docs: update docs (#916)
* fix: re-run script
* test: fix noxfile
diff --git a/docs/dyn/vision_v1p2beta1.projects.files.html b/docs/dyn/vision_v1p2beta1.projects.files.html
index bbf1be7..84101d5 100644
--- a/docs/dyn/vision_v1p2beta1.projects.files.html
+++ b/docs/dyn/vision_v1p2beta1.projects.files.html
@@ -123,90 +123,6 @@
"requests": [ # Required. 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.
- "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](https://cloud.google.com/vision/docs/languages).
- "A String",
- ],
- "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.
- },
- "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].
- },
- },
- "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,
- ],
- },
- "productSearchParams": { # Parameters for a product search request. # Parameters for product search.
- "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.
- # 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.
- },
- ],
- },
- "productCategories": [ # The list of product categories to search in. Currently, we only consider
- # the first category, and either "homegoods-v2", "apparel-v2", "toys-v2",
- # "packagedgoods-v1", or "general-v1" should be specified. The legacy
- # categories "homegoods", "apparel", and "toys" are still supported but will
- # be deprecated. For new products, please use "homegoods-v2", "apparel-v2",
- # or "toys-v2" for better product search accuracy. It is recommended to
- # migrate existing products to these categories as well.
- "A String",
- ],
- "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 '='.
- },
- },
"pages": [ # Pages of the file to perform image annotation.
#
# Pages starts from 1, we assume the first page of the file is page 1.
@@ -249,6 +165,90 @@
# "builtin/latest".
},
],
+ "imageContext": { # Image context and/or feature-specific parameters. # Additional context that may accompany the image(s) in the file.
+ "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,
+ ],
+ },
+ "productSearchParams": { # Parameters for a product search request. # Parameters for product search.
+ "productCategories": [ # The list of product categories to search in. Currently, we only consider
+ # the first category, and either "homegoods-v2", "apparel-v2", "toys-v2",
+ # "packagedgoods-v1", or "general-v1" should be specified. The legacy
+ # categories "homegoods", "apparel", and "toys" are still supported but will
+ # be deprecated. For new products, please use "homegoods-v2", "apparel-v2",
+ # or "toys-v2" for better product search accuracy. It is recommended to
+ # migrate existing products to these categories as well.
+ "A String",
+ ],
+ "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 '='.
+ "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.
+ # 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.
+ "x": 3.14, # X coordinate.
+ "y": 3.14, # Y 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.
+ },
+ ],
+ },
+ },
+ "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](https://cloud.google.com/vision/docs/languages).
+ "A String",
+ ],
+ "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.
+ },
+ "latLongRect": { # Rectangle determined by min and max `LatLng` pairs. # Not used.
+ "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].
+ },
+ "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].
+ },
+ },
+ },
},
],
}
@@ -266,7 +266,6 @@
# 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.
"error": { # The `Status` type defines a logical error model that is suitable for # If set, represents the error message for the failed request. The
# `responses` field will not be set in this case.
# different programming environments, including REST APIs and RPC APIs. It is
@@ -289,401 +288,17 @@
"responses": [ # Individual responses to images found within the file. This field will be
# empty if the `error` field is set.
{ # Response to an image annotation request.
- "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.
- "uri": "A String", # The URI of the file used to produce the 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.
- },
- "logoAnnotations": [ # If present, logo detection has completed successfully.
- { # Set of detected entity features.
- "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.
- },
- ],
- "score": 3.14, # Overall score of the result. 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/).
- "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].
- "locale": "A String", # The language code for the locale in which the entity textual
- # `description` is expressed.
- "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.
- },
- ],
- },
- "description": "A String", # Entity textual description, expressed in its `locale` language.
- "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].
- },
- ],
- "webDetection": { # Relevant information for the image from the Internet. # If present, web detection has completed successfully.
- "webEntities": [ # Deduced entities from similar images on the Internet.
- { # Entity deduced from similar images on the Internet.
- "entityId": "A String", # Opaque entity ID.
- "description": "A String", # Canonical description of the entity, in English.
- "score": 3.14, # Overall relevancy score for the entity.
- # Not normalized and not comparable across different image queries.
- },
- ],
- "pagesWithMatchingImages": [ # Web pages containing the matching images from the Internet.
- { # Metadata for web pages.
- "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.
- "score": 3.14, # (Deprecated) Overall relevancy score for the image.
- "url": "A String", # The result image URL.
