Types for Cloud Vision API Client#

class google.cloud.vision_v1.types.AddProductToProductSetRequest#

Request message for the AddProductToProductSet method.

name#

The resource name for the ProductSet to modify. Format is: `` projects/PROJECT_ID/locations/LOC_ID/productSets/PRODUCT_SET_I D``

product#

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

name

Field google.cloud.vision.v1.AddProductToProductSetRequest.name

product

Field google.cloud.vision.v1.AddProductToProductSetRequest.product

class google.cloud.vision_v1.types.AnnotateFileRequest#

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

input_config#

Required. Information about the input file.

features#

Required. Requested features.

image_context#

Additional context that may accompany the image(s) in the file.

pages#

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.

features

Field google.cloud.vision.v1.AnnotateFileRequest.features

image_context

Field google.cloud.vision.v1.AnnotateFileRequest.image_context

input_config

Field google.cloud.vision.v1.AnnotateFileRequest.input_config

pages

Field google.cloud.vision.v1.AnnotateFileRequest.pages

class google.cloud.vision_v1.types.AnnotateFileResponse#

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

input_config#

Information about the file for which this response is generated.

responses#

Individual responses to images found within the file.

total_pages#

This field gives the total number of pages in the file.

input_config

Field google.cloud.vision.v1.AnnotateFileResponse.input_config

responses

Field google.cloud.vision.v1.AnnotateFileResponse.responses

total_pages

Field google.cloud.vision.v1.AnnotateFileResponse.total_pages

class google.cloud.vision_v1.types.AnnotateImageRequest#

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

image#

The image to be processed.

features#

Requested features.

image_context#

Additional context that may accompany the image.

features

Field google.cloud.vision.v1.AnnotateImageRequest.features

image

Field google.cloud.vision.v1.AnnotateImageRequest.image

image_context

Field google.cloud.vision.v1.AnnotateImageRequest.image_context

class google.cloud.vision_v1.types.AnnotateImageResponse#

Response to an image annotation request.

face_annotations#

If present, face detection has completed successfully.

landmark_annotations#

If present, landmark detection has completed successfully.

logo_annotations#

If present, logo detection has completed successfully.

label_annotations#

If present, label detection has completed successfully.

localized_object_annotations#

If present, localized object detection has completed successfully. This will be sorted descending by confidence score.

text_annotations#

If present, text (OCR) detection has completed successfully.

full_text_annotation#

If present, text (OCR) detection or document (OCR) text detection has completed successfully. This annotation provides the structural hierarchy for the OCR detected text.

safe_search_annotation#

If present, safe-search annotation has completed successfully.

image_properties_annotation#

If present, image properties were extracted successfully.

crop_hints_annotation#

If present, crop hints have completed successfully.

web_detection#

If present, web detection has completed successfully.

product_search_results#

If present, product search has completed successfully.

error#

If set, represents the error message for the operation. Note that filled-in image annotations are guaranteed to be correct, even when error is set.

context#

If present, contextual information is needed to understand where this image comes from.

context

Field google.cloud.vision.v1.AnnotateImageResponse.context

crop_hints_annotation

Field google.cloud.vision.v1.AnnotateImageResponse.crop_hints_annotation

error

Field google.cloud.vision.v1.AnnotateImageResponse.error

face_annotations

Field google.cloud.vision.v1.AnnotateImageResponse.face_annotations

full_text_annotation

Field google.cloud.vision.v1.AnnotateImageResponse.full_text_annotation

image_properties_annotation

Field google.cloud.vision.v1.AnnotateImageResponse.image_properties_annotation

label_annotations

Field google.cloud.vision.v1.AnnotateImageResponse.label_annotations

landmark_annotations

Field google.cloud.vision.v1.AnnotateImageResponse.landmark_annotations

localized_object_annotations

Field google.cloud.vision.v1.AnnotateImageResponse.localized_object_annotations

logo_annotations

Field google.cloud.vision.v1.AnnotateImageResponse.logo_annotations

product_search_results

Field google.cloud.vision.v1.AnnotateImageResponse.product_search_results

safe_search_annotation

Field google.cloud.vision.v1.AnnotateImageResponse.safe_search_annotation

text_annotations

Field google.cloud.vision.v1.AnnotateImageResponse.text_annotations

web_detection

Field google.cloud.vision.v1.AnnotateImageResponse.web_detection

class google.cloud.vision_v1.types.Any#
type_url#

Field google.protobuf.Any.type_url

value#

Field google.protobuf.Any.value

class google.cloud.vision_v1.types.AsyncAnnotateFileRequest#

An offline file annotation request.

input_config#

Required. Information about the input file.

features#

Required. Requested features.

image_context#

Additional context that may accompany the image(s) in the file.

output_config#

Required. The desired output location and metadata (e.g. format).

features

Field google.cloud.vision.v1.AsyncAnnotateFileRequest.features

image_context

Field google.cloud.vision.v1.AsyncAnnotateFileRequest.image_context

input_config

Field google.cloud.vision.v1.AsyncAnnotateFileRequest.input_config

output_config

Field google.cloud.vision.v1.AsyncAnnotateFileRequest.output_config

class google.cloud.vision_v1.types.AsyncAnnotateFileResponse#

The response for a single offline file annotation request.

output_config#

The output location and metadata from AsyncAnnotateFileRequest.

output_config

Field google.cloud.vision.v1.AsyncAnnotateFileResponse.output_config

class google.cloud.vision_v1.types.AsyncBatchAnnotateFilesRequest#

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

requests#

Individual async file annotation requests for this batch.

requests

Field google.cloud.vision.v1.AsyncBatchAnnotateFilesRequest.requests

class google.cloud.vision_v1.types.AsyncBatchAnnotateFilesResponse#

Response to an async batch file annotation request.

responses#

The list of file annotation responses, one for each request in AsyncBatchAnnotateFilesRequest.

