Blame - docs/dyn/vision_v1p2beta1.projects.files.html - platform/external/python/google-api-python-client

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"features": [ # Required. Requested features.

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{ # The type of Google Cloud Vision API detection to perform, and the maximum

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# number of results to return for that type. Multiple `Feature` objects can

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# be specified in the `features` list.

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"type": "A String", # The feature type.

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"maxResults": 42, # Maximum number of results of this type. Does not apply to

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# `TEXT_DETECTION`, `DOCUMENT_TEXT_DETECTION`, or `CROP_HINTS`.

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"model": "A String", # Model to use for the feature.

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# Supported values: "builtin/stable" (the default if unset) and

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# "builtin/latest".

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},

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],

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"pages": [ # Pages of the file to perform image annotation.

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#

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# Pages starts from 1, we assume the first page of the file is page 1.

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# At most 5 pages are supported per request. Pages can be negative.

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#

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# Page 1 means the first page.

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# Page 2 means the second page.

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# Page -1 means the last page.

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# Page -2 means the second to the last page.

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#

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# If the file is GIF instead of PDF or TIFF, page refers to GIF frames.

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#

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# If this field is empty, by default the service performs image annotation

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# for the first 5 pages of the file.

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42,

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],

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"imageContext": { # Image context and/or feature-specific parameters. # Additional context that may accompany the image(s) in the file.

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"cropHintsParams": { # Parameters for crop hints annotation request. # Parameters for crop hints annotation request.

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"aspectRatios": [ # Aspect ratios in floats, representing the ratio of the width to the height

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# of the image. For example, if the desired aspect ratio is 4/3, the

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# corresponding float value should be 1.33333. If not specified, the

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# best possible crop is returned. The number of provided aspect ratios is

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# limited to a maximum of 16; any aspect ratios provided after the 16th are

# ignored.

3.14,

],

},

"productSearchParams": { # Parameters for a product search request. # Parameters for product search.

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"productCategories": [ # The list of product categories to search in. Currently, we only consider

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# the first category, and either "homegoods-v2", "apparel-v2", "toys-v2",

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# "packagedgoods-v1", or "general-v1" should be specified. The legacy

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# categories "homegoods", "apparel", and "toys" are still supported but will

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# be deprecated. For new products, please use "homegoods-v2", "apparel-v2",

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# or "toys-v2" for better product search accuracy. It is recommended to

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# migrate existing products to these categories as well.

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"A String",

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],

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"boundingPoly": { # A bounding polygon for the detected image annotation. # The bounding polygon around the area of interest in the image.

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# If it is not specified, system discretion will be applied.

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"vertices": [ # The bounding polygon vertices.

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{ # A vertex represents a 2D point in the image.

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# NOTE: the vertex coordinates are in the same scale as the original image.

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"x": 42, # X coordinate.

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"y": 42, # Y coordinate.

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},

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],

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"normalizedVertices": [ # The bounding polygon normalized vertices.

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{ # A vertex represents a 2D point in the image.

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# NOTE: the normalized vertex coordinates are relative to the original image

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# and range from 0 to 1.

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"x": 3.14, # X coordinate.

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"y": 3.14, # Y coordinate.

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},

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],

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},

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"productSet": "A String", # The resource name of a ProductSet to be searched for similar images.

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#

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# Format is:

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# `projects/PROJECT_ID/locations/LOC_ID/productSets/PRODUCT_SET_ID`.

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"filter": "A String", # The filtering expression. This can be used to restrict search results based

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# on Product labels. We currently support an AND of OR of key-value

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# expressions, where each expression within an OR must have the same key. An

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# '=' should be used to connect the key and value.

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#

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# For example, "(color = red OR color = blue) AND brand = Google" is

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# acceptable, but "(color = red OR brand = Google)" is not acceptable.

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# "color: red" is not acceptable because it uses a ':' instead of an '='.

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},

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"languageHints": [ # List of languages to use for TEXT_DETECTION. In most cases, an empty value

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# yields the best results since it enables automatic language detection. For

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# languages based on the Latin alphabet, setting `language_hints` is not

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# needed. In rare cases, when the language of the text in the image is known,

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# setting a hint will help get better results (although it will be a

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# significant hindrance if the hint is wrong). Text detection returns an

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# error if one or more of the specified languages is not one of the

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# [supported languages](https://cloud.google.com/vision/docs/languages).

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"A String",

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],

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"latLongRect": { # Rectangle determined by min and max `LatLng` pairs. # Not used.

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"maxLatLng": { # An object representing a latitude/longitude pair. This is expressed as a pair # Max lat/long pair.

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# of doubles representing degrees latitude and degrees longitude. Unless

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# specified otherwise, this must conform to the

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# <a href="http://www.unoosa.org/pdf/icg/2012/template/WGS_84.pdf">WGS84

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# standard</a>. Values must be within normalized ranges.

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"latitude": 3.14, # The latitude in degrees. It must be in the range [-90.0, +90.0].

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"longitude": 3.14, # The longitude in degrees. It must be in the range [-180.0, +180.0].

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},

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"minLatLng": { # An object representing a latitude/longitude pair. This is expressed as a pair # Min lat/long pair.

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# of doubles representing degrees latitude and degrees longitude. Unless

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# specified otherwise, this must conform to the

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# <a href="http://www.unoosa.org/pdf/icg/2012/template/WGS_84.pdf">WGS84

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# standard</a>. Values must be within normalized ranges.

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"latitude": 3.14, # The latitude in degrees. It must be in the range [-90.0, +90.0].

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"longitude": 3.14, # The longitude in degrees. It must be in the range [-180.0, +180.0].

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},

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},

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"webDetectionParams": { # Parameters for web detection request. # Parameters for web detection.

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"includeGeoResults": True or False, # Whether to include results derived from the geo information in the image.

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},

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},

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"inputConfig": { # The desired input location and metadata. # Required. Information about the input file.

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"content": "A String", # File content, represented as a stream of bytes.

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# Note: As with all `bytes` fields, protobuffers use a pure binary

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# representation, whereas JSON representations use base64.

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#

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# Currently, this field only works for BatchAnnotateFiles requests. It does

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# not work for AsyncBatchAnnotateFiles requests.

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"mimeType": "A String", # The type of the file. Currently only "application/pdf", "image/tiff" and

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# "image/gif" are supported. Wildcards are not supported.

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"gcsSource": { # The Google Cloud Storage location where the input will be read from. # The Google Cloud Storage location to read the input from.

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"uri": "A String", # Google Cloud Storage URI for the input file. This must only be a

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# Google Cloud Storage object. Wildcards are not currently supported.

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},

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},

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},

],

}

x__xgafv: string, V1 error format.

Allowed values

1 - v1 error format

2 - v2 error format

Returns:

An object of the form:

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{ # A list of file annotation responses.

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"responses": [ # The list of file annotation responses, each response corresponding to each

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# AnnotateFileRequest in BatchAnnotateFilesRequest.

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{ # Response to a single file annotation request. A file may contain one or more

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# images, which individually have their own responses.

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"inputConfig": { # The desired input location and metadata. # Information about the file for which this response is generated.

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"content": "A String", # File content, represented as a stream of bytes.

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# Note: As with all `bytes` fields, protobuffers use a pure binary

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# representation, whereas JSON representations use base64.

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#

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# Currently, this field only works for BatchAnnotateFiles requests. It does

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# not work for AsyncBatchAnnotateFiles requests.

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"mimeType": "A String", # The type of the file. Currently only "application/pdf", "image/tiff" and

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# "image/gif" are supported. Wildcards are not supported.

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"gcsSource": { # The Google Cloud Storage location where the input will be read from. # The Google Cloud Storage location to read the input from.

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"uri": "A String", # Google Cloud Storage URI for the input file. This must only be a

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# Google Cloud Storage object. Wildcards are not currently supported.

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},

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},

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"error": { # The `Status` type defines a logical error model that is suitable for # If set, represents the error message for the failed request. The

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# `responses` field will not be set in this case.

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# different programming environments, including REST APIs and RPC APIs. It is

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# used by [gRPC](https://github.com/grpc). Each `Status` message contains

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# three pieces of data: error code, error message, and error details.

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#

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# You can find out more about this error model and how to work with it in the

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# [API Design Guide](https://cloud.google.com/apis/design/errors).

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"code": 42, # The status code, which should be an enum value of google.rpc.Code.

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"details": [ # A list of messages that carry the error details. There is a common set of

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# message types for APIs to use.

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{

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"a_key": "", # Properties of the object. Contains field @type with type URL.

