) { return rgbToCssColor(red, green, blue); } var alphaFrac = rgb_color.alpha.value || 0.0; var rgbParams = [red, green, blue].join(','); return ['rgba(', rgbParams, ',', alphaFrac, ')'].join(''); }; var rgbToCssColor = function(red, green, blue) { var rgbNumber = new Number((red << 16) | (green << 8) | blue); var hexString = rgbNumber.toString(16); var missingZeros = 6 - hexString.length; var resultBuilder = ['#']; for (var i = 0; i < missingZeros; i++) { resultBuilder.push('0'); } resultBuilder.push(hexString); return resultBuilder.join(''); }; // ...

pixelFraction? float - The fraction of pixels the color occupies in the image. Value in range [0, 1].

score? float - Image-specific score for this color. Value in range [0, 1].

googleapis.vision: GoogleCloudVisionV1p4beta1CropHint

Single crop hint that is used to generate a new crop when serving an image.

Fields

boundingPoly? GoogleCloudVisionV1p4beta1BoundingPoly - A bounding polygon for the detected image annotation.

confidence? float - Confidence of this being a salient region. Range [0, 1].

importanceFraction? float - Fraction of importance of this salient region with respect to the original image.

googleapis.vision: GoogleCloudVisionV1p4beta1CropHintsAnnotation

Set of crop hints that are used to generate new crops when serving images.

Fields

cropHints? GoogleCloudVisionV1p4beta1CropHint[] - Crop hint results.

googleapis.vision: GoogleCloudVisionV1p4beta1DominantColorsAnnotation

Set of dominant colors and their corresponding scores.

Fields

colors? GoogleCloudVisionV1p4beta1ColorInfo[] - RGB color values with their score and pixel fraction.

googleapis.vision: GoogleCloudVisionV1p4beta1EntityAnnotation

Set of detected entity features.

Fields

boundingPoly? GoogleCloudVisionV1p4beta1BoundingPoly - A bounding polygon for the detected image annotation.

confidence? float - Deprecated. Use score instead. The accuracy of the entity detection in an image. For example, for an image in which the "Eiffel Tower" entity is detected, this field represents the confidence that there is a tower in the query image. Range [0, 1].

description? string - Entity textual description, expressed in its locale language.

locale? string - The language code for the locale in which the entity textual description is expressed.

locations? GoogleCloudVisionV1p4beta1LocationInfo[] - The location information for the detected entity. Multiple LocationInfo elements can be present because one location may indicate the location of the scene in the image, and another location may indicate the location of the place where the image was taken. Location information is usually present for landmarks.

mid? string - Opaque entity ID. Some IDs may be available in Google Knowledge Graph Search API.

properties? GoogleCloudVisionV1p4beta1Property[] - Some entities may have optional user-supplied Property (name/value) fields, such a score or string that qualifies the entity.

score? float - Overall score of the result. Range [0, 1].

topicality? float - The relevancy of the ICA (Image Content Annotation) label to the image. For example, the relevancy of "tower" is likely higher to an image containing the detected "Eiffel Tower" than to an image containing a detected distant towering building, even though the confidence that there is a tower in each image may be the same. Range [0, 1].

googleapis.vision: GoogleCloudVisionV1p4beta1FaceAnnotation

A face annotation object contains the results of face detection.

Fields

angerLikelihood? string - Anger likelihood.

blurredLikelihood? string - Blurred likelihood.

boundingPoly? GoogleCloudVisionV1p4beta1BoundingPoly - A bounding polygon for the detected image annotation.

detectionConfidence? float - Detection confidence. Range [0, 1].

fdBoundingPoly? GoogleCloudVisionV1p4beta1BoundingPoly - A bounding polygon for the detected image annotation.

headwearLikelihood? string - Headwear likelihood.

joyLikelihood? string - Joy likelihood.

landmarkingConfidence? float - Face landmarking confidence. Range [0, 1].

landmarks? GoogleCloudVisionV1p4beta1FaceAnnotationLandmark[] - Detected face landmarks.

panAngle? float - Yaw angle, which indicates the leftward/rightward angle that the face is pointing relative to the vertical plane perpendicular to the image. Range [-180,180].

recognitionResult? GoogleCloudVisionV1p4beta1FaceRecognitionResult[] - Additional recognition information. Only computed if image_context.face_recognition_params is provided, and a match is found to a Celebrity in the input CelebritySet. This field is sorted in order of decreasing confidence values.

rollAngle? float - Roll angle, which indicates the amount of clockwise/anti-clockwise rotation of the face relative to the image vertical about the axis perpendicular to the face. Range [-180,180].

sorrowLikelihood? string - Sorrow likelihood.

surpriseLikelihood? string - Surprise likelihood.

tiltAngle? float - Pitch angle, which indicates the upwards/downwards angle that the face is pointing relative to the image's horizontal plane. Range [-180,180].

underExposedLikelihood? string - Under-exposed likelihood.

googleapis.vision: GoogleCloudVisionV1p4beta1FaceAnnotationLandmark

A face-specific landmark (for example, a face feature).

Fields

position? GoogleCloudVisionV1p4beta1Position - A 3D position in the image, used primarily for Face detection landmarks. A valid Position must have both x and y coordinates. The position coordinates are in the same scale as the original image.

'type? string - Face landmark type.

googleapis.vision: GoogleCloudVisionV1p4beta1FaceRecognitionResult

Information about a face's identity.

Fields

celebrity? GoogleCloudVisionV1p4beta1Celebrity - A Celebrity is a group of Faces with an identity.

confidence? float - Recognition confidence. Range [0, 1].

googleapis.vision: GoogleCloudVisionV1p4beta1GcsDestination

The Google Cloud Storage location where the output will be written to.