responses

Field google.cloud.vision.v1.AsyncBatchAnnotateFilesResponse.responses

class google.cloud.vision_v1.types.AsyncBatchAnnotateImagesRequest#

Request for async image annotation for a list of images.

requests#

Individual image annotation requests for this batch.

output_config#

Required. The desired output location and metadata (e.g. format).

output_config

Field google.cloud.vision.v1.AsyncBatchAnnotateImagesRequest.output_config

requests

Field google.cloud.vision.v1.AsyncBatchAnnotateImagesRequest.requests

class google.cloud.vision_v1.types.AsyncBatchAnnotateImagesResponse#

Response to an async batch image annotation request.

output_config#

The output location and metadata from AsyncBatchAnnotateImagesRequest.

output_config

Field google.cloud.vision.v1.AsyncBatchAnnotateImagesResponse.output_config

class google.cloud.vision_v1.types.BatchAnnotateFilesRequest#

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

requests#

The list of file annotation requests. Right now we support only one AnnotateFileRequest in BatchAnnotateFilesRequest.

requests

Field google.cloud.vision.v1.BatchAnnotateFilesRequest.requests

class google.cloud.vision_v1.types.BatchAnnotateFilesResponse#

A list of file annotation responses.

responses#

The list of file annotation responses, each response corresponding to each AnnotateFileRequest in BatchAnnotateFilesRequest.

responses

Field google.cloud.vision.v1.BatchAnnotateFilesResponse.responses

class google.cloud.vision_v1.types.BatchAnnotateImagesRequest#

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

requests#

Individual image annotation requests for this batch.

requests

Field google.cloud.vision.v1.BatchAnnotateImagesRequest.requests

class google.cloud.vision_v1.types.BatchAnnotateImagesResponse#

Response to a batch image annotation request.

responses#

Individual responses to image annotation requests within the batch.

responses

Field google.cloud.vision.v1.BatchAnnotateImagesResponse.responses

class google.cloud.vision_v1.types.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.

state#

The current state of the batch operation.

submit_time#

The time when the batch request was submitted to the server.

end_time#

The time when the batch request is finished and [google.longru nning.Operation.done][google.longrunning.Operation.done] is set to true.

end_time

Field google.cloud.vision.v1.BatchOperationMetadata.end_time

state

Field google.cloud.vision.v1.BatchOperationMetadata.state

submit_time

Field google.cloud.vision.v1.BatchOperationMetadata.submit_time

class google.cloud.vision_v1.types.Block#

Logical element on the page.

property#

Additional information detected for the block.

bounding_box#

The bounding box for the block. The vertices are in the order of top-left, top-right, bottom-right, bottom-left. When a rotation of the bounding box is detected the rotation is represented as around the top-left corner as defined when the text is read in the ‘natural’ orientation. For example: - when the text is horizontal it might look like: :: 0—-1 | | 3—-2 - when it’s rotated 180 degrees around the top-left corner it becomes: :: 2—-3 | | 1—-0 and the vertex order will still be (0, 1, 2, 3).

paragraphs#

List of paragraphs in this block (if this blocks is of type text).

block_type#

Detected block type (text, image etc) for this block.

confidence#

Confidence of the OCR results on the block. Range [0, 1].

block_type

Field google.cloud.vision.v1.Block.block_type

bounding_box

Field google.cloud.vision.v1.Block.bounding_box

confidence

Field google.cloud.vision.v1.Block.confidence

paragraphs

Field google.cloud.vision.v1.Block.paragraphs

property

Field google.cloud.vision.v1.Block.property

class google.cloud.vision_v1.types.BoolValue#
value#

Field google.protobuf.BoolValue.value

class google.cloud.vision_v1.types.BoundingPoly#

A bounding polygon for the detected image annotation.

vertices#

The bounding polygon vertices.

normalized_vertices#

The bounding polygon normalized vertices.

normalized_vertices

Field google.cloud.vision.v1.BoundingPoly.normalized_vertices

vertices

Field google.cloud.vision.v1.BoundingPoly.vertices

class google.cloud.vision_v1.types.BytesValue#
value#

Field google.protobuf.BytesValue.value

class google.cloud.vision_v1.types.CancelOperationRequest#
name#

Field google.longrunning.CancelOperationRequest.name

class google.cloud.vision_v1.types.Color#
alpha#

Field google.type.Color.alpha

blue#

Field google.type.Color.blue

green#

Field google.type.Color.green

red#

Field google.type.Color.red

class google.cloud.vision_v1.types.ColorInfo#

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

color#

RGB components of the color.

score#

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

pixel_fraction#

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

color

Field google.cloud.vision.v1.ColorInfo.color

pixel_fraction

Field google.cloud.vision.v1.ColorInfo.pixel_fraction

score

Field google.cloud.vision.v1.ColorInfo.score

class google.cloud.vision_v1.types.CreateProductRequest#

Request message for the CreateProduct method.

parent#

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

product#

The product to create.

product_id#

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 /.

parent

Field google.cloud.vision.v1.CreateProductRequest.parent

product

Field google.cloud.vision.v1.CreateProductRequest.product

product_id

Field google.cloud.vision.v1.CreateProductRequest.product_id

class google.cloud.vision_v1.types.CreateProductSetRequest#

Request message for the CreateProductSet method.

parent#

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

product_set#

The ProductSet to create.

product_set_id#

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 /.

parent

Field google.cloud.vision.v1.CreateProductSetRequest.parent

product_set

Field google.cloud.vision.v1.CreateProductSetRequest.product_set

product_set_id

Field google.cloud.vision.v1.CreateProductSetRequest.product_set_id

class google.cloud.vision_v1.types.CreateReferenceImageRequest#

Request message for the CreateReferenceImage method.

parent#

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

reference_image#

The reference image to create. If an image ID is specified, it is ignored.

reference_image_id#

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 /.

