"""Generated message classes for vision version v1. Integrates Google Vision features, including image labeling, face, logo, and landmark detection, optical character recognition (OCR), and detection of explicit content, into applications. """ # NOTE: This file is autogenerated and should not be edited by hand. from __future__ import absolute_import from apitools.base.protorpclite import messages as _messages from apitools.base.py import encoding from apitools.base.py import extra_types package = 'vision' class AddProductToProductSetRequest(_messages.Message): r"""Request message for the `AddProductToProductSet` method. Fields: product: Required. The resource name for the Product to be added to this ProductSet. Format is: `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID` """ product = _messages.StringField(1) class AnnotateFileRequest(_messages.Message): r"""A request to annotate one single file, e.g. a PDF, TIFF or GIF file. Fields: features: Required. Requested features. imageContext: Additional context that may accompany the image(s) in the file. inputConfig: Required. Information about the input file. pages: Pages of the file to perform image annotation. Pages starts from 1, we assume the first page of the file is page 1. At most 5 pages are supported per request. Pages can be negative. Page 1 means the first page. Page 2 means the second page. Page -1 means the last page. Page -2 means the second to the last page. If the file is GIF instead of PDF or TIFF, page refers to GIF frames. If this field is empty, by default the service performs image annotation for the first 5 pages of the file. """ features = _messages.MessageField('Feature', 1, repeated=True) imageContext = _messages.MessageField('ImageContext', 2) inputConfig = _messages.MessageField('InputConfig', 3) pages = _messages.IntegerField(4, repeated=True, variant=_messages.Variant.INT32) class AnnotateFileResponse(_messages.Message): r"""Response to a single file annotation request. A file may contain one or more images, which individually have their own responses. Fields: error: If set, represents the error message for the failed request. The `responses` field will not be set in this case. inputConfig: Information about the file for which this response is generated. responses: Individual responses to images found within the file. This field will be empty if the `error` field is set. totalPages: This field gives the total number of pages in the file. """ error = _messages.MessageField('Status', 1) inputConfig = _messages.MessageField('InputConfig', 2) responses = _messages.MessageField('AnnotateImageResponse', 3, repeated=True) totalPages = _messages.IntegerField(4, variant=_messages.Variant.INT32) class AnnotateImageRequest(_messages.Message): r"""Request for performing Google Cloud Vision API tasks over a user- provided image, with user-requested features, and with context information. Fields: features: Requested features. image: The image to be processed. imageContext: Additional context that may accompany the image. """ features = _messages.MessageField('Feature', 1, repeated=True) image = _messages.MessageField('Image', 2) imageContext = _messages.MessageField('ImageContext', 3) class AnnotateImageResponse(_messages.Message): r"""Response to an image annotation request. Fields: context: If present, contextual information is needed to understand where this image comes from. cropHintsAnnotation: If present, crop hints have completed successfully. error: If set, represents the error message for the operation. Note that filled-in image annotations are guaranteed to be correct, even when `error` is set. faceAnnotations: If present, face detection has completed successfully. fullTextAnnotation: If present, text (OCR) detection or document (OCR) text detection has completed successfully. This annotation provides the structural hierarchy for the OCR detected text. imagePropertiesAnnotation: If present, image properties were extracted successfully. labelAnnotations: If present, label detection has completed successfully. landmarkAnnotations: If present, landmark detection has completed successfully. localizedObjectAnnotations: If present, localized object detection has completed successfully. This will be sorted descending by confidence score. logoAnnotations: If present, logo detection has completed successfully. productSearchResults: If present, product search has completed successfully. safeSearchAnnotation: If present, safe-search annotation has completed successfully. textAnnotations: If present, text (OCR) detection has completed successfully. webDetection: If present, web detection has completed successfully. """ context = _messages.MessageField('ImageAnnotationContext', 1) cropHintsAnnotation = _messages.MessageField('CropHintsAnnotation', 2) error = _messages.MessageField('Status', 3) faceAnnotations = _messages.MessageField('FaceAnnotation', 4, repeated=True) fullTextAnnotation = _messages.MessageField('TextAnnotation', 5) imagePropertiesAnnotation = _messages.MessageField('ImageProperties', 6) labelAnnotations = _messages.MessageField('EntityAnnotation', 7, repeated=True) landmarkAnnotations = _messages.MessageField('EntityAnnotation', 8, repeated=True) localizedObjectAnnotations = _messages.MessageField('LocalizedObjectAnnotation', 9, repeated=True) logoAnnotations = _messages.MessageField('EntityAnnotation', 10, repeated=True) productSearchResults = _messages.MessageField('ProductSearchResults', 11) safeSearchAnnotation = _messages.MessageField('SafeSearchAnnotation', 12) textAnnotations = _messages.MessageField('EntityAnnotation', 13, repeated=True) webDetection = _messages.MessageField('WebDetection', 14) class AsyncAnnotateFileRequest(_messages.Message): r"""An offline file annotation request. Fields: features: Required. Requested features. imageContext: Additional context that may accompany the image(s) in the file. inputConfig: Required. Information about the input file. outputConfig: Required. The desired output location and metadata (e.g. format). """ features = _messages.MessageField('Feature', 1, repeated=True) imageContext = _messages.MessageField('ImageContext', 2) inputConfig = _messages.MessageField('InputConfig', 3) outputConfig = _messages.MessageField('OutputConfig', 4) class AsyncAnnotateFileResponse(_messages.Message): r"""The response for a single offline file annotation request. Fields: outputConfig: The output location and metadata from AsyncAnnotateFileRequest. """ outputConfig = _messages.MessageField('OutputConfig', 1) class AsyncBatchAnnotateFilesRequest(_messages.Message): r"""Multiple async file annotation requests are batched into a single service call. Messages: LabelsValue: Optional. The labels with user-defined metadata for the request. Label keys and values can be no longer than 63 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter. Fields: labels: Optional. The labels with user-defined metadata for the request. Label keys and values can be no longer than 63 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter. parent: Optional. Target project and location to make a call. Format: `projects/{project-id}/locations/{location-id}`. If no parent is specified, a region will be chosen automatically. Supported location- ids: `us`: USA country only, `asia`: East asia areas, like Japan, Taiwan, `eu`: The European Union. Example: `projects/project-A/locations/eu`. requests: Required. Individual async file annotation requests for this batch. """ @encoding.MapUnrecognizedFields('additionalProperties') class LabelsValue(_messages.Message): r"""Optional. The labels with user-defined metadata for the request. Label keys and values can be no longer than 63 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter. Messages: AdditionalProperty: An additional property for a LabelsValue object. Fields: additionalProperties: Additional properties of type LabelsValue """ class AdditionalProperty(_messages.Message): r"""An additional property for a LabelsValue object. Fields: key: Name of the additional property. value: A string attribute. """ key = _messages.StringField(1) value = _messages.StringField(2) additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True) labels = _messages.MessageField('LabelsValue', 1) parent = _messages.StringField(2) requests = _messages.MessageField('AsyncAnnotateFileRequest', 3, repeated=True) class AsyncBatchAnnotateFilesResponse(_messages.Message): r"""Response to an async batch file annotation request. Fields: responses: The list of file annotation responses, one for each request in AsyncBatchAnnotateFilesRequest. """ responses = _messages.MessageField('AsyncAnnotateFileResponse', 1, repeated=True) class AsyncBatchAnnotateImagesRequest(_messages.Message): r"""Request for async image annotation for a list of images. Messages: LabelsValue: Optional. The labels with user-defined metadata for the request. Label keys and values can be no longer than 63 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter. Fields: labels: Optional. The labels with user-defined metadata for the request. Label keys and values can be no longer than 63 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter. outputConfig: Required. The desired output location and metadata (e.g. format). parent: Optional. Target project and location to make a call. Format: `projects/{project-id}/locations/{location-id}`. If no parent is specified, a region will be chosen automatically. Supported location- ids: `us`: USA country only, `asia`: East asia areas, like Japan, Taiwan, `eu`: The European Union. Example: `projects/project-A/locations/eu`. requests: Required. Individual image annotation requests for this batch. """ @encoding.MapUnrecognizedFields('additionalProperties') class LabelsValue(_messages.Message): r"""Optional. The labels with user-defined metadata for the request. Label keys and values can be no longer than 63 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter. Messages: AdditionalProperty: An additional property for a LabelsValue object. Fields: additionalProperties: Additional properties of type LabelsValue """ class AdditionalProperty(_messages.Message): r"""An additional property for a LabelsValue object. Fields: key: Name of the additional property. value: A string attribute. """ key = _messages.StringField(1) value = _messages.StringField(2) additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True) labels = _messages.MessageField('LabelsValue', 1) outputConfig = _messages.MessageField('OutputConfig', 2) parent = _messages.StringField(3) requests = _messages.MessageField('AnnotateImageRequest', 4, repeated=True) class AsyncBatchAnnotateImagesResponse(_messages.Message): r"""Response to an async batch image annotation request. Fields: outputConfig: The output location and metadata from AsyncBatchAnnotateImagesRequest. """ outputConfig = _messages.MessageField('OutputConfig', 1) class BatchAnnotateFilesRequest(_messages.Message): r"""A list of requests to annotate files using the BatchAnnotateFiles API. Messages: LabelsValue: Optional. The labels with user-defined metadata for the request. Label keys and values can be no longer than 63 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter. Fields: labels: Optional. The labels with user-defined metadata for the request. Label keys and values can be no longer than 63 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter. parent: Optional. Target project and location to make a call. Format: `projects/{project-id}/locations/{location-id}`. If no parent is specified, a region will be chosen automatically. Supported location- ids: `us`: USA country only, `asia`: East asia areas, like Japan, Taiwan, `eu`: The European Union. Example: `projects/project-A/locations/eu`. requests: Required. The list of file annotation requests. Right now we support only one AnnotateFileRequest in BatchAnnotateFilesRequest. """ @encoding.MapUnrecognizedFields('additionalProperties') class LabelsValue(_messages.Message): r"""Optional. The labels with user-defined metadata for the request. Label keys and values can be no longer than 63 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter. Messages: AdditionalProperty: An additional property for a LabelsValue object. Fields: additionalProperties: Additional properties of type LabelsValue """ class AdditionalProperty(_messages.Message): r"""An additional property for a LabelsValue object. Fields: key: Name of the additional property. value: A string attribute. """ key = _messages.StringField(1) value = _messages.StringField(2) additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True) labels = _messages.MessageField('LabelsValue', 1) parent = _messages.StringField(2) requests = _messages.MessageField('AnnotateFileRequest', 3, repeated=True) class BatchAnnotateFilesResponse(_messages.Message): r"""A list of file annotation responses. Fields: responses: The list of file annotation responses, each response corresponding to each AnnotateFileRequest in BatchAnnotateFilesRequest. """ responses = _messages.MessageField('AnnotateFileResponse', 1, repeated=True) class BatchAnnotateImagesRequest(_messages.Message): r"""Multiple image annotation requests are batched into a single service call. Messages: LabelsValue: Optional. The labels with user-defined metadata for the request. Label keys and values can be no longer than 63 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter. Fields: labels: Optional. The labels with user-defined metadata for the request. Label keys and values can be no longer than 63 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter. parent: Optional. Target project and location to make a call. Format: `projects/{project-id}/locations/{location-id}`. If no parent is specified, a region will be chosen automatically. Supported location- ids: `us`: USA country only, `asia`: East asia areas, like Japan, Taiwan, `eu`: The European Union. Example: `projects/project-A/locations/eu`. requests: Required. Individual image annotation requests for this batch. """ @encoding.MapUnrecognizedFields('additionalProperties') class LabelsValue(_messages.Message): r"""Optional. The labels with user-defined metadata for the request. Label keys and values can be no longer than 63 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter. Messages: AdditionalProperty: An additional property for a LabelsValue object. Fields: additionalProperties: Additional properties of type LabelsValue """ class AdditionalProperty(_messages.Message): r"""An additional property for a LabelsValue object. Fields: key: Name of the additional property. value: A string attribute. """ key = _messages.StringField(1) value = _messages.StringField(2) additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True) labels = _messages.MessageField('LabelsValue', 1) parent = _messages.StringField(2) requests = _messages.MessageField('AnnotateImageRequest', 3, repeated=True) class BatchAnnotateImagesResponse(_messages.Message): r"""Response to a batch image annotation request. Fields: responses: Individual responses to image annotation requests within the batch. """ responses = _messages.MessageField('AnnotateImageResponse', 1, repeated=True) class BatchOperationMetadata(_messages.Message): r"""Metadata for the batch operations such as the current state. This is included in the `metadata` field of the `Operation` returned by the `GetOperation` call of the `google::longrunning::Operations` service. Enums: StateValueValuesEnum: The current state of the batch operation. Fields: endTime: The time when the batch request is finished and google.longrunning.Operation.done is set to true. state: The current state of the batch operation. submitTime: The time when the batch request was submitted to the server. """ class StateValueValuesEnum(_messages.Enum): r"""The current state of the batch operation. Values: STATE_UNSPECIFIED: Invalid. PROCESSING: Request is actively being processed. SUCCESSFUL: The request is done and at least one item has been successfully