Fields

uri? string - Google Cloud Storage URI prefix where the results will be stored. Results will be in JSON format and preceded by its corresponding input URI prefix. This field can either represent a gcs file prefix or gcs directory. In either case, the uri should be unique because in order to get all of the output files, you will need to do a wildcard gcs search on the uri prefix you provide. Examples: * File Prefix: gs://bucket-name/here/filenameprefix The output files will be created in gs://bucket-name/here/ and the names of the output files will begin with "filenameprefix". * Directory Prefix: gs://bucket-name/some/location/ The output files will be created in gs://bucket-name/some/location/ and the names of the output files could be anything because there was no filename prefix specified. If multiple outputs, each response is still AnnotateFileResponse, each of which contains some subset of the full list of AnnotateImageResponse. Multiple outputs can happen if, for example, the output JSON is too large and overflows into multiple sharded files.

googleapis.vision: GoogleCloudVisionV1p4beta1GcsSource

The Google Cloud Storage location where the input will be read from.

Fields

uri? string - Google Cloud Storage URI for the input file. This must only be a Google Cloud Storage object. Wildcards are not currently supported.

googleapis.vision: GoogleCloudVisionV1p4beta1ImageAnnotationContext

If an image was produced from a file (e.g. a PDF), this message gives information about the source of that image.

Fields

pageNumber? int - If the file was a PDF or TIFF, this field gives the page number within the file used to produce the image.

uri? string - The URI of the file used to produce the image.

googleapis.vision: GoogleCloudVisionV1p4beta1ImageProperties

Stores image properties, such as dominant colors.

Fields

dominantColors? GoogleCloudVisionV1p4beta1DominantColorsAnnotation - Set of dominant colors and their corresponding scores.

googleapis.vision: GoogleCloudVisionV1p4beta1ImportProductSetsResponse

Response message for the ImportProductSets method. This message is returned by the google.longrunning.Operations.GetOperation method in the returned google.longrunning.Operation.response field.

Fields

referenceImages? GoogleCloudVisionV1p4beta1ReferenceImage[] - The list of reference_images that are imported successfully.

statuses? Status[] - The rpc status for each ImportProductSet request, including both successes and errors. The number of statuses here matches the number of lines in the csv file, and statuses[i] stores the success or failure status of processing the i-th line of the csv, starting from line 0.

googleapis.vision: GoogleCloudVisionV1p4beta1InputConfig

The desired input location and metadata.

Fields

content? string - File content, represented as a stream of bytes. Note: As with all bytes fields, protobuffers use a pure binary representation, whereas JSON representations use base64. Currently, this field only works for BatchAnnotateFiles requests. It does not work for AsyncBatchAnnotateFiles requests.

gcsSource? GoogleCloudVisionV1p4beta1GcsSource - The Google Cloud Storage location where the input will be read from.

mimeType? string - The type of the file. Currently only "application/pdf", "image/tiff" and "image/gif" are supported. Wildcards are not supported.

googleapis.vision: GoogleCloudVisionV1p4beta1LocalizedObjectAnnotation

Set of detected objects with bounding boxes.

Fields

boundingPoly? GoogleCloudVisionV1p4beta1BoundingPoly - A bounding polygon for the detected image annotation.

languageCode? string - The BCP-47 language code, such as "en-US" or "sr-Latn". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.

mid? string - Object ID that should align with EntityAnnotation mid.

name? string - Object name, expressed in its language_code language.

score? float - Score of the result. Range [0, 1].

googleapis.vision: GoogleCloudVisionV1p4beta1LocationInfo

Detected entity location information.

Fields

latLng? LatLng - An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this object must conform to the WGS84 standard. Values must be within normalized ranges.

googleapis.vision: GoogleCloudVisionV1p4beta1NormalizedVertex

A vertex represents a 2D point in the image. NOTE: the normalized vertex coordinates are relative to the original image and range from 0 to 1.

Fields

x? float - X coordinate.

y? float - Y coordinate.

googleapis.vision: GoogleCloudVisionV1p4beta1OperationMetadata

Contains metadata for the BatchAnnotateImages operation.

Fields

createTime? string - The time when the batch request was received.

state? string - Current state of the batch operation.

updateTime? string - The time when the operation result was last updated.

googleapis.vision: GoogleCloudVisionV1p4beta1OutputConfig

The desired output location and metadata.

Fields

batchSize? int - The max number of response protos to put into each output JSON file on Google Cloud Storage. The valid range is [1, 100]. If not specified, the default value is 20. For example, for one pdf file with 100 pages, 100 response protos will be generated. If batch_size = 20, then 5 json files each containing 20 response protos will be written under the prefix gcs_destination.uri. Currently, batch_size only applies to GcsDestination, with potential future support for other output configurations.

gcsDestination? GoogleCloudVisionV1p4beta1GcsDestination - The Google Cloud Storage location where the output will be written to.

googleapis.vision: GoogleCloudVisionV1p4beta1Page

Detected page from OCR.

Fields

blocks? GoogleCloudVisionV1p4beta1Block[] - List of blocks of text, images etc on this page.

confidence? float - Confidence of the OCR results on the page. Range [0, 1].

height? int - Page height. For PDFs the unit is points. For images (including TIFFs) the unit is pixels.

property? GoogleCloudVisionV1p4beta1TextAnnotationTextProperty - Additional information detected on the structural component.

width? int - Page width. For PDFs the unit is points. For images (including TIFFs) the unit is pixels.

googleapis.vision: GoogleCloudVisionV1p4beta1Paragraph

Structural unit of text representing a number of words in certain order.

Fields

boundingBox? GoogleCloudVisionV1p4beta1BoundingPoly - A bounding polygon for the detected image annotation.

confidence? float - Confidence of the OCR results for the paragraph. Range [0, 1].

property? GoogleCloudVisionV1p4beta1TextAnnotationTextProperty - Additional information detected on the structural component.

words? GoogleCloudVisionV1p4beta1Word[] - List of all words in this paragraph.

googleapis.vision: GoogleCloudVisionV1p4beta1Position

A 3D position in the image, used primarily for Face detection landmarks. A valid Position must have both x and y coordinates. The position coordinates are in the same scale as the original image.