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},

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],

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"message": "A String", # A developer-facing error message, which should be in English. Any

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# user-facing error message should be localized and sent in the

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# google.rpc.Status.details field, or localized by the client.

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},

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"totalPages": 42, # This field gives the total number of pages in the file.

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"responses": [ # Individual responses to images found within the file. This field will be

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# empty if the `error` field is set.

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{ # Response to an image annotation request.

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"productSearchResults": { # Results for a product search request. # If present, product search has completed successfully.

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"indexTime": "A String", # Timestamp of the index which provided these results. Products added to the

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# product set and products removed from the product set after this time are

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# not reflected in the current results.

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"results": [ # List of results, one for each product match.

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{ # Information about a product.

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"score": 3.14, # A confidence level on the match, ranging from 0 (no confidence) to

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# 1 (full confidence).

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"image": "A String", # The resource name of the image from the product that is the closest match

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# to the query.

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"product": { # A Product contains ReferenceImages. # The Product.

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"displayName": "A String", # The user-provided name for this Product. Must not be empty. Must be at most

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# 4096 characters long.

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"name": "A String", # The resource name of the product.

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#

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# Format is:

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# `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID`.

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#

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# This field is ignored when creating a product.

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"description": "A String", # User-provided metadata to be stored with this product. Must be at most 4096

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# characters long.

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"productCategory": "A String", # Immutable. The category for the product identified by the reference image. This should

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# be either "homegoods-v2", "apparel-v2", or "toys-v2". The legacy categories

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# "homegoods", "apparel", and "toys" are still supported, but these should

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# not be used for new products.

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"productLabels": [ # Key-value pairs that can be attached to a product. At query time,

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# constraints can be specified based on the product_labels.

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#

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# Note that integer values can be provided as strings, e.g. "1199". Only

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# strings with integer values can match a range-based restriction which is

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# to be supported soon.

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#

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# Multiple values can be assigned to the same key. One product may have up to

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# 500 product_labels.

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#

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# Notice that the total number of distinct product_labels over all products

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# in one ProductSet cannot exceed 1M, otherwise the product search pipeline

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# will refuse to work for that ProductSet.

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{ # A product label represented as a key-value pair.

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"key": "A String", # The key of the label attached to the product. Cannot be empty and cannot

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# exceed 128 bytes.

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"value": "A String", # The value of the label attached to the product. Cannot be empty and

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# cannot exceed 128 bytes.

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},

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],

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},

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},

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],

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"productGroupedResults": [ # List of results grouped by products detected in the query image. Each entry

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# corresponds to one bounding polygon in the query image, and contains the

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# matching products specific to that region. There may be duplicate product

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# matches in the union of all the per-product results.

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{ # Information about the products similar to a single product in a query

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# image.

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"boundingPoly": { # A bounding polygon for the detected image annotation. # The bounding polygon around the product detected in the query image.

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"vertices": [ # The bounding polygon vertices.

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{ # A vertex represents a 2D point in the image.

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# NOTE: the vertex coordinates are in the same scale as the original image.

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"x": 42, # X coordinate.

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"y": 42, # Y coordinate.

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},

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],

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"normalizedVertices": [ # The bounding polygon normalized vertices.

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{ # A vertex represents a 2D point in the image.

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# NOTE: the normalized vertex coordinates are relative to the original image

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# and range from 0 to 1.

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"x": 3.14, # X coordinate.

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"y": 3.14, # Y coordinate.

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},

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],

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},

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"objectAnnotations": [ # List of generic predictions for the object in the bounding box.

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{ # Prediction for what the object in the bounding box is.

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"score": 3.14, # Score of the result. Range [0, 1].

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"languageCode": "A String", # The BCP-47 language code, such as "en-US" or "sr-Latn". For more

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# information, see

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# http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.

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"mid": "A String", # Object ID that should align with EntityAnnotation mid.

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"name": "A String", # Object name, expressed in its `language_code` language.

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},

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],

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"results": [ # List of results, one for each product match.

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{ # Information about a product.

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"score": 3.14, # A confidence level on the match, ranging from 0 (no confidence) to

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# 1 (full confidence).

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"image": "A String", # The resource name of the image from the product that is the closest match

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# to the query.

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"product": { # A Product contains ReferenceImages. # The Product.

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"displayName": "A String", # The user-provided name for this Product. Must not be empty. Must be at most

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# 4096 characters long.

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"name": "A String", # The resource name of the product.

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#

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# Format is:

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# `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID`.

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#

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# This field is ignored when creating a product.

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"description": "A String", # User-provided metadata to be stored with this product. Must be at most 4096

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# characters long.

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"productCategory": "A String", # Immutable. The category for the product identified by the reference image. This should

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# be either "homegoods-v2", "apparel-v2", or "toys-v2". The legacy categories

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# "homegoods", "apparel", and "toys" are still supported, but these should

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# not be used for new products.

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"productLabels": [ # Key-value pairs that can be attached to a product. At query time,

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# constraints can be specified based on the product_labels.

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#

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# Note that integer values can be provided as strings, e.g. "1199". Only

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# strings with integer values can match a range-based restriction which is

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# to be supported soon.

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#

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# Multiple values can be assigned to the same key. One product may have up to

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# 500 product_labels.

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#

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# Notice that the total number of distinct product_labels over all products

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# in one ProductSet cannot exceed 1M, otherwise the product search pipeline

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# will refuse to work for that ProductSet.

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{ # A product label represented as a key-value pair.

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"key": "A String", # The key of the label attached to the product. Cannot be empty and cannot

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# exceed 128 bytes.

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"value": "A String", # The value of the label attached to the product. Cannot be empty and

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# cannot exceed 128 bytes.

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},

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],

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},

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},

],

},

],

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},

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"textAnnotations": [ # If present, text (OCR) detection has completed successfully.

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{ # Set of detected entity features.

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"topicality": 3.14, # The relevancy of the ICA (Image Content Annotation) label to the

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# image. For example, the relevancy of "tower" is likely higher to an image

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# containing the detected "Eiffel Tower" than to an image containing a

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# detected distant towering building, even though the confidence that

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# there is a tower in each image may be the same. Range [0, 1].

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"locale": "A String", # The language code for the locale in which the entity textual

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# `description` is expressed.

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"locations": [ # The location information for the detected entity. Multiple

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# `LocationInfo` elements can be present because one location may

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# indicate the location of the scene in the image, and another location

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# may indicate the location of the place where the image was taken.

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# Location information is usually present for landmarks.

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{ # Detected entity location information.

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"latLng": { # An object representing a latitude/longitude pair. This is expressed as a pair # lat/long location coordinates.

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# of doubles representing degrees latitude and degrees longitude. Unless

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# specified otherwise, this must conform to the

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# <a href="http://www.unoosa.org/pdf/icg/2012/template/WGS_84.pdf">WGS84

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# standard</a>. Values must be within normalized ranges.

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"latitude": 3.14, # The latitude in degrees. It must be in the range [-90.0, +90.0].

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"longitude": 3.14, # The longitude in degrees. It must be in the range [-180.0, +180.0].

},

},

],

"mid": "A String", # Opaque entity ID. Some IDs may be available in

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# [Google Knowledge Graph Search

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# API](https://developers.google.com/knowledge-graph/).

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"description": "A String", # Entity textual description, expressed in its `locale` language.

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"confidence": 3.14, # **Deprecated. Use `score` instead.**

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# The accuracy of the entity detection in an image.

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# For example, for an image in which the "Eiffel Tower" entity is detected,

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# this field represents the confidence that there is a tower in the query

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# image. Range [0, 1].

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"boundingPoly": { # A bounding polygon for the detected image annotation. # Image region to which this entity belongs. Not produced

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# for `LABEL_DETECTION` features.

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"vertices": [ # The bounding polygon vertices.

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{ # A vertex represents a 2D point in the image.

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# NOTE: the vertex coordinates are in the same scale as the original image.

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"x": 42, # X coordinate.

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"y": 42, # Y coordinate.

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},

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],

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"normalizedVertices": [ # The bounding polygon normalized vertices.

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{ # A vertex represents a 2D point in the image.

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# NOTE: the normalized vertex coordinates are relative to the original image

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# and range from 0 to 1.

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"x": 3.14, # X coordinate.

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"y": 3.14, # Y coordinate.

},

],

},

"properties": [ # Some entities may have optional user-supplied `Property` (name/value)

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# fields, such a score or string that qualifies the entity.

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

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"uint64Value": "A String", # Value of numeric properties.

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"value": "A String", # Value of the property.

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"name": "A String", # Name of the property.

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},

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],

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"score": 3.14, # Overall score of the result. Range [0, 1].

