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* Stop recursing if discovery == {}
* Generate docs with 'make docs'.
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+
+<h1><a href="vision_v1.html">Cloud Vision API</a> . <a href="vision_v1.files.html">files</a></h1>
+<h2>Instance Methods</h2>
+<p class="toc_element">
+ <code><a href="#annotate">annotate(body, x__xgafv=None)</a></code></p>
+<p class="firstline">Service that performs image detection and annotation for a batch of files.</p>
+<p class="toc_element">
+ <code><a href="#asyncBatchAnnotate">asyncBatchAnnotate(body, x__xgafv=None)</a></code></p>
+<p class="firstline">Run asynchronous image detection and annotation for a list of generic</p>
+<h3>Method Details</h3>
+<div class="method">
+ <code class="details" id="annotate">annotate(body, x__xgafv=None)</code>
+ <pre>Service that performs image detection and annotation for a batch of files.
+Now only "application/pdf", "image/tiff" and "image/gif" are supported.
+
+This service will extract at most 5 (customers can specify which 5 in
+AnnotateFileRequest.pages) frames (gif) or pages (pdf or tiff) from each
+file provided and perform detection and annotation for each image
+extracted.
+
+Args:
+ body: object, The request body. (required)
+ The object takes the form of:
+
+{ # A list of requests to annotate files using the BatchAnnotateFiles API.
+ "requests": [ # The list of file annotation requests. Right now we support only one
+ # AnnotateFileRequest in BatchAnnotateFilesRequest.
+ { # A request to annotate one single file, e.g. a PDF, TIFF or GIF file.
+ "imageContext": { # Image context and/or feature-specific parameters. # Additional context that may accompany the image(s) in the file.
+ "latLongRect": { # Rectangle determined by min and max `LatLng` pairs. # Not used.
+ "minLatLng": { # An object representing a latitude/longitude pair. This is expressed as a pair # Min lat/long pair.
+ # of doubles representing degrees latitude and degrees longitude. Unless
+ # specified otherwise, this must conform to the
+ # <a href="http://www.unoosa.org/pdf/icg/2012/template/WGS_84.pdf">WGS84
+ # standard</a>. Values must be within normalized ranges.
+ "latitude": 3.14, # The latitude in degrees. It must be in the range [-90.0, +90.0].
+ "longitude": 3.14, # The longitude in degrees. It must be in the range [-180.0, +180.0].
+ },
+ "maxLatLng": { # An object representing a latitude/longitude pair. This is expressed as a pair # Max lat/long pair.
+ # of doubles representing degrees latitude and degrees longitude. Unless
+ # specified otherwise, this must conform to the
+ # <a href="http://www.unoosa.org/pdf/icg/2012/template/WGS_84.pdf">WGS84
+ # standard</a>. Values must be within normalized ranges.
+ "latitude": 3.14, # The latitude in degrees. It must be in the range [-90.0, +90.0].
+ "longitude": 3.14, # The longitude in degrees. It must be in the range [-180.0, +180.0].
+ },
+ },
+ "languageHints": [ # List of languages to use for TEXT_DETECTION. In most cases, an empty value
+ # yields the best results since it enables automatic language detection. For
+ # languages based on the Latin alphabet, setting `language_hints` is not
+ # needed. In rare cases, when the language of the text in the image is known,
+ # setting a hint will help get better results (although it will be a
+ # significant hindrance if the hint is wrong). Text detection returns an
+ # error if one or more of the specified languages is not one of the
+ # [supported languages](/vision/docs/languages).
+ "A String",
+ ],
+ "productSearchParams": { # Parameters for a product search request. # Parameters for product search.
+ "filter": "A String", # The filtering expression. This can be used to restrict search results based
+ # on Product labels. We currently support an AND of OR of key-value
+ # expressions, where each expression within an OR must have the same key. An
+ # '=' should be used to connect the key and value.
+ #
+ # For example, "(color = red OR color = blue) AND brand = Google" is
+ # acceptable, but "(color = red OR brand = Google)" is not acceptable.
+ # "color: red" is not acceptable because it uses a ':' instead of an '='.
+ "productCategories": [ # The list of product categories to search in. Currently, we only consider
+ # the first category, and either "homegoods-v2", "apparel-v2", or "toys-v2"
+ # should be specified. The legacy categories "homegoods", "apparel", and
+ # "toys" are still supported but will be deprecated. For new products, please
+ # use "homegoods-v2", "apparel-v2", or "toys-v2" for better product search
+ # accuracy. It is recommended to migrate existing products to these
+ # categories as well.
+ "A String",
+ ],
+ "productSet": "A String", # The resource name of a ProductSet to be searched for similar images.
+ #
+ # Format is:
+ # `projects/PROJECT_ID/locations/LOC_ID/productSets/PRODUCT_SET_ID`.
+ "boundingPoly": { # A bounding polygon for the detected image annotation. # The bounding polygon around the area of interest in the image.
+ # Optional. If it is not specified, system discretion will be applied.
+ "normalizedVertices": [ # The bounding polygon normalized vertices.
+ { # A vertex represents a 2D point in the image.
+ # NOTE: the normalized vertex coordinates are relative to the original image
+ # and range from 0 to 1.
+ "y": 3.14, # Y coordinate.
+ "x": 3.14, # X coordinate.
+ },
+ ],
+ "vertices": [ # The bounding polygon vertices.
+ { # A vertex represents a 2D point in the image.
+ # NOTE: the vertex coordinates are in the same scale as the original image.
+ "y": 42, # Y coordinate.
+ "x": 42, # X coordinate.
+ },
+ ],
+ },
+ },
+ "cropHintsParams": { # Parameters for crop hints annotation request. # Parameters for crop hints annotation request.
+ "aspectRatios": [ # Aspect ratios in floats, representing the ratio of the width to the height
+ # of the image. For example, if the desired aspect ratio is 4/3, the
+ # corresponding float value should be 1.33333. If not specified, the
+ # best possible crop is returned. The number of provided aspect ratios is
+ # limited to a maximum of 16; any aspect ratios provided after the 16th are
+ # ignored.
+ 3.14,
+ ],
+ },
+ "webDetectionParams": { # Parameters for web detection request. # Parameters for web detection.
+ "includeGeoResults": True or False, # Whether to include results derived from the geo information in the image.
+ },
+ },
+ "features": [ # Required. Requested features.
+ { # The type of Google Cloud Vision API detection to perform, and the maximum
+ # number of results to return for that type. Multiple `Feature` objects can
+ # be specified in the `features` list.
+ "model": "A String", # Model to use for the feature.
+ # Supported values: "builtin/stable" (the default if unset) and
+ # "builtin/latest".
+ "type": "A String", # The feature type.
+ "maxResults": 42, # Maximum number of results of this type. Does not apply to
+ # `TEXT_DETECTION`, `DOCUMENT_TEXT_DETECTION`, or `CROP_HINTS`.
+ },
+ ],
+ "pages": [ # Pages of the file to perform image annotation.
+ #
+ # Pages starts from 1, we assume the first page of the file is page 1.
+ # At most 5 pages are supported per request. Pages can be negative.
+ #
+ # Page 1 means the first page.
+ # Page 2 means the second page.
+ # Page -1 means the last page.
+ # Page -2 means the second to the last page.
+ #
+ # If the file is GIF instead of PDF or TIFF, page refers to GIF frames.
+ #
+ # If this field is empty, by default the service performs image annotation
+ # for the first 5 pages of the file.
+ 42,
+ ],
+ "inputConfig": { # The desired input location and metadata. # Required. Information about the input file.
+ "content": "A String", # File content, represented as a stream of bytes.
+ # Note: As with all `bytes` fields, protobuffers use a pure binary
+ # representation, whereas JSON representations use base64.
+ #
+ # Currently, this field only works for BatchAnnotateFiles requests. It does
+ # not work for AsyncBatchAnnotateFiles requests.
+ "mimeType": "A String", # The type of the file. Currently only "application/pdf", "image/tiff" and
+ # "image/gif" are supported. Wildcards are not supported.
+ "gcsSource": { # The Google Cloud Storage location where the input will be read from. # The Google Cloud Storage location to read the input from.
+ "uri": "A String", # Google Cloud Storage URI for the input file. This must only be a
+ # Google Cloud Storage object. Wildcards are not currently supported.