processed. FAILED: The request is done and no item has been successfully processed. CANCELLED: The request is done after the longrunning.Operations.CancelOperation has been called by the user. Any records that were processed before the cancel command are output as specified in the request. """ STATE_UNSPECIFIED = 0 PROCESSING = 1 SUCCESSFUL = 2 FAILED = 3 CANCELLED = 4 endTime = _messages.StringField(1) state = _messages.EnumField('StateValueValuesEnum', 2) submitTime = _messages.StringField(3) class Block(_messages.Message): r"""Logical element on the page. Enums: BlockTypeValueValuesEnum: Detected block type (text, image etc) for this block. Fields: blockType: Detected block type (text, image etc) for this block. boundingBox: 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). confidence: 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). property: Additional information detected for the block. """ class BlockTypeValueValuesEnum(_messages.Enum): r"""Detected block type (text, image etc) for this block. Values: UNKNOWN: Unknown block type. TEXT: Regular text block. TABLE: Table block. PICTURE: Image block. RULER: Horizontal/vertical line box. BARCODE: Barcode block. """ UNKNOWN = 0 TEXT = 1 TABLE = 2 PICTURE = 3 RULER = 4 BARCODE = 5 blockType = _messages.EnumField('BlockTypeValueValuesEnum', 1) boundingBox = _messages.MessageField('BoundingPoly', 2) confidence = _messages.FloatField(3, variant=_messages.Variant.FLOAT) paragraphs = _messages.MessageField('Paragraph', 4, repeated=True) property = _messages.MessageField('TextProperty', 5) class BoundingPoly(_messages.Message): r"""A bounding polygon for the detected image annotation. Fields: normalizedVertices: The bounding polygon normalized vertices. vertices: The bounding polygon vertices. """ normalizedVertices = _messages.MessageField('NormalizedVertex', 1, repeated=True) vertices = _messages.MessageField('Vertex', 2, repeated=True) class CancelOperationRequest(_messages.Message): r"""The request message for Operations.CancelOperation.""" class Color(_messages.Message): r"""Represents a color in the RGBA color space. This representation is designed for simplicity of conversion to and 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. This reference page doesn't have information about the absolute color space that should be used to interpret the RGB value-for example, sRGB, Adobe RGB, DCI-P3, and BT.2020. By default, applications should assume the sRGB color space. When color equality needs to be decided, implementations, unless documented otherwise, treat two colors as equal if all their red, green, blue, and alpha values each differ by at most `1e-5`. 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(''); }; // ... Fields: alpha: 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 rendered as a solid color (as if the alpha value had been explicitly given a value of 1.0). blue: The amount of blue in the color as a value in the interval [0, 1]. green: The amount of green in the color as a value in the interval [0, 1]. red: The amount of red in the color as a value in the interval [0, 1]. """ alpha = _messages.FloatField(1, variant=_messages.Variant.FLOAT) blue = _messages.FloatField(2, variant=_messages.Variant.FLOAT) green = _messages.FloatField(3, variant=_messages.Variant.FLOAT) red = _messages.FloatField(4, variant=_messages.Variant.FLOAT) class ColorInfo(_messages.Message): r"""Color information consists of RGB channels, score, and the fraction of the image that the color occupies in the image. Fields: color: RGB components of the color. pixelFraction: The fraction of pixels the color occupies in the image. Value in range [0, 1]. score: Image-specific score for this color. Value in range [0, 1]. """ color = _messages.MessageField('Color', 1) pixelFraction = _messages.FloatField(2, variant=_messages.Variant.FLOAT) score = _messages.FloatField(3, variant=_messages.Variant.FLOAT) class CropHint(_messages.Message): r"""Single crop hint that is used to generate a new crop when serving an image. Fields: boundingPoly: The bounding polygon for the crop region. The coordinates of the bounding box are in the original image's scale. confidence: Confidence of this being a salient region. Range [0, 1]. importanceFraction: Fraction of importance of this salient region with respect to the original image. """ boundingPoly = _messages.MessageField('BoundingPoly', 1) confidence = _messages.FloatField(2, variant=_messages.Variant.FLOAT) importanceFraction = _messages.FloatField(3, variant=_messages.Variant.FLOAT) class CropHintsAnnotation(_messages.Message): r"""Set of crop hints that are used to generate new crops when serving images. Fields: cropHints: Crop hint results. """ cropHints = _messages.MessageField('CropHint', 1, repeated=True) class CropHintsParams(_messages.Message): r"""Parameters for crop hints annotation request. Fields: 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. """ aspectRatios = _messages.FloatField(1, repeated=True, variant=_messages.Variant.FLOAT) class DetectedBreak(_messages.Message): r"""Detected start or end of a structural component. Enums: TypeValueValuesEnum: Detected break type. Fields: isPrefix: True if break prepends the element. type: Detected break type. """ class TypeValueValuesEnum(_messages.Enum): r"""Detected break type. Values: UNKNOWN: Unknown break label type. SPACE: Regular space. SURE_SPACE: Sure space (very wide). EOL_SURE_SPACE: Line-wrapping break. HYPHEN: End-line hyphen that is not present in text; does not co-occur with `SPACE`, `LEADER_SPACE`, or `LINE_BREAK`. LINE_BREAK: Line break that ends a paragraph. """ UNKNOWN = 0 SPACE = 1 SURE_SPACE = 2 EOL_SURE_SPACE = 3 HYPHEN = 4 LINE_BREAK = 5 isPrefix = _messages.BooleanField(1) type = _messages.EnumField('TypeValueValuesEnum', 2) class DetectedLanguage(_messages.Message): r"""Detected language for a structural component. Fields: confidence: Confidence of detected language. Range [0, 1]. languageCode: 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 = _messages.FloatField(1, variant=_messages.Variant.FLOAT) languageCode = _messages.StringField(2) class DominantColorsAnnotation(_messages.Message): r"""Set of dominant colors and their corresponding scores. Fields: colors: RGB color values with their score and pixel fraction. """ colors = _messages.MessageField('ColorInfo', 1, repeated=True) class Empty(_messages.Message): r"""A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } """ class EntityAnnotation(_messages.Message): r"""Set of detected entity features. Fields: boundingPoly: Image region to which this entity belongs. Not produced for `LABEL_DETECTION` features. confidence: **Deprecated. Use `score` instead.** The accuracy of the entity detection in an image. For example, for an image in which the "Eiffel Tower" entity is detected, this field represents the confidence that there is a tower in the query image. Range [0, 1]. description: Entity textual description, expressed in its `locale` language. locale: The language code for the locale in which the entity textual `description` is expressed. 