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},

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],

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"safeSearchAnnotation": { # Set of features pertaining to the image, computed by computer vision # If present, safe-search annotation has completed successfully.

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# methods over safe-search verticals (for example, adult, spoof, medical,

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# violence).

500

"racy": "A String", # Likelihood that the request image contains racy content. Racy content may

501

# include (but is not limited to) skimpy or sheer clothing, strategically

502

# covered nudity, lewd or provocative poses, or close-ups of sensitive

503

# body areas.

504

"medical": "A String", # Likelihood that this is a medical image.

505

"adult": "A String", # Represents the adult content likelihood for the image. Adult content may

506

# contain elements such as nudity, pornographic images or cartoons, or

507

# sexual activities.

508

"violence": "A String", # Likelihood that this image contains violent content.

509

"spoof": "A String", # Spoof likelihood. The likelihood that an modification

510

# was made to the image's canonical version to make it appear

511

# funny or offensive.

512

},

513

"webDetection": { # Relevant information for the image from the Internet. # If present, web detection has completed successfully.

514

"fullMatchingImages": [ # Fully matching images from the Internet.

515

# Can include resized copies of the query image.

516

{ # Metadata for online images.

517

"score": 3.14, # (Deprecated) Overall relevancy score for the image.

518

"url": "A String", # The result image URL.

519

},

520

],

521

"bestGuessLabels": [ # The service's best guess as to the topic of the request image.

522

# Inferred from similar images on the open web.

523

{ # Label to provide extra metadata for the web detection.

524

"languageCode": "A String", # The BCP-47 language code for `label`, such as "en-US" or "sr-Latn".

525

# For more information, see

526

# http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.

527

"label": "A String", # Label for extra metadata.

528

},

529

],

530

"visuallySimilarImages": [ # The visually similar image results.

531

{ # Metadata for online images.

532

"score": 3.14, # (Deprecated) Overall relevancy score for the image.

533

"url": "A String", # The result image URL.

534

},

535

],

536

"partialMatchingImages": [ # Partial matching images from the Internet.

537

# Those images are similar enough to share some key-point features. For

538

# example an original image will likely have partial matching for its crops.

539

{ # Metadata for online images.

540

"score": 3.14, # (Deprecated) Overall relevancy score for the image.

541

"url": "A String", # The result image URL.

542

},

543

],

544

"webEntities": [ # Deduced entities from similar images on the Internet.

545

{ # Entity deduced from similar images on the Internet.

546

"entityId": "A String", # Opaque entity ID.

547

"score": 3.14, # Overall relevancy score for the entity.

548

# Not normalized and not comparable across different image queries.

549

"description": "A String", # Canonical description of the entity, in English.

550

},

551

],

552

"pagesWithMatchingImages": [ # Web pages containing the matching images from the Internet.

553

{ # Metadata for web pages.

554

"partialMatchingImages": [ # Partial matching images on the page.

555

# Those images are similar enough to share some key-point features. For

556

# example an original image will likely have partial matching for its

557

# crops.

558

{ # Metadata for online images.

559

"score": 3.14, # (Deprecated) Overall relevancy score for the image.

560

"url": "A String", # The result image URL.

561

},

562

],

563

"url": "A String", # The result web page URL.

564

"fullMatchingImages": [ # Fully matching images on the page.

565

# Can include resized copies of the query image.

566

{ # Metadata for online images.

567

"score": 3.14, # (Deprecated) Overall relevancy score for the image.

568

"url": "A String", # The result image URL.

569

},

570

],

571

"score": 3.14, # (Deprecated) Overall relevancy score for the web page.

572

"pageTitle": "A String", # Title for the web page, may contain HTML markups.

573

},

574

],

575

},

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576

"imagePropertiesAnnotation": { # Stores image properties, such as dominant colors. # If present, image properties were extracted successfully.

577

"dominantColors": { # Set of dominant colors and their corresponding scores. # If present, dominant colors completed successfully.

578

"colors": [ # RGB color values with their score and pixel fraction.

579

{ # Color information consists of RGB channels, score, and the fraction of

580

# the image that the color occupies in the image.

581

"pixelFraction": 3.14, # The fraction of pixels the color occupies in the image.

582

# Value in range [0, 1].

583

"color": { # Represents a color in the RGBA color space. This representation is designed # RGB components of the color.

584

# for simplicity of conversion to/from color representations in various

585

# languages over compactness; for example, the fields of this representation

586

# can be trivially provided to the constructor of "java.awt.Color" in Java; it

587

# can also be trivially provided to UIColor's "+colorWithRed:green:blue:alpha"

588

# method in iOS; and, with just a little work, it can be easily formatted into

589

# a CSS "rgba()" string in JavaScript, as well.

590

#

591

# Note: this proto does not carry information about the absolute color space

592

# that should be used to interpret the RGB value (e.g. sRGB, Adobe RGB,

593

# DCI-P3, BT.2020, etc.). By default, applications SHOULD assume the sRGB color

594

# space.

595

#

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[diff] [blame^]

596

# Note: when color equality needs to be decided, implementations, unless

597

# documented otherwise, will treat two colors to be equal if all their red,

598

# green, blue and alpha values each differ by at most 1e-5.

599

#

Bu Sun Kim

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[diff] [blame]

600

# Example (Java):

601

#

602

# import com.google.type.Color;

603

#

604

# // ...

605

# public static java.awt.Color fromProto(Color protocolor) {

606

# float alpha = protocolor.hasAlpha()

607

# ? protocolor.getAlpha().getValue()

608

# : 1.0;

609

#

610

# return new java.awt.Color(

611

# protocolor.getRed(),

612

# protocolor.getGreen(),

613

# protocolor.getBlue(),

# alpha);

# }

#

# public static Color toProto(java.awt.Color color) {

618

# float red = (float) color.getRed();

619

# float green = (float) color.getGreen();

620

# float blue = (float) color.getBlue();

621

# float denominator = 255.0;

622

# Color.Builder resultBuilder =

623

# Color

624

# .newBuilder()

625

# .setRed(red / denominator)

626

# .setGreen(green / denominator)

627

# .setBlue(blue / denominator);

628

# int alpha = color.getAlpha();

629

# if (alpha != 255) {

# result.setAlpha(

# FloatValue

# .newBuilder()

# .setValue(((float) alpha) / denominator)

634

# .build());

635

# }

636

# return resultBuilder.build();

# }

# // ...

#

# Example (iOS / Obj-C):

641

#

642

# // ...

643

# static UIColor* fromProto(Color* protocolor) {

644

# float red = [protocolor red];

645

# float green = [protocolor green];

646

# float blue = [protocolor blue];

647

# FloatValue* alpha_wrapper = [protocolor alpha];

648

# float alpha = 1.0;

649

# if (alpha_wrapper != nil) {

650

# alpha = [alpha_wrapper value];

651

# }

652

# return [UIColor colorWithRed:red green:green blue:blue alpha:alpha];

653

# }

654

#

655

# static Color* toProto(UIColor* color) {

656

# CGFloat red, green, blue, alpha;

657

# if (![color getRed:&red green:&green blue:&blue alpha:&alpha]) {

658

# return nil;

659

# }

660

# Color* result = [[Color alloc] init];

661

# [result setRed:red];

662

# [result setGreen:green];

663

# [result setBlue:blue];

664

# if (alpha <= 0.9999) {

665

# [result setAlpha:floatWrapperWithValue(alpha)];

666

# }

667

# [result autorelease];

# return result;

# }

# // ...

#

# Example (JavaScript):

#

# // ...

#

# var protoToCssColor = function(rgb_color) {

677

# var redFrac = rgb_color.red || 0.0;

678

# var greenFrac = rgb_color.green || 0.0;

679

# var blueFrac = rgb_color.blue || 0.0;

680

# var red = Math.floor(redFrac * 255);

681

# var green = Math.floor(greenFrac * 255);

682

# var blue = Math.floor(blueFrac * 255);

683

#

684

# if (!('alpha' in rgb_color)) {

685

# return rgbToCssColor_(red, green, blue);

686

# }

687

#

688

# var alphaFrac = rgb_color.alpha.value || 0.0;

689

# var rgbParams = [red, green, blue].join(',');

690

# return ['rgba(', rgbParams, ',', alphaFrac, ')'].join('');

691

# };

692

#

693

# var rgbToCssColor_ = function(red, green, blue) {

694

# var rgbNumber = new Number((red << 16) | (green << 8) | blue);

695

# var hexString = rgbNumber.toString(16);

696

# var missingZeros = 6 - hexString.length;

697

# var resultBuilder = ['#'];

698

# for (var i = 0; i < missingZeros; i++) {

699

# resultBuilder.push('0');

700

# }

701

# resultBuilder.push(hexString);

702

# return resultBuilder.join('');

703

# };

704

#

705

# // ...

Bu Sun Kim

2020-07-22 17:02:09 -0700

[diff] [blame^]

706

"red": 3.14, # The amount of red in the color as a value in the interval [0, 1].

