Service that performs Google Cloud Vision API detection tasksover client images, such as face, landmark, logo, label, andtext detection. The ImageAnnotator service returns detectedentities from the images.

Service that performs Google Cloud Vision API detection tasksover client images, such as face, landmark, logo, label, andtext detection. The ImageAnnotator service returns detectedentities from the images.

Manages Products and ProductSets of reference images for use inproduct search. It uses the following resource model:

• The API has a collection ofProductSet resources, namedprojects/*/locations/*/productSets/*, which acts as a way toput different products into groups to limit identification.

In parallel,

• The API has a collection ofProduct resources, namedprojects/*/locations/*/products/*

• EachProduct has a collection ofReferenceImage resources,namedprojects/*/locations/*/products/*/referenceImages/*

Manages Products and ProductSets of reference images for use inproduct search. It uses the following resource model:

• The API has a collection ofProductSet resources, namedprojects/*/locations/*/productSets/*, which acts as a way toput different products into groups to limit identification.

In parallel,

• The API has a collection ofProduct resources, namedprojects/*/locations/*/products/*

• EachProduct has a collection ofReferenceImage resources,namedprojects/*/locations/*/products/*/referenceImages/*

A pager for iterating throughlist_product_sets requests.

This class thinly wraps an initialListProductSetsResponse object, andprovides an__aiter__ method to iterate through itsproduct_sets field.

If there are more pages, the__aiter__ method will make additionalListProductSets requests and continue to iteratethrough theproduct_sets field on thecorresponding responses.

All the usualListProductSetsResponseattributes are available on the pager. If multiple requests are made, onlythe most recent response is retained, and thus used for attribute lookup.

A pager for iterating throughlist_product_sets requests.

This class thinly wraps an initialListProductSetsResponse object, andprovides an__iter__ method to iterate through itsproduct_sets field.

If there are more pages, the__iter__ method will make additionalListProductSets requests and continue to iteratethrough theproduct_sets field on thecorresponding responses.

All the usualListProductSetsResponseattributes are available on the pager. If multiple requests are made, onlythe most recent response is retained, and thus used for attribute lookup.

A pager for iterating throughlist_products requests.

This class thinly wraps an initialListProductsResponse object, andprovides an__aiter__ method to iterate through itsproducts field.

If there are more pages, the__aiter__ method will make additionalListProducts requests and continue to iteratethrough theproducts field on thecorresponding responses.

All the usualListProductsResponseattributes are available on the pager. If multiple requests are made, onlythe most recent response is retained, and thus used for attribute lookup.

A pager for iterating throughlist_products_in_product_set requests.

This class thinly wraps an initialListProductsInProductSetResponse object, andprovides an__aiter__ method to iterate through itsproducts field.

If there are more pages, the__aiter__ method will make additionalListProductsInProductSet requests and continue to iteratethrough theproducts field on thecorresponding responses.

All the usualListProductsInProductSetResponseattributes are available on the pager. If multiple requests are made, onlythe most recent response is retained, and thus used for attribute lookup.

A pager for iterating throughlist_products_in_product_set requests.

This class thinly wraps an initialListProductsInProductSetResponse object, andprovides an__iter__ method to iterate through itsproducts field.

If there are more pages, the__iter__ method will make additionalListProductsInProductSet requests and continue to iteratethrough theproducts field on thecorresponding responses.

All the usualListProductsInProductSetResponseattributes are available on the pager. If multiple requests are made, onlythe most recent response is retained, and thus used for attribute lookup.

A pager for iterating throughlist_products requests.

This class thinly wraps an initialListProductsResponse object, andprovides an__iter__ method to iterate through itsproducts field.

If there are more pages, the__iter__ method will make additionalListProducts requests and continue to iteratethrough theproducts field on thecorresponding responses.

All the usualListProductsResponseattributes are available on the pager. If multiple requests are made, onlythe most recent response is retained, and thus used for attribute lookup.

A pager for iterating throughlist_reference_images requests.

This class thinly wraps an initialListReferenceImagesResponse object, andprovides an__aiter__ method to iterate through itsreference_images field.

If there are more pages, the__aiter__ method will make additionalListReferenceImages requests and continue to iteratethrough thereference_images field on thecorresponding responses.

All the usualListReferenceImagesResponseattributes are available on the pager. If multiple requests are made, onlythe most recent response is retained, and thus used for attribute lookup.