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. mid: Opaque entity ID. Some IDs may be available in [Google Knowledge Graph Search API](https://developers.google.com/knowledge-graph/). properties: Some entities may have optional user-supplied `Property` (name/value) fields, such a score or string that qualifies the entity. score: Overall score of the result. Range [0, 1]. topicality: The relevancy of the ICA (Image Content Annotation) label to the image. For example, the relevancy of "tower" is likely higher to an image containing the detected "Eiffel Tower" than to an image containing a detected distant towering building, even though the confidence that there is a tower in each image may be the same. Range [0, 1]. """ boundingPoly = _messages.MessageField('BoundingPoly', 1) confidence = _messages.FloatField(2, variant=_messages.Variant.FLOAT) description = _messages.StringField(3) locale = _messages.StringField(4) locations = _messages.MessageField('LocationInfo', 5, repeated=True) mid = _messages.StringField(6) properties = _messages.MessageField('Property', 7, repeated=True) score = _messages.FloatField(8, variant=_messages.Variant.FLOAT) topicality = _messages.FloatField(9, variant=_messages.Variant.FLOAT) class FaceAnnotation(_messages.Message): r"""A face annotation object contains the results of face detection. Enums: AngerLikelihoodValueValuesEnum: Anger likelihood. BlurredLikelihoodValueValuesEnum: Blurred likelihood. HeadwearLikelihoodValueValuesEnum: Headwear likelihood. JoyLikelihoodValueValuesEnum: Joy likelihood. SorrowLikelihoodValueValuesEnum: Sorrow likelihood. SurpriseLikelihoodValueValuesEnum: Surprise likelihood. UnderExposedLikelihoodValueValuesEnum: Under-exposed likelihood. Fields: angerLikelihood: Anger likelihood. blurredLikelihood: Blurred likelihood. boundingPoly: 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. detectionConfidence: Detection confidence. Range [0, 1]. fdBoundingPoly: The `fd_bounding_poly` bounding polygon is tighter than the `boundingPoly`, and encloses only the skin part of the face. Typically, it is used to eliminate the face from any image analysis that detects the "amount of skin" visible in an image. It is not based on the landmarker results, only on the initial face detection, hence the fd (face detection) prefix. headwearLikelihood: Headwear likelihood. joyLikelihood: Joy likelihood. landmarkingConfidence: Face landmarking confidence. Range [0, 1]. landmarks: Detected face landmarks. panAngle: 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]. rollAngle: 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: Sorrow likelihood. surpriseLikelihood: Surprise likelihood. tiltAngle: Pitch angle, which indicates the upwards/downwards angle that the face is pointing relative to the image's horizontal plane. Range [-180,180]. underExposedLikelihood: Under-exposed likelihood. """ class AngerLikelihoodValueValuesEnum(_messages.Enum): r"""Anger likelihood. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 class BlurredLikelihoodValueValuesEnum(_messages.Enum): r"""Blurred likelihood. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 class HeadwearLikelihoodValueValuesEnum(_messages.Enum): r"""Headwear likelihood. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 class JoyLikelihoodValueValuesEnum(_messages.Enum): r"""Joy likelihood. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 class SorrowLikelihoodValueValuesEnum(_messages.Enum): r"""Sorrow likelihood. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 class SurpriseLikelihoodValueValuesEnum(_messages.Enum): r"""Surprise likelihood. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 class UnderExposedLikelihoodValueValuesEnum(_messages.Enum): r"""Under-exposed likelihood. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 angerLikelihood = _messages.EnumField('AngerLikelihoodValueValuesEnum', 1) blurredLikelihood = _messages.EnumField('BlurredLikelihoodValueValuesEnum', 2) boundingPoly = _messages.MessageField('BoundingPoly', 3) detectionConfidence = _messages.FloatField(4, variant=_messages.Variant.FLOAT) fdBoundingPoly = _messages.MessageField('BoundingPoly', 5) headwearLikelihood = _messages.EnumField('HeadwearLikelihoodValueValuesEnum', 6) joyLikelihood = _messages.EnumField('JoyLikelihoodValueValuesEnum', 7) landmarkingConfidence = _messages.FloatField(8, variant=_messages.Variant.FLOAT) landmarks = _messages.MessageField('Landmark', 9, repeated=True) panAngle = _messages.FloatField(10, variant=_messages.Variant.FLOAT) rollAngle = _messages.FloatField(11, variant=_messages.Variant.FLOAT) sorrowLikelihood = _messages.EnumField('SorrowLikelihoodValueValuesEnum', 12) surpriseLikelihood = _messages.EnumField('SurpriseLikelihoodValueValuesEnum', 13) tiltAngle = _messages.FloatField(14, variant=_messages.Variant.FLOAT) underExposedLikelihood = _messages.EnumField('UnderExposedLikelihoodValueValuesEnum', 15) class Feature(_messages.Message): r"""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. Enums: TypeValueValuesEnum: The feature type. Fields: maxResults: Maximum number of results of this type. Does not apply to `TEXT_DETECTION`, `DOCUMENT_TEXT_DETECTION`, or `CROP_HINTS`. model: Model to use for the feature. Supported values: "builtin/stable" (the default if unset) and "builtin/latest". `DOCUMENT_TEXT_DETECTION` and `TEXT_DETECTION` also support "builtin/rc" for the latest release candidate. type: The feature type. """ class TypeValueValuesEnum(_messages.Enum): r"""The feature type. Values: TYPE_UNSPECIFIED: Unspecified feature type. FACE_DETECTION: Run face detection. LANDMARK_DETECTION: Run landmark detection. LOGO_DETECTION: Run logo detection. LABEL_DETECTION: Run label detection. TEXT_DETECTION: Run text detection / optical character recognition (OCR). Text detection is optimized for areas of text within a larger image; if the image is a document, use `DOCUMENT_TEXT_DETECTION` instead. DOCUMENT_TEXT_DETECTION: Run dense text document OCR. Takes precedence when both `DOCUMENT_TEXT_DETECTION` and `TEXT_DETECTION` are present. SAFE_SEARCH_DETECTION: Run Safe Search to detect potentially unsafe or undesirable content. IMAGE_PROPERTIES: Compute a set of image properties, such as the image's dominant colors. CROP_HINTS: Run crop hints. WEB_DETECTION: Run web detection. PRODUCT_SEARCH: Run Product Search. OBJECT_LOCALIZATION: Run localizer for object detection. """ TYPE_UNSPECIFIED = 0 FACE_DETECTION = 1 LANDMARK_DETECTION = 2 LOGO_DETECTION = 3 LABEL_DETECTION = 4 TEXT_DETECTION = 5 DOCUMENT_TEXT_DETECTION = 6 SAFE_SEARCH_DETECTION = 7 IMAGE_PROPERTIES = 8 CROP_HINTS = 9 WEB_DETECTION = 10 PRODUCT_SEARCH = 11 OBJECT_LOCALIZATION = 12 maxResults = _messages.IntegerField(1, variant=_messages.Variant.INT32) model = _messages.StringField(2) type = _messages.EnumField('TypeValueValuesEnum', 3) class GcsDestination(_messages.Message): r"""The Google Cloud Storage location where the output will be written to. Fields: uri: Google Cloud Storage URI prefix where the results will be stored. Results will be in JSON format and preceded by its corresponding input URI prefix. This field can either represent a gcs file prefix or gcs directory. In either case, the uri should be unique because in order to get all of the output files, you will need to do a wildcard gcs search on the uri prefix you provide. Examples: * File Prefix: gs://bucket- name/here/filenameprefix The output files will be created in gs://bucket-name/here/ and the names of the output files will begin with "filenameprefix". * Directory Prefix: gs://bucket-name/some/location/ The output files will be created in gs://bucket-name/some/location/ and the names of the output files could be anything because there was no filename prefix specified. If multiple outputs, each response is still AnnotateFileResponse, each of which contains some subset of the full list of AnnotateImageResponse. Multiple outputs can happen if, for example, the output JSON is too large and overflows into multiple sharded files. """ uri = _messages.StringField(1) class GcsSource(_messages.Message): r"""The Google Cloud Storage location where the input will be read from. Fields: uri: Google Cloud Storage URI for the input file. This must only be a Google Cloud Storage object. Wildcards are not currently supported. """ uri = _messages.StringField(1) class GoogleCloudVisionV1p1beta1AnnotateFileResponse(_messages.Message): r"""Response to a single file annotation request. A file may contain one or more images, which individually have their own responses. Fields: error: If set, represents the error message for the failed request. The `responses` field will not be set in this case. inputConfig: Information about the file for which this response is generated. responses: Individual responses to images found within the file. This field will be empty if the `error` field is set. totalPages: This field gives the total