Fields

x? float - X coordinate.

y? float - Y coordinate.

z? float - Z coordinate (or depth).

googleapis.vision: GoogleCloudVisionV1p4beta1Product

A Product contains ReferenceImages.

Fields

description? string - User-provided metadata to be stored with this product. Must be at most 4096 characters long.

displayName? string - The user-provided name for this Product. Must not be empty. Must be at most 4096 characters long.

name? string - The resource name of the product. Format is: projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID. This field is ignored when creating a product.

productCategory? string - Immutable. The category for the product identified by the reference image. This should be one of "homegoods-v2", "apparel-v2", "toys-v2", "packagedgoods-v1" or "general-v1". The legacy categories "homegoods", "apparel", and "toys" are still supported, but these should not be used for new products.

productLabels? GoogleCloudVisionV1p4beta1ProductKeyValue[] - Key-value pairs that can be attached to a product. At query time, constraints can be specified based on the product_labels. Note that integer values can be provided as strings, e.g. "1199". Only strings with integer values can match a range-based restriction which is to be supported soon. Multiple values can be assigned to the same key. One product may have up to 500 product_labels. Notice that the total number of distinct product_labels over all products in one ProductSet cannot exceed 1M, otherwise the product search pipeline will refuse to work for that ProductSet.

googleapis.vision: GoogleCloudVisionV1p4beta1ProductKeyValue

A product label represented as a key-value pair.

Fields

'key? string - The key of the label attached to the product. Cannot be empty and cannot exceed 128 bytes.

value? string - The value of the label attached to the product. Cannot be empty and cannot exceed 128 bytes.

googleapis.vision: GoogleCloudVisionV1p4beta1ProductSearchResults

Results for a product search request.

Fields

indexTime? string - Timestamp of the index which provided these results. Products added to the product set and products removed from the product set after this time are not reflected in the current results.

productGroupedResults? GoogleCloudVisionV1p4beta1ProductSearchResultsGroupedResult[] - List of results grouped by products detected in the query image. Each entry corresponds to one bounding polygon in the query image, and contains the matching products specific to that region. There may be duplicate product matches in the union of all the per-product results.

results? GoogleCloudVisionV1p4beta1ProductSearchResultsResult[] - List of results, one for each product match.

googleapis.vision: GoogleCloudVisionV1p4beta1ProductSearchResultsGroupedResult

Information about the products similar to a single product in a query image.

Fields

boundingPoly? GoogleCloudVisionV1p4beta1BoundingPoly - A bounding polygon for the detected image annotation.

objectAnnotations? GoogleCloudVisionV1p4beta1ProductSearchResultsObjectAnnotation[] - List of generic predictions for the object in the bounding box.

results? GoogleCloudVisionV1p4beta1ProductSearchResultsResult[] - List of results, one for each product match.

googleapis.vision: GoogleCloudVisionV1p4beta1ProductSearchResultsObjectAnnotation

Prediction for what the object in the bounding box is.

Fields

languageCode? string - The BCP-47 language code, such as "en-US" or "sr-Latn". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.

mid? string - Object ID that should align with EntityAnnotation mid.

name? string - Object name, expressed in its language_code language.

score? float - Score of the result. Range [0, 1].

googleapis.vision: GoogleCloudVisionV1p4beta1ProductSearchResultsResult

Information about a product.

Fields

image? string - The resource name of the image from the product that is the closest match to the query.

product? GoogleCloudVisionV1p4beta1Product - A Product contains ReferenceImages.

score? float - A confidence level on the match, ranging from 0 (no confidence) to 1 (full confidence).

googleapis.vision: GoogleCloudVisionV1p4beta1Property

A Property consists of a user-supplied name/value pair.

Fields

name? string - Name of the property.

uint64Value? string - Value of numeric properties.

value? string - Value of the property.

googleapis.vision: GoogleCloudVisionV1p4beta1ReferenceImage

A ReferenceImage represents a product image and its associated metadata, such as bounding boxes.

Fields

boundingPolys? GoogleCloudVisionV1p4beta1BoundingPoly[] - Optional. Bounding polygons around the areas of interest in the reference image. If this field is empty, the system will try to detect regions of interest. At most 10 bounding polygons will be used. The provided shape is converted into a non-rotated rectangle. Once converted, the small edge of the rectangle must be greater than or equal to 300 pixels. The aspect ratio must be 1:4 or less (i.e. 1:3 is ok; 1:5 is not).

name? string - The resource name of the reference image. Format is: projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID/referenceImages/IMAGE_ID. This field is ignored when creating a reference image.

uri? string - Required. The Google Cloud Storage URI of the reference image. The URI must start with gs://.

googleapis.vision: GoogleCloudVisionV1p4beta1SafeSearchAnnotation

Set of features pertaining to the image, computed by computer vision methods over safe-search verticals (for example, adult, spoof, medical, violence).

Fields

adult? string - Represents the adult content likelihood for the image. Adult content may contain elements such as nudity, pornographic images or cartoons, or sexual activities.

medical? string - Likelihood that this is a medical image.

racy? string - Likelihood that the request image contains racy content. Racy content may include (but is not limited to) skimpy or sheer clothing, strategically covered nudity, lewd or provocative poses, or close-ups of sensitive body areas.

spoof? string - Spoof likelihood. The likelihood that an modification was made to the image's canonical version to make it appear funny or offensive.

violence? string - Likelihood that this image contains violent content.

googleapis.vision: GoogleCloudVisionV1p4beta1Symbol

A single symbol representation.

Fields

boundingBox? GoogleCloudVisionV1p4beta1BoundingPoly - A bounding polygon for the detected image annotation.

confidence? float - Confidence of the OCR results for the symbol. Range [0, 1].

property? GoogleCloudVisionV1p4beta1TextAnnotationTextProperty - Additional information detected on the structural component.

text? string - The actual UTF-8 representation of the symbol.

googleapis.vision: GoogleCloudVisionV1p4beta1TextAnnotation

Fields

pages? GoogleCloudVisionV1p4beta1Page[] - List of pages detected by OCR.

text? string - UTF-8 text detected on the pages.

googleapis.vision: GoogleCloudVisionV1p4beta1TextAnnotationDetectedBreak

Detected start or end of a structural component.