A pager for iterating throughlist_reference_images requests.

This class thinly wraps an initialListReferenceImagesResponse object, andprovides an__iter__ method to iterate through itsreference_images field.

If there are more pages, the__iter__ method will make additionalListReferenceImages requests and continue to iteratethrough thereference_images field on thecorresponding responses.

All the usualListReferenceImagesResponseattributes are available on the pager. If multiple requests are made, onlythe most recent response is retained, and thus used for attribute lookup.

Request message for theAddProductToProductSet method.

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

Response to a single file annotation request. A file maycontain one or more images, which individually have their ownresponses.

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

Response to an image annotation request.

An offline file annotation request.

The response for a single offline file annotation request.

Multiple async file annotation requests are batched into asingle service call.

The abstract base class for a message.

Response to an async batch file annotation request.

Request for async image annotation for a list of images.

The abstract base class for a message.

Response to an async batch image annotation request.

A list of requests to annotate files using theBatchAnnotateFiles API.

The abstract base class for a message.

A list of file annotation responses.

Multiple image annotation requests are batched into a singleservice call.

The abstract base class for a message.

Response to a batch image annotation request.

Metadata for the batch operations such as the current state.

This is included in themetadata field of theOperationreturned by theGetOperation call of thegoogle::longrunning::Operations service.

Enumerates the possible states that the batch request can bein.

Logical element on the page.

Type of a block (text, image etc) as identified by OCR.

A bounding polygon for the detected image annotation.

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

Request message for theCreateProduct method.

Request message for theCreateProductSet method.

Request message for theCreateReferenceImage method.

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

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

Parameters for crop hints annotation request.

Request message for theDeleteProduct method.

Request message for theDeleteProductSet method.

Request message for theDeleteReferenceImage method.

Set of dominant colors and their corresponding scores.

Set of detected entity features.

A face annotation object contains the results of facedetection.

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

Face landmark (feature) type. Left and right are defined from thevantage of the viewer of the image without considering mirrorprojections typical of photos. So,LEFT_EYE, typically, is theperson's right eye.

The type of Google Cloud Vision API detection to perform, and themaximum number of results to return for that type. MultipleFeature objects can be specified in thefeatures list.

Type of Google Cloud Vision API feature to be extracted.

The Google Cloud Storage location where the output will bewritten to.

The Google Cloud Storage location where the input will beread from.

Request message for theGetProduct method.

Request message for theGetProductSet method.

Request message for theGetReferenceImage method.

Client image to perform Google Cloud Vision API tasks over.

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

Image context and/or feature-specific parameters.

Stores image properties, such as dominant colors.

External image source (Google Cloud Storage or web URL imagelocation).

The Google Cloud Storage location for a csv file whichpreserves a list of ImportProductSetRequests in each line.

The input content for theImportProductSets method.

.. _oneof:https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

Request message for theImportProductSets method.

Response message for theImportProductSets method.

This message is returned by thegoogle.longrunning.Operations.GetOperation][google.longrunning.Operations.GetOperation]method in the returnedgoogle.longrunning.Operation.response][google.longrunning.Operation.response]field.

The desired input location and metadata.

Rectangle determined by min and maxLatLng pairs.

A bucketized representation of likelihood, which is intendedto give clients highly stable results across model upgrades.

Request message for theListProductSets method.

Response message for theListProductSets method.

Request message for theListProductsInProductSet method.

Response message for theListProductsInProductSet method.

Request message for theListProducts method.

Response message for theListProducts method.

Request message for theListReferenceImages method.

Response message for theListReferenceImages method.

Set of detected objects with bounding boxes.

Detected entity location information.

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

Contains metadata for the BatchAnnotateImages operation.

Batch operation states.

The desired output location and metadata.

Detected page from OCR.

Structural unit of text representing a number of words incertain order.

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

A Product contains ReferenceImages.

A product label represented as a key-value pair.

Parameters for a product search request.

Results for a product search request.

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

Prediction for what the object in the bounding box is.

Information about a product.

A ProductSet contains Products. A ProductSet can contain amaximum of 1 million reference images. If the limit is exceeded,periodic indexing will fail.

Config to control which ProductSet contains the Products tobe deleted.

AProperty consists of a user-supplied name/value pair.

Request message for thePurgeProducts method.

This message hasoneof_ fields (mutually exclusive fields).For each oneof, at most one member field can be set at the same time.Setting any member of the oneof automatically clears all othermembers.