number of pages in the file. """ error = _messages.MessageField('Status', 1) inputConfig = _messages.MessageField('GoogleCloudVisionV1p1beta1InputConfig', 2) responses = _messages.MessageField('GoogleCloudVisionV1p1beta1AnnotateImageResponse', 3, repeated=True) totalPages = _messages.IntegerField(4, variant=_messages.Variant.INT32) class GoogleCloudVisionV1p1beta1AnnotateImageResponse(_messages.Message): r"""Response to an image annotation request. Fields: context: If present, contextual information is needed to understand where this image comes from. cropHintsAnnotation: If present, crop hints have completed successfully. error: If set, represents the error message for the operation. Note that filled-in image annotations are guaranteed to be correct, even when `error` is set. faceAnnotations: If present, face detection has completed successfully. fullTextAnnotation: If present, text (OCR) detection or document (OCR) text detection has completed successfully. This annotation provides the structural hierarchy for the OCR detected text. imagePropertiesAnnotation: If present, image properties were extracted successfully. labelAnnotations: If present, label detection has completed successfully. landmarkAnnotations: If present, landmark detection has completed successfully. localizedObjectAnnotations: If present, localized object detection has completed successfully. This will be sorted descending by confidence score. logoAnnotations: If present, logo detection has completed successfully. productSearchResults: If present, product search has completed successfully. safeSearchAnnotation: If present, safe-search annotation has completed successfully. textAnnotations: If present, text (OCR) detection has completed successfully. webDetection: If present, web detection has completed successfully. """ context = _messages.MessageField('GoogleCloudVisionV1p1beta1ImageAnnotationContext', 1) cropHintsAnnotation = _messages.MessageField('GoogleCloudVisionV1p1beta1CropHintsAnnotation', 2) error = _messages.MessageField('Status', 3) faceAnnotations = _messages.MessageField('GoogleCloudVisionV1p1beta1FaceAnnotation', 4, repeated=True) fullTextAnnotation = _messages.MessageField('GoogleCloudVisionV1p1beta1TextAnnotation', 5) imagePropertiesAnnotation = _messages.MessageField('GoogleCloudVisionV1p1beta1ImageProperties', 6) labelAnnotations = _messages.MessageField('GoogleCloudVisionV1p1beta1EntityAnnotation', 7, repeated=True) landmarkAnnotations = _messages.MessageField('GoogleCloudVisionV1p1beta1EntityAnnotation', 8, repeated=True) localizedObjectAnnotations = _messages.MessageField('GoogleCloudVisionV1p1beta1LocalizedObjectAnnotation', 9, repeated=True) logoAnnotations = _messages.MessageField('GoogleCloudVisionV1p1beta1EntityAnnotation', 10, repeated=True) productSearchResults = _messages.MessageField('GoogleCloudVisionV1p1beta1ProductSearchResults', 11) safeSearchAnnotation = _messages.MessageField('GoogleCloudVisionV1p1beta1SafeSearchAnnotation', 12) textAnnotations = _messages.MessageField('GoogleCloudVisionV1p1beta1EntityAnnotation', 13, repeated=True) webDetection = _messages.MessageField('GoogleCloudVisionV1p1beta1WebDetection', 14) class GoogleCloudVisionV1p1beta1AsyncAnnotateFileResponse(_messages.Message): r"""The response for a single offline file annotation request. Fields: outputConfig: The output location and metadata from AsyncAnnotateFileRequest. """ outputConfig = _messages.MessageField('GoogleCloudVisionV1p1beta1OutputConfig', 1) class GoogleCloudVisionV1p1beta1AsyncBatchAnnotateFilesResponse(_messages.Message): r"""Response to an async batch file annotation request. Fields: responses: The list of file annotation responses, one for each request in AsyncBatchAnnotateFilesRequest. """ responses = _messages.MessageField('GoogleCloudVisionV1p1beta1AsyncAnnotateFileResponse', 1, repeated=True) class GoogleCloudVisionV1p1beta1Block(_messages.Message): r"""Logical element on the page. Enums: BlockTypeValueValuesEnum: Detected block type (text, image etc) for this block. Fields: blockType: Detected block type (text, image etc) for this block. boundingBox: 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). confidence: 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). property: Additional information detected for the block. """ class BlockTypeValueValuesEnum(_messages.Enum): r"""Detected block type (text, image etc) for this block. Values: UNKNOWN: Unknown block type. TEXT: Regular text block. TABLE: Table block. PICTURE: Image block. RULER: Horizontal/vertical line box. BARCODE: Barcode block. """ UNKNOWN = 0 TEXT = 1 TABLE = 2 PICTURE = 3 RULER = 4 BARCODE = 5 blockType = _messages.EnumField('BlockTypeValueValuesEnum', 1) boundingBox = _messages.MessageField('GoogleCloudVisionV1p1beta1BoundingPoly', 2) confidence = _messages.FloatField(3, variant=_messages.Variant.FLOAT) paragraphs = _messages.MessageField('GoogleCloudVisionV1p1beta1Paragraph', 4, repeated=True) property = _messages.MessageField('GoogleCloudVisionV1p1beta1TextAnnotationTextProperty', 5) class GoogleCloudVisionV1p1beta1BoundingPoly(_messages.Message): r"""A bounding polygon for the detected image annotation. Fields: normalizedVertices: The bounding polygon normalized vertices. vertices: The bounding polygon vertices. """ normalizedVertices = _messages.MessageField('GoogleCloudVisionV1p1beta1NormalizedVertex', 1, repeated=True) vertices = _messages.MessageField('GoogleCloudVisionV1p1beta1Vertex', 2, repeated=True) class GoogleCloudVisionV1p1beta1ColorInfo(_messages.Message): r"""Color information consists of RGB channels, score, and the fraction of the image that the color occupies in the image. Fields: color: RGB components of the color. pixelFraction: The fraction of pixels the color occupies in the image. Value in range [0, 1]. score: Image-specific score for this color. Value in range [0, 1]. """ color = _messages.MessageField('Color', 1) pixelFraction = _messages.FloatField(2, variant=_messages.Variant.FLOAT) score = _messages.FloatField(3, variant=_messages.Variant.FLOAT) class GoogleCloudVisionV1p1beta1CropHint(_messages.Message): r"""Single crop hint that is used to generate a new crop when serving an image. Fields: boundingPoly: The bounding polygon for the crop region. The coordinates of the bounding box are in the original image's scale. confidence: Confidence of this being a salient region. Range [0, 1]. importanceFraction: Fraction of importance of this salient region with respect to the original image. """ boundingPoly = _messages.MessageField('GoogleCloudVisionV1p1beta1BoundingPoly', 1) confidence = _messages.FloatField(2, variant=_messages.Variant.FLOAT) importanceFraction = _messages.FloatField(3, variant=_messages.Variant.FLOAT) class GoogleCloudVisionV1p1beta1CropHintsAnnotation(_messages.Message): r"""Set of crop hints that are used to generate new crops when serving images. Fields: cropHints: Crop hint results. """ cropHints = _messages.MessageField('GoogleCloudVisionV1p1beta1CropHint', 1, repeated=True) class GoogleCloudVisionV1p1beta1DominantColorsAnnotation(_messages.Message): r"""Set of dominant colors and their corresponding scores. Fields: colors: RGB color values with their score and pixel fraction. """ colors = _messages.MessageField('GoogleCloudVisionV1p1beta1ColorInfo', 1, repeated=True) class GoogleCloudVisionV1p1beta1EntityAnnotation(_messages.Message): r"""Set of detected entity features. Fields: boundingPoly: Image region to which this entity belongs. Not produced for `LABEL_DETECTION` features. confidence: **Deprecated. Use `score` instead.** The accuracy of the entity detection in an image. For example, for an image in which the "Eiffel Tower" entity is detected, this field represents the confidence that there is a tower in the query image. Range [0, 1]. description: Entity textual description, expressed in its `locale` language. locale: The language code for the locale in which the entity textual `description` is expressed. 