Fields

isPrefix? boolean - True if break prepends the element.

'type? string - Detected break type.

googleapis.vision: GoogleCloudVisionV1p4beta1TextAnnotationDetectedLanguage

Detected language for a structural component.

Fields

confidence? float - Confidence of detected language. Range [0, 1].

languageCode? string - The BCP-47 language code, such as "en-US" or "sr-Latn". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.

googleapis.vision: GoogleCloudVisionV1p4beta1TextAnnotationTextProperty

Additional information detected on the structural component.

Fields

detectedBreak? GoogleCloudVisionV1p4beta1TextAnnotationDetectedBreak - Detected start or end of a structural component.

detectedLanguages? GoogleCloudVisionV1p4beta1TextAnnotationDetectedLanguage[] - A list of detected languages together with confidence.

googleapis.vision: GoogleCloudVisionV1p4beta1Vertex

A vertex represents a 2D point in the image. NOTE: the vertex coordinates are in the same scale as the original image.

Fields

x? int - X coordinate.

y? int - Y coordinate.

googleapis.vision: GoogleCloudVisionV1p4beta1WebDetection

Relevant information for the image from the Internet.

Fields

bestGuessLabels? GoogleCloudVisionV1p4beta1WebDetectionWebLabel[] - The service's best guess as to the topic of the request image. Inferred from similar images on the open web.

fullMatchingImages? GoogleCloudVisionV1p4beta1WebDetectionWebImage[] - Fully matching images from the Internet. Can include resized copies of the query image.

pagesWithMatchingImages? GoogleCloudVisionV1p4beta1WebDetectionWebPage[] - Web pages containing the matching images from the Internet.

partialMatchingImages? GoogleCloudVisionV1p4beta1WebDetectionWebImage[] - Partial matching images from the Internet. Those images are similar enough to share some key-point features. For example an original image will likely have partial matching for its crops.

visuallySimilarImages? GoogleCloudVisionV1p4beta1WebDetectionWebImage[] - The visually similar image results.

webEntities? GoogleCloudVisionV1p4beta1WebDetectionWebEntity[] - Deduced entities from similar images on the Internet.

googleapis.vision: GoogleCloudVisionV1p4beta1WebDetectionWebEntity

Entity deduced from similar images on the Internet.

Fields

description? string - Canonical description of the entity, in English.

entityId? string - Opaque entity ID.

score? float - Overall relevancy score for the entity. Not normalized and not comparable across different image queries.

googleapis.vision: GoogleCloudVisionV1p4beta1WebDetectionWebImage

Metadata for online images.

Fields

score? float - (Deprecated) Overall relevancy score for the image.

url? string - The result image URL.

googleapis.vision: GoogleCloudVisionV1p4beta1WebDetectionWebLabel

Label to provide extra metadata for the web detection.

Fields

label? string - Label for extra metadata.

languageCode? string - The BCP-47 language code for label, such as "en-US" or "sr-Latn". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.

googleapis.vision: GoogleCloudVisionV1p4beta1WebDetectionWebPage

Metadata for web pages.

Fields

fullMatchingImages? GoogleCloudVisionV1p4beta1WebDetectionWebImage[] - Fully matching images on the page. Can include resized copies of the query image.

pageTitle? string - Title for the web page, may contain HTML markups.

partialMatchingImages? GoogleCloudVisionV1p4beta1WebDetectionWebImage[] - Partial matching images on the page. Those images are similar enough to share some key-point features. For example an original image will likely have partial matching for its crops.

score? float - (Deprecated) Overall relevancy score for the web page.

url? string - The result web page URL.

googleapis.vision: GoogleCloudVisionV1p4beta1Word

A word representation.

Fields

boundingBox? GoogleCloudVisionV1p4beta1BoundingPoly - A bounding polygon for the detected image annotation.

confidence? float - Confidence of the OCR results for the word. Range [0, 1].

property? GoogleCloudVisionV1p4beta1TextAnnotationTextProperty - Additional information detected on the structural component.

symbols? GoogleCloudVisionV1p4beta1Symbol[] - List of symbols in the word. The order of the symbols follows the natural reading order.

googleapis.vision: GroupedResult

Information about the products similar to a single product in a query image.

Fields

boundingPoly? BoundingPoly - A bounding polygon for the detected image annotation.

objectAnnotations? ObjectAnnotation[] - List of generic predictions for the object in the bounding box.

results? Result[] - List of results, one for each product match.

googleapis.vision: Image

Client image to perform Google Cloud Vision API tasks over.

Fields

content? string - Image content, represented as a stream of bytes. Note: As with all bytes fields, protobuffers use a pure binary representation, whereas JSON representations use base64. Currently, this field only works for BatchAnnotateImages requests. It does not work for AsyncBatchAnnotateImages requests.

'source? ImageSource - External image source (Google Cloud Storage or web URL image location).

googleapis.vision: ImageAnnotationContext

If an image was produced from a file (e.g. a PDF), this message gives information about the source of that image.

Fields

pageNumber? int - If the file was a PDF or TIFF, this field gives the page number within the file used to produce the image.

uri? string - The URI of the file used to produce the image.

googleapis.vision: ImageContext

Image context and/or feature-specific parameters.

Fields

cropHintsParams? CropHintsParams - Parameters for crop hints annotation request.

languageHints? string[] - List of languages to use for TEXT_DETECTION. In most cases, an empty value yields the best results since it enables automatic language detection. For languages based on the Latin alphabet, setting language_hints is not needed. In rare cases, when the language of the text in the image is known, setting a hint will help get better results (although it will be a significant hindrance if the hint is wrong). Text detection returns an error if one or more of the specified languages is not one of the supported languages.

latLongRect? LatLongRect - Rectangle determined by min and max LatLng pairs.

productSearchParams? ProductSearchParams - Parameters for a product search request.

textDetectionParams? TextDetectionParams - Parameters for text detections. This is used to control TEXT_DETECTION and DOCUMENT_TEXT_DETECTION features.

webDetectionParams? WebDetectionParams - Parameters for web detection request.

googleapis.vision: ImageProperties

Stores image properties, such as dominant colors.