Bu Sun Kim

2020-05-20 12:08:20 -0700

[diff] [blame]

707

"alpha": 3.14, # The fraction of this color that should be applied to the pixel. That is,

708

# the final pixel color is defined by the equation:

709

#

710

# pixel color = alpha * (this color) + (1.0 - alpha) * (background color)

711

#

712

# This means that a value of 1.0 corresponds to a solid color, whereas

713

# a value of 0.0 corresponds to a completely transparent color. This

714

# uses a wrapper message rather than a simple float scalar so that it is

715

# possible to distinguish between a default value and the value being unset.

716

# If omitted, this color object is to be rendered as a solid color

717

# (as if the alpha value had been explicitly given with a value of 1.0).

Bu Sun Kim

2020-07-22 17:02:09 -0700

[diff] [blame^]

718

"blue": 3.14, # The amount of blue in the color as a value in the interval [0, 1].

719

"green": 3.14, # The amount of green in the color as a value in the interval [0, 1].

Bu Sun Kim

2020-05-20 12:08:20 -0700

[diff] [blame]

720

},

721

"score": 3.14, # Image-specific score for this color. Value in range [0, 1].

},

],

},

},

Bu Sun Kim

2020-07-22 17:02:09 -0700

[diff] [blame^]

726

"cropHintsAnnotation": { # Set of crop hints that are used to generate new crops when serving images. # If present, crop hints have completed successfully.

727

"cropHints": [ # Crop hint results.

728

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

729

"boundingPoly": { # A bounding polygon for the detected image annotation. # The bounding polygon for the crop region. The coordinates of the bounding

730

# box are in the original image's scale.

731

"vertices": [ # The bounding polygon vertices.

732

{ # A vertex represents a 2D point in the image.

733

# NOTE: the vertex coordinates are in the same scale as the original image.

734

"x": 42, # X coordinate.

735

"y": 42, # Y coordinate.

736

},

737

],

738

"normalizedVertices": [ # The bounding polygon normalized vertices.

739

{ # A vertex represents a 2D point in the image.

740

# NOTE: the normalized vertex coordinates are relative to the original image

741

# and range from 0 to 1.

742

"x": 3.14, # X coordinate.

743

"y": 3.14, # Y coordinate.

},

],

},

"importanceFraction": 3.14, # Fraction of importance of this salient region with respect to the original

748

# image.

749

"confidence": 3.14, # Confidence of this being a salient region. Range [0, 1].

},

],

},

"fullTextAnnotation": { # TextAnnotation contains a structured representation of OCR extracted text. # If present, text (OCR) detection or document (OCR) text detection has

754

# completed successfully.

755

# This annotation provides the structural hierarchy for the OCR detected

756

# text.

757

# The hierarchy of an OCR extracted text structure is like this:

758

# TextAnnotation -> Page -> Block -> Paragraph -> Word -> Symbol

759

# Each structural component, starting from Page, may further have their own

760

# properties. Properties describe detected languages, breaks etc.. Please refer

761

# to the TextAnnotation.TextProperty message definition below for more

762

# detail.

763

"text": "A String", # UTF-8 text detected on the pages.

764

"pages": [ # List of pages detected by OCR.

765

{ # Detected page from OCR.

766

"blocks": [ # List of blocks of text, images etc on this page.

767

{ # Logical element on the page.

768

"blockType": "A String", # Detected block type (text, image etc) for this block.

769

"paragraphs": [ # List of paragraphs in this block (if this blocks is of type text).

770

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

771

"confidence": 3.14, # Confidence of the OCR results for the paragraph. Range [0, 1].

772

"property": { # Additional information detected on the structural component. # Additional information detected for the paragraph.

773

"detectedBreak": { # Detected start or end of a structural component. # Detected start or end of a text segment.

774

"type": "A String", # Detected break type.

775

"isPrefix": True or False, # True if break prepends the element.

776

},

777

"detectedLanguages": [ # A list of detected languages together with confidence.

778

{ # Detected language for a structural component.

779

"confidence": 3.14, # Confidence of detected language. Range [0, 1].

780

"languageCode": "A String", # The BCP-47 language code, such as "en-US" or "sr-Latn". For more

781

# information, see

782

# http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.

},

],

},

"boundingBox": { # A bounding polygon for the detected image annotation. # The bounding box for the paragraph.

787

# The vertices are in the order of top-left, top-right, bottom-right,

788

# bottom-left. When a rotation of the bounding box is detected the rotation

789

# is represented as around the top-left corner as defined when the text is

790

# read in the 'natural' orientation.

791

# For example:

792

# * 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).

801

"vertices": [ # The bounding polygon vertices.

802

{ # A vertex represents a 2D point in the image.

803

# NOTE: the vertex coordinates are in the same scale as the original image.

804

"x": 42, # X coordinate.

805

"y": 42, # Y coordinate.

806

},

807

],

808

"normalizedVertices": [ # The bounding polygon normalized vertices.

809

{ # A vertex represents a 2D point in the image.

810

# NOTE: the normalized vertex coordinates are relative to the original image

811

# and range from 0 to 1.

812

"x": 3.14, # X coordinate.

813

"y": 3.14, # Y coordinate.

},

],

},

"words": [ # List of all words in this paragraph.

818

{ # A word representation.

819

"confidence": 3.14, # Confidence of the OCR results for the word. Range [0, 1].

820

"boundingBox": { # A bounding polygon for the detected image annotation. # The bounding box for the word.

821

# The vertices are in the order of top-left, top-right, bottom-right,

822

# bottom-left. When a rotation of the bounding box is detected the rotation

823

# is represented as around the top-left corner as defined when the text is

824

# read in the 'natural' orientation.

825

# For example:

826

# * 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).

835

"vertices": [ # The bounding polygon vertices.

836

{ # A vertex represents a 2D point in the image.

837

# NOTE: the vertex coordinates are in the same scale as the original image.

838

"x": 42, # X coordinate.

839

"y": 42, # Y coordinate.

840

},

841

],

842

"normalizedVertices": [ # The bounding polygon normalized vertices.

843

{ # A vertex represents a 2D point in the image.

844

# NOTE: the normalized vertex coordinates are relative to the original image

845

# and range from 0 to 1.

846

"x": 3.14, # X coordinate.

847

"y": 3.14, # Y coordinate.

},

],

},

"property": { # Additional information detected on the structural component. # Additional information detected for the word.

852

"detectedBreak": { # Detected start or end of a structural component. # Detected start or end of a text segment.

853

"type": "A String", # Detected break type.

854

"isPrefix": True or False, # True if break prepends the element.

855

},

856

"detectedLanguages": [ # A list of detected languages together with confidence.

857

{ # Detected language for a structural component.

858

"confidence": 3.14, # Confidence of detected language. Range [0, 1].

859

"languageCode": "A String", # The BCP-47 language code, such as "en-US" or "sr-Latn". For more

860

# information, see

861

# http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.

},

],

},

"symbols": [ # List of symbols in the word.

866

# The order of the symbols follows the natural reading order.

867

{ # A single symbol representation.

868

"confidence": 3.14, # Confidence of the OCR results for the symbol. Range [0, 1].

869

"property": { # Additional information detected on the structural component. # Additional information detected for the symbol.

870

"detectedBreak": { # Detected start or end of a structural component. # Detected start or end of a text segment.

871

"type": "A String", # Detected break type.

872

"isPrefix": True or False, # True if break prepends the element.

873

},

874

"detectedLanguages": [ # A list of detected languages together with confidence.

875

{ # Detected language for a structural component.

876

"confidence": 3.14, # Confidence of detected language. Range [0, 1].

877

"languageCode": "A String", # The BCP-47 language code, such as "en-US" or "sr-Latn". For more

878

# information, see

879

# http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.

},

],

},

"text": "A String", # The actual UTF-8 representation of the symbol.

884

"boundingBox": { # A bounding polygon for the detected image annotation. # The bounding box for the symbol.

885

# The vertices are in the order of top-left, top-right, bottom-right,

886

# bottom-left. When a rotation of the bounding box is detected the rotation

887

# is represented as around the top-left corner as defined when the text is

888

# read in the 'natural' orientation.

889

# For example:

890

# * 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).

899

"vertices": [ # The bounding polygon vertices.

900

{ # A vertex represents a 2D point in the image.