.. _oneof:https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

AReferenceImage represents a product image and its associatedmetadata, such as bounding boxes.

Request message for theRemoveProductFromProductSet method.

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

A single symbol representation.

TextAnnotation contains a structured representation of OCR extractedtext. The hierarchy of an OCR extracted text structure is like this:TextAnnotation -> Page -> Block -> Paragraph -> Word -> Symbol Eachstructural component, starting from Page, may further have their ownproperties. Properties describe detected languages, breaks etc..Please refer to theTextAnnotation.TextPropertymessage definition below for more detail.

Detected start or end of a structural component.

Enum to denote the type of break found. New line, space etc.

Detected language for a structural component.

Additional information detected on the structural component.

Parameters for text detections. This is used to controlTEXT_DETECTION and DOCUMENT_TEXT_DETECTION features.

Request message for theUpdateProduct method.

Request message for theUpdateProductSet method.

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

Relevant information for the image from the Internet.

Entity deduced from similar images on the Internet.

Metadata for online images.

Label to provide extra metadata for the web detection.

Metadata for web pages.

Parameters for web detection request.

A word representation.

Service that performs Google Cloud Vision API detection tasksover client images, such as face, landmark, logo, label, andtext detection. The ImageAnnotator service returns detectedentities from the images.

Service that performs Google Cloud Vision API detection tasksover client images, such as face, landmark, logo, label, andtext detection. The ImageAnnotator service returns detectedentities from the images.

Request for performing Google Cloud Vision API tasks over auser-provided image, with user-requested features.

Response to an image annotation request.

Multiple image annotation requests are batched into a singleservice call.

Response to a batch image annotation request.

Logical element on the page.

Type of a block (text, image etc) as identified by OCR.

A bounding polygon for the detected image annotation.

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

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

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

Parameters for crop hints annotation request.

Set of dominant colors and their corresponding scores.

Set of detected entity features.

A face annotation object contains the results of facedetection.

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

Face landmark (feature) type. Left and right are defined from thevantage of the viewer of the image without considering mirrorprojections typical of photos. So,LEFT_EYE, typically, is theperson's right eye.

Users describe the type of Google Cloud Vision API tasks to performover images by usingFeature\ s. Each Feature indicates a type ofimage detection task to perform. Features encode the Cloud VisionAPI vertical to operate on and the number of top-scoring results toreturn.

Type of image feature.

Client image to perform Google Cloud Vision API tasks over.

Image context and/or feature-specific parameters.

Stores image properties, such as dominant colors.

External image source (Google Cloud Storage image location).

Rectangle determined by min and maxLatLng pairs.

A bucketized representation of likelihood, which is intendedto give clients highly stable results across model upgrades.

Detected entity location information.

Detected page from OCR.

Structural unit of text representing a number of words incertain order.

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

AProperty consists of a user-supplied name/value pair.

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

A single symbol representation.

TextAnnotation contains a structured representation of OCR extractedtext. The hierarchy of an OCR extracted text structure is like this:TextAnnotation -> Page -> Block -> Paragraph -> Word -> Symbol Eachstructural component, starting from Page, may further have their ownproperties. Properties describe detected languages, breaks etc..Please refer to theTextAnnotation.TextPropertymessage definition below for more detail.

Detected start or end of a structural component.

Enum to denote the type of break found. New line, space etc.

Detected language for a structural component.

Additional information detected on the structural component.

Parameters for text detections. This is used to controlTEXT_DETECTION and DOCUMENT_TEXT_DETECTION features.

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

Relevant information for the image from the Internet.

Entity deduced from similar images on the Internet.

Metadata for online images.

Label to provide extra metadata for the web detection.

Metadata for web pages.

Parameters for web detection request.

A word representation.

Service that performs Google Cloud Vision API detection tasksover client images, such as face, landmark, logo, label, andtext detection. The ImageAnnotator service returns detectedentities from the images.

Service that performs Google Cloud Vision API detection tasksover client images, such as face, landmark, logo, label, andtext detection. The ImageAnnotator service returns detectedentities from the images.

Response to a single file annotation request. A file maycontain one or more images, which individually have their ownresponses.

Request for performing Google Cloud Vision API tasks over auser-provided image, with user-requested features.

Response to an image annotation request.

An offline file annotation request.

The response for a single offline file annotation request.

Multiple async file annotation requests are batched into asingle service call.