+ },
+ },
+ },
+ ],
+ }
+
+ x__xgafv: string, V1 error format.
+ Allowed values
+ 1 - v1 error format
+ 2 - v2 error format
+
+Returns:
+ An object of the form:
+
+ { # A list of file annotation responses.
+ "responses": [ # The list of file annotation responses, each response corresponding to each
+ # AnnotateFileRequest in BatchAnnotateFilesRequest.
+ { # Response to a single file annotation request. A file may contain one or more
+ # images, which individually have their own responses.
+ "totalPages": 42, # This field gives the total number of pages in the file.
+ "responses": [ # Individual responses to images found within the file.
+ { # Response to an image annotation request.
+ "safeSearchAnnotation": { # Set of features pertaining to the image, computed by computer vision # If present, safe-search annotation has completed successfully.
+ # methods over safe-search verticals (for example, adult, spoof, medical,
+ # violence).
+ "spoof": "A String", # Spoof likelihood. The likelihood that an modification
+ # was made to the image's canonical version to make it appear
+ # funny or offensive.
+ "violence": "A String", # Likelihood that this image contains violent content.
+ "medical": "A String", # Likelihood that this is a medical image.
+ "adult": "A String", # Represents the adult content likelihood for the image. Adult content may
+ # contain elements such as nudity, pornographic images or cartoons, or
+ # sexual activities.
+ "racy": "A String", # Likelihood that the request image contains racy content. Racy content may
+ # include (but is not limited to) skimpy or sheer clothing, strategically
+ # covered nudity, lewd or provocative poses, or close-ups of sensitive
+ # body areas.
+ },
+ "textAnnotations": [ # If present, text (OCR) detection has completed successfully.
+ { # Set of detected entity features.
+ "confidence": 3.14, # **Deprecated. Use `score` instead.**
+ # The accuracy of the entity detection in an image.
+ # For example, for an image in which the "Eiffel Tower" entity is detected,
+ # this field represents the confidence that there is a tower in the query
+ # image. Range [0, 1].
+ "description": "A String", # Entity textual description, expressed in its `locale` language.
+ "locale": "A String", # The language code for the locale in which the entity textual
+ # `description` is expressed.
+ "topicality": 3.14, # The relevancy of the ICA (Image Content Annotation) label to the
+ # image. For example, the relevancy of "tower" is likely higher to an image
+ # containing the detected "Eiffel Tower" than to an image containing a
+ # detected distant towering building, even though the confidence that
+ # there is a tower in each image may be the same. Range [0, 1].
+ "locations": [ # The location information for the detected entity. Multiple
+ # `LocationInfo` elements can be present because one location may
+ # indicate the location of the scene in the image, and another location
+ # may indicate the location of the place where the image was taken.
+ # Location information is usually present for landmarks.
+ { # Detected entity location information.
+ "latLng": { # An object representing a latitude/longitude pair. This is expressed as a pair # lat/long location coordinates.
+ # of doubles representing degrees latitude and degrees longitude. Unless
+ # specified otherwise, this must conform to the
+ # <a href="http://www.unoosa.org/pdf/icg/2012/template/WGS_84.pdf">WGS84
+ # standard</a>. Values must be within normalized ranges.
+ "latitude": 3.14, # The latitude in degrees. It must be in the range [-90.0, +90.0].
+ "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
+ # [Google Knowledge Graph Search
+ # API](https://developers.google.com/knowledge-graph/).
+ "score": 3.14, # Overall score of the result. Range [0, 1].
+ "boundingPoly": { # A bounding polygon for the detected image annotation. # Image region to which this entity belongs. Not produced
+ # for `LABEL_DETECTION` features.
+ "normalizedVertices": [ # The bounding polygon normalized vertices.
+ { # A vertex represents a 2D point in the image.
+ # NOTE: the normalized vertex coordinates are relative to the original image
+ # and range from 0 to 1.
+ "y": 3.14, # Y coordinate.
+ "x": 3.14, # X coordinate.
+ },
+ ],
+ "vertices": [ # The bounding polygon vertices.
+ { # A vertex represents a 2D point in the image.
+ # NOTE: the vertex coordinates are in the same scale as the original image.
+ "y": 42, # Y coordinate.
+ "x": 42, # X coordinate.
+ },
+ ],
+ },
+ "properties": [ # Some entities may have optional user-supplied `Property` (name/value)
+ # fields, such a score or string that qualifies the entity.
+ { # A `Property` consists of a user-supplied name/value pair.
+ "uint64Value": "A String", # Value of numeric properties.
+ "name": "A String", # Name of the property.
+ "value": "A String", # Value of the property.
+ },
+ ],
+ },
+ ],
+ "webDetection": { # Relevant information for the image from the Internet. # If present, web detection has completed successfully.
+ "fullMatchingImages": [ # Fully matching images from the Internet.
+ # Can include resized copies of the query image.
+ { # Metadata for online images.
+ "url": "A String", # The result image URL.
+ "score": 3.14, # (Deprecated) Overall relevancy score for the image.
+ },
+ ],
+ "pagesWithMatchingImages": [ # Web pages containing the matching images from the Internet.
+ { # Metadata for web pages.
+ "pageTitle": "A String", # Title for the web page, may contain HTML markups.
+ "url": "A String", # The result web page URL.
+ "score": 3.14, # (Deprecated) Overall relevancy score for the web page.
+ "partialMatchingImages": [ # Partial matching images on the page.
+ # Those images are similar enough to share some key-point features. For
+ # example an original image will likely have partial matching for its
+ # crops.
+ { # Metadata for online images.
+ "url": "A String", # The result image URL.
+ "score": 3.14, # (Deprecated) Overall relevancy score for the image.
+ },
+ ],
+ "fullMatchingImages": [ # Fully matching images on the page.
+ # Can include resized copies of the query image.
+ { # Metadata for online images.
+ "url": "A String", # The result image URL.
+ "score": 3.14, # (Deprecated) Overall relevancy score for the image.
+ },
+ ],
+ },
+ ],
+ "visuallySimilarImages": [ # The visually similar image results.
+ { # Metadata for online images.
+ "url": "A String", # The result image URL.
+ "score": 3.14, # (Deprecated) Overall relevancy score for the image.
+ },
+ ],
+ "partialMatchingImages": [ # Partial matching images from the Internet.
+ # Those images are similar enough to share some key-point features. For
+ # example an original image will likely have partial matching for its crops.
+ { # Metadata for online images.
+ "url": "A String", # The result image URL.
+ "score": 3.14, # (Deprecated) Overall relevancy score for the image.
+ },
+ ],
+ "webEntities": [ # Deduced entities from similar images on the Internet.
+ { # Entity deduced from similar images on the Internet.
+ "entityId": "A String", # Opaque entity ID.
+ "score": 3.14, # Overall relevancy score for the entity.
+ # Not normalized and not comparable across different image queries.
+ "description": "A String", # Canonical description of the entity, in English.
+ },
+ ],
+ "bestGuessLabels": [ # The service's best guess as to the topic of the request image.
+ # Inferred from similar images on the open web.
+ { # Label to provide extra metadata for the web detection.
+ "languageCode": "A String", # The BCP-47 language code for `label`, such as "en-US" or "sr-Latn".
+ # For more information, see
+ # http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.
+ "label": "A String", # Label for extra metadata.
+ },
+ ],
+ },
+ "localizedObjectAnnotations": [ # If present, localized object detection has completed successfully.
+ # This will be sorted descending by confidence score.
+ { # Set of detected objects with bounding boxes.
+ "languageCode": "A String", # The BCP-47 language code, such as "en-US" or "sr-Latn". For more
+ # information, see
+ # http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.
+ "score": 3.14, # Score of the result. Range [0, 1].
+ "mid": "A String", # Object ID that should align with EntityAnnotation mid.
+ "boundingPoly": { # A bounding polygon for the detected image annotation. # Image region to which this object belongs. This must be populated.
+ "normalizedVertices": [ # The bounding polygon normalized vertices.
+ { # A vertex represents a 2D point in the image.
+ # NOTE: the normalized vertex coordinates are relative to the original image
+ # and range from 0 to 1.
+ "y": 3.14, # Y coordinate.