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. mid: Opaque entity ID. Some IDs may be available in [Google Knowledge Graph Search API](https://developers.google.com/knowledge-graph/). properties: Some entities may have optional user-supplied `Property` (name/value) fields, such a score or string that qualifies the entity. score: Overall score of the result. Range [0, 1]. topicality: The relevancy of the ICA (Image Content Annotation) label to the image. For example, the relevancy of "tower" is likely higher to an image containing the detected "Eiffel Tower" than to an image containing a detected distant towering building, even though the confidence that there is a tower in each image may be the same. Range [0, 1]. """ boundingPoly = _messages.MessageField('GoogleCloudVisionV1p1beta1BoundingPoly', 1) confidence = _messages.FloatField(2, variant=_messages.Variant.FLOAT) description = _messages.StringField(3) locale = _messages.StringField(4) locations = _messages.MessageField('GoogleCloudVisionV1p1beta1LocationInfo', 5, repeated=True) mid = _messages.StringField(6) properties = _messages.MessageField('GoogleCloudVisionV1p1beta1Property', 7, repeated=True) score = _messages.FloatField(8, variant=_messages.Variant.FLOAT) topicality = _messages.FloatField(9, variant=_messages.Variant.FLOAT) class GoogleCloudVisionV1p1beta1FaceAnnotation(_messages.Message): r"""A face annotation object contains the results of face detection. Enums: AngerLikelihoodValueValuesEnum: Anger likelihood. BlurredLikelihoodValueValuesEnum: Blurred likelihood. HeadwearLikelihoodValueValuesEnum: Headwear likelihood. JoyLikelihoodValueValuesEnum: Joy likelihood. SorrowLikelihoodValueValuesEnum: Sorrow likelihood. SurpriseLikelihoodValueValuesEnum: Surprise likelihood. UnderExposedLikelihoodValueValuesEnum: Under-exposed likelihood. Fields: angerLikelihood: Anger likelihood. blurredLikelihood: Blurred likelihood. boundingPoly: 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. detectionConfidence: Detection confidence. Range [0, 1]. fdBoundingPoly: The `fd_bounding_poly` bounding polygon is tighter than the `boundingPoly`, and encloses only the skin part of the face. Typically, it is used to eliminate the face from any image analysis that detects the "amount of skin" visible in an image. It is not based on the landmarker results, only on the initial face detection, hence the fd (face detection) prefix. headwearLikelihood: Headwear likelihood. joyLikelihood: Joy likelihood. landmarkingConfidence: Face landmarking confidence. Range [0, 1]. landmarks: Detected face landmarks. panAngle: 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]. rollAngle: 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: Sorrow likelihood. surpriseLikelihood: Surprise likelihood. tiltAngle: Pitch angle, which indicates the upwards/downwards angle that the face is pointing relative to the image's horizontal plane. Range [-180,180]. underExposedLikelihood: Under-exposed likelihood. """ class AngerLikelihoodValueValuesEnum(_messages.Enum): r"""Anger likelihood. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 class BlurredLikelihoodValueValuesEnum(_messages.Enum): r"""Blurred likelihood. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 class HeadwearLikelihoodValueValuesEnum(_messages.Enum): r"""Headwear likelihood. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 class JoyLikelihoodValueValuesEnum(_messages.Enum): r"""Joy likelihood. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 class SorrowLikelihoodValueValuesEnum(_messages.Enum): r"""Sorrow likelihood. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 class SurpriseLikelihoodValueValuesEnum(_messages.Enum): r"""Surprise likelihood. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 class UnderExposedLikelihoodValueValuesEnum(_messages.Enum): r"""Under-exposed likelihood. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 angerLikelihood = _messages.EnumField('AngerLikelihoodValueValuesEnum', 1) blurredLikelihood = _messages.EnumField('BlurredLikelihoodValueValuesEnum', 2) boundingPoly = _messages.MessageField('GoogleCloudVisionV1p1beta1BoundingPoly', 3) detectionConfidence = _messages.FloatField(4, variant=_messages.Variant.FLOAT) fdBoundingPoly = _messages.MessageField('GoogleCloudVisionV1p1beta1BoundingPoly', 5) headwearLikelihood = _messages.EnumField('HeadwearLikelihoodValueValuesEnum', 6) joyLikelihood = _messages.EnumField('JoyLikelihoodValueValuesEnum', 7) landmarkingConfidence = _messages.FloatField(8, variant=_messages.Variant.FLOAT) landmarks = _messages.MessageField('GoogleCloudVisionV1p1beta1FaceAnnotationLandmark', 9, repeated=True) panAngle = _messages.FloatField(10, variant=_messages.Variant.FLOAT) rollAngle = _messages.FloatField(11, variant=_messages.Variant.FLOAT) sorrowLikelihood = _messages.EnumField('SorrowLikelihoodValueValuesEnum', 12) surpriseLikelihood = _messages.EnumField('SurpriseLikelihoodValueValuesEnum', 13) tiltAngle = _messages.FloatField(14, variant=_messages.Variant.FLOAT) underExposedLikelihood = _messages.EnumField('UnderExposedLikelihoodValueValuesEnum', 15) class GoogleCloudVisionV1p1beta1FaceAnnotationLandmark(_messages.Message): r"""A face-specific landmark (for example, a face feature). Landmark positions may fall outside the bounds of the image if the face is near one or more edges of the image. Therefore it is NOT guaranteed that `0 <= x < width` or `0 <= y < height`. Enums: TypeValueValuesEnum: Face landmark type. Fields: position: Face landmark position. type: Face landmark type. """ class TypeValueValuesEnum(_messages.Enum): r"""Face landmark type. Values: UNKNOWN_LANDMARK: Unknown face landmark detected. Should not be filled. LEFT_EYE: Left eye. RIGHT_EYE: Right eye. LEFT_OF_LEFT_EYEBROW: Left of left eyebrow. RIGHT_OF_LEFT_EYEBROW: Right of left eyebrow. LEFT_OF_RIGHT_EYEBROW: Left of right eyebrow. RIGHT_OF_RIGHT_EYEBROW: Right of right eyebrow. MIDPOINT_BETWEEN_EYES: Midpoint between eyes. NOSE_TIP: Nose tip. UPPER_LIP: Upper lip. LOWER_LIP: Lower lip. MOUTH_LEFT: Mouth left. MOUTH_RIGHT: Mouth right. MOUTH_CENTER: Mouth center. NOSE_BOTTOM_RIGHT: Nose, bottom right. NOSE_BOTTOM_LEFT: Nose, bottom left. NOSE_BOTTOM_CENTER: Nose, bottom center. LEFT_EYE_TOP_BOUNDARY: Left eye, top boundary. LEFT_EYE_RIGHT_CORNER: Left eye, right corner. LEFT_EYE_BOTTOM_BOUNDARY: Left eye, bottom boundary. LEFT_EYE_LEFT_CORNER: Left eye, left corner. RIGHT_EYE_TOP_BOUNDARY: Right eye, top boundary. RIGHT_EYE_RIGHT_CORNER: Right eye, right corner. RIGHT_EYE_BOTTOM_BOUNDARY: Right eye, bottom boundary. RIGHT_EYE_LEFT_CORNER: Right eye, left corner. LEFT_EYEBROW_UPPER_MIDPOINT: Left eyebrow, upper midpoint. RIGHT_EYEBROW_UPPER_MIDPOINT: Right eyebrow, upper midpoint. LEFT_EAR_TRAGION: Left ear tragion. RIGHT_EAR_TRAGION: Right ear tragion. LEFT_EYE_PUPIL: Left eye pupil. RIGHT_EYE_PUPIL: Right eye pupil. FOREHEAD_GLABELLA: Forehead glabella. CHIN_GNATHION: Chin gnathion. CHIN_LEFT_GONION: Chin left gonion. CHIN_RIGHT_GONION: Chin right gonion. LEFT_CHEEK_CENTER: Left cheek center. RIGHT_CHEEK_CENTER: Right cheek center. """ UNKNOWN_LANDMARK = 0 LEFT_EYE = 1 RIGHT_EYE = 2 LEFT_OF_LEFT_EYEBROW = 3 RIGHT_OF_LEFT_EYEBROW = 4 LEFT_OF_RIGHT_EYEBROW = 5 RIGHT_OF_RIGHT_EYEBROW = 6 MIDPOINT_BETWEEN_EYES = 7 NOSE_TIP = 8 UPPER_LIP = 9 LOWER_LIP = 10 MOUTH_LEFT = 11 MOUTH_RIGHT = 12 MOUTH_CENTER = 13 NOSE_BOTTOM_RIGHT = 14 NOSE_BOTTOM_LEFT = 15 NOSE_BOTTOM_CENTER = 16 LEFT_EYE_TOP_BOUNDARY = 17 LEFT_EYE_RIGHT_CORNER = 18 LEFT_EYE_BOTTOM_BOUNDARY = 19 LEFT_EYE_LEFT_CORNER = 20 RIGHT_EYE_TOP_BOUNDARY = 21 RIGHT_EYE_RIGHT_CORNER = 22 RIGHT_EYE_BOTTOM_BOUNDARY = 23 RIGHT_EYE_LEFT_CORNER = 24 LEFT_EYEBROW_UPPER_MIDPOINT = 25 RIGHT_EYEBROW_UPPER_MIDPOINT = 26 LEFT_EAR_TRAGION = 27 RIGHT_EAR_TRAGION = 28 LEFT_EYE_PUPIL = 29 RIGHT_EYE_PUPIL = 30 FOREHEAD_GLABELLA = 31 CHIN_GNATHION = 32 CHIN_LEFT_GONION = 33 CHIN_RIGHT_GONION = 34 LEFT_CHEEK_CENTER = 35 RIGHT_CHEEK_CENTER = 36 position = _messages.MessageField('GoogleCloudVisionV1p1beta1Position', 1) type = _messages.EnumField('TypeValueValuesEnum', 2) class GoogleCloudVisionV1p1beta1GcsDestination(_messages.Message): r"""The Google Cloud Storage location where the output will be written to. Fields: uri: Google Cloud Storage URI prefix where the results will be stored. Results will be in JSON format and preceded by its corresponding input URI prefix. This field can either represent a gcs file prefix or gcs directory. In either case, the uri should be unique because in order to get all of the output files, you will need to do a wildcard gcs search on the uri prefix you provide. Examples: * File Prefix: gs://bucket- name/here/filenameprefix The output files will be created in gs://bucket-name/here/ and the names of the output files will begin with "filenameprefix". * Directory Prefix: gs://bucket-name/some/location/ The output files will be created in gs://bucket-name/some/location/ and the names of the output files could be anything because there was no filename prefix specified. If multiple outputs, each response is still AnnotateFileResponse, each of which contains some subset of the full list of AnnotateImageResponse. Multiple outputs can happen if, for example, the output JSON is too large and overflows into multiple sharded files. """ uri = _messages.StringField(1) class GoogleCloudVisionV1p1beta1GcsSource(_messages.Message): r"""The Google Cloud Storage location where the input will be read from. Fields: uri: Google Cloud Storage URI for the input file. This must only be a Google Cloud Storage object. Wildcards are not currently supported. """ uri = _messages.StringField(1) class GoogleCloudVisionV1p1beta1ImageAnnotationContext(_messages.Message): r"""If an image was produced from a file (e.g. a PDF), this message gives information about the source of that image. Fields: pageNumber: If the file was a PDF or TIFF, this field gives the page number within the file used to produce the image. uri: The URI of the file used to produce the image. """ pageNumber = _messages.IntegerField(1, variant=_messages.Variant.INT32) uri = _messages.StringField(2) class GoogleCloudVisionV1p1beta1ImageProperties(_messages.Message): r"""Stores image properties, such as dominant colors. Fields: dominantColors: If present, dominant colors completed successfully. """ dominantColors = _messages.MessageField('GoogleCloudVisionV1p1beta1DominantColorsAnnotation', 1) class GoogleCloudVisionV1p1beta1InputConfig(_messages.Message): r"""The desired input location and metadata. Fields: content: File content, represented as a stream of bytes. Note: As with all `bytes` fields, protobuffers use a pure binary representation, whereas JSON representations use base64. Currently, this field only works for BatchAnnotateFiles requests. It does not work for AsyncBatchAnnotateFiles requests. gcsSource: The Google Cloud Storage location to read the input from. mimeType: The type of the file. Currently only "application/pdf", "image/tiff" and "image/gif" are supported. Wildcards are not supported. """ content = _messages.BytesField(1) gcsSource = _messages.MessageField('GoogleCloudVisionV1p1beta1GcsSource', 2) mimeType = _messages.StringField(3) class GoogleCloudVisionV1p1beta1LocalizedObjectAnnotation(_messages.Message): r"""Set of detected objects with bounding boxes. Fields: boundingPoly: Image region to which this object belongs. This must be populated. languageCode: 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: Object ID that should align with EntityAnnotation mid. name: Object name, expressed in its `language_code` language. score: Score of the result. Range [0, 1]. """ boundingPoly = _messages.MessageField('GoogleCloudVisionV1p1beta1BoundingPoly', 1) languageCode = _messages.StringField(2) mid = _messages.StringField(3) name = _messages.StringField(4) score = _messages.FloatField(5, variant=_messages.Variant.FLOAT) class GoogleCloudVisionV1p1beta1LocationInfo(_messages.Message): r"""Detected entity location information. Fields: latLng: lat/long location coordinates. """ latLng = _messages.MessageField('LatLng', 1) class GoogleCloudVisionV1p1beta1NormalizedVertex(_messages.Message): r"""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. Fields: x: X coordinate. y: Y coordinate. """ x = _messages.FloatField(1, variant=_messages.Variant.FLOAT) y = _messages.FloatField(2, variant=_messages.Variant.FLOAT) class GoogleCloudVisionV1p1beta1OperationMetadata(_messages.Message): r"""Contains metadata for the BatchAnnotateImages operation. Enums: StateValueValuesEnum: Current state of the batch operation. Fields: createTime: The time when the batch request was received. state: Current state of the batch operation. updateTime: The time when the operation result was last updated. """ class StateValueValuesEnum(_messages.Enum): r"""Current state of the batch operation. Values: STATE_UNSPECIFIED: Invalid. CREATED: Request is received. RUNNING: Request is actively being processed. DONE: The batch processing is done. CANCELLED: The batch processing was cancelled. """ STATE_UNSPECIFIED = 0 CREATED = 1 RUNNING = 2 DONE = 3 CANCELLED = 4 createTime = _messages.StringField(1) state = _messages.EnumField('StateValueValuesEnum', 2) updateTime = _messages.StringField(3) class GoogleCloudVisionV1p1beta1OutputConfig(_messages.Message): r"""The desired output location and metadata. Fields: batchSize: 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 to write the output(s) to. """ batchSize = _messages.IntegerField(1, variant=_messages.Variant.INT32) gcsDestination = _messages.MessageField('GoogleCloudVisionV1p1beta1GcsDestination', 2) class GoogleCloudVisionV1p1beta1Page(_messages.Message): r"""Detected page from OCR. Fields: blocks: List of blocks of text, images etc on this page. confidence: Confidence of the OCR results on the page. Range [0, 1]. height: Page height. For PDFs the unit is points. For images (including TIFFs) the unit is pixels. property: Additional information detected on the page. width: Page width. For PDFs the unit is points. For images (including TIFFs) the unit is pixels. """ blocks = _messages.MessageField('GoogleCloudVisionV1p1beta1Block', 1, repeated=True) confidence = _messages.FloatField(2, variant=_messages.Variant.FLOAT) height = _messages.IntegerField(3, variant=_messages.Variant.INT32) property = _messages.MessageField('GoogleCloudVisionV1p1beta1TextAnnotationTextProperty', 4) width = _messages.IntegerField(5, variant=_messages.Variant.INT32) class GoogleCloudVisionV1p1beta1Paragraph(_messages.Message): r"""Structural unit of text representing a number of words in certain order. Fields: boundingBox: 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). confidence: Confidence of the OCR results for the paragraph. Range [0, 1]. property: Additional information detected for the paragraph. words: List of all words in this paragraph. """ boundingBox = _messages.MessageField('GoogleCloudVisionV1p1beta1BoundingPoly', 1) confidence = _messages.FloatField(2, variant=_messages.Variant.FLOAT) property = _messages.MessageField('GoogleCloudVisionV1p1beta1TextAnnotationTextProperty', 3) words = _messages.MessageField('GoogleCloudVisionV1p1beta1Word', 4, repeated=True) class GoogleCloudVisionV1p1beta1Position(_messages.Message): r"""A 3D position in the image, used primarily for Face detection landmarks. A valid Position must have both x and y coordinates. The position coordinates are in the same scale as the original image. Fields: x: X coordinate. y: Y coordinate. z: Z coordinate (or depth). """ x = _messages.FloatField(1, variant=_messages.Variant.FLOAT) y = _messages.FloatField(2, variant=_messages.Variant.FLOAT) z = _messages.FloatField(3, variant=_messages.Variant.FLOAT) class GoogleCloudVisionV1p1beta1Product(_messages.Message): r"""A Product contains ReferenceImages. Fields: description: User-provided metadata to be stored with this product. Must be at most 4096 characters long. displayName: The user-provided name for this Product. Must not be empty. Must be at most 4096 characters long. name: The resource name of the product. Format is: `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID`. This field is ignored when creating a product. productCategory: Immutable. The category for the product identified by the reference image. This should be one of "homegoods-v2", "apparel-v2", "toys-v2", "packagedgoods-v1" or "general-v1". 