Response to an async batch file annotation request.

Multiple image annotation requests are batched into a singleservice call.

Response to a batch image annotation request.

Logical element on the page.

Type of a block (text, image etc) as identified by OCR.

A bounding polygon for the detected image annotation.

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

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

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

Parameters for crop hints annotation request.

Set of dominant colors and their corresponding scores.

Set of detected entity features.

A face annotation object contains the results of facedetection.

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

Face landmark (feature) type. Left and right are defined from thevantage of the viewer of the image without considering mirrorprojections typical of photos. So,LEFT_EYE, typically, is theperson's right eye.

The type of Google Cloud Vision API detection to perform, and themaximum number of results to return for that type. MultipleFeature objects can be specified in thefeatures list.

Type of Google Cloud Vision API feature to be extracted.

The Google Cloud Storage location where the output will bewritten to.

The Google Cloud Storage location where the input will beread from.

Client image to perform Google Cloud Vision API tasks over.

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

Image context and/or feature-specific parameters.

Stores image properties, such as dominant colors.

External image source (Google Cloud Storage or web URL imagelocation).

The desired input location and metadata.

Rectangle determined by min and maxLatLng pairs.

A bucketized representation of likelihood, which is intendedto give clients highly stable results across model upgrades.

Detected entity location information.

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

Contains metadata for the BatchAnnotateImages operation.

Batch operation states.

The desired output location and metadata.

Detected page from OCR.

Structural unit of text representing a number of words incertain order.

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

AProperty consists of a user-supplied name/value pair.

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

A single symbol representation.

TextAnnotation contains a structured representation of OCR extractedtext. The hierarchy of an OCR extracted text structure is like this:TextAnnotation -> Page -> Block -> Paragraph -> Word -> Symbol Eachstructural component, starting from Page, may further have their ownproperties. Properties describe detected languages, breaks etc..Please refer to theTextAnnotation.TextPropertymessage definition below for more detail.

Detected start or end of a structural component.

Enum to denote the type of break found. New line, space etc.

Detected language for a structural component.

Additional information detected on the structural component.

Parameters for text detections. This is used to controlTEXT_DETECTION and DOCUMENT_TEXT_DETECTION features.

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

Relevant information for the image from the Internet.

Entity deduced from similar images on the Internet.

Metadata for online images.

Label to provide extra metadata for the web detection.

Metadata for web pages.

Parameters for web detection request.

A word representation.

Service that performs Google Cloud Vision API detection tasksover client images, such as face, landmark, logo, label, andtext detection. The ImageAnnotator service returns detectedentities from the images.

Service that performs Google Cloud Vision API detection tasksover client images, such as face, landmark, logo, label, andtext detection. The ImageAnnotator service returns detectedentities from the images.

Manages Products and ProductSets of reference images for use inproduct search. It uses the following resource model:

• The API has a collection ofProductSet resources,namedprojects/*/locations/*/productSets/*, which acts as away to put different products into groups to limit identification.

In parallel,

• The API has a collection ofProduct resources, namedprojects/*/locations/*/products/*

• EachProduct has acollection ofReferenceImageresources, namedprojects/*/locations/*/products/*/referenceImages/*

Manages Products and ProductSets of reference images for use inproduct search. It uses the following resource model:

• The API has a collection ofProductSet resources,namedprojects/*/locations/*/productSets/*, which acts as away to put different products into groups to limit identification.

In parallel,

• The API has a collection ofProduct resources, namedprojects/*/locations/*/products/*

• EachProduct has acollection ofReferenceImageresources, namedprojects/*/locations/*/products/*/referenceImages/*

A pager for iterating throughlist_product_sets requests.

This class thinly wraps an initialListProductSetsResponse object, andprovides an__aiter__ method to iterate through itsproduct_sets field.

If there are more pages, the__aiter__ method will make additionalListProductSets requests and continue to iteratethrough theproduct_sets field on thecorresponding responses.

All the usualListProductSetsResponseattributes are available on the pager. If multiple requests are made, onlythe most recent response is retained, and thus used for attribute lookup.

A pager for iterating throughlist_product_sets requests.

This class thinly wraps an initialListProductSetsResponse object, andprovides an__iter__ method to iterate through itsproduct_sets field.

If there are more pages, the__iter__ method will make additionalListProductSets requests and continue to iteratethrough theproduct_sets field on thecorresponding responses.