Fields

dominantColors? DominantColorsAnnotation - Set of dominant colors and their corresponding scores.

googleapis.vision: ImageSource

External image source (Google Cloud Storage or web URL image location).

Fields

gcsImageUri? string - Use image_uri instead. The Google Cloud Storage URI of the form gs://bucket_name/object_name. Object versioning is not supported. See Google Cloud Storage Request URIs for more info.

imageUri? string - The URI of the source image. Can be either: 1. A Google Cloud Storage URI of the form gs://bucket_name/object_name. Object versioning is not supported. See Google Cloud Storage Request URIs for more info. 2. A publicly-accessible image HTTP/HTTPS URL. When fetching images from HTTP/HTTPS URLs, Google cannot guarantee that the request will be completed. Your request may fail if the specified host denies the request (e.g. due to request throttling or DOS prevention), or if Google throttles requests to the site for abuse prevention. You should not depend on externally-hosted images for production applications. When both gcs_image_uri and image_uri are specified, image_uri takes precedence.

googleapis.vision: ImportProductSetsGcsSource

The Google Cloud Storage location for a csv file which preserves a list of ImportProductSetRequests in each line.

Fields

csvFileUri? string - The Google Cloud Storage URI of the input csv file. The URI must start with gs://. The format of the input csv file should be one image per line. In each line, there are 8 columns. 1. image-uri 2. image-id 3. product-set-id 4. product-id 5. product-category 6. product-display-name 7. labels 8. bounding-poly The image-uri, product-set-id, product-id, and product-category columns are required. All other columns are optional. If the ProductSet or Product specified by the product-set-id and product-id values does not exist, then the system will create a new ProductSet or Product for the image. In this case, the product-display-name column refers to display_name, the product-category column refers to product_category, and the labels column refers to product_labels. The image-id column is optional but must be unique if provided. If it is empty, the system will automatically assign a unique id to the image. The product-display-name column is optional. If it is empty, the system sets the display_name field for the product to a space (" "). You can update the display_name later by using the API. If a Product with the specified product-id already exists, then the system ignores the product-display-name, product-category, and labels columns. The labels column (optional) is a line containing a list of comma-separated key-value pairs, in the following format: "key_1=value_1,key_2=value_2,...,key_n=value_n" The bounding-poly column (optional) identifies one region of interest from the image in the same manner as CreateReferenceImage. If you do not specify the bounding-poly column, then the system will try to detect regions of interest automatically. At most one bounding-poly column is allowed per line. If the image contains multiple regions of interest, add a line to the CSV file that includes the same product information, and the bounding-poly values for each region of interest. The bounding-poly column must contain an even number of comma-separated numbers, in the format "p1_x,p1_y,p2_x,p2_y,...,pn_x,pn_y". Use non-negative integers for absolute bounding polygons, and float values in [0, 1] for normalized bounding polygons. The system will resize the image if the image resolution is too large to process (larger than 20MP).

googleapis.vision: ImportProductSetsInputConfig

The input content for the ImportProductSets method.

Fields

gcsSource? ImportProductSetsGcsSource - The Google Cloud Storage location for a csv file which preserves a list of ImportProductSetRequests in each line.

googleapis.vision: ImportProductSetsRequest

Request message for the ImportProductSets method.

Fields

inputConfig? ImportProductSetsInputConfig - The input content for the ImportProductSets method.

googleapis.vision: ImportProductSetsResponse

Response message for the ImportProductSets method. This message is returned by the google.longrunning.Operations.GetOperation method in the returned google.longrunning.Operation.response field.

Fields

referenceImages? ReferenceImage[] - The list of reference_images that are imported successfully.

statuses? Status[] - The rpc status for each ImportProductSet request, including both successes and errors. The number of statuses here matches the number of lines in the csv file, and statuses[i] stores the success or failure status of processing the i-th line of the csv, starting from line 0.

googleapis.vision: InputConfig

The desired input location and metadata.

Fields

content? string - File content, represented as a stream of bytes. Note: As with all bytes fields, protobuffers use a pure binary representation, whereas JSON representations use base64. Currently, this field only works for BatchAnnotateFiles requests. It does not work for AsyncBatchAnnotateFiles requests.

gcsSource? GcsSource - The Google Cloud Storage location where the input will be read from.

mimeType? string - The type of the file. Currently only "application/pdf", "image/tiff" and "image/gif" are supported. Wildcards are not supported.

googleapis.vision: KeyValue

A product label represented as a key-value pair.

Fields

'key? string - The key of the label attached to the product. Cannot be empty and cannot exceed 128 bytes.

value? string - The value of the label attached to the product. Cannot be empty and cannot exceed 128 bytes.

googleapis.vision: Landmark

A face-specific landmark (for example, a face feature).

Fields

position? Position - A 3D position in the image, used primarily for Face detection landmarks. A valid Position must have both x and y coordinates. The position coordinates are in the same scale as the original image.

'type? string - Face landmark type.

googleapis.vision: LatLng

An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this object must conform to the WGS84 standard. Values must be within normalized ranges.

Fields

latitude? decimal - The latitude in degrees. It must be in the range [-90.0, +90.0].

longitude? decimal - The longitude in degrees. It must be in the range [-180.0, +180.0].

googleapis.vision: LatLongRect

Rectangle determined by min and max LatLng pairs.

Fields

maxLatLng? LatLng - An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this object must conform to the WGS84 standard. Values must be within normalized ranges.

minLatLng? LatLng - An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this object must conform to the WGS84 standard. Values must be within normalized ranges.

googleapis.vision: ListOperationsResponse

The response message for Operations.ListOperations.