+ "x": 3.14, # X coordinate.
+ },
+ ],
+ "vertices": [ # The bounding polygon vertices.
+ { # A vertex represents a 2D point in the image.
+ # NOTE: the vertex coordinates are in the same scale as the original image.
+ "y": 42, # Y coordinate.
+ "x": 42, # X coordinate.
+ },
+ ],
+ },
+ "name": "A String", # Object name, expressed in its `language_code` language.
+ },
+ ],
+ "fullTextAnnotation": { # TextAnnotation contains a structured representation of OCR extracted text. # If present, text (OCR) detection or document (OCR) text detection has
+ # completed successfully.
+ # This annotation provides the structural hierarchy for the OCR detected
+ # text.
+ # The hierarchy of an OCR extracted text structure is like this:
+ # TextAnnotation -> Page -> Block -> Paragraph -> Word -> Symbol
+ # Each structural component, starting from Page, may further have their own
+ # properties. Properties describe detected languages, breaks etc.. Please refer
+ # to the TextAnnotation.TextProperty message definition below for more
+ # detail.
+ "text": "A String", # UTF-8 text detected on the pages.
+ "pages": [ # List of pages detected by OCR.
+ { # Detected page from OCR.
+ "width": 42, # Page width. For PDFs the unit is points. For images (including
+ # TIFFs) the unit is pixels.
+ "confidence": 3.14, # Confidence of the OCR results on the page. Range [0, 1].
+ "property": { # Additional information detected on the structural component. # Additional information detected on the page.
+ "detectedBreak": { # Detected start or end of a structural component. # Detected start or end of a text segment.
+ "isPrefix": True or False, # True if break prepends the element.
+ "type": "A String", # Detected break type.
+ },
+ "detectedLanguages": [ # A list of detected languages together with confidence.
+ { # Detected language for a structural component.
+ "languageCode": "A String", # The BCP-47 language code, such as "en-US" or "sr-Latn". For more
+ # information, see
+ # http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.
+ "confidence": 3.14, # Confidence of detected language. Range [0, 1].
+ },
+ ],
+ },
+ "blocks": [ # List of blocks of text, images etc on this page.
+ { # Logical element on the page.
+ "boundingBox": { # A bounding polygon for the detected image annotation. # The bounding box for the block.
+ # The vertices are in the order of top-left, top-right, bottom-right,
+ # bottom-left. When a rotation of the bounding box is detected the rotation
+ # is represented as around the top-left corner as defined when the text is
+ # read in the 'natural' orientation.
+ # For example:
+ #
+ # * when the text is horizontal it might look like:
+ #
+ # 0----1
+ # | |
+ # 3----2
+ #
+ # * when it's rotated 180 degrees around the top-left corner it becomes:
+ #
+ # 2----3
+ # | |
+ # 1----0
+ #
+ # and the vertex order will still be (0, 1, 2, 3).
+ "normalizedVertices": [ # The bounding polygon normalized vertices.
+ { # A vertex represents a 2D point in the image.
+ # NOTE: the normalized vertex coordinates are relative to the original image
+ # and range from 0 to 1.
+ "y": 3.14, # Y coordinate.
+ "x": 3.14, # X coordinate.
+ },
+ ],
+ "vertices": [ # The bounding polygon vertices.
+ { # A vertex represents a 2D point in the image.
+ # NOTE: the vertex coordinates are in the same scale as the original image.
+ "y": 42, # Y coordinate.
+ "x": 42, # X coordinate.
+ },
+ ],
+ },
+ "confidence": 3.14, # Confidence of the OCR results on the block. Range [0, 1].
+ "property": { # Additional information detected on the structural component. # Additional information detected for the block.
+ "detectedBreak": { # Detected start or end of a structural component. # Detected start or end of a text segment.
+ "isPrefix": True or False, # True if break prepends the element.
+ "type": "A String", # Detected break type.
+ },
+ "detectedLanguages": [ # A list of detected languages together with confidence.
+ { # Detected language for a structural component.
+ "languageCode": "A String", # The BCP-47 language code, such as "en-US" or "sr-Latn". For more
+ # information, see
+ # http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.
+ "confidence": 3.14, # Confidence of detected language. Range [0, 1].
+ },
+ ],
+ },
+ "blockType": "A String", # Detected block type (text, image etc) for this block.
+ "paragraphs": [ # List of paragraphs in this block (if this blocks is of type text).
+ { # Structural unit of text representing a number of words in certain order.
+ "boundingBox": { # A bounding polygon for the detected image annotation. # The bounding box for the paragraph.
+ # The vertices are in the order of top-left, top-right, bottom-right,
+ # bottom-left. When a rotation of the bounding box is detected the rotation
+ # is represented as around the top-left corner as defined when the text is
+ # read in the 'natural' orientation.
+ # For example:
+ # * when the text is horizontal it might look like:
+ # 0----1
+ # | |
+ # 3----2
+ # * when it's rotated 180 degrees around the top-left corner it becomes:
+ # 2----3
+ # | |
+ # 1----0
+ # and the vertex order will still be (0, 1, 2, 3).
+ "normalizedVertices": [ # The bounding polygon normalized vertices.
+ { # A vertex represents a 2D point in the image.
+ # NOTE: the normalized vertex coordinates are relative to the original image
+ # and range from 0 to 1.
+ "y": 3.14, # Y coordinate.
+ "x": 3.14, # X coordinate.
+ },
+ ],
+ "vertices": [ # The bounding polygon vertices.
+ { # A vertex represents a 2D point in the image.
+ # NOTE: the vertex coordinates are in the same scale as the original image.
+ "y": 42, # Y coordinate.
+ "x": 42, # X coordinate.
+ },
+ ],
+ },
+ "confidence": 3.14, # Confidence of the OCR results for the paragraph. Range [0, 1].
+ "property": { # Additional information detected on the structural component. # Additional information detected for the paragraph.
+ "detectedBreak": { # Detected start or end of a structural component. # Detected start or end of a text segment.
+ "isPrefix": True or False, # True if break prepends the element.
+ "type": "A String", # Detected break type.
+ },
+ "detectedLanguages": [ # A list of detected languages together with confidence.
+ { # Detected language for a structural component.
+ "languageCode": "A String", # The BCP-47 language code, such as "en-US" or "sr-Latn". For more
+ # information, see
+ # http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.
+ "confidence": 3.14, # Confidence of detected language. Range [0, 1].
+ },
+ ],
+ },
+ "words": [ # List of words in this paragraph.
+ { # A word representation.
+ "boundingBox": { # A bounding polygon for the detected image annotation. # The bounding box for the word.
+ # The vertices are in the order of top-left, top-right, bottom-right,
+ # bottom-left. When a rotation of the bounding box is detected the rotation
+ # is represented as around the top-left corner as defined when the text is
+ # read in the 'natural' orientation.
+ # For example:
+ # * when the text is horizontal it might look like:
+ # 0----1
+ # | |
+ # 3----2
+ # * when it's rotated 180 degrees around the top-left corner it becomes:
+ # 2----3
+ # | |
+ # 1----0
+ # and the vertex order will still be (0, 1, 2, 3).
+ "normalizedVertices": [ # The bounding polygon normalized vertices.
+ { # A vertex represents a 2D point in the image.
+ # NOTE: the normalized vertex coordinates are relative to the original image
+ # and range from 0 to 1.
+ "y": 3.14, # Y coordinate.
+ "x": 3.14, # X coordinate.
+ },
+ ],
+ "vertices": [ # The bounding polygon vertices.
+ { # A vertex represents a 2D point in the image.
+ # NOTE: the vertex coordinates are in the same scale as the original image.
+ "y": 42, # Y coordinate.
+ "x": 42, # X coordinate.
+ },
+ ],
+ },
+ "symbols": [ # List of symbols in the word.
+ # The order of the symbols follows the natural reading order.
+ { # A single symbol representation.
+ "boundingBox": { # A bounding polygon for the detected image annotation. # The bounding box for the symbol.
+ # The vertices are in the order of top-left, top-right, bottom-right,
+ # bottom-left. When a rotation of the bounding box is detected the rotation
+ # is represented as around the top-left corner as defined when the text is
+ # read in the 'natural' orientation.