All the usualListProductSetsResponseattributes are available on the pager. If multiple requests are made, onlythe most recent response is retained, and thus used for attribute lookup.

A pager for iterating throughlist_products requests.

This class thinly wraps an initialListProductsResponse object, andprovides an__aiter__ method to iterate through itsproducts field.

If there are more pages, the__aiter__ method will make additionalListProducts requests and continue to iteratethrough theproducts field on thecorresponding responses.

All the usualListProductsResponseattributes are available on the pager. If multiple requests are made, onlythe most recent response is retained, and thus used for attribute lookup.

A pager for iterating throughlist_products_in_product_set requests.

This class thinly wraps an initialListProductsInProductSetResponse object, andprovides an__aiter__ method to iterate through itsproducts field.

If there are more pages, the__aiter__ method will make additionalListProductsInProductSet requests and continue to iteratethrough theproducts field on thecorresponding responses.

All the usualListProductsInProductSetResponseattributes are available on the pager. If multiple requests are made, onlythe most recent response is retained, and thus used for attribute lookup.

A pager for iterating throughlist_products_in_product_set requests.

This class thinly wraps an initialListProductsInProductSetResponse object, andprovides an__iter__ method to iterate through itsproducts field.

If there are more pages, the__iter__ method will make additionalListProductsInProductSet requests and continue to iteratethrough theproducts field on thecorresponding responses.

All the usualListProductsInProductSetResponseattributes are available on the pager. If multiple requests are made, onlythe most recent response is retained, and thus used for attribute lookup.

A pager for iterating throughlist_products requests.

This class thinly wraps an initialListProductsResponse object, andprovides an__iter__ method to iterate through itsproducts field.

If there are more pages, the__iter__ method will make additionalListProducts requests and continue to iteratethrough theproducts field on thecorresponding responses.

All the usualListProductsResponseattributes are available on the pager. If multiple requests are made, onlythe most recent response is retained, and thus used for attribute lookup.

A pager for iterating throughlist_reference_images requests.

This class thinly wraps an initialListReferenceImagesResponse object, andprovides an__aiter__ method to iterate through itsreference_images field.

If there are more pages, the__aiter__ method will make additionalListReferenceImages requests and continue to iteratethrough thereference_images field on thecorresponding responses.

All the usualListReferenceImagesResponseattributes are available on the pager. If multiple requests are made, onlythe most recent response is retained, and thus used for attribute lookup.

A pager for iterating throughlist_reference_images requests.

This class thinly wraps an initialListReferenceImagesResponse object, andprovides an__iter__ method to iterate through itsreference_images field.

If there are more pages, the__iter__ method will make additionalListReferenceImages requests and continue to iteratethrough thereference_images field on thecorresponding responses.

All the usualListReferenceImagesResponseattributes are available on the pager. If multiple requests are made, onlythe most recent response is retained, and thus used for attribute lookup.

Request message for theAddProductToProductSet method.

Response to a single file annotation request. A file maycontain one or more images, which individually have their ownresponses.

Request for performing Google Cloud Vision API tasks over auser-provided image, with user-requested features.

Response to an image annotation request.

An offline file annotation request.

The response for a single offline file annotation request.

Multiple async file annotation requests are batched into asingle service call.

Response to an async batch file annotation request.

Multiple image annotation requests are batched into a singleservice call.

Response to a batch image annotation request.

Metadata for the batch operations such as the current state.

This is included in themetadata field of theOperationreturned by theGetOperation call of thegoogle::longrunning::Operations service.

Enumerates the possible states that the batch request can bein.

Logical element on the page.

Type of a block (text, image etc) as identified by OCR.

A bounding polygon for the detected image annotation.

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

Request message for theCreateProduct method.

Request message for theCreateProductSet method.

Request message for theCreateReferenceImage method.

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

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

Parameters for crop hints annotation request.

Request message for theDeleteProduct method.

Request message for theDeleteProductSet method.

Request message for theDeleteReferenceImage method.

Set of dominant colors and their corresponding scores.

Set of detected entity features.

A face annotation object contains the results of facedetection.

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

Face landmark (feature) type. Left and right are defined from thevantage of the viewer of the image without considering mirrorprojections typical of photos. So,LEFT_EYE, typically, is theperson's right eye.

The type of Google Cloud Vision API detection to perform, and themaximum number of results to return for that type. MultipleFeature objects can be specified in thefeatures list.