Fields

nextPageToken? string - The standard List next-page token.

operations? Operation[] - A list of operations that matches the specified filter in the request.

googleapis.vision: ListProductSetsResponse

Response message for the ListProductSets method.

Fields

nextPageToken? string - Token to retrieve the next page of results, or empty if there are no more results in the list.

productSets? ProductSet[] - List of ProductSets.

googleapis.vision: ListProductsInProductSetResponse

Response message for the ListProductsInProductSet method.

Fields

nextPageToken? string - Token to retrieve the next page of results, or empty if there are no more results in the list.

products? Product[] - The list of Products.

googleapis.vision: ListProductsResponse

Response message for the ListProducts method.

Fields

nextPageToken? string - Token to retrieve the next page of results, or empty if there are no more results in the list.

products? Product[] - List of products.

googleapis.vision: ListReferenceImagesResponse

Response message for the ListReferenceImages method.

Fields

nextPageToken? string - The next_page_token returned from a previous List request, if any.

pageSize? int - The maximum number of items to return. Default 10, maximum 100.

referenceImages? ReferenceImage[] - The list of reference images.

googleapis.vision: LocalizedObjectAnnotation

Set of detected objects with bounding boxes.

Fields

boundingPoly? BoundingPoly - A bounding polygon for the detected image annotation.

languageCode? string - The BCP-47 language code, such as "en-US" or "sr-Latn". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.

mid? string - Object ID that should align with EntityAnnotation mid.

name? string - Object name, expressed in its language_code language.

score? float - Score of the result. Range [0, 1].

googleapis.vision: LocationInfo

Detected entity location information.

Fields

latLng? LatLng - An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this object must conform to the WGS84 standard. Values must be within normalized ranges.

googleapis.vision: NormalizedVertex

A vertex represents a 2D point in the image. NOTE: the normalized vertex coordinates are relative to the original image and range from 0 to 1.

Fields

x? float - X coordinate.

y? float - Y coordinate.

googleapis.vision: OAuth2RefreshTokenGrantConfig

Closed record

OAuth2 Refresh Token Grant Configs

Fields

Fields Included from *OAuth2RefreshTokenGrantConfig

refreshUrl string
refreshToken string
clientId string
clientSecret string
scopes string|string[]
defaultTokenExpTime decimal
clockSkew decimal
optionalParams map<string>
credentialBearer CredentialBearer
clientConfig ClientConfiguration

refreshUrl string(default "https://accounts.google.com/o/oauth2/token") - Refresh URL

googleapis.vision: ObjectAnnotation

Prediction for what the object in the bounding box is.

Fields

languageCode? string - The BCP-47 language code, such as "en-US" or "sr-Latn". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.

mid? string - Object ID that should align with EntityAnnotation mid.

name? string - Object name, expressed in its language_code language.

score? float - Score of the result. Range [0, 1].

googleapis.vision: Operation

This resource represents a long-running operation that is the result of a network API call.

Fields

done? boolean - If the value is false, it means the operation is still in progress. If true, the operation is completed, and either error or response is available.

'error? Status - The Status type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by gRPC. Each Status message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the API Design Guide.

metadata? record {} - Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.

name? string - The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the name should be a resource name ending with operations/{unique_id}.

response? record {} - The normal response of the operation in case of success. If the original method returns no data on success, such as Delete, the response is google.protobuf.Empty. If the original method is standard Get/Create/Update, the response should be the resource. For other methods, the response should have the type XxxResponse, where Xxx is the original method name. For example, if the original method name is TakeSnapshot(), the inferred response type is TakeSnapshotResponse.

googleapis.vision: OperationMetadata

Contains metadata for the BatchAnnotateImages operation.

Fields

createTime? string - The time when the batch request was received.

state? string - Current state of the batch operation.

updateTime? string - The time when the operation result was last updated.

googleapis.vision: OutputConfig

The desired output location and metadata.

Fields

batchSize? int - The max number of response protos to put into each output JSON file on Google Cloud Storage. The valid range is [1, 100]. If not specified, the default value is 20. For example, for one pdf file with 100 pages, 100 response protos will be generated. If batch_size = 20, then 5 json files each containing 20 response protos will be written under the prefix gcs_destination.uri. Currently, batch_size only applies to GcsDestination, with potential future support for other output configurations.

gcsDestination? GcsDestination - The Google Cloud Storage location where the output will be written to.

googleapis.vision: Page

Detected page from OCR.

Fields

blocks? Block[] - List of blocks of text, images etc on this page.

confidence? float - Confidence of the OCR results on the page. Range [0, 1].

height? int - Page height. For PDFs the unit is points. For images (including TIFFs) the unit is pixels.

property? TextProperty - Additional information detected on the structural component.

width? int - Page width. For PDFs the unit is points. For images (including TIFFs) the unit is pixels.

googleapis.vision: Paragraph

Structural unit of text representing a number of words in certain order.

Fields

boundingBox? BoundingPoly - A bounding polygon for the detected image annotation.

confidence? float - Confidence of the OCR results for the paragraph. Range [0, 1].

property? TextProperty - Additional information detected on the structural component.

words? Word[] - List of all words in this paragraph.

googleapis.vision: Position

A 3D position in the image, used primarily for Face detection landmarks. A valid Position must have both x and y coordinates. The position coordinates are in the same scale as the original image.

Fields

x? float - X coordinate.

y? float - Y coordinate.

z? float - Z coordinate (or depth).

googleapis.vision: Product

A Product contains ReferenceImages.