901

# NOTE: the vertex coordinates are in the same scale as the original image.

902

"x": 42, # X coordinate.

903

"y": 42, # Y coordinate.

904

},

905

],

906

"normalizedVertices": [ # The bounding polygon normalized vertices.

907

{ # A vertex represents a 2D point in the image.

908

# NOTE: the normalized vertex coordinates are relative to the original image

909

# and range from 0 to 1.

910

"x": 3.14, # X coordinate.

911

"y": 3.14, # Y coordinate.

},

],

},

},

],

},

],

},

],

"boundingBox": { # A bounding polygon for the detected image annotation. # The bounding box for the block.

922

# The vertices are in the order of top-left, top-right, bottom-right,

923

# bottom-left. When a rotation of the bounding box is detected the rotation

924

# is represented as around the top-left corner as defined when the text is

925

# read in the 'natural' orientation.

926

# For example:

927

#

928

# * 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).

941

"vertices": [ # The bounding polygon vertices.

942

{ # A vertex represents a 2D point in the image.

943

# NOTE: the vertex coordinates are in the same scale as the original image.

944

"x": 42, # X coordinate.

945

"y": 42, # Y coordinate.

946

},

947

],

948

"normalizedVertices": [ # The bounding polygon normalized vertices.

949

{ # A vertex represents a 2D point in the image.

950

# NOTE: the normalized vertex coordinates are relative to the original image

951

# and range from 0 to 1.

952

"x": 3.14, # X coordinate.

953

"y": 3.14, # Y coordinate.

},

],

},

"confidence": 3.14, # Confidence of the OCR results on the block. Range [0, 1].

958

"property": { # Additional information detected on the structural component. # Additional information detected for the block.

959

"detectedBreak": { # Detected start or end of a structural component. # Detected start or end of a text segment.

960

"type": "A String", # Detected break type.

961

"isPrefix": True or False, # True if break prepends the element.

962

},

963

"detectedLanguages": [ # A list of detected languages together with confidence.

964

{ # Detected language for a structural component.

965

"confidence": 3.14, # Confidence of detected language. Range [0, 1].

966

"languageCode": "A String", # The BCP-47 language code, such as "en-US" or "sr-Latn". For more

967

# information, see

968

# http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.

},

],

},

},

],

"property": { # Additional information detected on the structural component. # Additional information detected on the page.

975

"detectedBreak": { # Detected start or end of a structural component. # Detected start or end of a text segment.

976

"type": "A String", # Detected break type.

977

"isPrefix": True or False, # True if break prepends the element.

978

},

979

"detectedLanguages": [ # A list of detected languages together with confidence.

980

{ # Detected language for a structural component.

981

"confidence": 3.14, # Confidence of detected language. Range [0, 1].

982

"languageCode": "A String", # The BCP-47 language code, such as "en-US" or "sr-Latn". For more

983

# information, see

984

# http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.

},

],

},

"width": 42, # Page width. For PDFs the unit is points. For images (including

989

# TIFFs) the unit is pixels.

990

"confidence": 3.14, # Confidence of the OCR results on the page. Range [0, 1].

991

"height": 42, # Page height. For PDFs the unit is points. For images (including

992

# TIFFs) the unit is pixels.

},

],

},

"error": { # The `Status` type defines a logical error model that is suitable for # If set, represents the error message for the operation.

997

# Note that filled-in image annotations are guaranteed to be

998

# correct, even when `error` is set.

999

# different programming environments, including REST APIs and RPC APIs. It is

1000

# used by [gRPC](https://github.com/grpc). Each `Status` message contains

1001

# three pieces of data: error code, error message, and error details.

1002

#

1003

# You can find out more about this error model and how to work with it in the

1004

# [API Design Guide](https://cloud.google.com/apis/design/errors).

1005

"code": 42, # The status code, which should be an enum value of google.rpc.Code.

1006

"details": [ # A list of messages that carry the error details. There is a common set of

1007

# message types for APIs to use.

1008

{

1009

"a_key": "", # Properties of the object. Contains field @type with type URL.

1010

},

1011

],

1012

"message": "A String", # A developer-facing error message, which should be in English. Any

1013

# user-facing error message should be localized and sent in the

1014

# google.rpc.Status.details field, or localized by the client.

1015

},

1016

"localizedObjectAnnotations": [ # If present, localized object detection has completed successfully.

1017

# This will be sorted descending by confidence score.

1018

{ # Set of detected objects with bounding boxes.

1019

"boundingPoly": { # A bounding polygon for the detected image annotation. # Image region to which this object belongs. This must be populated.

1020

"vertices": [ # The bounding polygon vertices.

1021

{ # A vertex represents a 2D point in the image.

1022

# NOTE: the vertex coordinates are in the same scale as the original image.

1023

"x": 42, # X coordinate.

1024

"y": 42, # Y coordinate.

1025

},

1026

],

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2020-05-27 12:20:54 -0700

[diff] [blame]

1027

"normalizedVertices": [ # The bounding polygon normalized vertices.

1028

{ # A vertex represents a 2D point in the image.

1029

# NOTE: the normalized vertex coordinates are relative to the original image

1030

# and range from 0 to 1.

1031

"x": 3.14, # X coordinate.

1032

"y": 3.14, # Y coordinate.

1033

},

1034

],

Bu Sun Kim

2020-05-27 12:20:54 -0700

[diff] [blame]

1035

},

Bu Sun Kim

2020-07-22 17:02:09 -0700

[diff] [blame^]

1036

"name": "A String", # Object name, expressed in its `language_code` language.

1037

"mid": "A String", # Object ID that should align with EntityAnnotation mid.

1038

"languageCode": "A String", # The BCP-47 language code, such as "en-US" or "sr-Latn". For more

1039

# information, see

1040

# http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.

1041

"score": 3.14, # Score of the result. Range [0, 1].

1042

},

1043

],

1044

"labelAnnotations": [ # If present, label detection has completed successfully.

1045

{ # Set of detected entity features.

Bu Sun Kim

2020-05-27 12:20:54 -0700

[diff] [blame]

1046

"topicality": 3.14, # The relevancy of the ICA (Image Content Annotation) label to the

1047

# image. For example, the relevancy of "tower" is likely higher to an image

1048

# containing the detected "Eiffel Tower" than to an image containing a

1049

# detected distant towering building, even though the confidence that

1050

# there is a tower in each image may be the same. Range [0, 1].

Bu Sun Kim

2020-07-22 17:02:09 -0700

[diff] [blame^]

1051

"locale": "A String", # The language code for the locale in which the entity textual

1052

# `description` is expressed.

Bu Sun Kim

2020-05-27 12:20:54 -0700

[diff] [blame]

1053

"locations": [ # The location information for the detected entity. Multiple

1054

# `LocationInfo` elements can be present because one location may

1055

# indicate the location of the scene in the image, and another location

1056

# may indicate the location of the place where the image was taken.

1057

# Location information is usually present for landmarks.

1058

{ # Detected entity location information.

1059

"latLng": { # An object representing a latitude/longitude pair. This is expressed as a pair # lat/long location coordinates.

1060

# of doubles representing degrees latitude and degrees longitude. Unless

1061

# specified otherwise, this must conform to the

1062

# <a href="http://www.unoosa.org/pdf/icg/2012/template/WGS_84.pdf">WGS84

1063

# standard</a>. Values must be within normalized ranges.

1064

"latitude": 3.14, # The latitude in degrees. It must be in the range [-90.0, +90.0].

1065

"longitude": 3.14, # The longitude in degrees. It must be in the range [-180.0, +180.0].

},

},

],

"mid": "A String", # Opaque entity ID. Some IDs may be available in

1070

# [Google Knowledge Graph Search

1071

# API](https://developers.google.com/knowledge-graph/).

Bu Sun Kim

2020-07-22 17:02:09 -0700

[diff] [blame^]

1072

"description": "A String", # Entity textual description, expressed in its `locale` language.

Bu Sun Kim

2020-05-27 12:20:54 -0700

[diff] [blame]

1073

"confidence": 3.14, # **Deprecated. Use `score` instead.**

1074

# The accuracy of the entity detection in an image.

1075

# For example, for an image in which the "Eiffel Tower" entity is detected,

1076

# this field represents the confidence that there is a tower in the query

1077

# image. Range [0, 1].

Bu Sun Kim

2020-07-22 17:02:09 -0700

[diff] [blame^]

1078

"boundingPoly": { # A bounding polygon for the detected image annotation. # Image region to which this entity belongs. Not produced

1079

# for `LABEL_DETECTION` features.

1080

"vertices": [ # The bounding polygon vertices.

1081

{ # A vertex represents a 2D point in the image.