parent

Field google.cloud.vision.v1.CreateReferenceImageRequest.parent

reference_image

Field google.cloud.vision.v1.CreateReferenceImageRequest.reference_image

reference_image_id

Field google.cloud.vision.v1.CreateReferenceImageRequest.reference_image_id

class google.cloud.vision_v1.types.CropHint#

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

bounding_poly#

The bounding polygon for the crop region. The coordinates of the bounding box are in the original image’s scale.

confidence#

Confidence of this being a salient region. Range [0, 1].

importance_fraction#

Fraction of importance of this salient region with respect to the original image.

bounding_poly

Field google.cloud.vision.v1.CropHint.bounding_poly

confidence

Field google.cloud.vision.v1.CropHint.confidence

importance_fraction

Field google.cloud.vision.v1.CropHint.importance_fraction

class google.cloud.vision_v1.types.CropHintsAnnotation#

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

crop_hints#

Crop hint results.

crop_hints

Field google.cloud.vision.v1.CropHintsAnnotation.crop_hints

class google.cloud.vision_v1.types.CropHintsParams#

Parameters for crop hints annotation request.

aspect_ratios#

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.

aspect_ratios

Field google.cloud.vision.v1.CropHintsParams.aspect_ratios

class google.cloud.vision_v1.types.DeleteOperationRequest#
name#

Field google.longrunning.DeleteOperationRequest.name

class google.cloud.vision_v1.types.DeleteProductRequest#

Request message for the DeleteProduct method.

name#

Resource name of product to delete. Format is: projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID

name

Field google.cloud.vision.v1.DeleteProductRequest.name

class google.cloud.vision_v1.types.DeleteProductSetRequest#

Request message for the DeleteProductSet method.

name#

Resource name of the ProductSet to delete. Format is: proje cts/PROJECT_ID/locations/LOC_ID/productSets/PRODUCT_SET_ID

name

Field google.cloud.vision.v1.DeleteProductSetRequest.name

class google.cloud.vision_v1.types.DeleteReferenceImageRequest#

Request message for the DeleteReferenceImage method.

name#

The resource name of the reference image to delete. Format is: projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_I D/referenceImages/IMAGE_ID

name

Field google.cloud.vision.v1.DeleteReferenceImageRequest.name

class google.cloud.vision_v1.types.DominantColorsAnnotation#

Set of dominant colors and their corresponding scores.

colors#

RGB color values with their score and pixel fraction.

colors

Field google.cloud.vision.v1.DominantColorsAnnotation.colors

class google.cloud.vision_v1.types.DoubleValue#
value#

Field google.protobuf.DoubleValue.value

class google.cloud.vision_v1.types.Empty#
class google.cloud.vision_v1.types.EntityAnnotation#

Set of detected entity features.

mid#

Opaque entity ID. Some IDs may be available in Google Knowledge Graph Search API.

locale#

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

description#

Entity textual description, expressed in its locale language.

score#

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

confidence#

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].

topicality#

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].

bounding_poly#

Image region to which this entity belongs. Not produced for LABEL_DETECTION features.

locations#

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.

properties#

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

bounding_poly

Field google.cloud.vision.v1.EntityAnnotation.bounding_poly

confidence

Field google.cloud.vision.v1.EntityAnnotation.confidence

description

Field google.cloud.vision.v1.EntityAnnotation.description

locale

Field google.cloud.vision.v1.EntityAnnotation.locale

locations

Field google.cloud.vision.v1.EntityAnnotation.locations

mid

Field google.cloud.vision.v1.EntityAnnotation.mid

properties

Field google.cloud.vision.v1.EntityAnnotation.properties

score

Field google.cloud.vision.v1.EntityAnnotation.score

topicality

Field google.cloud.vision.v1.EntityAnnotation.topicality

class google.cloud.vision_v1.types.FaceAnnotation#

A face annotation object contains the results of face detection.

bounding_poly#

The bounding polygon around the face. The coordinates of the bounding box are in the original image’s scale. The bounding box is computed to “frame” the face in accordance with human expectations. It is based on the landmarker results. Note that one or more x and/or y coordinates may not be generated in the BoundingPoly (the polygon will be unbounded) if only a partial face appears in the image to be annotated.

fd_bounding_poly#

The fd_bounding_poly bounding polygon is tighter than the boundingPoly, and encloses only the skin part of the face. Typically, it is used to eliminate the face from any image analysis that detects the “amount of skin” visible in an image. It is not based on the landmarker results, only on the initial face detection, hence the fd (face detection) prefix.

landmarks#

Detected face landmarks.

roll_angle#

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].

pan_angle#

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].

tilt_angle#

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

detection_confidence#

Detection confidence. Range [0, 1].

landmarking_confidence#

Face landmarking confidence. Range [0, 1].

joy_likelihood#

Joy likelihood.

sorrow_likelihood#

Sorrow likelihood.

anger_likelihood#

Anger likelihood.

surprise_likelihood#

Surprise likelihood.

under_exposed_likelihood#

Under-exposed likelihood.

blurred_likelihood#

Blurred likelihood.

headwear_likelihood#

Headwear likelihood.

class Landmark#

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

type#

Face landmark type.

position#

Face landmark position.

position

Field google.cloud.vision.v1.FaceAnnotation.Landmark.position

type

Field google.cloud.vision.v1.FaceAnnotation.Landmark.type

anger_likelihood

Field google.cloud.vision.v1.FaceAnnotation.anger_likelihood

blurred_likelihood

Field google.cloud.vision.v1.FaceAnnotation.blurred_likelihood

bounding_poly

Field google.cloud.vision.v1.FaceAnnotation.bounding_poly

detection_confidence

Field google.cloud.vision.v1.FaceAnnotation.detection_confidence

fd_bounding_poly

Field google.cloud.vision.v1.FaceAnnotation.fd_bounding_poly

headwear_likelihood

Field google.cloud.vision.v1.FaceAnnotation.headwear_likelihood

joy_likelihood

Field google.cloud.vision.v1.FaceAnnotation.joy_likelihood

landmarking_confidence

Field google.cloud.vision.v1.FaceAnnotation.landmarking_confidence

landmarks

Field google.cloud.vision.v1.FaceAnnotation.landmarks

pan_angle

Field google.cloud.vision.v1.FaceAnnotation.pan_angle

roll_angle

Field google.cloud.vision.v1.FaceAnnotation.roll_angle

sorrow_likelihood

Field google.cloud.vision.v1.FaceAnnotation.sorrow_likelihood

surprise_likelihood

Field google.cloud.vision.v1.FaceAnnotation.surprise_likelihood

tilt_angle

Field google.cloud.vision.v1.FaceAnnotation.tilt_angle

under_exposed_likelihood

Field google.cloud.vision.v1.FaceAnnotation.under_exposed_likelihood

class google.cloud.vision_v1.types.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.