- },
- ],
- "url": "A String", # The result web page URL.
- "pageTitle": "A String", # Title for the web page, may contain HTML markups.
- "fullMatchingImages": [ # Fully matching images on the page.
- # Can include resized copies of the query image.
- { # Metadata for online images.
- "score": 3.14, # (Deprecated) Overall relevancy score for the image.
- "url": "A String", # The result image URL.
- },
- ],
- },
- ],
- "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.
- "score": 3.14, # (Deprecated) Overall relevancy score for the image.
- "url": "A String", # The result image URL.
- },
- ],
- "visuallySimilarImages": [ # The visually similar image results.
- { # Metadata for online images.
- "score": 3.14, # (Deprecated) Overall relevancy score for the image.
- "url": "A String", # The result image URL.
- },
- ],
- "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.
- "label": "A String", # Label for extra metadata.
- "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.
- },
- ],
- "fullMatchingImages": [ # Fully matching images from the Internet.
- # Can include resized copies of the query image.
- { # Metadata for online images.
- "score": 3.14, # (Deprecated) Overall relevancy score for the image.
- "url": "A String", # The result image URL.
- },
- ],
- },
- "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).
- "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.
- "violence": "A String", # Likelihood that this image contains violent content.
- "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.
- "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.
- "medical": "A String", # Likelihood that this is a medical image.
- },
- "landmarkAnnotations": [ # If present, landmark detection has completed successfully.
- { # Set of detected entity features.
- "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.
- },
- ],
- "score": 3.14, # Overall score of the result. 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/).
- "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].
- "locale": "A String", # The language code for the locale in which the entity textual
- # `description` is expressed.
- "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.
- },
- ],
- },
- "description": "A String", # Entity textual description, expressed in its `locale` language.
- "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].
- },
- ],
- "faceAnnotations": [ # If present, face detection has completed successfully.
- { # A face annotation object contains the results of face detection.
- "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].
- "sorrowLikelihood": "A String", # Sorrow 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].
- "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.
- },
- ],
- },
- "angerLikelihood": "A String", # Anger 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.
- },
- ],
- "surpriseLikelihood": "A String", # Surprise likelihood.
- "landmarkingConfidence": 3.14, # Face landmarking confidence. Range [0, 1].
- "joyLikelihood": "A String", # Joy likelihood.
- "underExposedLikelihood": "A String", # Under-exposed likelihood.
- "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].
- "detectionConfidence": 3.14, # Detection confidence. Range [0, 1].
- "blurredLikelihood": "A String", # Blurred likelihood.
- "headwearLikelihood": "A String", # Headwear likelihood.
- },
- ],
- "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].
- "importanceFraction": 3.14, # Fraction of importance of this salient region with respect to the original
- # image.
- "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.
- },
- ],
- },
- },
- ],
- },
- "labelAnnotations": [ # If present, label detection has completed successfully.
- { # Set of detected entity features.
- "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.
- },
- ],
- "score": 3.14, # Overall score of the result. 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/).
- "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].
- "locale": "A String", # The language code for the locale in which the entity textual
- # `description` is expressed.
- "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.
- },
- ],
- },
- "description": "A String", # Entity textual description, expressed in its `locale` language.
- "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].
- },
- ],
"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.
- "mid": "A String", # Object ID that should align with EntityAnnotation mid.
"name": "A String", # Object name, expressed in its `language_code` language.
"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.
+ "y": 3.14, # Y coordinate.
},
],
"vertices": [ # The bounding polygon vertices.
@@ -695,110 +310,18 @@
],
},
"score": 3.14, # Score of the result. Range [0, 1].
+ "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.
+ "mid": "A String", # Object ID that should align with EntityAnnotation mid.
},
],
"productSearchResults": { # Results for a product search request. # If present, product search has completed successfully.
- "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.
- "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.
- "objectAnnotations": [ # List of generic predictions for the object in the bounding box.
- { # Prediction for what the object in the bounding box is.
- "score": 3.14, # Score of the result. Range [0, 1].
- "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.
- "mid": "A String", # Object ID that should align with EntityAnnotation mid.
- "name": "A String", # Object name, expressed in its `language_code` language.
- },
- ],
- "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.
- "product": { # A Product contains ReferenceImages. # The Product.
- "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.
- "displayName": "A String", # The user-provided name for this Product. Must not be empty. Must be at most
- # 4096 characters long.