1082

# NOTE: the vertex coordinates are in the same scale as the original image.

1083

"x": 42, # X coordinate.

1084

"y": 42, # Y coordinate.

1085

},

1086

],

1087

"normalizedVertices": [ # The bounding polygon normalized vertices.

1088

{ # A vertex represents a 2D point in the image.

1089

# NOTE: the normalized vertex coordinates are relative to the original image

1090

# and range from 0 to 1.

1091

"x": 3.14, # X coordinate.

1092

"y": 3.14, # Y coordinate.

},

],

},

"properties": [ # Some entities may have optional user-supplied `Property` (name/value)

1097

# fields, such a score or string that qualifies the entity.

1098

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

1099

"uint64Value": "A String", # Value of numeric properties.

1100

"value": "A String", # Value of the property.

1101

"name": "A String", # Name of the property.

1102

},

1103

],

1104

"score": 3.14, # Overall score of the result. Range [0, 1].

1105

},

1106

],

1107

"logoAnnotations": [ # If present, logo detection has completed successfully.

1108

{ # Set of detected entity features.

1109

"topicality": 3.14, # The relevancy of the ICA (Image Content Annotation) label to the

1110

# image. For example, the relevancy of "tower" is likely higher to an image

1111

# containing the detected "Eiffel Tower" than to an image containing a

1112

# detected distant towering building, even though the confidence that

1113

# there is a tower in each image may be the same. Range [0, 1].

1114

"locale": "A String", # The language code for the locale in which the entity textual

1115

# `description` is expressed.

1116

"locations": [ # The location information for the detected entity. Multiple

1117

# `LocationInfo` elements can be present because one location may

1118

# indicate the location of the scene in the image, and another location

1119

# may indicate the location of the place where the image was taken.

1120

# Location information is usually present for landmarks.

1121

{ # Detected entity location information.

1122

"latLng": { # An object representing a latitude/longitude pair. This is expressed as a pair # lat/long location coordinates.

1123

# of doubles representing degrees latitude and degrees longitude. Unless

1124

# specified otherwise, this must conform to the

1125

# <a href="http://www.unoosa.org/pdf/icg/2012/template/WGS_84.pdf">WGS84

1126

# standard</a>. Values must be within normalized ranges.

1127

"latitude": 3.14, # The latitude in degrees. It must be in the range [-90.0, +90.0].

1128

"longitude": 3.14, # The longitude in degrees. It must be in the range [-180.0, +180.0].

},

},

],

"mid": "A String", # Opaque entity ID. Some IDs may be available in

1133

# [Google Knowledge Graph Search

1134

# API](https://developers.google.com/knowledge-graph/).

1135

"description": "A String", # Entity textual description, expressed in its `locale` language.

1136

"confidence": 3.14, # **Deprecated. Use `score` instead.**

1137

# The accuracy of the entity detection in an image.

1138

# For example, for an image in which the "Eiffel Tower" entity is detected,

1139

# this field represents the confidence that there is a tower in the query

1140

# image. Range [0, 1].

1141

"boundingPoly": { # A bounding polygon for the detected image annotation. # Image region to which this entity belongs. Not produced

1142

# for `LABEL_DETECTION` features.

1143

"vertices": [ # The bounding polygon vertices.

1144

{ # A vertex represents a 2D point in the image.

1145

# NOTE: the vertex coordinates are in the same scale as the original image.

1146

"x": 42, # X coordinate.

1147

"y": 42, # Y coordinate.

1148

},

1149

],

1150

"normalizedVertices": [ # The bounding polygon normalized vertices.

1151

{ # A vertex represents a 2D point in the image.

1152

# NOTE: the normalized vertex coordinates are relative to the original image

1153

# and range from 0 to 1.

1154

"x": 3.14, # X coordinate.

1155

"y": 3.14, # Y coordinate.

},

],

},

"properties": [ # Some entities may have optional user-supplied `Property` (name/value)

1160

# fields, such a score or string that qualifies the entity.

1161

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

1162

"uint64Value": "A String", # Value of numeric properties.

1163

"value": "A String", # Value of the property.

1164

"name": "A String", # Name of the property.

1165

},

1166

],

1167

"score": 3.14, # Overall score of the result. Range [0, 1].

Bu Sun Kim

2020-05-27 12:20:54 -0700

[diff] [blame]

1168

},

1169

],

1170

"context": { # If an image was produced from a file (e.g. a PDF), this message gives # If present, contextual information is needed to understand where this image

1171

# comes from.

1172

# information about the source of that image.

1173

"uri": "A String", # The URI of the file used to produce the image.

1174

"pageNumber": 42, # If the file was a PDF or TIFF, this field gives the page number within

1175

# the file used to produce the image.

1176

},

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2020-07-22 17:02:09 -0700

[diff] [blame^]

1177

"faceAnnotations": [ # If present, face detection has completed successfully.

1178

{ # A face annotation object contains the results of face detection.

1179

"surpriseLikelihood": "A String", # Surprise likelihood.

1180

"headwearLikelihood": "A String", # Headwear likelihood.

1181

"angerLikelihood": "A String", # Anger likelihood.

1182

"detectionConfidence": 3.14, # Detection confidence. Range [0, 1].

1183

"landmarkingConfidence": 3.14, # Face landmarking confidence. Range [0, 1].

1184

"blurredLikelihood": "A String", # Blurred likelihood.

1185

"tiltAngle": 3.14, # Pitch angle, which indicates the upwards/downwards angle that the face is

1186

# pointing relative to the image's horizontal plane. Range [-180,180].

1187

"sorrowLikelihood": "A String", # Sorrow likelihood.

1188

"panAngle": 3.14, # Yaw angle, which indicates the leftward/rightward angle that the face is

1189

# pointing relative to the vertical plane perpendicular to the image. Range

1190

# [-180,180].

1191

"landmarks": [ # Detected face landmarks.

1192

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

1193

"position": { # A 3D position in the image, used primarily for Face detection landmarks. # Face landmark position.

1194

# A valid Position must have both x and y coordinates.

1195

# The position coordinates are in the same scale as the original image.

1196

"z": 3.14, # Z coordinate (or depth).

1197

"y": 3.14, # Y coordinate.

1198

"x": 3.14, # X coordinate.

1199

},

1200

"type": "A String", # Face landmark type.

1201

},

1202

],

1203

"rollAngle": 3.14, # Roll angle, which indicates the amount of clockwise/anti-clockwise rotation

1204

# of the face relative to the image vertical about the axis perpendicular to

1205

# the face. Range [-180,180].

1206

"underExposedLikelihood": "A String", # Under-exposed likelihood.

1207

"joyLikelihood": "A String", # Joy likelihood.

1208

"fdBoundingPoly": { # A bounding polygon for the detected image annotation. # The `fd_bounding_poly` bounding polygon is tighter than the

1209

# `boundingPoly`, and encloses only the skin part of the face. Typically, it

1210

# is used to eliminate the face from any image analysis that detects the

1211

# "amount of skin" visible in an image. It is not based on the

1212

# landmarker results, only on the initial face detection, hence

1213

# the <code>fd</code> (face detection) prefix.

1214

"vertices": [ # The bounding polygon vertices.

1215

{ # A vertex represents a 2D point in the image.

1216

# NOTE: the vertex coordinates are in the same scale as the original image.

1217

"x": 42, # X coordinate.

1218

"y": 42, # Y coordinate.

Bu Sun Kim

2020-05-27 12:20:54 -0700

[diff] [blame]

1219

},

1220

],

Bu Sun Kim

2020-05-27 12:20:54 -0700

[diff] [blame]

1221

"normalizedVertices": [ # The bounding polygon normalized vertices.

1222

{ # A vertex represents a 2D point in the image.

1223

# NOTE: the normalized vertex coordinates are relative to the original image

1224

# and range from 0 to 1.

1225

"x": 3.14, # X coordinate.

1226

"y": 3.14, # Y coordinate.

1227

},

1228

],

Bu Sun Kim

2020-05-27 12:20:54 -0700

[diff] [blame]

1229

},

Bu Sun Kim

2020-05-27 12:20:54 -0700

[diff] [blame]

1230

"boundingPoly": { # A bounding polygon for the detected image annotation. # The bounding polygon around the face. The coordinates of the bounding box

1231

# are in the original image's scale.

1232

# The bounding box is computed to "frame" the face in accordance with human

1233

# expectations. It is based on the landmarker results.

1234

# Note that one or more x and/or y coordinates may not be generated in the

1235

# `BoundingPoly` (the polygon will be unbounded) if only a partial face

1236

# appears in the image to be annotated.

Bu Sun Kim

2020-07-22 17:02:09 -0700

[diff] [blame^]

1237

"vertices": [ # The bounding polygon vertices.