Type of Google Cloud Vision API feature to be extracted.

The Google Cloud Storage location where the output will bewritten to.

The Google Cloud Storage location where the input will beread from.

Request message for theGetProduct method.

Request message for theGetProductSet method.

Request message for theGetReferenceImage method.

Client image to perform Google Cloud Vision API tasks over.

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

Image context and/or feature-specific parameters.

Stores image properties, such as dominant colors.

External image source (Google Cloud Storage or web URL imagelocation).

The Google Cloud Storage location for a csv file whichpreserves a list of ImportProductSetRequests in each line.

The input content for theImportProductSets method.

.. _oneof:https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

Request message for theImportProductSets method.

Response message for theImportProductSets method.

This message is returned by thegoogle.longrunning.Operations.GetOperation][google.longrunning.Operations.GetOperation]method in the returnedgoogle.longrunning.Operation.response][google.longrunning.Operation.response]field.

The desired input location and metadata.

Rectangle determined by min and maxLatLng pairs.

A bucketized representation of likelihood, which is intendedto give clients highly stable results across model upgrades.

Request message for theListProductSets method.

Response message for theListProductSets method.

Request message for theListProductsInProductSet method.

Response message for theListProductsInProductSet method.

Request message for theListProducts method.

Response message for theListProducts method.

Request message for theListReferenceImages method.

Response message for theListReferenceImages method.

Set of detected objects with bounding boxes.

Detected entity location information.

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

Contains metadata for the BatchAnnotateImages operation.

Batch operation states.

The desired output location and metadata.

Detected page from OCR.

Structural unit of text representing a number of words incertain order.

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

A Product contains ReferenceImages.

A product label represented as a key-value pair.

Parameters for a product search request.

Results for a product search request.

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

Prediction for what the object in the bounding box is.

Information about a product.

A ProductSet contains Products. A ProductSet can contain amaximum of 1 million reference images. If the limit is exceeded,periodic indexing will fail.

AProperty consists of a user-supplied name/value pair.

AReferenceImage represents a product image and its associatedmetadata, such as bounding boxes.

Request message for theRemoveProductFromProductSet method.

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

A single symbol representation.

TextAnnotation contains a structured representation of OCR extractedtext. The hierarchy of an OCR extracted text structure is like this:TextAnnotation -> Page -> Block -> Paragraph -> Word -> Symbol Eachstructural component, starting from Page, may further have their ownproperties. Properties describe detected languages, breaks etc..Please refer to theTextAnnotation.TextPropertymessage definition below for more detail.

Detected start or end of a structural component.

Enum to denote the type of break found. New line, space etc.

Detected language for a structural component.

Additional information detected on the structural component.

Parameters for text detections. This is used to controlTEXT_DETECTION and DOCUMENT_TEXT_DETECTION features.

Request message for theUpdateProduct method.

Request message for theUpdateProductSet method.

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

Relevant information for the image from the Internet.

Entity deduced from similar images on the Internet.

Metadata for online images.

Label to provide extra metadata for the web detection.

Metadata for web pages.

Parameters for web detection request.

A word representation.

Service that performs Google Cloud Vision API detection tasksover client images, such as face, landmark, logo, label, andtext detection. The ImageAnnotator service returns detectedentities from the images.

Service that performs Google Cloud Vision API detection tasksover client images, such as face, landmark, logo, label, andtext detection. The ImageAnnotator service returns detectedentities from the images.

Manages Products and ProductSets of reference images for use inproduct search. It uses the following resource model:

• The API has a collection ofProductSet resources,namedprojects/*/locations/*/productSets/*, which acts as away to put different products into groups to limit identification.

In parallel,

• The API has a collection ofProduct resources, namedprojects/*/locations/*/products/*

• EachProduct has acollection ofReferenceImageresources, namedprojects/*/locations/*/products/*/referenceImages/*

Manages Products and ProductSets of reference images for use inproduct search. It uses the following resource model:

• The API has a collection ofProductSet resources,namedprojects/*/locations/*/productSets/*, which acts as away to put different products into groups to limit identification.

In parallel,

• The API has a collection ofProduct resources, namedprojects/*/locations/*/products/*

• EachProduct has acollection ofReferenceImageresources, namedprojects/*/locations/*/products/*/referenceImages/*

A pager for iterating throughlist_product_sets requests.

This class thinly wraps an initialListProductSetsResponse object, andprovides an__aiter__ method to iterate through itsproduct_sets field.