type#

The feature type.

max_results#

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

model#

Model to use for the feature. Supported values: “builtin/stable” (the default if unset) and “builtin/latest”.

max_results

Field google.cloud.vision.v1.Feature.max_results

model

Field google.cloud.vision.v1.Feature.model

type

Field google.cloud.vision.v1.Feature.type

class google.cloud.vision_v1.types.FieldMask#
paths#

Field google.protobuf.FieldMask.paths

class google.cloud.vision_v1.types.FloatValue#
value#

Field google.protobuf.FloatValue.value

class google.cloud.vision_v1.types.GcsDestination#

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

uri#

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.

uri

Field google.cloud.vision.v1.GcsDestination.uri

class google.cloud.vision_v1.types.GcsSource#

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

uri#

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

uri

Field google.cloud.vision.v1.GcsSource.uri

class google.cloud.vision_v1.types.GetOperationRequest#
name#

Field google.longrunning.GetOperationRequest.name

class google.cloud.vision_v1.types.GetProductRequest#

Request message for the GetProduct method.

name#

Resource name of the Product to get. Format is: projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID

name

Field google.cloud.vision.v1.GetProductRequest.name

class google.cloud.vision_v1.types.GetProductSetRequest#

Request message for the GetProductSet method.

name#

Resource name of the ProductSet to get. Format is: projects /PROJECT_ID/locations/LOG_ID/productSets/PRODUCT_SET_ID

name

Field google.cloud.vision.v1.GetProductSetRequest.name

class google.cloud.vision_v1.types.GetReferenceImageRequest#

Request message for the GetReferenceImage method.

name#

The resource name of the ReferenceImage to get. Format is: ` projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID/refe renceImages/IMAGE_ID`.

name

Field google.cloud.vision.v1.GetReferenceImageRequest.name

class google.cloud.vision_v1.types.Image#

Client image to perform Google Cloud Vision API tasks over.

content#

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.

source#

Google Cloud Storage image location, or publicly-accessible image URL. If both content and source are provided for an image, content takes precedence and is used to perform the image annotation request.

content

Field google.cloud.vision.v1.Image.content

source

Field google.cloud.vision.v1.Image.source

class google.cloud.vision_v1.types.ImageAnnotationContext#

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

uri#

The URI of the file used to produce the image.

page_number#

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

page_number

Field google.cloud.vision.v1.ImageAnnotationContext.page_number

uri

Field google.cloud.vision.v1.ImageAnnotationContext.uri

class google.cloud.vision_v1.types.ImageContext#

Image context and/or feature-specific parameters.

lat_long_rect#

Not used.

language_hints#

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.

crop_hints_params#

Parameters for crop hints annotation request.

product_search_params#

Parameters for product search.

web_detection_params#

Parameters for web detection.

crop_hints_params

Field google.cloud.vision.v1.ImageContext.crop_hints_params

language_hints

Field google.cloud.vision.v1.ImageContext.language_hints

lat_long_rect

Field google.cloud.vision.v1.ImageContext.lat_long_rect

product_search_params

Field google.cloud.vision.v1.ImageContext.product_search_params

web_detection_params

Field google.cloud.vision.v1.ImageContext.web_detection_params

class google.cloud.vision_v1.types.ImageProperties#

Stores image properties, such as dominant colors.

dominant_colors#

If present, dominant colors completed successfully.

dominant_colors

Field google.cloud.vision.v1.ImageProperties.dominant_colors

class google.cloud.vision_v1.types.ImageSource#

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

gcs_image_uri#

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.

image_uri#

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.

gcs_image_uri

Field google.cloud.vision.v1.ImageSource.gcs_image_uri

image_uri

Field google.cloud.vision.v1.ImageSource.image_uri

class google.cloud.vision_v1.types.ImportProductSetsGcsSource#

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

csv_file_uri#

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][google.cloud.vision.v1.Product.display_name], the product-category column refers to [product_category][ google.cloud.vision.v1.Product.product_category], and the labels column refers to [product_labels][google.cloud.vis ion.v1.Product.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][google.cloud.vision.v1.Product.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).

csv_file_uri

Field google.cloud.vision.v1.ImportProductSetsGcsSource.csv_file_uri

class google.cloud.vision_v1.types.ImportProductSetsInputConfig#

The input content for the ImportProductSets method.

source#

The source of the input.

gcs_source#

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

gcs_source

Field google.cloud.vision.v1.ImportProductSetsInputConfig.gcs_source

class google.cloud.vision_v1.types.ImportProductSetsRequest#

Request message for the ImportProductSets method.

parent#

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

input_config#

The input content for the list of requests.

input_config

Field google.cloud.vision.v1.ImportProductSetsRequest.input_config

parent

Field google.cloud.vision.v1.ImportProductSetsRequest.parent

class google.cloud.vision_v1.types.ImportProductSetsResponse#

Response message for the ImportProductSets method.