1238

{ # A vertex represents a 2D point in the image.

1239

# NOTE: the vertex coordinates are in the same scale as the original image.

1240

"x": 42, # X coordinate.

1241

"y": 42, # Y coordinate.

1242

},

1243

],

Bu Sun Kim

2020-05-27 12:20:54 -0700

[diff] [blame]

1244

"normalizedVertices": [ # The bounding polygon normalized vertices.

1245

{ # A vertex represents a 2D point in the image.

1246

# NOTE: the normalized vertex coordinates are relative to the original image

1247

# and range from 0 to 1.

1248

"x": 3.14, # X coordinate.

1249

"y": 3.14, # Y coordinate.

1250

},

1251

],

Bu Sun Kim

2020-05-27 12:20:54 -0700

[diff] [blame]

1252

},

Bu Sun Kim

2020-05-27 12:20:54 -0700

[diff] [blame]

1253

},

1254

],

Bu Sun Kim

2020-07-22 17:02:09 -0700

[diff] [blame^]

1255

"landmarkAnnotations": [ # If present, landmark detection has completed successfully.

Bu Sun Kim

2020-05-27 12:20:54 -0700

[diff] [blame]

1256

{ # Set of detected entity features.

Bu Sun Kim

2020-05-27 12:20:54 -0700

[diff] [blame]

1257

"topicality": 3.14, # The relevancy of the ICA (Image Content Annotation) label to the

1258

# image. For example, the relevancy of "tower" is likely higher to an image

1259

# containing the detected "Eiffel Tower" than to an image containing a

1260

# detected distant towering building, even though the confidence that

1261

# there is a tower in each image may be the same. Range [0, 1].

Bu Sun Kim

2020-07-22 17:02:09 -0700

[diff] [blame^]

1262

"locale": "A String", # The language code for the locale in which the entity textual

1263

# `description` is expressed.

Bu Sun Kim

2020-05-27 12:20:54 -0700

[diff] [blame]

1264

"locations": [ # The location information for the detected entity. Multiple

1265

# `LocationInfo` elements can be present because one location may

1266

# indicate the location of the scene in the image, and another location

1267

# may indicate the location of the place where the image was taken.

1268

# Location information is usually present for landmarks.

1269

{ # Detected entity location information.

1270

"latLng": { # An object representing a latitude/longitude pair. This is expressed as a pair # lat/long location coordinates.

1271

# of doubles representing degrees latitude and degrees longitude. Unless

1272

# specified otherwise, this must conform to the

1273

# <a href="http://www.unoosa.org/pdf/icg/2012/template/WGS_84.pdf">WGS84

1274

# standard</a>. Values must be within normalized ranges.

1275

"latitude": 3.14, # The latitude in degrees. It must be in the range [-90.0, +90.0].

1276

"longitude": 3.14, # The longitude in degrees. It must be in the range [-180.0, +180.0].

},

},

],

"mid": "A String", # Opaque entity ID. Some IDs may be available in

1281

# [Google Knowledge Graph Search

1282

# API](https://developers.google.com/knowledge-graph/).

Bu Sun Kim

2020-07-22 17:02:09 -0700

[diff] [blame^]

1283

"description": "A String", # Entity textual description, expressed in its `locale` language.

Bu Sun Kim

2020-05-27 12:20:54 -0700

[diff] [blame]

1284

"confidence": 3.14, # **Deprecated. Use `score` instead.**

1285

# The accuracy of the entity detection in an image.

1286

# For example, for an image in which the "Eiffel Tower" entity is detected,

1287

# this field represents the confidence that there is a tower in the query

1288

# image. Range [0, 1].

Bu Sun Kim

2020-07-22 17:02:09 -0700

[diff] [blame^]

1289

"boundingPoly": { # A bounding polygon for the detected image annotation. # Image region to which this entity belongs. Not produced

1290

# for `LABEL_DETECTION` features.

1291

"vertices": [ # The bounding polygon vertices.

1292

{ # A vertex represents a 2D point in the image.

1293

# NOTE: the vertex coordinates are in the same scale as the original image.

1294

"x": 42, # X coordinate.

1295

"y": 42, # Y coordinate.

1296

},

1297

],

1298

"normalizedVertices": [ # The bounding polygon normalized vertices.

1299

{ # A vertex represents a 2D point in the image.

1300

# NOTE: the normalized vertex coordinates are relative to the original image

1301

# and range from 0 to 1.

1302

"x": 3.14, # X coordinate.

1303

"y": 3.14, # Y coordinate.

},

],

},

"properties": [ # Some entities may have optional user-supplied `Property` (name/value)

1308

# fields, such a score or string that qualifies the entity.

1309

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

1310

"uint64Value": "A String", # Value of numeric properties.

1311

"value": "A String", # Value of the property.

1312

"name": "A String", # Name of the property.

1313

},

1314

],

1315

"score": 3.14, # Overall score of the result. Range [0, 1].

Bu Sun Kim

2020-05-27 12:20:54 -0700

[diff] [blame]

1316

},

1317

],

Bu Sun Kim

2020-05-20 12:08:20 -0700

[diff] [blame]

1318

},

1319

],

Bu Sun Kim

2020-05-20 12:08:20 -0700

[diff] [blame]

},

],

}</pre>

</div>

<code class="details" id="asyncBatchAnnotate">asyncBatchAnnotate(parent, body=None, x__xgafv=None)</code>

1327

<pre>Run asynchronous image detection and annotation for a list of generic

1328

files, such as PDF files, which may contain multiple pages and multiple

1329

images per page. Progress and results can be retrieved through the

1330

`google.longrunning.Operations` interface.

1331

`Operation.metadata` contains `OperationMetadata` (metadata).

1332

`Operation.response` contains `AsyncBatchAnnotateFilesResponse` (results).

1333

1334

Args:

1335

parent: string, Optional. Target project and location to make a call.

1336

1337

Format: `projects/{project-id}/locations/{location-id}`.

1338

1339

If no parent is specified, a region will be chosen automatically.

1340

1341

Supported location-ids:

1342

`us`: USA country only,

1343

`asia`: East asia areas, like Japan, Taiwan,

1344

`eu`: The European Union.

1345

1346

Example: `projects/project-A/locations/eu`. (required)

1347

body: object, The request body.

1348

The object takes the form of:

1349

1350

{ # Multiple async file annotation requests are batched into a single service

1351

# call.

1352

"requests": [ # Required. Individual async file annotation requests for this batch.

1353

{ # An offline file annotation request.

1354

"imageContext": { # Image context and/or feature-specific parameters. # Additional context that may accompany the image(s) in the file.

Bu Sun Kim

2020-05-20 12:08:20 -0700

[diff] [blame]

1355

"cropHintsParams": { # Parameters for crop hints annotation request. # Parameters for crop hints annotation request.

1356

"aspectRatios": [ # Aspect ratios in floats, representing the ratio of the width to the height

1357

# of the image. For example, if the desired aspect ratio is 4/3, the

1358

# corresponding float value should be 1.33333. If not specified, the

1359

# best possible crop is returned. The number of provided aspect ratios is

1360

# limited to a maximum of 16; any aspect ratios provided after the 16th are

# ignored.

3.14,

],

},

"productSearchParams": { # Parameters for a product search request. # Parameters for product search.

Bu Sun Kim

2020-05-20 12:08:20 -0700

[diff] [blame]

1366

"productCategories": [ # The list of product categories to search in. Currently, we only consider

1367

# the first category, and either "homegoods-v2", "apparel-v2", "toys-v2",

1368

# "packagedgoods-v1", or "general-v1" should be specified. The legacy

1369

# categories "homegoods", "apparel", and "toys" are still supported but will

1370

# be deprecated. For new products, please use "homegoods-v2", "apparel-v2",

1371

# or "toys-v2" for better product search accuracy. It is recommended to

1372

# migrate existing products to these categories as well.

1373

"A String",

1374

],

Bu Sun Kim

2020-05-27 12:20:54 -0700

[diff] [blame]

1375

"boundingPoly": { # A bounding polygon for the detected image annotation. # The bounding polygon around the area of interest in the image.

1376

# If it is not specified, system discretion will be applied.

Bu Sun Kim

2020-07-22 17:02:09 -0700

[diff] [blame^]

1377

"vertices": [ # The bounding polygon vertices.

1378

{ # A vertex represents a 2D point in the image.

1379

# NOTE: the vertex coordinates are in the same scale as the original image.

1380

"x": 42, # X coordinate.