+ # For example:
+ # * when the text is horizontal it might look like:
+ # 0----1
+ # | |
+ # 3----2
+ # * when it's rotated 180 degrees around the top-left corner it becomes:
+ # 2----3
+ # | |
+ # 1----0
+ # and the vertice order will still be (0, 1, 2, 3).
+ "normalizedVertices": [ # The bounding polygon normalized vertices.
+ { # A vertex represents a 2D point in the image.
+ # NOTE: the normalized vertex coordinates are relative to the original image
+ # and range from 0 to 1.
+ "y": 3.14, # Y coordinate.
+ "x": 3.14, # X coordinate.
+ },
+ ],
+ "vertices": [ # The bounding polygon vertices.
+ { # A vertex represents a 2D point in the image.
+ # NOTE: the vertex coordinates are in the same scale as the original image.
+ "y": 42, # Y coordinate.
+ "x": 42, # X coordinate.
+ },
+ ],
+ },
+ "text": "A String", # The actual UTF-8 representation of the symbol.
+ "confidence": 3.14, # Confidence of the OCR results for the symbol. Range [0, 1].
+ "property": { # Additional information detected on the structural component. # Additional information detected for the symbol.
+ "detectedBreak": { # Detected start or end of a structural component. # Detected start or end of a text segment.
+ "isPrefix": True or False, # True if break prepends the element.
+ "type": "A String", # Detected break type.
+ },
+ "detectedLanguages": [ # A list of detected languages together with confidence.
+ { # Detected language for a structural component.
+ "languageCode": "A String", # The BCP-47 language code, such as "en-US" or "sr-Latn". For more
+ # information, see
+ # http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.
+ "confidence": 3.14, # Confidence of detected language. Range [0, 1].
+ },
+ ],
+ },
+ },
+ ],
+ "confidence": 3.14, # Confidence of the OCR results for the word. Range [0, 1].
+ "property": { # Additional information detected on the structural component. # Additional information detected for the word.
+ "detectedBreak": { # Detected start or end of a structural component. # Detected start or end of a text segment.
+ "isPrefix": True or False, # True if break prepends the element.
+ "type": "A String", # Detected break type.
+ },
+ "detectedLanguages": [ # A list of detected languages together with confidence.
+ { # Detected language for a structural component.
+ "languageCode": "A String", # The BCP-47 language code, such as "en-US" or "sr-Latn". For more
+ # information, see
+ # http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.
+ "confidence": 3.14, # Confidence of detected language. Range [0, 1].
+ },
+ ],
+ },
+ },
+ ],
+ },
+ ],
+ },
+ ],
+ "height": 42, # Page height. For PDFs the unit is points. For images (including
+ # TIFFs) the unit is pixels.
+ },
+ ],
+ },
+ "labelAnnotations": [ # If present, label detection has completed successfully.
+ { # Set of detected entity features.
+ "confidence": 3.14, # **Deprecated. Use `score` instead.**
+ # The accuracy of the entity detection in an image.
+ # For example, for an image in which the "Eiffel Tower" entity is detected,
+ # this field represents the confidence that there is a tower in the query
+ # image. Range [0, 1].
+ "description": "A String", # Entity textual description, expressed in its `locale` language.
+ "locale": "A String", # The language code for the locale in which the entity textual
+ # `description` is expressed.
+ "topicality": 3.14, # The relevancy of the ICA (Image Content Annotation) label to the
+ # image. For example, the relevancy of "tower" is likely higher to an image
+ # containing the detected "Eiffel Tower" than to an image containing a
+ # detected distant towering building, even though the confidence that
+ # there is a tower in each image may be the same. Range [0, 1].
+ "locations": [ # The location information for the detected entity. Multiple
+ # `LocationInfo` elements can be present because one location may
+ # indicate the location of the scene in the image, and another location
+ # may indicate the location of the place where the image was taken.
+ # Location information is usually present for landmarks.
+ { # Detected entity location information.
+ "latLng": { # An object representing a latitude/longitude pair. This is expressed as a pair # lat/long location coordinates.
+ # of doubles representing degrees latitude and degrees longitude. Unless
+ # specified otherwise, this must conform to the
+ # <a href="http://www.unoosa.org/pdf/icg/2012/template/WGS_84.pdf">WGS84
+ # standard</a>. Values must be within normalized ranges.
+ "latitude": 3.14, # The latitude in degrees. It must be in the range [-90.0, +90.0].
+ "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
+ # [Google Knowledge Graph Search
+ # API](https://developers.google.com/knowledge-graph/).
+ "score": 3.14, # Overall score of the result. Range [0, 1].
+ "boundingPoly": { # A bounding polygon for the detected image annotation. # Image region to which this entity belongs. Not produced
+ # for `LABEL_DETECTION` features.
+ "normalizedVertices": [ # The bounding polygon normalized vertices.
+ { # A vertex represents a 2D point in the image.
+ # NOTE: the normalized vertex coordinates are relative to the original image
+ # and range from 0 to 1.
+ "y": 3.14, # Y coordinate.
+ "x": 3.14, # X coordinate.
+ },
+ ],
+ "vertices": [ # The bounding polygon vertices.
+ { # A vertex represents a 2D point in the image.
+ # NOTE: the vertex coordinates are in the same scale as the original image.
+ "y": 42, # Y coordinate.
+ "x": 42, # X coordinate.
+ },
+ ],
+ },
+ "properties": [ # Some entities may have optional user-supplied `Property` (name/value)
+ # fields, such a score or string that qualifies the entity.
+ { # A `Property` consists of a user-supplied name/value pair.
+ "uint64Value": "A String", # Value of numeric properties.
+ "name": "A String", # Name of the property.
+ "value": "A String", # Value of the property.
+ },
+ ],
+ },
+ ],
+ "imagePropertiesAnnotation": { # Stores image properties, such as dominant colors. # If present, image properties were extracted successfully.
+ "dominantColors": { # Set of dominant colors and their corresponding scores. # If present, dominant colors completed successfully.
+ "colors": [ # RGB color values with their score and pixel fraction.
+ { # Color information consists of RGB channels, score, and the fraction of
+ # the image that the color occupies in the image.
+ "color": { # Represents a color in the RGBA color space. This representation is designed # RGB components of the color.
+ # for simplicity of conversion to/from color representations in various
+ # languages over compactness; for example, the fields of this representation
+ # can be trivially provided to the constructor of "java.awt.Color" in Java; it
+ # can also be trivially provided to UIColor's "+colorWithRed:green:blue:alpha"
+ # method in iOS; and, with just a little work, it can be easily formatted into
+ # a CSS "rgba()" string in JavaScript, as well.
+ #
+ # Note: this proto does not carry information about the absolute color space
+ # that should be used to interpret the RGB value (e.g. sRGB, Adobe RGB,
+ # DCI-P3, BT.2020, etc.). By default, applications SHOULD assume the sRGB color
+ # space.
+ #
+ # Example (Java):
+ #
+ # import com.google.type.Color;
+ #
+ # // ...
+ # public static java.awt.Color fromProto(Color protocolor) {
+ # float alpha = protocolor.hasAlpha()
+ # ? protocolor.getAlpha().getValue()
+ # : 1.0;
+ #
+ # return new java.awt.Color(
+ # protocolor.getRed(),
+ # protocolor.getGreen(),
+ # protocolor.getBlue(),
+ # alpha);
+ # }
+ #
+ # public static Color toProto(java.awt.Color color) {
+ # float red = (float) color.getRed();
+ # float green = (float) color.getGreen();
+ # float blue = (float) color.getBlue();
+ # float denominator = 255.0;
+ # Color.Builder resultBuilder =
+ # Color
+ # .newBuilder()
+ # .setRed(red / denominator)
+ # .setGreen(green / denominator)
+ # .setBlue(blue / denominator);
+ # int alpha = color.getAlpha();
+ # if (alpha != 255) {
+ # result.setAlpha(
+ # FloatValue
+ # .newBuilder()
+ # .setValue(((float) alpha) / denominator)
+ # .build());
+ # }
+ # return resultBuilder.build();
+ # }
+ # // ...
+ #
+ # Example (iOS / Obj-C):
+ #
+ # // ...