- "description": "A String", # User-provided metadata to be stored with this product. Must be at most 4096
- # characters long.
- "productCategory": "A String", # Immutable. 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.
- "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
- # 500 product_labels.
- #
- # Notice that the total number of distinct product_labels over all products
- # in one ProductSet cannot exceed 1M, otherwise the product search pipeline
- # will refuse to work for that ProductSet.
- { # A product label represented as a key-value pair.
- "value": "A String", # The value of the label attached to the product. Cannot be empty and
- # cannot exceed 128 bytes.
- "key": "A String", # The key of the label attached to the product. Cannot be empty and cannot
- # exceed 128 bytes.
- },
- ],
- },
- "score": 3.14, # A confidence level on the match, ranging from 0 (no confidence) to
- # 1 (full confidence).
- },
- ],
- },
- ],
"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.
"product": { # A Product contains ReferenceImages. # The Product.
- "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.
- "displayName": "A String", # The user-provided name for this Product. Must not be empty. Must be at most
- # 4096 characters long.
- "description": "A String", # User-provided metadata to be stored with this product. Must be at most 4096
- # characters long.
- "productCategory": "A String", # Immutable. 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.
"productLabels": [ # Key-value pairs that can be attached to a product. At query time,
# constraints can be specified based on the product_labels.
#
@@ -819,11 +342,107 @@
# exceed 128 bytes.
},
],
+ "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.
+ "displayName": "A String", # The user-provided name for this Product. Must not be empty. Must be at most
+ # 4096 characters long.
+ "description": "A String", # User-provided metadata to be stored with this product. Must be at most 4096
+ # characters long.
+ "productCategory": "A String", # Immutable. 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.
},
"score": 3.14, # A confidence level on the match, ranging from 0 (no confidence) to
# 1 (full confidence).
},
],
+ "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.
+ "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.
+ "objectAnnotations": [ # List of generic predictions for the object in the bounding box.
+ { # Prediction for what the object in the bounding box is.
+ "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.
+ "mid": "A String", # Object ID that should align with EntityAnnotation mid.
+ "name": "A String", # Object name, expressed in its `language_code` language.
+ "score": 3.14, # Score of the result. Range [0, 1].
+ },
+ ],
+ "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.
+ "x": 3.14, # X coordinate.
+ "y": 3.14, # Y 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.
+ "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
+ # 500 product_labels.
+ #
+ # Notice that the total number of distinct product_labels over all products
+ # in one ProductSet cannot exceed 1M, otherwise the product search pipeline
+ # will refuse to work for that ProductSet.
+ { # A product label represented as a key-value pair.
+ "value": "A String", # The value of the label attached to the product. Cannot be empty and
+ # cannot exceed 128 bytes.
+ "key": "A String", # The key of the label attached to the product. Cannot be empty and cannot
+ # exceed 128 bytes.
+ },
+ ],
+ "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.
+ "displayName": "A String", # The user-provided name for this Product. Must not be empty. Must be at most
+ # 4096 characters long.
+ "description": "A String", # User-provided metadata to be stored with this product. Must be at most 4096
+ # characters long.
+ "productCategory": "A String", # Immutable. 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.
+ },
+ "score": 3.14, # A confidence level on the match, ranging from 0 (no confidence) to
+ # 1 (full confidence).
+ },
+ ],
+ },
+ ],
},
"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
@@ -855,6 +474,7 @@
# 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
@@ -900,8 +520,8 @@
{ # 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.
+ "y": 3.14, # Y coordinate.
},
],
"vertices": [ # The bounding polygon vertices.
@@ -915,20 +535,6 @@
"confidence": 3.14, # Confidence of the OCR results on the block. Range [0, 1].
"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.
- "property": { # Additional information detected on the structural component. # Additional information detected for the paragraph.
- "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].
- },
- ],
- "detectedBreak": { # Detected start or end of a structural component. # Detected start or end of a text segment.
- "type": "A String", # Detected break type.
- "isPrefix": True or False, # True if break prepends the element.
- },
- },
"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
@@ -948,8 +554,8 @@
{ # 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.
+ "y": 3.14, # Y coordinate.
},
],
"vertices": [ # The bounding polygon vertices.
@@ -963,20 +569,6 @@
"confidence": 3.14, # Confidence of the OCR results for the paragraph. Range [0, 1].
"words": [ # List of all words in this paragraph.
{ # A word representation.