If there are more pages, the__aiter__ method will make additionalListProductSets requests and continue to iteratethrough theproduct_sets field on thecorresponding responses.

All the usualListProductSetsResponseattributes are available on the pager. If multiple requests are made, onlythe most recent response is retained, and thus used for attribute lookup.

A pager for iterating throughlist_product_sets requests.

This class thinly wraps an initialListProductSetsResponse object, andprovides an__iter__ method to iterate through itsproduct_sets field.

If there are more pages, the__iter__ method will make additionalListProductSets requests and continue to iteratethrough theproduct_sets field on thecorresponding responses.

All the usualListProductSetsResponseattributes are available on the pager. If multiple requests are made, onlythe most recent response is retained, and thus used for attribute lookup.

A pager for iterating throughlist_products requests.

This class thinly wraps an initialListProductsResponse object, andprovides an__aiter__ method to iterate through itsproducts field.

If there are more pages, the__aiter__ method will make additionalListProducts requests and continue to iteratethrough theproducts field on thecorresponding responses.

All the usualListProductsResponseattributes are available on the pager. If multiple requests are made, onlythe most recent response is retained, and thus used for attribute lookup.

A pager for iterating throughlist_products_in_product_set requests.

This class thinly wraps an initialListProductsInProductSetResponse object, andprovides an__aiter__ method to iterate through itsproducts field.

If there are more pages, the__aiter__ method will make additionalListProductsInProductSet requests and continue to iteratethrough theproducts field on thecorresponding responses.

All the usualListProductsInProductSetResponseattributes are available on the pager. If multiple requests are made, onlythe most recent response is retained, and thus used for attribute lookup.

A pager for iterating throughlist_products_in_product_set requests.

This class thinly wraps an initialListProductsInProductSetResponse object, andprovides an__iter__ method to iterate through itsproducts field.

If there are more pages, the__iter__ method will make additionalListProductsInProductSet requests and continue to iteratethrough theproducts field on thecorresponding responses.

All the usualListProductsInProductSetResponseattributes are available on the pager. If multiple requests are made, onlythe most recent response is retained, and thus used for attribute lookup.

A pager for iterating throughlist_products requests.

This class thinly wraps an initialListProductsResponse object, andprovides an__iter__ method to iterate through itsproducts field.

If there are more pages, the__iter__ method will make additionalListProducts requests and continue to iteratethrough theproducts field on thecorresponding responses.

All the usualListProductsResponseattributes are available on the pager. If multiple requests are made, onlythe most recent response is retained, and thus used for attribute lookup.

A pager for iterating throughlist_reference_images requests.

This class thinly wraps an initialListReferenceImagesResponse object, andprovides an__aiter__ method to iterate through itsreference_images field.

If there are more pages, the__aiter__ method will make additionalListReferenceImages requests and continue to iteratethrough thereference_images field on thecorresponding responses.

All the usualListReferenceImagesResponseattributes are available on the pager. If multiple requests are made, onlythe most recent response is retained, and thus used for attribute lookup.

A pager for iterating throughlist_reference_images requests.

This class thinly wraps an initialListReferenceImagesResponse object, andprovides an__iter__ method to iterate through itsreference_images field.

If there are more pages, the__iter__ method will make additionalListReferenceImages requests and continue to iteratethrough thereference_images field on thecorresponding responses.

All the usualListReferenceImagesResponseattributes are available on the pager. If multiple requests are made, onlythe most recent response is retained, and thus used for attribute lookup.

Request message for theAddProductToProductSet method.

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

Response to a single file annotation request. A file maycontain one or more images, which individually have their ownresponses.

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

Response to an image annotation request.

An offline file annotation request.

The response for a single offline file annotation request.

Multiple async file annotation requests are batched into asingle service call.

Response to an async batch file annotation request.

Request for async image annotation for a list of images.

Response to an async batch image annotation request.

A list of requests to annotate files using theBatchAnnotateFiles API.

A list of file annotation responses.

Multiple image annotation requests are batched into a singleservice call.

Response to a batch image annotation request.

Metadata for the batch operations such as the current state.

This is included in themetadata field of theOperationreturned by theGetOperation call of thegoogle::longrunning::Operations service.

Enumerates the possible states that the batch request can bein.

Logical element on the page.

Type of a block (text, image etc) as identified by OCR.

A bounding polygon for the detected image annotation.