+ # static UIColor* fromProto(Color* protocolor) {
+ # float red = [protocolor red];
+ # float green = [protocolor green];
+ # float blue = [protocolor blue];
+ # FloatValue* alpha_wrapper = [protocolor alpha];
+ # float alpha = 1.0;
+ # if (alpha_wrapper != nil) {
+ # alpha = [alpha_wrapper value];
+ # }
+ # return [UIColor colorWithRed:red green:green blue:blue alpha:alpha];
+ # }
+ #
+ # static Color* toProto(UIColor* color) {
+ # CGFloat red, green, blue, alpha;
+ # if (![color getRed:&red green:&green blue:&blue alpha:&alpha]) {
+ # return nil;
+ # }
+ # Color* result = [[Color alloc] init];
+ # [result setRed:red];
+ # [result setGreen:green];
+ # [result setBlue:blue];
+ # if (alpha <= 0.9999) {
+ # [result setAlpha:floatWrapperWithValue(alpha)];
+ # }
+ # [result autorelease];
+ # return result;
+ # }
+ # // ...
+ #
+ # Example (JavaScript):
+ #
+ # // ...
+ #
+ # var protoToCssColor = function(rgb_color) {
+ # var redFrac = rgb_color.red || 0.0;
+ # var greenFrac = rgb_color.green || 0.0;
+ # var blueFrac = rgb_color.blue || 0.0;
+ # var red = Math.floor(redFrac * 255);
+ # var green = Math.floor(greenFrac * 255);
+ # var blue = Math.floor(blueFrac * 255);
+ #
+ # if (!('alpha' in rgb_color)) {
+ # return rgbToCssColor_(red, green, blue);
+ # }
+ #
+ # var alphaFrac = rgb_color.alpha.value || 0.0;
+ # var rgbParams = [red, green, blue].join(',');
+ # return ['rgba(', rgbParams, ',', alphaFrac, ')'].join('');
+ # };
+ #
+ # var rgbToCssColor_ = function(red, green, blue) {
+ # var rgbNumber = new Number((red << 16) | (green << 8) | blue);
+ # var hexString = rgbNumber.toString(16);
+ # var missingZeros = 6 - hexString.length;
+ # var resultBuilder = ['#'];
+ # for (var i = 0; i < missingZeros; i++) {
+ # resultBuilder.push('0');
+ # }
+ # resultBuilder.push(hexString);
+ # return resultBuilder.join('');
+ # };
+ #
+ # // ...
+ "blue": 3.14, # The amount of blue in the color as a value in the interval [0, 1].
+ "alpha": 3.14, # The fraction of this color that should be applied to the pixel. That is,
+ # the final pixel color is defined by the equation:
+ #
+ # pixel color = alpha * (this color) + (1.0 - alpha) * (background color)
+ #
+ # This means that a value of 1.0 corresponds to a solid color, whereas
+ # a value of 0.0 corresponds to a completely transparent color. This
+ # uses a wrapper message rather than a simple float scalar so that it is
+ # possible to distinguish between a default value and the value being unset.
+ # If omitted, this color object is to be rendered as a solid color
+ # (as if the alpha value had been explicitly given with a value of 1.0).
+ "green": 3.14, # The amount of green in the color as a value in the interval [0, 1].
+ "red": 3.14, # The amount of red in the color as a value in the interval [0, 1].
+ },
+ "pixelFraction": 3.14, # The fraction of pixels the color occupies in the image.
+ # Value in range [0, 1].
+ "score": 3.14, # Image-specific score for this color. Value in range [0, 1].
+ },
+ ],
+ },
+ },
+ "faceAnnotations": [ # If present, face detection has completed successfully.
+ { # A face annotation object contains the results of face detection.
+ "panAngle": 3.14, # Yaw angle, which indicates the leftward/rightward angle that the face is
+ # pointing relative to the vertical plane perpendicular to the image. Range
+ # [-180,180].
+ "underExposedLikelihood": "A String", # Under-exposed likelihood.
+ "detectionConfidence": 3.14, # Detection confidence. Range [0, 1].
+ "joyLikelihood": "A String", # Joy likelihood.
+ "landmarks": [ # Detected face landmarks.
+ { # A face-specific landmark (for example, a face feature).
+ "position": { # A 3D position in the image, used primarily for Face detection landmarks. # Face landmark position.
+ # A valid Position must have both x and y coordinates.
+ # The position coordinates are in the same scale as the original image.
+ "y": 3.14, # Y coordinate.
+ "x": 3.14, # X coordinate.
+ "z": 3.14, # Z coordinate (or depth).
+ },
+ "type": "A String", # Face landmark type.
+ },
+ ],
+ "sorrowLikelihood": "A String", # Sorrow likelihood.
+ "blurredLikelihood": "A String", # Blurred likelihood.
+ "tiltAngle": 3.14, # Pitch angle, which indicates the upwards/downwards angle that the face is
+ # pointing relative to the image's horizontal plane. Range [-180,180].
+ "angerLikelihood": "A String", # Anger likelihood.
+ "boundingPoly": { # A bounding polygon for the detected image annotation. # The bounding polygon around the face. The coordinates of the bounding box
+ # are in the original image's scale.
+ # The bounding box is computed to "frame" the face in accordance with human
+ # expectations. It is based on the landmarker results.
+ # Note that one or more x and/or y coordinates may not be generated in the
+ # `BoundingPoly` (the polygon will be unbounded) if only a partial face
+ # appears in the image to be annotated.
+ "normalizedVertices": [ # The bounding polygon normalized vertices.
+ { # A vertex represents a 2D point in the image.
+ # NOTE: the normalized vertex coordinates are relative to the original image
+ # and range from 0 to 1.
+ "y": 3.14, # Y coordinate.
+ "x": 3.14, # X coordinate.
+ },
+ ],
+ "vertices": [ # The bounding polygon vertices.
+ { # A vertex represents a 2D point in the image.
+ # NOTE: the vertex coordinates are in the same scale as the original image.
+ "y": 42, # Y coordinate.
+ "x": 42, # X coordinate.
+ },
+ ],
+ },
+ "rollAngle": 3.14, # Roll angle, which indicates the amount of clockwise/anti-clockwise rotation
+ # of the face relative to the image vertical about the axis perpendicular to
+ # the face. Range [-180,180].
+ "headwearLikelihood": "A String", # Headwear likelihood.
+ "surpriseLikelihood": "A String", # Surprise likelihood.
+ "fdBoundingPoly": { # A bounding polygon for the detected image annotation. # The `fd_bounding_poly` bounding polygon is tighter than the
+ # `boundingPoly`, and encloses only the skin part of the face. Typically, it
+ # is used to eliminate the face from any image analysis that detects the
+ # "amount of skin" visible in an image. It is not based on the
+ # landmarker results, only on the initial face detection, hence
+ # the <code>fd</code> (face detection) prefix.
+ "normalizedVertices": [ # The bounding polygon normalized vertices.
+ { # A vertex represents a 2D point in the image.
+ # NOTE: the normalized vertex coordinates are relative to the original image
+ # and range from 0 to 1.
+ "y": 3.14, # Y coordinate.
+ "x": 3.14, # X coordinate.
+ },
+ ],
+ "vertices": [ # The bounding polygon vertices.
+ { # A vertex represents a 2D point in the image.
+ # NOTE: the vertex coordinates are in the same scale as the original image.
+ "y": 42, # Y coordinate.
+ "x": 42, # X coordinate.
+ },
+ ],
+ },
+ "landmarkingConfidence": 3.14, # Face landmarking confidence. Range [0, 1].
+ },
+ ],
+ "productSearchResults": { # Results for a product search request. # If present, product search has completed successfully.
+ "productGroupedResults": [ # List of results grouped by products detected in the query image. Each entry
+ # corresponds to one bounding polygon in the query image, and contains the
+ # matching products specific to that region. There may be duplicate product
+ # matches in the union of all the per-product results.
+ { # Information about the products similar to a single product in a query
+ # image.
+ "results": [ # List of results, one for each product match.
+ { # Information about a product.
+ "image": "A String", # The resource name of the image from the product that is the closest match
+ # to the query.
+ "score": 3.14, # A confidence level on the match, ranging from 0 (no confidence) to
+ # 1 (full confidence).
+ "product": { # A Product contains ReferenceImages. # The Product.
+ "productLabels": [ # Key-value pairs that can be attached to a product. At query time,
+ # constraints can be specified based on the product_labels.