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

reference_images#

The list of reference_images that are imported successfully.

statuses#

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.

reference_images

Field google.cloud.vision.v1.ImportProductSetsResponse.reference_images

statuses

Field google.cloud.vision.v1.ImportProductSetsResponse.statuses

class google.cloud.vision_v1.types.InputConfig#

The desired input location and metadata.

gcs_source#

The Google Cloud Storage location to read the input from.

content#

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.

mime_type#

The type of the file. Currently only “application/pdf”, “image/tiff” and “image/gif” are supported. Wildcards are not supported.

content

Field google.cloud.vision.v1.InputConfig.content

gcs_source

Field google.cloud.vision.v1.InputConfig.gcs_source

mime_type

Field google.cloud.vision.v1.InputConfig.mime_type

class google.cloud.vision_v1.types.Int32Value#
value#

Field google.protobuf.Int32Value.value

class google.cloud.vision_v1.types.Int64Value#
value#

Field google.protobuf.Int64Value.value

class google.cloud.vision_v1.types.LatLng#
latitude#

Field google.type.LatLng.latitude

longitude#

Field google.type.LatLng.longitude

class google.cloud.vision_v1.types.LatLongRect#

Rectangle determined by min and max LatLng pairs.

min_lat_lng#

Min lat/long pair.

max_lat_lng#

Max lat/long pair.

max_lat_lng

Field google.cloud.vision.v1.LatLongRect.max_lat_lng

min_lat_lng

Field google.cloud.vision.v1.LatLongRect.min_lat_lng

class google.cloud.vision_v1.types.ListOperationsRequest#
filter#

Field google.longrunning.ListOperationsRequest.filter

name#

Field google.longrunning.ListOperationsRequest.name

page_size#

Field google.longrunning.ListOperationsRequest.page_size

page_token#

Field google.longrunning.ListOperationsRequest.page_token

class google.cloud.vision_v1.types.ListOperationsResponse#
next_page_token#

Field google.longrunning.ListOperationsResponse.next_page_token

operations#

Field google.longrunning.ListOperationsResponse.operations

class google.cloud.vision_v1.types.ListProductSetsRequest#

Request message for the ListProductSets method.

parent#

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

page_size#

The maximum number of items to return. Default 10, maximum 100.

page_token#

The next_page_token returned from a previous List request, if any.

page_size

Field google.cloud.vision.v1.ListProductSetsRequest.page_size

page_token

Field google.cloud.vision.v1.ListProductSetsRequest.page_token

parent

Field google.cloud.vision.v1.ListProductSetsRequest.parent

class google.cloud.vision_v1.types.ListProductSetsResponse#

Response message for the ListProductSets method.

product_sets#

List of ProductSets.

next_page_token#

Token to retrieve the next page of results, or empty if there are no more results in the list.

next_page_token

Field google.cloud.vision.v1.ListProductSetsResponse.next_page_token

product_sets

Field google.cloud.vision.v1.ListProductSetsResponse.product_sets

class google.cloud.vision_v1.types.ListProductsInProductSetRequest#

Request message for the ListProductsInProductSet method.

name#

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

page_size#

The maximum number of items to return. Default 10, maximum 100.

page_token#

The next_page_token returned from a previous List request, if any.

name

Field google.cloud.vision.v1.ListProductsInProductSetRequest.name

page_size

Field google.cloud.vision.v1.ListProductsInProductSetRequest.page_size

page_token

Field google.cloud.vision.v1.ListProductsInProductSetRequest.page_token

class google.cloud.vision_v1.types.ListProductsInProductSetResponse#

Response message for the ListProductsInProductSet method.

products#

The list of Products.

next_page_token#

Token to retrieve the next page of results, or empty if there are no more results in the list.

next_page_token

Field google.cloud.vision.v1.ListProductsInProductSetResponse.next_page_token

products

Field google.cloud.vision.v1.ListProductsInProductSetResponse.products

class google.cloud.vision_v1.types.ListProductsRequest#

Request message for the ListProducts method.

parent#

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

page_size#

The maximum number of items to return. Default 10, maximum 100.

page_token#

The next_page_token returned from a previous List request, if any.

page_size

Field google.cloud.vision.v1.ListProductsRequest.page_size

page_token

Field google.cloud.vision.v1.ListProductsRequest.page_token

parent

Field google.cloud.vision.v1.ListProductsRequest.parent

class google.cloud.vision_v1.types.ListProductsResponse#

Response message for the ListProducts method.

products#

List of products.

next_page_token#

Token to retrieve the next page of results, or empty if there are no more results in the list.

next_page_token

Field google.cloud.vision.v1.ListProductsResponse.next_page_token

products

Field google.cloud.vision.v1.ListProductsResponse.products

class google.cloud.vision_v1.types.ListReferenceImagesRequest#

Request message for the ListReferenceImages method.

parent#

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

page_size#

The maximum number of items to return. Default 10, maximum 100.

page_token#

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.

page_size

Field google.cloud.vision.v1.ListReferenceImagesRequest.page_size

page_token

Field google.cloud.vision.v1.ListReferenceImagesRequest.page_token

parent

Field google.cloud.vision.v1.ListReferenceImagesRequest.parent

class google.cloud.vision_v1.types.ListReferenceImagesResponse#

Response message for the ListReferenceImages method.

reference_images#

The list of reference images.

page_size#

The maximum number of items to return. Default 10, maximum 100.

next_page_token#

The next_page_token returned from a previous List request, if any.

next_page_token

Field google.cloud.vision.v1.ListReferenceImagesResponse.next_page_token

page_size

Field google.cloud.vision.v1.ListReferenceImagesResponse.page_size

reference_images

Field google.cloud.vision.v1.ListReferenceImagesResponse.reference_images

class google.cloud.vision_v1.types.LocalizedObjectAnnotation#

Set of detected objects with bounding boxes.

mid#

Object ID that should align with EntityAnnotation mid.

language_code#

The BCP-47 language code, such as “en-US” or “sr-Latn”. For more information, see http://www.unicode.org/reports/tr35/#Uni code_locale_identifier.

name#

Object name, expressed in its language_code language.

score#

Score of the result. Range [0, 1].

bounding_poly#

Image region to which this object belongs. This must be populated.