1381

"y": 42, # Y coordinate.

1382

},

1383

],

Bu Sun Kim

2020-05-27 12:20:54 -0700

[diff] [blame]

1384

"normalizedVertices": [ # The bounding polygon normalized vertices.

1385

{ # A vertex represents a 2D point in the image.

1386

# NOTE: the normalized vertex coordinates are relative to the original image

1387

# and range from 0 to 1.

1388

"x": 3.14, # X coordinate.

1389

"y": 3.14, # Y coordinate.

1390

},

1391

],

Bu Sun Kim

2020-05-27 12:20:54 -0700

[diff] [blame]

1392

},

Bu Sun Kim

2020-07-22 17:02:09 -0700

[diff] [blame^]

1393

"productSet": "A String", # The resource name of a ProductSet to be searched for similar images.

1394

#

1395

# Format is:

1396

# `projects/PROJECT_ID/locations/LOC_ID/productSets/PRODUCT_SET_ID`.

1397

"filter": "A String", # The filtering expression. This can be used to restrict search results based

1398

# on Product labels. We currently support an AND of OR of key-value

1399

# expressions, where each expression within an OR must have the same key. An

1400

# '=' should be used to connect the key and value.

1401

#

1402

# For example, "(color = red OR color = blue) AND brand = Google" is

1403

# acceptable, but "(color = red OR brand = Google)" is not acceptable.

1404

# "color: red" is not acceptable because it uses a ':' instead of an '='.

Bu Sun Kim

2020-05-27 12:20:54 -0700

[diff] [blame]

1405

},

1406

"languageHints": [ # List of languages to use for TEXT_DETECTION. In most cases, an empty value

1407

# yields the best results since it enables automatic language detection. For

1408

# languages based on the Latin alphabet, setting `language_hints` is not

1409

# needed. In rare cases, when the language of the text in the image is known,

1410

# setting a hint will help get better results (although it will be a

1411

# significant hindrance if the hint is wrong). Text detection returns an

1412

# error if one or more of the specified languages is not one of the

1413

# [supported languages](https://cloud.google.com/vision/docs/languages).

1414

"A String",

1415

],

Bu Sun Kim

2020-05-27 12:20:54 -0700

[diff] [blame]

1416

"latLongRect": { # Rectangle determined by min and max `LatLng` pairs. # Not used.

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"maxLatLng": { # An object representing a latitude/longitude pair. This is expressed as a pair # Max lat/long pair.

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# of doubles representing degrees latitude and degrees longitude. Unless

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# specified otherwise, this must conform to the

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# <a href="http://www.unoosa.org/pdf/icg/2012/template/WGS_84.pdf">WGS84

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# standard</a>. Values must be within normalized ranges.

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"latitude": 3.14, # The latitude in degrees. It must be in the range [-90.0, +90.0].

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"longitude": 3.14, # The longitude in degrees. It must be in the range [-180.0, +180.0].

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},

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"minLatLng": { # An object representing a latitude/longitude pair. This is expressed as a pair # Min lat/long pair.

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# of doubles representing degrees latitude and degrees longitude. Unless

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# specified otherwise, this must conform to the

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# <a href="http://www.unoosa.org/pdf/icg/2012/template/WGS_84.pdf">WGS84

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# standard</a>. Values must be within normalized ranges.

1430

"latitude": 3.14, # The latitude in degrees. It must be in the range [-90.0, +90.0].

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"longitude": 3.14, # The longitude in degrees. It must be in the range [-180.0, +180.0].

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},

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1433

},

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1434

"webDetectionParams": { # Parameters for web detection request. # Parameters for web detection.

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"includeGeoResults": True or False, # Whether to include results derived from the geo information in the image.

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},

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},

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1438

"inputConfig": { # The desired input location and metadata. # Required. Information about the input file.

1439

"content": "A String", # File content, represented as a stream of bytes.

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# Note: As with all `bytes` fields, protobuffers use a pure binary

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# representation, whereas JSON representations use base64.

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#

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# Currently, this field only works for BatchAnnotateFiles requests. It does

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# not work for AsyncBatchAnnotateFiles requests.

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"mimeType": "A String", # The type of the file. Currently only "application/pdf", "image/tiff" and

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# "image/gif" are supported. Wildcards are not supported.

1447

"gcsSource": { # The Google Cloud Storage location where the input will be read from. # The Google Cloud Storage location to read the input from.

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"uri": "A String", # Google Cloud Storage URI for the input file. This must only be a

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# Google Cloud Storage object. Wildcards are not currently supported.

1450

},

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},

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"features": [ # Required. Requested features.

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{ # The type of Google Cloud Vision API detection to perform, and the maximum

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# number of results to return for that type. Multiple `Feature` objects can

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# be specified in the `features` list.

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"type": "A String", # The feature type.

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"maxResults": 42, # Maximum number of results of this type. Does not apply to

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# `TEXT_DETECTION`, `DOCUMENT_TEXT_DETECTION`, or `CROP_HINTS`.

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"model": "A String", # Model to use for the feature.

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# Supported values: "builtin/stable" (the default if unset) and

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# "builtin/latest".

1462

},

1463

],

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1464

"outputConfig": { # The desired output location and metadata. # Required. The desired output location and metadata (e.g. format).

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1465

"batchSize": 42, # The max number of response protos to put into each output JSON file on

1466

# Google Cloud Storage.

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# The valid range is [1, 100]. If not specified, the default value is 20.

1468

#

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# For example, for one pdf file with 100 pages, 100 response protos will

1470

# be generated. If `batch_size` = 20, then 5 json files each

1471

# containing 20 response protos will be written under the prefix

1472

# `gcs_destination`.`uri`.

1473

#

1474

# Currently, batch_size only applies to GcsDestination, with potential future

1475

# support for other output configurations.

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1476

"gcsDestination": { # The Google Cloud Storage location where the output will be written to. # The Google Cloud Storage location to write the output(s) to.

1477

"uri": "A String", # Google Cloud Storage URI prefix where the results will be stored. Results

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# will be in JSON format and preceded by its corresponding input URI prefix.

1479

# This field can either represent a gcs file prefix or gcs directory. In

1480

# either case, the uri should be unique because in order to get all of the

1481

# 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

1487

# will be created in gs://bucket-name/here/ and the names of the

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# output files will begin with "filenameprefix".

1489

#

1490

# * Directory Prefix: gs://bucket-name/some/location/ The output files

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# will be created in gs://bucket-name/some/location/ and the names of the

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# output files could be anything because there was no filename prefix

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# specified.

1494

#

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# If multiple outputs, each response is still AnnotateFileResponse, each of

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# which contains some subset of the full list of AnnotateImageResponse.

1497

# Multiple outputs can happen if, for example, the output JSON is too large

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# and overflows into multiple sharded files.

1499

},

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},

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1501

},

1502

],

1503

"parent": "A String", # Optional. Target project and location to make a call.

1504

#

1505

# Format: `projects/{project-id}/locations/{location-id}`.

1506

#

1507

# If no parent is specified, a region will be chosen automatically.

1508

#

1509

# Supported location-ids:

1510

# `us`: USA country only,

1511

# `asia`: East asia areas, like Japan, Taiwan,

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# `eu`: The European Union.

1513

#

1514

# Example: `projects/project-A/locations/eu`.

1515

}

1516

1517

x__xgafv: string, V1 error format.

Allowed values

1 - v1 error format

2 - v2 error format

Returns:

An object of the form:

1524

1525

{ # This resource represents a long-running operation that is the result of a

1526

# network API call.

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1527

"response": { # The normal response of the operation in case of success. If the original

1528

# method returns no data on success, such as `Delete`, the response is

1529

# `google.protobuf.Empty`. If the original method is standard

1530

# `Get`/`Create`/`Update`, the response should be the resource. For other

1531

# methods, the response should have the type `XxxResponse`, where `Xxx`

1532

# is the original method name. For example, if the original method name

1533

# is `TakeSnapshot()`, the inferred response type is

1534

# `TakeSnapshotResponse`.

1535

"a_key": "", # Properties of the object. Contains field @type with type URL.

1536

},

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"metadata": { # Service-specific metadata associated with the operation. It typically

1538

# contains progress information and common metadata such as create time.

1539

# Some services might not provide such metadata. Any method that returns a

1540

# long-running operation should document the metadata type, if any.

1541

"a_key": "", # Properties of the object. Contains field @type with type URL.

1542

},

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1543

"name": "A String", # The server-assigned name, which is only unique within the same service that

1544

# originally returns it. If you use the default HTTP mapping, the

1545

# `name` should be a resource name ending with `operations/{unique_id}`.

Bu Sun Kim