- "property": { # Additional information detected on the structural component. # Additional information detected for the word.
- "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].
- },
- ],
- "detectedBreak": { # Detected start or end of a structural component. # Detected start or end of a text segment.
- "type": "A String", # Detected break type.
- "isPrefix": True or False, # True if break prepends the element.
- },
- },
"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
@@ -996,8 +588,8 @@
{ # 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.
+ "y": 3.14, # Y coordinate.
},
],
"vertices": [ # The bounding polygon vertices.
@@ -1012,6 +604,21 @@
"symbols": [ # List of symbols in the word.
# The order of the symbols follows the natural reading order.
{ # A single symbol representation.
+ "text": "A String", # The actual UTF-8 representation of the symbol.
+ "property": { # Additional information detected on the structural component. # Additional information detected for the symbol.
+ "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].
+ },
+ ],
+ "detectedBreak": { # Detected start or end of a structural component. # Detected start or end of a text segment.
+ "type": "A String", # Detected break type.
+ "isPrefix": True or False, # True if break prepends the element.
+ },
+ },
"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
@@ -1031,8 +638,8 @@
{ # 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.
+ "y": 3.14, # Y coordinate.
},
],
"vertices": [ # The bounding polygon vertices.
@@ -1044,25 +651,38 @@
],
},
"confidence": 3.14, # Confidence of the OCR results for the symbol. Range [0, 1].
- "text": "A String", # The actual UTF-8 representation of the symbol.
- "property": { # Additional information detected on the structural component. # Additional information detected for the symbol.
- "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].
- },
- ],
- "detectedBreak": { # Detected start or end of a structural component. # Detected start or end of a text segment.
- "type": "A String", # Detected break type.
- "isPrefix": True or False, # True if break prepends the element.
- },
- },
},
],
+ "property": { # Additional information detected on the structural component. # Additional information detected for the word.
+ "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].
+ },
+ ],
+ "detectedBreak": { # Detected start or end of a structural component. # Detected start or end of a text segment.
+ "type": "A String", # Detected break type.
+ "isPrefix": True or False, # True if break prepends the element.
+ },
+ },
},
],
+ "property": { # Additional information detected on the structural component. # Additional information detected for the paragraph.
+ "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].
+ },
+ ],
+ "detectedBreak": { # Detected start or end of a structural component. # Detected start or end of a text segment.
+ "type": "A String", # Detected break type.
+ "isPrefix": True or False, # True if break prepends the element.
+ },
+ },
},
],
},
@@ -1086,16 +706,41 @@
# TIFFs) the unit is pixels.
},
],
- "text": "A String", # UTF-8 text detected on the pages.
},
"textAnnotations": [ # If present, text (OCR) detection has completed successfully.
{ # Set of detected entity features.
+ "locale": "A String", # The language code for the locale in which the entity textual
+ # `description` is expressed.
+ "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.
+ "x": 3.14, # X coordinate.
+ "y": 3.14, # Y 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.
+ },
+ ],
+ },
+ "description": "A String", # Entity textual description, expressed in its `locale` language.
+ "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].
"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.
+ "value": "A String", # Value of the property.
"uint64Value": "A String", # Value of numeric properties.
"name": "A String", # Name of the property.
- "value": "A String", # Value of the property.
},
],
"score": 3.14, # Overall score of the result. Range [0, 1].
@@ -1123,32 +768,6 @@
# 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].
- "locale": "A String", # The language code for the locale in which the entity textual
- # `description` is expressed.
- "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.
- },
- ],
- },
- "description": "A String", # Entity textual description, expressed in its `locale` language.
- "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].
},
],
"imagePropertiesAnnotation": { # Stores image properties, such as dominant colors. # If present, image properties were extracted successfully.
@@ -1277,7 +896,6 @@
# };
#
# // ...
- "red": 3.14, # The amount of red in the color as a value in the interval [0, 1].
"green": 3.14, # The amount of green in the color as a value in the interval [0, 1].
"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,
@@ -1291,12 +909,393 @@
# 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).
+ "red": 3.14, # The amount of red in the color as a value in the interval [0, 1].
},
"score": 3.14, # Image-specific score for this color. Value in range [0, 1].
},
],
},
},
+ "logoAnnotations": [ # If present, logo detection has completed successfully.
+ { # Set of detected entity features.
+ "locale": "A String", # The language code for the locale in which the entity textual
+ # `description` is expressed.
+ "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.