bounding_poly

Field google.cloud.vision.v1.LocalizedObjectAnnotation.bounding_poly

language_code

Field google.cloud.vision.v1.LocalizedObjectAnnotation.language_code

mid

Field google.cloud.vision.v1.LocalizedObjectAnnotation.mid

name

Field google.cloud.vision.v1.LocalizedObjectAnnotation.name

score

Field google.cloud.vision.v1.LocalizedObjectAnnotation.score

class google.cloud.vision_v1.types.LocationInfo#

Detected entity location information.

lat_lng#

lat/long location coordinates.

lat_lng

Field google.cloud.vision.v1.LocationInfo.lat_lng

class google.cloud.vision_v1.types.NormalizedVertex#

X coordinate.

y#

Y coordinate.

x#

Field google.cloud.vision.v1.NormalizedVertex.x

y

Field google.cloud.vision.v1.NormalizedVertex.y

class google.cloud.vision_v1.types.Operation#
deserialize()#

Creates new method instance from given serialized data.

done#

Field google.longrunning.Operation.done

error#

Field google.longrunning.Operation.error

metadata#

Field google.longrunning.Operation.metadata

name#

Field google.longrunning.Operation.name

response#

Field google.longrunning.Operation.response

class google.cloud.vision_v1.types.OperationInfo#
metadata_type#

Field google.longrunning.OperationInfo.metadata_type

response_type#

Field google.longrunning.OperationInfo.response_type

class google.cloud.vision_v1.types.OperationMetadata#

Contains metadata for the BatchAnnotateImages operation.

state#

Current state of the batch operation.

create_time#

The time when the batch request was received.

update_time#

The time when the operation result was last updated.

create_time

Field google.cloud.vision.v1.OperationMetadata.create_time

state

Field google.cloud.vision.v1.OperationMetadata.state

update_time

Field google.cloud.vision.v1.OperationMetadata.update_time

class google.cloud.vision_v1.types.OutputConfig#

The desired output location and metadata.

gcs_destination#

The Google Cloud Storage location to write the output(s) to.

batch_size#

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.

batch_size

Field google.cloud.vision.v1.OutputConfig.batch_size

gcs_destination

Field google.cloud.vision.v1.OutputConfig.gcs_destination

class google.cloud.vision_v1.types.Page#

Detected page from OCR.

property#

Additional information detected on the page.

width#

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

height#

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

blocks#

List of blocks of text, images etc on this page.

confidence#

Confidence of the OCR results on the page. Range [0, 1].

blocks

Field google.cloud.vision.v1.Page.blocks

confidence

Field google.cloud.vision.v1.Page.confidence

height

Field google.cloud.vision.v1.Page.height

property

Field google.cloud.vision.v1.Page.property

width

Field google.cloud.vision.v1.Page.width

class google.cloud.vision_v1.types.Paragraph#

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

property#

Additional information detected for the paragraph.

bounding_box#

The bounding box for the paragraph. The vertices are in the order of top-left, top-right, bottom-right, bottom-left. When a rotation of the bounding box is detected the rotation is represented as around the top-left corner as defined when the text is read in the ‘natural’ orientation. For example: * when the text is horizontal it might look like: 0—-1 | | 3 —-2 * when it’s rotated 180 degrees around the top-left corner it becomes: 2—-3 | | 1—-0 and the vertex order will still be (0, 1, 2, 3).

words#

List of words in this paragraph.

confidence#

Confidence of the OCR results for the paragraph. Range [0, 1].

bounding_box

Field google.cloud.vision.v1.Paragraph.bounding_box

confidence

Field google.cloud.vision.v1.Paragraph.confidence

property

Field google.cloud.vision.v1.Paragraph.property

words

Field google.cloud.vision.v1.Paragraph.words

class google.cloud.vision_v1.types.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.

x#

X coordinate.

y#

Y coordinate.

z#

Z coordinate (or depth).

x

Field google.cloud.vision.v1.Position.x

y

Field google.cloud.vision.v1.Position.y

z

Field google.cloud.vision.v1.Position.z

class google.cloud.vision_v1.types.Product#

A Product contains ReferenceImages.

name#

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.

display_name#

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

description#

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

product_category#

The category for the product identified by the reference image. This should be either “homegoods-v2”, “apparel-v2”, or “toys-v2”. 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. This field is immutable.

product_labels#

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 100 product_labels.

class KeyValue#

A product label represented as a key-value pair.

key#

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

value#

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

key

Field google.cloud.vision.v1.Product.KeyValue.key

value

Field google.cloud.vision.v1.Product.KeyValue.value

description

Field google.cloud.vision.v1.Product.description

display_name

Field google.cloud.vision.v1.Product.display_name

name

Field google.cloud.vision.v1.Product.name

product_category

Field google.cloud.vision.v1.Product.product_category

product_labels

Field google.cloud.vision.v1.Product.product_labels

class google.cloud.vision_v1.types.ProductSearchParams#

Parameters for a product search request.

bounding_poly#

The bounding polygon around the area of interest in the image. Optional. If it is not specified, system discretion will be applied.

product_set#

The resource name of a [ProductSet][google.cloud.vision.v1.ProductSet] to be searched for similar images. Format is: projects/PROJECT_ID/location s/LOC_ID/productSets/PRODUCT_SET_ID.

product_categories#

The list of product categories to search in. Currently, we only consider the first category, and either “homegoods-v2”, “apparel-v2”, or “toys-v2” 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.

filter#

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 ‘=’.

bounding_poly

Field google.cloud.vision.v1.ProductSearchParams.bounding_poly

filter

Field google.cloud.vision.v1.ProductSearchParams.filter

product_categories

Field google.cloud.vision.v1.ProductSearchParams.product_categories

product_set

Field google.cloud.vision.v1.ProductSearchParams.product_set

class google.cloud.vision_v1.types.ProductSearchResults#

Results for a product search request.

index_time#

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.

results#

List of results, one for each product match.

product_grouped_results#

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.