Fields

description? string - User-provided metadata to be stored with this product. Must be at most 4096 characters long.

displayName? string - The user-provided name for this Product. Must not be empty. Must be at most 4096 characters long.

name? string - The resource name of the product. Format is: projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID. This field is ignored when creating a product.

productCategory? string - Immutable. The category for the product identified by the reference image. This should be one of "homegoods-v2", "apparel-v2", "toys-v2", "packagedgoods-v1" or "general-v1". The legacy categories "homegoods", "apparel", and "toys" are still supported, but these should not be used for new products.

productLabels? KeyValue[] - Key-value pairs that can be attached to a product. At query time, constraints can be specified based on the product_labels. Note that integer values can be provided as strings, e.g. "1199". Only strings with integer values can match a range-based restriction which is to be supported soon. Multiple values can be assigned to the same key. One product may have up to 500 product_labels. Notice that the total number of distinct product_labels over all products in one ProductSet cannot exceed 1M, otherwise the product search pipeline will refuse to work for that ProductSet.

googleapis.vision: ProductSearchParams

Parameters for a product search request.

Fields

boundingPoly? BoundingPoly - A bounding polygon for the detected image annotation.

filter? string - The filtering expression. This can be used to restrict search results based on Product labels. We currently support an AND of OR of key-value expressions, where each expression within an OR must have the same key. An '=' should be used to connect the key and value. For example, "(color = red OR color = blue) AND brand = Google" is acceptable, but "(color = red OR brand = Google)" is not acceptable. "color: red" is not acceptable because it uses a ':' instead of an '='.

productCategories? string[] - The list of product categories to search in. Currently, we only consider the first category, and either "homegoods-v2", "apparel-v2", "toys-v2", "packagedgoods-v1", or "general-v1" should be specified. The legacy categories "homegoods", "apparel", and "toys" are still supported but will be deprecated. For new products, please use "homegoods-v2", "apparel-v2", or "toys-v2" for better product search accuracy. It is recommended to migrate existing products to these categories as well.

productSet? string - The resource name of a ProductSet to be searched for similar images. Format is: projects/PROJECT_ID/locations/LOC_ID/productSets/PRODUCT_SET_ID.

googleapis.vision: ProductSearchResults

Results for a product search request.

Fields

indexTime? string - Timestamp of the index which provided these results. Products added to the product set and products removed from the product set after this time are not reflected in the current results.

productGroupedResults? GroupedResult[] - List of results grouped by products detected in the query image. Each entry corresponds to one bounding polygon in the query image, and contains the matching products specific to that region. There may be duplicate product matches in the union of all the per-product results.

results? Result[] - List of results, one for each product match.

googleapis.vision: ProductSet

A ProductSet contains Products. A ProductSet can contain a maximum of 1 million reference images. If the limit is exceeded, periodic indexing will fail.

Fields

displayName? string - The user-provided name for this ProductSet. Must not be empty. Must be at most 4096 characters long.

indexError? Status - The Status type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by gRPC. Each Status message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the API Design Guide.

indexTime? string - Output only. The time at which this ProductSet was last indexed. Query results will reflect all updates before this time. If this ProductSet has never been indexed, this timestamp is the default value "1970-01-01T00:00:00Z". This field is ignored when creating a ProductSet.

name? string - The resource name of the ProductSet. Format is: projects/PROJECT_ID/locations/LOC_ID/productSets/PRODUCT_SET_ID. This field is ignored when creating a ProductSet.

googleapis.vision: ProductSetPurgeConfig

Config to control which ProductSet contains the Products to be deleted.

Fields

productSetId? string - The ProductSet that contains the Products to delete. If a Product is a member of product_set_id in addition to other ProductSets, the Product will still be deleted.

googleapis.vision: Property

A Property consists of a user-supplied name/value pair.

Fields

name? string - Name of the property.

uint64Value? string - Value of numeric properties.

value? string - Value of the property.

googleapis.vision: ProxyConfig

Closed record

Proxy server configurations to be used with the HTTP client endpoint.

Fields

host string(default "") - Host name of the proxy server

port int(default 0) - Proxy server port

userName string(default "") - Proxy server username

password string(default "") - Proxy server password

googleapis.vision: PurgeProductsRequest

Request message for the PurgeProducts method.

Fields

deleteOrphanProducts? boolean - If delete_orphan_products is true, all Products that are not in any ProductSet will be deleted.

force? boolean - The default value is false. Override this value to true to actually perform the purge.

productSetPurgeConfig? ProductSetPurgeConfig - Config to control which ProductSet contains the Products to be deleted.

googleapis.vision: ReferenceImage

A ReferenceImage represents a product image and its associated metadata, such as bounding boxes.

Fields

boundingPolys? BoundingPoly[] - Optional. Bounding polygons around the areas of interest in the reference image. If this field is empty, the system will try to detect regions of interest. At most 10 bounding polygons will be used. The provided shape is converted into a non-rotated rectangle. Once converted, the small edge of the rectangle must be greater than or equal to 300 pixels. The aspect ratio must be 1:4 or less (i.e. 1:3 is ok; 1:5 is not).

name? string - The resource name of the reference image. Format is: projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID/referenceImages/IMAGE_ID. This field is ignored when creating a reference image.

uri? string - Required. The Google Cloud Storage URI of the reference image. The URI must start with gs://.

googleapis.vision: RemoveProductFromProductSetRequest

Request message for the RemoveProductFromProductSet method.

Fields

product? string - Required. The resource name for the Product to be removed from this ProductSet. Format is: projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID

googleapis.vision: Result

Information about a product.

Fields

image? string - The resource name of the image from the product that is the closest match to the query.

product? Product - A Product contains ReferenceImages.

score? float - A confidence level on the match, ranging from 0 (no confidence) to 1 (full confidence).

googleapis.vision: SafeSearchAnnotation

Set of features pertaining to the image, computed by computer vision methods over safe-search verticals (for example, adult, spoof, medical, violence).

Fields

adult? string - Represents the adult content likelihood for the image. Adult content may contain elements such as nudity, pornographic images or cartoons, or sexual activities.

medical? string - Likelihood that this is a medical image.

racy? string - Likelihood that the request image contains racy content. Racy content may include (but is not limited to) skimpy or sheer clothing, strategically covered nudity, lewd or provocative poses, or close-ups of sensitive body areas.

spoof? string - Spoof likelihood. The likelihood that an modification was made to the image's canonical version to make it appear funny or offensive.

violence? string - Likelihood that this image contains violent content.

googleapis.vision: Status

The Status type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by gRPC. Each Status message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the API Design Guide.