+ #
+ # Note that integer values can be provided as strings, e.g. "1199". Only
+ # strings with integer values can match a range-based restriction which is
+ # to be supported soon.
+ #
+ # Multiple values can be assigned to the same key. One product may have up to
+ # 100 product_labels.
+ { # A product label represented as a key-value pair.
+ "key": "A String", # The key of the label attached to the product. Cannot be empty and cannot
+ # exceed 128 bytes.
+ "value": "A String", # The value of the label attached to the product. Cannot be empty and
+ # cannot exceed 128 bytes.
+ },
+ ],
+ "displayName": "A String", # The user-provided name for this Product. Must not be empty. Must be at most
+ # 4096 characters long.
+ "name": "A String", # The resource name of the product.
+ #
+ # Format is:
+ # `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID`.
+ #
+ # This field is ignored when creating a product.
+ "productCategory": "A String", # The category for the product identified by the reference image. This should
+ # be either "homegoods-v2", "apparel-v2", or "toys-v2". The legacy categories
+ # "homegoods", "apparel", and "toys" are still supported, but these should
+ # not be used for new products.
+ #
+ # This field is immutable.
+ "description": "A String", # User-provided metadata to be stored with this product. Must be at most 4096
+ # characters long.
+ },
+ },
+ ],
+ "boundingPoly": { # A bounding polygon for the detected image annotation. # The bounding polygon around the product detected in the query image.
+ "normalizedVertices": [ # The bounding polygon normalized vertices.
+ { # A vertex represents a 2D point in the image.
+ # NOTE: the normalized vertex coordinates are relative to the original image
+ # and range from 0 to 1.
+ "y": 3.14, # Y coordinate.
+ "x": 3.14, # X coordinate.
+ },
+ ],
+ "vertices": [ # The bounding polygon vertices.
+ { # A vertex represents a 2D point in the image.
+ # NOTE: the vertex coordinates are in the same scale as the original image.
+ "y": 42, # Y coordinate.
+ "x": 42, # X coordinate.
+ },
+ ],
+ },
+ },
+ ],
+ "results": [ # List of results, one for each product match.
+ { # Information about a product.
+ "image": "A String", # The resource name of the image from the product that is the closest match
+ # to the query.
+ "score": 3.14, # A confidence level on the match, ranging from 0 (no confidence) to
+ # 1 (full confidence).
+ "product": { # A Product contains ReferenceImages. # The Product.
+ "productLabels": [ # Key-value pairs that can be attached to a product. At query time,
+ # constraints can be specified based on the product_labels.
+ #
+ # Note that integer values can be provided as strings, e.g. "1199". Only
+ # strings with integer values can match a range-based restriction which is
+ # to be supported soon.
+ #
+ # Multiple values can be assigned to the same key. One product may have up to
+ # 100 product_labels.
+ { # A product label represented as a key-value pair.
+ "key": "A String", # The key of the label attached to the product. Cannot be empty and cannot
+ # exceed 128 bytes.
+ "value": "A String", # The value of the label attached to the product. Cannot be empty and
+ # cannot exceed 128 bytes.
+ },
+ ],
+ "displayName": "A String", # The user-provided name for this Product. Must not be empty. Must be at most
+ # 4096 characters long.
+ "name": "A String", # The resource name of the product.
+ #
+ # Format is:
+ # `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID`.
+ #
+ # This field is ignored when creating a product.
+ "productCategory": "A String", # The category for the product identified by the reference image. This should
+ # be either "homegoods-v2", "apparel-v2", or "toys-v2". The legacy categories
+ # "homegoods", "apparel", and "toys" are still supported, but these should
+ # not be used for new products.
+ #
+ # This field is immutable.
+ "description": "A String", # User-provided metadata to be stored with this product. Must be at most 4096
+ # characters long.
+ },
+ },
+ ],
+ "indexTime": "A String", # Timestamp of the index which provided these results. Products added to the
+ # product set and products removed from the product set after this time are
+ # not reflected in the current results.
+ },
+ "logoAnnotations": [ # If present, logo detection has completed successfully.
+ { # Set of detected entity features.
+ "confidence": 3.14, # **Deprecated. Use `score` instead.**
+ # The accuracy of the entity detection in an image.
+ # For example, for an image in which the "Eiffel Tower" entity is detected,
+ # this field represents the confidence that there is a tower in the query
+ # image. Range [0, 1].
+ "description": "A String", # Entity textual description, expressed in its `locale` language.
+ "locale": "A String", # The language code for the locale in which the entity textual
+ # `description` is expressed.
+ "topicality": 3.14, # The relevancy of the ICA (Image Content Annotation) label to the
+ # image. For example, the relevancy of "tower" is likely higher to an image
+ # containing the detected "Eiffel Tower" than to an image containing a
+ # detected distant towering building, even though the confidence that
+ # there is a tower in each image may be the same. Range [0, 1].
+ "locations": [ # The location information for the detected entity. Multiple
+ # `LocationInfo` elements can be present because one location may
+ # indicate the location of the scene in the image, and another location
+ # may indicate the location of the place where the image was taken.
+ # Location information is usually present for landmarks.
+ { # Detected entity location information.
+ "latLng": { # An object representing a latitude/longitude pair. This is expressed as a pair # lat/long location coordinates.
+ # of doubles representing degrees latitude and degrees longitude. Unless
+ # specified otherwise, this must conform to the
+ # <a href="http://www.unoosa.org/pdf/icg/2012/template/WGS_84.pdf">WGS84
+ # standard</a>. Values must be within normalized ranges.
+ "latitude": 3.14, # The latitude in degrees. It must be in the range [-90.0, +90.0].
+ "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
+ # [Google Knowledge Graph Search
+ # API](https://developers.google.com/knowledge-graph/).
+ "score": 3.14, # Overall score of the result. Range [0, 1].
+ "boundingPoly": { # A bounding polygon for the detected image annotation. # Image region to which this entity belongs. Not produced
+ # for `LABEL_DETECTION` features.
+ "normalizedVertices": [ # The bounding polygon normalized vertices.
+ { # A vertex represents a 2D point in the image.
+ # NOTE: the normalized vertex coordinates are relative to the original image
+ # and range from 0 to 1.
+ "y": 3.14, # Y coordinate.
+ "x": 3.14, # X coordinate.
+ },
+ ],
+ "vertices": [ # The bounding polygon vertices.
+ { # A vertex represents a 2D point in the image.
+ # NOTE: the vertex coordinates are in the same scale as the original image.
+ "y": 42, # Y coordinate.
+ "x": 42, # X coordinate.
+ },
+ ],
+ },
+ "properties": [ # Some entities may have optional user-supplied `Property` (name/value)
+ # fields, such a score or string that qualifies the entity.
+ { # A `Property` consists of a user-supplied name/value pair.
+ "uint64Value": "A String", # Value of numeric properties.
+ "name": "A String", # Name of the property.
+ "value": "A String", # Value of the property.
+ },
+ ],
+ },
+ ],
+ "landmarkAnnotations": [ # If present, landmark detection has completed successfully.
+ { # Set of detected entity features.
+ "confidence": 3.14, # **Deprecated. Use `score` instead.**
+ # The accuracy of the entity detection in an image.
+ # For example, for an image in which the "Eiffel Tower" entity is detected,
+ # this field represents the confidence that there is a tower in the query
+ # image. Range [0, 1].
+ "description": "A String", # Entity textual description, expressed in its `locale` language.
+ "locale": "A String", # The language code for the locale in which the entity textual
+ # `description` is expressed.
+ "topicality": 3.14, # The relevancy of the ICA (Image Content Annotation) label to the
+ # image. For example, the relevancy of "tower" is likely higher to an image
+ # containing the detected "Eiffel Tower" than to an image containing a
+ # detected distant towering building, even though the confidence that
+ # there is a tower in each image may be the same. Range [0, 1].
+ "locations": [ # The location information for the detected entity. Multiple
+ # `LocationInfo` elements can be present because one location may
+ # indicate the location of the scene in the image, and another location
+ # may indicate the location of the place where the image was taken.
+ # Location information is usually present for landmarks.
+ { # Detected entity location information.