class GroupedResult#

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

bounding_poly#

The bounding polygon around the product detected in the query image.

results#

List of results, one for each product match.

bounding_poly

Field google.cloud.vision.v1.ProductSearchResults.GroupedResult.bounding_poly

results

Field google.cloud.vision.v1.ProductSearchResults.GroupedResult.results

class Result#

Information about a product.

product#

The Product.

score#

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

image#

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

image

Field google.cloud.vision.v1.ProductSearchResults.Result.image

product

Field google.cloud.vision.v1.ProductSearchResults.Result.product

score

Field google.cloud.vision.v1.ProductSearchResults.Result.score

index_time

Field google.cloud.vision.v1.ProductSearchResults.index_time

product_grouped_results

Field google.cloud.vision.v1.ProductSearchResults.product_grouped_results

results

Field google.cloud.vision.v1.ProductSearchResults.results

class google.cloud.vision_v1.types.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.

name#

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

display_name#

The user-provided name for this ProductSet. Must not be empty. Must be at most 4096 characters long.

index_time#

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.

index_error#

Output only. If there was an error with indexing the product set, the field is populated. This field is ignored when creating a ProductSet.

display_name

Field google.cloud.vision.v1.ProductSet.display_name

index_error

Field google.cloud.vision.v1.ProductSet.index_error

index_time

Field google.cloud.vision.v1.ProductSet.index_time

name

Field google.cloud.vision.v1.ProductSet.name

class google.cloud.vision_v1.types.Property#

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

name#

Name of the property.

value#

Value of the property.

uint64_value#

Value of numeric properties.

name

Field google.cloud.vision.v1.Property.name

uint64_value

Field google.cloud.vision.v1.Property.uint64_value

value

Field google.cloud.vision.v1.Property.value

class google.cloud.vision_v1.types.ReferenceImage#

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

name#

The resource name of the reference image. Format is: proje cts/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID/referenceI mages/IMAGE_ID. This field is ignored when creating a reference image.

uri#

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

bounding_polys#

Bounding polygons around the areas of interest in the reference image. Optional. 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).

bounding_polys

Field google.cloud.vision.v1.ReferenceImage.bounding_polys

name

Field google.cloud.vision.v1.ReferenceImage.name

uri

Field google.cloud.vision.v1.ReferenceImage.uri

class google.cloud.vision_v1.types.RemoveProductFromProductSetRequest#

Request message for the RemoveProductFromProductSet method.

name#

The resource name for the ProductSet to modify. Format is: `` projects/PROJECT_ID/locations/LOC_ID/productSets/PRODUCT_SET_I D``

product#

The resource name for the Product to be removed from this ProductSet. Format is: projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID

name

Field google.cloud.vision.v1.RemoveProductFromProductSetRequest.name

product

Field google.cloud.vision.v1.RemoveProductFromProductSetRequest.product

class google.cloud.vision_v1.types.SafeSearchAnnotation#

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

adult#

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

spoof#

Spoof likelihood. The likelihood that an modification was made to the image’s canonical version to make it appear funny or offensive.

medical#

Likelihood that this is a medical image.

violence#

Likelihood that this image contains violent content.

racy#

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.

adult

Field google.cloud.vision.v1.SafeSearchAnnotation.adult

medical

Field google.cloud.vision.v1.SafeSearchAnnotation.medical

racy

Field google.cloud.vision.v1.SafeSearchAnnotation.racy

spoof

Field google.cloud.vision.v1.SafeSearchAnnotation.spoof

violence

Field google.cloud.vision.v1.SafeSearchAnnotation.violence

class google.cloud.vision_v1.types.Status#
code#

Field google.rpc.Status.code

details#

Field google.rpc.Status.details

message#

Field google.rpc.Status.message

class google.cloud.vision_v1.types.StringValue#
value#

Field google.protobuf.StringValue.value

class google.cloud.vision_v1.types.Symbol#

A single symbol representation.

property#

Additional information detected for the symbol.

bounding_box#

The bounding box for the symbol. The vertices are in the order of top-left, top-right, bottom-right, bottom-left. When a rotation of the bounding box is detected the rotation is represented as around the top-left corner as defined when the text is read in the ‘natural’ orientation. For example: * when the text is horizontal it might look like: 0—-1 | | 3 —-2 * when it’s rotated 180 degrees around the top-left corner it becomes: 2—-3 | | 1—-0 and the vertice order will still be (0, 1, 2, 3).

text#

The actual UTF-8 representation of the symbol.

confidence#

Confidence of the OCR results for the symbol. Range [0, 1].

bounding_box

Field google.cloud.vision.v1.Symbol.bounding_box

confidence

Field google.cloud.vision.v1.Symbol.confidence

property

Field google.cloud.vision.v1.Symbol.property

text

Field google.cloud.vision.v1.Symbol.text

class google.cloud.vision_v1.types.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][google.cloud.vision.v1.TextAnnotation.TextProperty] message definition below for more detail.

pages#

List of pages detected by OCR.

text#

UTF-8 text detected on the pages.

class DetectedBreak#

Detected start or end of a structural component.

type#

Detected break type.

is_prefix#

True if break prepends the element.

is_prefix

Field google.cloud.vision.v1.TextAnnotation.DetectedBreak.is_prefix

type

Field google.cloud.vision.v1.TextAnnotation.DetectedBreak.type

class DetectedLanguage#

Detected language for a structural component.

language_code#

The BCP-47 language code, such as “en-US” or “sr-Latn”. For more information, see http://www.unicode.org/reports/tr35/#Uni code_locale_identifier.

confidence#

Confidence of detected language. Range [0, 1].

confidence

Field google.cloud.vision.v1.TextAnnotation.DetectedLanguage.confidence

language_code

Field google.cloud.vision.v1.TextAnnotation.DetectedLanguage.language_code

class TextProperty#

Additional information detected on the structural component.

detected_languages#

A list of detected languages together with confidence.

detected_break#

Detected start or end of a text segment.