Fields

code? int - The status code, which should be an enum value of google.rpc.Code.

details? record {}[] - A list of messages that carry the error details. There is a common set of message types for APIs to use.

message? string - A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.

googleapis.vision: Symbol

A single symbol representation.

Fields

boundingBox? BoundingPoly - A bounding polygon for the detected image annotation.

confidence? float - Confidence of the OCR results for the symbol. Range [0, 1].

property? TextProperty - Additional information detected on the structural component.

text? string - The actual UTF-8 representation of the symbol.

googleapis.vision: TextAnnotation

Fields

pages? Page[] - List of pages detected by OCR.

text? string - UTF-8 text detected on the pages.

googleapis.vision: TextDetectionParams

Parameters for text detections. This is used to control TEXT_DETECTION and DOCUMENT_TEXT_DETECTION features.

Fields

enableTextDetectionConfidenceScore? boolean - By default, Cloud Vision API only includes confidence score for DOCUMENT_TEXT_DETECTION result. Set the flag to true to include confidence score for TEXT_DETECTION as well.

googleapis.vision: TextProperty

Additional information detected on the structural component.

Fields

detectedBreak? DetectedBreak - Detected start or end of a structural component.

detectedLanguages? DetectedLanguage[] - A list of detected languages together with confidence.

googleapis.vision: Vertex

A vertex represents a 2D point in the image. NOTE: the vertex coordinates are in the same scale as the original image.

Fields

x? int - X coordinate.

y? int - Y coordinate.

googleapis.vision: WebDetection

Relevant information for the image from the Internet.

Fields

bestGuessLabels? WebLabel[] - The service's best guess as to the topic of the request image. Inferred from similar images on the open web.

fullMatchingImages? WebImage[] - Fully matching images from the Internet. Can include resized copies of the query image.

pagesWithMatchingImages? WebPage[] - Web pages containing the matching images from the Internet.

partialMatchingImages? WebImage[] - Partial matching images from the Internet. Those images are similar enough to share some key-point features. For example an original image will likely have partial matching for its crops.

visuallySimilarImages? WebImage[] - The visually similar image results.

webEntities? WebEntity[] - Deduced entities from similar images on the Internet.

googleapis.vision: WebDetectionParams

Parameters for web detection request.

Fields

includeGeoResults? boolean - Whether to include results derived from the geo information in the image.

googleapis.vision: WebEntity

Entity deduced from similar images on the Internet.

Fields

description? string - Canonical description of the entity, in English.

entityId? string - Opaque entity ID.

score? float - Overall relevancy score for the entity. Not normalized and not comparable across different image queries.

googleapis.vision: WebImage

Metadata for online images.

Fields

score? float - (Deprecated) Overall relevancy score for the image.

url? string - The result image URL.

googleapis.vision: WebLabel

Label to provide extra metadata for the web detection.

Fields

label? string - Label for extra metadata.

languageCode? string - The BCP-47 language code for label, such as "en-US" or "sr-Latn". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.

googleapis.vision: WebPage

Metadata for web pages.

Fields

fullMatchingImages? WebImage[] - Fully matching images on the page. Can include resized copies of the query image.

pageTitle? string - Title for the web page, may contain HTML markups.

partialMatchingImages? WebImage[] - Partial matching images on the page. Those images are similar enough to share some key-point features. For example an original image will likely have partial matching for its crops.

score? float - (Deprecated) Overall relevancy score for the web page.

url? string - The result web page URL.

googleapis.vision: Word

A word representation.

Fields

boundingBox? BoundingPoly - A bounding polygon for the detected image annotation.

confidence? float - Confidence of the OCR results for the word. Range [0, 1].

property? TextProperty - Additional information detected on the structural component.

symbols? Symbol[] - List of symbols in the word. The order of the symbols follows the natural reading order.

Import

import ballerinax/googleapis.vision;

Other versions

1.6.2

1.6.1 1.6.0 1.5.1 1.5.0

Metadata

Released date: about 20 hours ago

Version: 1.6.2

License: Apache-2.0

Compatibility

Platform: any

Ballerina version: 2201.8.0

GraalVM compatible: Yes

Pull count

Total: 90

Current verison: 0

Weekly downloads

Source repository

Keywords

Type/Connector

AI/Images

Cost/Freemium

Vendor/Google

Area/AI & Machine Learning

Contributors

Dependencies

ballerina/url/2.4.0 ballerina/http/2.10.24

Cookie policy

Delete policy

clients

records

ballerinax/googleapis.vision Ballerina library

Overview

Key Features

Prerequisites

Quickstart

Step 1: Import connector

Step 2: Create a new connector instance

Step 3: Invoke connector operation

Clients

googleapis.vision: Client

Constructor

annotateFiles

Parameters

Return Type

asyncBatchAnnotate

Parameters

Return Type

runImageDetectionAndAnnotation

Parameters

Return Type

asyncBatchImageAnnotate

Parameters

Return Type

getProjectOperation

Parameters

Return Type

deleteProductSet

Parameters

Return Type

pathProductSet

Parameters

Return Type

listProducts

Parameters

Return Type

addProduct

Parameters

Return Type

cancelAsyncOperation

Parameters

Return Type

removeProduct

Parameters

Return Type

annotateBatchFiles

Parameters

Return Type

asyncFileBatchAnnotate

Parameters

Return Type

annotateBatchImages

Parameters

Return Type

asyncImageBatchAnnotate

Parameters

Return Type

listProductSetsInUnspecifiedOrder

Parameters

Return Type

createProductSet

Parameters

Return Type

importReferenceImages

Parameters

Return Type

listProductvision

Parameters

Return Type

createProductResource

Parameters

Return Type

deleteAllProducts

Parameters

Return Type

listReferenceImages

Parameters

Return Type

createReferenceImages