+ "latLng": { # An object representing a latitude/longitude pair. This is expressed as a pair # lat/long location coordinates.
+ # of doubles representing degrees latitude and degrees longitude. Unless
+ # specified otherwise, this must conform to the
+ # <a href="http://www.unoosa.org/pdf/icg/2012/template/WGS_84.pdf">WGS84
+ # standard</a>. Values must be within normalized ranges.
+ "latitude": 3.14, # The latitude in degrees. It must be in the range [-90.0, +90.0].
+ "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
+ # [Google Knowledge Graph Search
+ # API](https://developers.google.com/knowledge-graph/).
+ "score": 3.14, # Overall score of the result. Range [0, 1].
+ "boundingPoly": { # A bounding polygon for the detected image annotation. # Image region to which this entity belongs. Not produced
+ # for `LABEL_DETECTION` features.
+ "normalizedVertices": [ # The bounding polygon normalized vertices.
+ { # A vertex represents a 2D point in the image.
+ # NOTE: the normalized vertex coordinates are relative to the original image
+ # and range from 0 to 1.
+ "y": 3.14, # Y coordinate.
+ "x": 3.14, # X coordinate.
+ },
+ ],
+ "vertices": [ # The bounding polygon vertices.
+ { # A vertex represents a 2D point in the image.
+ # NOTE: the vertex coordinates are in the same scale as the original image.
+ "y": 42, # Y coordinate.
+ "x": 42, # X coordinate.
+ },
+ ],
+ },
+ "properties": [ # Some entities may have optional user-supplied `Property` (name/value)
+ # fields, such a score or string that qualifies the entity.
+ { # A `Property` consists of a user-supplied name/value pair.
+ "uint64Value": "A String", # Value of numeric properties.
+ "name": "A String", # Name of the property.
+ "value": "A String", # Value of the property.
+ },
+ ],
+ },
+ ],
+ "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
+ # comes from.
+ # information about the source of that image.
+ "pageNumber": 42, # If the file was a PDF or TIFF, this field gives the page number within
+ # the file used to produce the image.
+ "uri": "A String", # The URI of the file used to produce the image.
+ },
+ "error": { # The `Status` type defines a logical error model that is suitable for # If set, represents the error message for the operation.
+ # Note that filled-in image annotations are guaranteed to be
+ # correct, even when `error` is set.
+ # different programming environments, including REST APIs and RPC APIs. It is
+ # used by [gRPC](https://github.com/grpc). Each `Status` message contains
+ # three pieces of data: error code, error message, and error details.
+ #
+ # You can find out more about this error model and how to work with it in the
+ # [API Design Guide](https://cloud.google.com/apis/design/errors).
+ "message": "A String", # A developer-facing error message, which should be in English. Any
+ # user-facing error message should be localized and sent in the
+ # google.rpc.Status.details field, or localized by the client.
+ "code": 42, # The status code, which should be an enum value of google.rpc.Code.
+ "details": [ # A list of messages that carry the error details. There is a common set of
+ # message types for APIs to use.
+ {
+ "a_key": "", # Properties of the object. Contains field @type with type URL.
+ },
+ ],
+ },
+ "cropHintsAnnotation": { # Set of crop hints that are used to generate new crops when serving images. # If present, crop hints have completed successfully.
+ "cropHints": [ # Crop hint results.
+ { # Single crop hint that is used to generate a new crop when serving an image.
+ "confidence": 3.14, # Confidence of this being a salient region. Range [0, 1].
+ "boundingPoly": { # A bounding polygon for the detected image annotation. # The bounding polygon for the crop region. The coordinates of the bounding
+ # box are in the original image's scale.
+ "normalizedVertices": [ # The bounding polygon normalized vertices.
+ { # A vertex represents a 2D point in the image.
+ # NOTE: the normalized vertex coordinates are relative to the original image
+ # and range from 0 to 1.
+ "y": 3.14, # Y coordinate.
+ "x": 3.14, # X coordinate.
+ },
+ ],
+ "vertices": [ # The bounding polygon vertices.
+ { # A vertex represents a 2D point in the image.
+ # NOTE: the vertex coordinates are in the same scale as the original image.
+ "y": 42, # Y coordinate.
+ "x": 42, # X coordinate.
+ },
+ ],
+ },
+ "importanceFraction": 3.14, # Fraction of importance of this salient region with respect to the original
+ # image.
+ },
+ ],
+ },
+ },
+ ],
+ "inputConfig": { # The desired input location and metadata. # Information about the file for which this response is generated.
+ "content": "A String", # File content, represented as a stream of bytes.
+ # Note: As with all `bytes` fields, protobuffers use a pure binary
+ # representation, whereas JSON representations use base64.
+ #
+ # Currently, this field only works for BatchAnnotateFiles requests. It does
+ # not work for AsyncBatchAnnotateFiles requests.
+ "mimeType": "A String", # The type of the file. Currently only "application/pdf", "image/tiff" and
+ # "image/gif" are supported. Wildcards are not supported.
+ "gcsSource": { # The Google Cloud Storage location where the input will be read from. # The Google Cloud Storage location to read the input from.
+ "uri": "A String", # Google Cloud Storage URI for the input file. This must only be a
+ # Google Cloud Storage object. Wildcards are not currently supported.
+ },
+ },
+ },
+ ],
+ }</pre>
+</div>
+
+<div class="method">
+ <code class="details" id="asyncBatchAnnotate">asyncBatchAnnotate(body, x__xgafv=None)</code>
+ <pre>Run asynchronous image detection and annotation for a list of generic
+files, such as PDF files, which may contain multiple pages and multiple
+images per page. Progress and results can be retrieved through the
+`google.longrunning.Operations` interface.
+`Operation.metadata` contains `OperationMetadata` (metadata).
+`Operation.response` contains `AsyncBatchAnnotateFilesResponse` (results).
+
+Args:
+ body: object, The request body. (required)
+ The object takes the form of:
+
+{ # Multiple async file annotation requests are batched into a single service
+ # call.
+ "requests": [ # Individual async file annotation requests for this batch.
+ { # An offline file annotation request.
+ "imageContext": { # Image context and/or feature-specific parameters. # Additional context that may accompany the image(s) in the file.
+ "latLongRect": { # Rectangle determined by min and max `LatLng` pairs. # Not used.
+ "minLatLng": { # An object representing a latitude/longitude pair. This is expressed as a pair # Min lat/long pair.
+ # of doubles representing degrees latitude and degrees longitude. Unless
+ # specified otherwise, this must conform to the
+ # <a href="http://www.unoosa.org/pdf/icg/2012/template/WGS_84.pdf">WGS84
+ # standard</a>. Values must be within normalized ranges.
+ "latitude": 3.14, # The latitude in degrees. It must be in the range [-90.0, +90.0].
+ "longitude": 3.14, # The longitude in degrees. It must be in the range [-180.0, +180.0].
+ },
+ "maxLatLng": { # An object representing a latitude/longitude pair. This is expressed as a pair # Max lat/long pair.
+ # of doubles representing degrees latitude and degrees longitude. Unless
+ # specified otherwise, this must conform to the
+ # <a href="http://www.unoosa.org/pdf/icg/2012/template/WGS_84.pdf">WGS84
+ # standard</a>. Values must be within normalized ranges.
+ "latitude": 3.14, # The latitude in degrees. It must be in the range [-90.0, +90.0].
+ "longitude": 3.14, # The longitude in degrees. It must be in the range [-180.0, +180.0].
+ },
+ },
+ "languageHints": [ # List of languages to use for TEXT_DETECTION. In most cases, an empty value
+ # yields the best results since it enables automatic language detection. For
+ # languages based on the Latin alphabet, setting `language_hints` is not
+ # needed. In rare cases, when the language of the text in the image is known,
+ # setting a hint will help get better results (although it will be a
+ # significant hindrance if the hint is wrong). Text detection returns an
+ # error if one or more of the specified languages is not one of the
+ # [supported languages](/vision/docs/languages).
+ "A String",
+ ],
+ "productSearchParams": { # Parameters for a product search request. # Parameters for product search.
+ "filter": "A String", # The filtering expression. This can be used to restrict search results based
+ # on Product labels. We currently support an AND of OR of key-value
+ # expressions, where each expression within an OR must have the same key. An
+ # '=' should be used to connect the key and value.