+ "x": 3.14, # X coordinate.
+ "y": 3.14, # Y 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.
+ },
+ ],
+ },
+ "description": "A String", # Entity textual description, expressed in its `locale` language.
+ "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].
+ "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.
+ "value": "A String", # Value of the property.
+ "uint64Value": "A String", # Value of numeric properties.
+ "name": "A String", # Name of the property.
+ },
+ ],
+ "score": 3.14, # Overall score of the result. 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/).
+ "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].
+ },
+ ],
+ "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.
+ "uri": "A String", # The URI of the file used to produce the 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.
+ },
+ "webDetection": { # Relevant information for the image from the Internet. # If present, web detection has completed successfully.
+ "visuallySimilarImages": [ # The visually similar image results.
+ { # Metadata for online images.
+ "score": 3.14, # (Deprecated) Overall relevancy score for the image.
+ "url": "A String", # The result image URL.
+ },
+ ],
+ "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.
+ "label": "A String", # Label for extra metadata.
+ "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.
+ },
+ ],
+ "fullMatchingImages": [ # Fully matching images from the Internet.
+ # Can include resized copies of the query image.
+ { # Metadata for online images.
+ "score": 3.14, # (Deprecated) Overall relevancy score for the image.
+ "url": "A String", # The result image URL.
+ },
+ ],
+ "webEntities": [ # Deduced entities from similar images on the Internet.
+ { # Entity deduced from similar images on the Internet.
+ "entityId": "A String", # Opaque entity ID.
+ "description": "A String", # Canonical description of the entity, in English.
+ "score": 3.14, # Overall relevancy score for the entity.
+ # Not normalized and not comparable across different image queries.
+ },
+ ],
+ "pagesWithMatchingImages": [ # Web pages containing the matching images from the Internet.
+ { # Metadata for web pages.
+ "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.
+ "score": 3.14, # (Deprecated) Overall relevancy score for the image.
+ "url": "A String", # The result image URL.
+ },
+ ],
+ "url": "A String", # The result web page URL.
+ "pageTitle": "A String", # Title for the web page, may contain HTML markups.
+ "fullMatchingImages": [ # Fully matching images on the page.
+ # Can include resized copies of the query image.
+ { # Metadata for online images.
+ "score": 3.14, # (Deprecated) Overall relevancy score for the image.
+ "url": "A String", # The result image URL.
+ },
+ ],
+ },
+ ],
+ "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.
+ "score": 3.14, # (Deprecated) Overall relevancy score for the image.
+ "url": "A String", # The result image URL.
+ },
+ ],
+ },
+ "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).
+ "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.
+ "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.
+ "medical": "A String", # Likelihood that this is a medical image.
+ "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.
+ "violence": "A String", # Likelihood that this image contains violent content.
+ },
+ "landmarkAnnotations": [ # If present, landmark detection has completed successfully.
+ { # Set of detected entity features.
+ "locale": "A String", # The language code for the locale in which the entity textual
+ # `description` is expressed.
+ "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.
+ "x": 3.14, # X coordinate.
+ "y": 3.14, # Y 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.
+ },
+ ],
+ },
+ "description": "A String", # Entity textual description, expressed in its `locale` language.
+ "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].
+ "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.
+ "value": "A String", # Value of the property.
+ "uint64Value": "A String", # Value of numeric properties.
+ "name": "A String", # Name of the property.
+ },
+ ],
+ "score": 3.14, # Overall score of the result. 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/).
+ "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].
+ },
+ ],
+ "faceAnnotations": [ # If present, face detection has completed successfully.
+ { # A face annotation object contains the results of face detection.
+ "underExposedLikelihood": "A String", # Under-exposed likelihood.
+ "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].
+ "detectionConfidence": 3.14, # Detection confidence. Range [0, 1].
+ "blurredLikelihood": "A String", # Blurred likelihood.
+ "headwearLikelihood": "A String", # Headwear 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.
+ "x": 3.14, # X coordinate.
+ "y": 3.14, # Y 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].
+ "sorrowLikelihood": "A String", # Sorrow 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].
+ "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.
+ "x": 3.14, # X coordinate.
+ "y": 3.14, # Y 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.
+ },
+ ],
+ },
+ "angerLikelihood": "A String", # Anger likelihood.
+ "landmarks": [ # Detected face landmarks.
+ { # A face-specific landmark (for example, a face feature).
+ "type": "A String", # Face landmark type.