A Celebrity is a group of Faces with an identity.

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

Request message for theCreateProduct method.

Request message for theCreateProductSet method.

Request message for theCreateReferenceImage method.

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

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

Parameters for crop hints annotation request.

Request message for theDeleteProduct method.

Request message for theDeleteProductSet method.

Request message for theDeleteReferenceImage method.

Set of dominant colors and their corresponding scores.

Set of detected entity features.

A face annotation object contains the results of facedetection.

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

Face landmark (feature) type. Left and right are defined from thevantage of the viewer of the image without considering mirrorprojections typical of photos. So,LEFT_EYE, typically, is theperson's right eye.

Parameters for a celebrity recognition request.

Information about a face's identity.

The type of Google Cloud Vision API detection to perform, and themaximum number of results to return for that type. MultipleFeature objects can be specified in thefeatures list.

Type of Google Cloud Vision API feature to be extracted.

The Google Cloud Storage location where the output will bewritten to.

The Google Cloud Storage location where the input will beread from.

Request message for theGetProduct method.

Request message for theGetProductSet method.

Request message for theGetReferenceImage method.

Client image to perform Google Cloud Vision API tasks over.

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

Image context and/or feature-specific parameters.

Stores image properties, such as dominant colors.

External image source (Google Cloud Storage or web URL imagelocation).

The Google Cloud Storage location for a csv file whichpreserves a list of ImportProductSetRequests in each line.

The input content for theImportProductSets method.

.. _oneof:https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

Request message for theImportProductSets method.

Response message for theImportProductSets method.

This message is returned by thegoogle.longrunning.Operations.GetOperation][google.longrunning.Operations.GetOperation]method in the returnedgoogle.longrunning.Operation.response][google.longrunning.Operation.response]field.

The desired input location and metadata.

Rectangle determined by min and maxLatLng pairs.

A bucketized representation of likelihood, which is intendedto give clients highly stable results across model upgrades.

Request message for theListProductSets method.

Response message for theListProductSets method.

Request message for theListProductsInProductSet method.

Response message for theListProductsInProductSet method.

Request message for theListProducts method.

Response message for theListProducts method.

Request message for theListReferenceImages method.

Response message for theListReferenceImages method.

Set of detected objects with bounding boxes.

Detected entity location information.

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

Contains metadata for the BatchAnnotateImages operation.

Batch operation states.

The desired output location and metadata.

Detected page from OCR.

Structural unit of text representing a number of words incertain order.

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

A Product contains ReferenceImages.

A product label represented as a key-value pair.

Parameters for a product search request.

Results for a product search request.

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

Prediction for what the object in the bounding box is.

Information about a product.

A ProductSet contains Products. A ProductSet can contain amaximum of 1 million reference images. If the limit is exceeded,periodic indexing will fail.

Config to control which ProductSet contains the Products tobe deleted.

AProperty consists of a user-supplied name/value pair.

Request message for thePurgeProducts method.

This message hasoneof_ fields (mutually exclusive fields).For each oneof, at most one member field can be set at the same time.Setting any member of the oneof automatically clears all othermembers.

.. _oneof:https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

AReferenceImage represents a product image and its associatedmetadata, such as bounding boxes.

Request message for theRemoveProductFromProductSet method.

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

A single symbol representation.

TextAnnotation contains a structured representation of OCR extractedtext. The hierarchy of an OCR extracted text structure is like this:TextAnnotation -> Page -> Block -> Paragraph -> Word -> Symbol Eachstructural component, starting from Page, may further have their ownproperties. Properties describe detected languages, breaks etc..Please refer to theTextAnnotation.TextPropertymessage definition below for more detail.

Detected start or end of a structural component.

Enum to denote the type of break found. New line, space etc.

Detected language for a structural component.

Additional information detected on the structural component.

Parameters for text detections. This is used to controlTEXT_DETECTION and DOCUMENT_TEXT_DETECTION features.

Request message for theUpdateProduct method.

Request message for theUpdateProductSet method.

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

Relevant information for the image from the Internet.

Entity deduced from similar images on the Internet.

Metadata for online images.

Label to provide extra metadata for the web detection.

Metadata for web pages.

Parameters for web detection request.

A word representation.

API documentation forvision_v1.services.product_search.pagers module.

API documentation forvision_v1p3beta1.services.product_search.pagers module.

API documentation forvision_v1p4beta1.services.product_search.pagers module.