detected_break

Field google.cloud.vision.v1.TextAnnotation.TextProperty.detected_break

detected_languages

Field google.cloud.vision.v1.TextAnnotation.TextProperty.detected_languages

pages

Field google.cloud.vision.v1.TextAnnotation.pages

text

Field google.cloud.vision.v1.TextAnnotation.text

class google.cloud.vision_v1.types.Timestamp#
nanos#

Field google.protobuf.Timestamp.nanos

seconds#

Field google.protobuf.Timestamp.seconds

class google.cloud.vision_v1.types.UInt32Value#
value#

Field google.protobuf.UInt32Value.value

class google.cloud.vision_v1.types.UInt64Value#
value#

Field google.protobuf.UInt64Value.value

class google.cloud.vision_v1.types.UpdateProductRequest#

Request message for the UpdateProduct method.

product#

The Product resource which replaces the one on the server. product.name is immutable.

update_mask#

The [FieldMask][google.protobuf.FieldMask] that specifies which fields to update. If update_mask isn’t specified, all mutable fields are to be updated. Valid mask paths include product_labels, display_name, and description.

product

Field google.cloud.vision.v1.UpdateProductRequest.product

update_mask

Field google.cloud.vision.v1.UpdateProductRequest.update_mask

class google.cloud.vision_v1.types.UpdateProductSetRequest#

Request message for the UpdateProductSet method.

product_set#

The ProductSet resource which replaces the one on the server.

update_mask#

The [FieldMask][google.protobuf.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.

product_set

Field google.cloud.vision.v1.UpdateProductSetRequest.product_set

update_mask

Field google.cloud.vision.v1.UpdateProductSetRequest.update_mask

class google.cloud.vision_v1.types.Vertex#

X coordinate.

y#

Y coordinate.

x#

Field google.cloud.vision.v1.Vertex.x

y

Field google.cloud.vision.v1.Vertex.y

class google.cloud.vision_v1.types.WebDetection#

Relevant information for the image from the Internet.

web_entities#

Deduced entities from similar images on the Internet.

full_matching_images#

Fully matching images from the Internet. Can include resized copies of the query image.

partial_matching_images#

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.

pages_with_matching_images#

Web pages containing the matching images from the Internet.

visually_similar_images#

The visually similar image results.

best_guess_labels#

The service’s best guess as to the topic of the request image. Inferred from similar images on the open web.

class WebEntity#

Entity deduced from similar images on the Internet.

entity_id#

Opaque entity ID.

score#

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

description#

Canonical description of the entity, in English.

description

Field google.cloud.vision.v1.WebDetection.WebEntity.description

entity_id

Field google.cloud.vision.v1.WebDetection.WebEntity.entity_id

score

Field google.cloud.vision.v1.WebDetection.WebEntity.score

class WebImage#

Metadata for online images.

url#

The result image URL.

score#

(Deprecated) Overall relevancy score for the image.

score

Field google.cloud.vision.v1.WebDetection.WebImage.score

url

Field google.cloud.vision.v1.WebDetection.WebImage.url

class WebLabel#

Label to provide extra metadata for the web detection.

label#

Label for extra metadata.

language_code#

The BCP-47 language code for label, such as “en-US” or “sr-Latn”. For more information, see http://www.unicode.org/re ports/tr35/#Unicode_locale_identifier.

label

Field google.cloud.vision.v1.WebDetection.WebLabel.label

language_code

Field google.cloud.vision.v1.WebDetection.WebLabel.language_code

class WebPage#

Metadata for web pages.

url#

The result web page URL.

score#

(Deprecated) Overall relevancy score for the web page.

page_title#

Title for the web page, may contain HTML markups.

full_matching_images#

Fully matching images on the page. Can include resized copies of the query image.

partial_matching_images#

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.

full_matching_images

Field google.cloud.vision.v1.WebDetection.WebPage.full_matching_images

page_title

Field google.cloud.vision.v1.WebDetection.WebPage.page_title

partial_matching_images

Field google.cloud.vision.v1.WebDetection.WebPage.partial_matching_images

score

Field google.cloud.vision.v1.WebDetection.WebPage.score

url

Field google.cloud.vision.v1.WebDetection.WebPage.url

best_guess_labels

Field google.cloud.vision.v1.WebDetection.best_guess_labels

full_matching_images

Field google.cloud.vision.v1.WebDetection.full_matching_images

pages_with_matching_images

Field google.cloud.vision.v1.WebDetection.pages_with_matching_images

partial_matching_images

Field google.cloud.vision.v1.WebDetection.partial_matching_images

visually_similar_images

Field google.cloud.vision.v1.WebDetection.visually_similar_images

web_entities

Field google.cloud.vision.v1.WebDetection.web_entities

class google.cloud.vision_v1.types.WebDetectionParams#

Parameters for web detection request.

include_geo_results#

Whether to include results derived from the geo information in the image.

include_geo_results

Field google.cloud.vision.v1.WebDetectionParams.include_geo_results

class google.cloud.vision_v1.types.Word#

A word representation.

property#

Additional information detected for the word.

bounding_box#

The bounding box for the word. The vertices are in the order of top-left, top-right, bottom-right, bottom-left. When a rotation of the bounding box is detected the rotation is represented as around the top-left corner as defined when the text is read in the ‘natural’ orientation. For example: * when the text is horizontal it might look like: 0—-1 | | 3 —-2 * when it’s rotated 180 degrees around the top-left corner it becomes: 2—-3 | | 1—-0 and the vertex order will still be (0, 1, 2, 3).

symbols#

List of symbols in the word. The order of the symbols follows the natural reading order.

confidence#

Confidence of the OCR results for the word. Range [0, 1].

bounding_box

Field google.cloud.vision.v1.Word.bounding_box

confidence

Field google.cloud.vision.v1.Word.confidence

property

Field google.cloud.vision.v1.Word.property

symbols

Field google.cloud.vision.v1.Word.symbols