+ #
+ # For example, "(color = red OR color = blue) AND brand = Google" is
+ # acceptable, but "(color = red OR brand = Google)" is not acceptable.
+ # "color: red" is not acceptable because it uses a ':' instead of an '='.
+ "productCategories": [ # The list of product categories to search in. Currently, we only consider
+ # the first category, and either "homegoods-v2", "apparel-v2", or "toys-v2"
+ # should be specified. The legacy categories "homegoods", "apparel", and
+ # "toys" are still supported but will be deprecated. For new products, please
+ # use "homegoods-v2", "apparel-v2", or "toys-v2" for better product search
+ # accuracy. It is recommended to migrate existing products to these
+ # categories as well.
+ "A String",
+ ],
+ "productSet": "A String", # The resource name of a ProductSet to be searched for similar images.
+ #
+ # Format is:
+ # `projects/PROJECT_ID/locations/LOC_ID/productSets/PRODUCT_SET_ID`.
+ "boundingPoly": { # A bounding polygon for the detected image annotation. # The bounding polygon around the area of interest in the image.
+ # Optional. If it is not specified, system discretion will be applied.
+ "normalizedVertices": [ # The bounding polygon normalized vertices.
+ { # A vertex represents a 2D point in the image.
+ # NOTE: the normalized vertex coordinates are relative to the original image
+ # and range from 0 to 1.
+ "y": 3.14, # Y coordinate.
+ "x": 3.14, # X coordinate.
+ },
+ ],
+ "vertices": [ # The bounding polygon vertices.
+ { # A vertex represents a 2D point in the image.
+ # NOTE: the vertex coordinates are in the same scale as the original image.
+ "y": 42, # Y coordinate.
+ "x": 42, # X coordinate.
+ },
+ ],
+ },
+ },
+ "cropHintsParams": { # Parameters for crop hints annotation request. # Parameters for crop hints annotation request.
+ "aspectRatios": [ # Aspect ratios in floats, representing the ratio of the width to the height
+ # of the image. For example, if the desired aspect ratio is 4/3, the
+ # corresponding float value should be 1.33333. If not specified, the
+ # best possible crop is returned. The number of provided aspect ratios is
+ # limited to a maximum of 16; any aspect ratios provided after the 16th are
+ # ignored.
+ 3.14,
+ ],
+ },
+ "webDetectionParams": { # Parameters for web detection request. # Parameters for web detection.
+ "includeGeoResults": True or False, # Whether to include results derived from the geo information in the image.
+ },
+ },
+ "outputConfig": { # The desired output location and metadata. # Required. The desired output location and metadata (e.g. format).
+ "batchSize": 42, # The max number of response protos to put into each output JSON file on
+ # Google Cloud Storage.
+ # The valid range is [1, 100]. If not specified, the default value is 20.
+ #
+ # For example, for one pdf file with 100 pages, 100 response protos will
+ # be generated. If `batch_size` = 20, then 5 json files each
+ # containing 20 response protos will be written under the prefix
+ # `gcs_destination`.`uri`.
+ #
+ # Currently, batch_size only applies to GcsDestination, with potential future
+ # support for other output configurations.
+ "gcsDestination": { # The Google Cloud Storage location where the output will be written to. # The Google Cloud Storage location to write the output(s) to.
+ "uri": "A String", # Google Cloud Storage URI prefix where the results will be stored. Results
+ # will be in JSON format and preceded by its corresponding input URI prefix.
+ # This field can either represent a gcs file prefix or gcs directory. In
+ # either case, the uri should be unique because in order to get all of the
+ # output files, you will need to do a wildcard gcs search on the uri prefix
+ # you provide.
+ #
+ # Examples:
+ #
+ # * File Prefix: gs://bucket-name/here/filenameprefix The output files
+ # will be created in gs://bucket-name/here/ and the names of the
+ # output files will begin with "filenameprefix".
+ #
+ # * Directory Prefix: gs://bucket-name/some/location/ The output files
+ # will be created in gs://bucket-name/some/location/ and the names of the
+ # output files could be anything because there was no filename prefix
+ # specified.
+ #
+ # If multiple outputs, each response is still AnnotateFileResponse, each of
+ # which contains some subset of the full list of AnnotateImageResponse.
+ # Multiple outputs can happen if, for example, the output JSON is too large
+ # and overflows into multiple sharded files.
+ },
+ },
+ "inputConfig": { # The desired input location and metadata. # Required. Information about the input file.
+ "content": "A String", # File content, represented as a stream of bytes.
+ # Note: As with all `bytes` fields, protobuffers use a pure binary
+ # representation, whereas JSON representations use base64.
+ #
+ # Currently, this field only works for BatchAnnotateFiles requests. It does
+ # not work for AsyncBatchAnnotateFiles requests.
+ "mimeType": "A String", # The type of the file. Currently only "application/pdf", "image/tiff" and
+ # "image/gif" are supported. Wildcards are not supported.
+ "gcsSource": { # The Google Cloud Storage location where the input will be read from. # The Google Cloud Storage location to read the input from.
+ "uri": "A String", # Google Cloud Storage URI for the input file. This must only be a
+ # Google Cloud Storage object. Wildcards are not currently supported.
+ },
+ },
+ "features": [ # Required. Requested features.
+ { # The type of Google Cloud Vision API detection to perform, and the maximum
+ # number of results to return for that type. Multiple `Feature` objects can
+ # be specified in the `features` list.
+ "model": "A String", # Model to use for the feature.
+ # Supported values: "builtin/stable" (the default if unset) and
+ # "builtin/latest".
+ "type": "A String", # The feature type.
+ "maxResults": 42, # Maximum number of results of this type. Does not apply to
+ # `TEXT_DETECTION`, `DOCUMENT_TEXT_DETECTION`, or `CROP_HINTS`.
+ },
+ ],
+ },
+ ],
+ }
+
+ x__xgafv: string, V1 error format.
+ Allowed values
+ 1 - v1 error format
+ 2 - v2 error format
+
+Returns:
+ An object of the form:
+
+ { # This resource represents a long-running operation that is the result of a
+ # network API call.
+ "response": { # The normal response of the operation in case of success. If the original
+ # method returns no data on success, such as `Delete`, the response is
+ # `google.protobuf.Empty`. If the original method is standard
+ # `Get`/`Create`/`Update`, the response should be the resource. For other
+ # methods, the response should have the type `XxxResponse`, where `Xxx`
+ # is the original method name. For example, if the original method name
+ # is `TakeSnapshot()`, the inferred response type is
+ # `TakeSnapshotResponse`.
+ "a_key": "", # Properties of the object. Contains field @type with type URL.
+ },
+ "metadata": { # Service-specific metadata associated with the operation. It typically
+ # contains progress information and common metadata such as create time.
+ # Some services might not provide such metadata. Any method that returns a
+ # long-running operation should document the metadata type, if any.
+ "a_key": "", # Properties of the object. Contains field @type with type URL.
+ },
+ "done": True or False, # If the value is `false`, it means the operation is still in progress.
+ # If `true`, the operation is completed, and either `error` or `response` is
+ # available.
+ "name": "A String", # The server-assigned name, which is only unique within the same service that
+ # originally returns it. If you use the default HTTP mapping, the
+ # `name` should be a resource name ending with `operations/{unique_id}`.
+ "error": { # The `Status` type defines a logical error model that is suitable for # The error result of the operation in case of failure or cancellation.
+ # different programming environments, including REST APIs and RPC APIs. It is
+ # used by [gRPC](https://github.com/grpc). Each `Status` message contains
+ # three pieces of data: error code, error message, and error details.
+ #
+ # You can find out more about this error model and how to work with it in the
+ # [API Design Guide](https://cloud.google.com/apis/design/errors).
+ "message": "A String", # A developer-facing error message, which should be in English. Any
+ # user-facing error message should be localized and sent in the
+ # google.rpc.Status.details field, or localized by the client.
+ "code": 42, # The status code, which should be an enum value of google.rpc.Code.
+ "details": [ # A list of messages that carry the error details. There is a common set of
+ # message types for APIs to use.
+ {
+ "a_key": "", # Properties of the object. Contains field @type with type URL.
+ },
+ ],
+ },
+ }</pre>
+</div>
+
+</body></html>
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