+ "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.
+ "x": 3.14, # X coordinate.
+ "z": 3.14, # Z coordinate (or depth).
+ "y": 3.14, # Y coordinate.
+ },
+ },
+ ],
+ "surpriseLikelihood": "A String", # Surprise likelihood.
+ "landmarkingConfidence": 3.14, # Face landmarking confidence. Range [0, 1].
+ "joyLikelihood": "A String", # Joy likelihood.
+ },
+ ],
+ "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].
+ "importanceFraction": 3.14, # Fraction of importance of this salient region with respect to the original
+ # image.
+ "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.
+ "x": 3.14, # X coordinate.
+ "y": 3.14, # Y 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.
+ },
+ ],
+ },
+ },
+ ],
+ },
+ "labelAnnotations": [ # If present, label detection has completed successfully.
+ { # Set of detected entity features.
+ "locale": "A String", # The language code for the locale in which the entity textual
+ # `description` is expressed.
+ "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.
+ "x": 3.14, # X coordinate.
+ "y": 3.14, # Y 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.
+ },
+ ],
+ },
+ "description": "A String", # Entity textual description, expressed in its `locale` language.
+ "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].
+ "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.
+ "value": "A String", # Value of the property.
+ "uint64Value": "A String", # Value of numeric properties.
+ "name": "A String", # Name of the property.
+ },
+ ],
+ "score": 3.14, # Overall score of the result. 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/).
+ "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].
+ },
+ ],
},
],
"inputConfig": { # The desired input location and metadata. # Information about the file for which this response is generated.
@@ -1313,6 +1312,7 @@
# Currently, this field only works for BatchAnnotateFiles requests. It does
# not work for AsyncBatchAnnotateFiles requests.
},
+ "totalPages": 42, # This field gives the total number of pages in the file.
},
],
}</pre>
@@ -1347,38 +1347,33 @@
# call.
"requests": [ # Required. Individual async file annotation requests for this batch.
{ # An offline file annotation request.
+ "inputConfig": { # The desired input location and metadata. # Required. Information about the input file.
+ "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.
+ },
+ "mimeType": "A String", # The type of the file. Currently only "application/pdf", "image/tiff" and
+ # "image/gif" are supported. Wildcards are not supported.
+ "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.
+ },
+ "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.
+ "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`.
+ "model": "A String", # Model to use for the feature.
+ # Supported values: "builtin/stable" (the default if unset) and
+ # "builtin/latest".
+ },
+ ],
"imageContext": { # Image context and/or feature-specific parameters. # Additional context that may accompany the image(s) in the file.
- "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](https://cloud.google.com/vision/docs/languages).
- "A String",
- ],
- "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.
- },
- "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].
- },
- },
"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
@@ -1390,28 +1385,6 @@
],
},
"productSearchParams": { # Parameters for a product search request. # Parameters for product search.
- "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.
- # 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.
- },
- ],
- },
"productCategories": [ # The list of product categories to search in. Currently, we only consider
# the first category, and either "homegoods-v2", "apparel-v2", "toys-v2",
# "packagedgoods-v1", or "general-v1" should be specified. The legacy
@@ -1429,6 +1402,59 @@
# 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 '='.
+ "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.
+ # 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.
+ "x": 3.14, # X coordinate.
+ "y": 3.14, # Y 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.
+ },
+ ],
+ },
+ },
+ "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](https://cloud.google.com/vision/docs/languages).
+ "A String",
+ ],
+ "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.
+ },
+ "latLongRect": { # Rectangle determined by min and max `LatLng` pairs. # Not used.
+ "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].
+ },
+ "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].
+ },
},
},
"outputConfig": { # The desired output location and metadata. # Required. The desired output location and metadata (e.g. format).
@@ -1468,32 +1494,6 @@
# Currently, batch_size only applies to GcsDestination, with potential future
# support for other output configurations.
},
- "inputConfig": { # The desired input location and metadata. # Required. Information about the input file.
- "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.
- },
- "mimeType": "A String", # The type of the file. Currently only "application/pdf", "image/tiff" and
- # "image/gif" are supported. Wildcards are not supported.
- "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.
- },
- "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.
- "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`.
- "model": "A String", # Model to use for the feature.
- # Supported values: "builtin/stable" (the default if unset) and
- # "builtin/latest".
- },
- ],
},
],
"parent": "A String", # Optional. Target project and location to make a call.