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. """ description = _messages.StringField(1) displayName = _messages.StringField(2) name = _messages.StringField(3) productCategory = _messages.StringField(4) productLabels = _messages.MessageField('GoogleCloudVisionV1p1beta1ProductKeyValue', 5, repeated=True) class GoogleCloudVisionV1p1beta1ProductKeyValue(_messages.Message): r"""A product label represented as a key-value pair. Fields: key: The key of the label attached to the product. Cannot be empty and cannot exceed 128 bytes. value: The value of the label attached to the product. Cannot be empty and cannot exceed 128 bytes. """ key = _messages.StringField(1) value = _messages.StringField(2) class GoogleCloudVisionV1p1beta1ProductSearchResults(_messages.Message): r"""Results for a product search request. Fields: indexTime: 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. results: List of results, one for each product match. """ indexTime = _messages.StringField(1) productGroupedResults = _messages.MessageField('GoogleCloudVisionV1p1beta1ProductSearchResultsGroupedResult', 2, repeated=True) results = _messages.MessageField('GoogleCloudVisionV1p1beta1ProductSearchResultsResult', 3, repeated=True) class GoogleCloudVisionV1p1beta1ProductSearchResultsGroupedResult(_messages.Message): r"""Information about the products similar to a single product in a query image. Fields: boundingPoly: The bounding polygon around the product detected in the query image. objectAnnotations: List of generic predictions for the object in the bounding box. results: List of results, one for each product match. """ boundingPoly = _messages.MessageField('GoogleCloudVisionV1p1beta1BoundingPoly', 1) objectAnnotations = _messages.MessageField('GoogleCloudVisionV1p1beta1ProductSearchResultsObjectAnnotation', 2, repeated=True) results = _messages.MessageField('GoogleCloudVisionV1p1beta1ProductSearchResultsResult', 3, repeated=True) class GoogleCloudVisionV1p1beta1ProductSearchResultsObjectAnnotation(_messages.Message): r"""Prediction for what the object in the bounding box is. Fields: languageCode: 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: Object ID that should align with EntityAnnotation mid. name: Object name, expressed in its `language_code` language. score: Score of the result. Range [0, 1]. """ languageCode = _messages.StringField(1) mid = _messages.StringField(2) name = _messages.StringField(3) score = _messages.FloatField(4, variant=_messages.Variant.FLOAT) class GoogleCloudVisionV1p1beta1ProductSearchResultsResult(_messages.Message): r"""Information about a product. Fields: image: The resource name of the image from the product that is the closest match to the query. product: The Product. score: A confidence level on the match, ranging from 0 (no confidence) to 1 (full confidence). """ image = _messages.StringField(1) product = _messages.MessageField('GoogleCloudVisionV1p1beta1Product', 2) score = _messages.FloatField(3, variant=_messages.Variant.FLOAT) class GoogleCloudVisionV1p1beta1Property(_messages.Message): r"""A `Property` consists of a user-supplied name/value pair. Fields: name: Name of the property. uint64Value: Value of numeric properties. value: Value of the property. """ name = _messages.StringField(1) uint64Value = _messages.IntegerField(2, variant=_messages.Variant.UINT64) value = _messages.StringField(3) class GoogleCloudVisionV1p1beta1SafeSearchAnnotation(_messages.Message): r"""Set of features pertaining to the image, computed by computer vision methods over safe-search verticals (for example, adult, spoof, medical, violence). Enums: AdultValueValuesEnum: Represents the adult content likelihood for the image. Adult content may contain elements such as nudity, pornographic images or cartoons, or sexual activities. MedicalValueValuesEnum: Likelihood that this is a medical image. RacyValueValuesEnum: 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. SpoofValueValuesEnum: Spoof likelihood. The likelihood that an modification was made to the image's canonical version to make it appear funny or offensive. ViolenceValueValuesEnum: Likelihood that this image contains violent content. Violent content may include death, serious harm, or injury to individuals or groups of individuals. Fields: adult: Represents the adult content likelihood for the image. Adult content may contain elements such as nudity, pornographic images or cartoons, or sexual activities. medical: Likelihood that this is a medical image. racy: Likelihood that the request image contains racy content. Racy content may include (but is not limited to) skimpy or sheer clothing, strategically covered nudity, lewd or provocative poses, or close-ups of sensitive body areas. spoof: Spoof likelihood. The likelihood that an modification was made to the image's canonical version to make it appear funny or offensive. violence: Likelihood that this image contains violent content. Violent content may include death, serious harm, or injury to individuals or groups of individuals. """ class AdultValueValuesEnum(_messages.Enum): r"""Represents the adult content likelihood for the image. Adult content may contain elements such as nudity, pornographic images or cartoons, or sexual activities. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 class MedicalValueValuesEnum(_messages.Enum): r"""Likelihood that this is a medical image. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 class RacyValueValuesEnum(_messages.Enum): r"""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. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 class SpoofValueValuesEnum(_messages.Enum): r"""Spoof likelihood. The likelihood that an modification was made to the image's canonical version to make it appear funny or offensive. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 class ViolenceValueValuesEnum(_messages.Enum): r"""Likelihood that this image contains violent content. Violent content may include death, serious harm, or injury to individuals or groups of individuals. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 adult = _messages.EnumField('AdultValueValuesEnum', 1) medical = _messages.EnumField('MedicalValueValuesEnum', 2) racy = _messages.EnumField('RacyValueValuesEnum', 3) spoof = _messages.EnumField('SpoofValueValuesEnum', 4) violence = _messages.EnumField('ViolenceValueValuesEnum', 5) class GoogleCloudVisionV1p1beta1Symbol(_messages.Message): r"""A single symbol representation. Fields: boundingBox: 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 vertex order will still be (0, 1, 2, 3). confidence: Confidence of the OCR results for the symbol. Range [0, 1]. property: Additional information detected for the symbol. text: The actual UTF-8 representation of the symbol. """ boundingBox = _messages.MessageField('GoogleCloudVisionV1p1beta1BoundingPoly', 1) confidence = _messages.FloatField(2, variant=_messages.Variant.FLOAT) property = _messages.MessageField('GoogleCloudVisionV1p1beta1TextAnnotationTextProperty', 3) text = _messages.StringField(4) class GoogleCloudVisionV1p1beta1TextAnnotation(_messages.Message): r"""TextAnnotation contains a structured representation of OCR extracted text. The hierarchy of an OCR extracted text structure is like this: TextAnnotation -> Page -> Block -> Paragraph -> Word -> Symbol Each structural component, starting from Page, may further have their own properties. Properties describe detected languages, breaks etc.. Please refer to the TextAnnotation.TextProperty message definition below for more detail. Fields: pages: List of pages detected by OCR. text: UTF-8 text detected on the pages. """ pages = _messages.MessageField('GoogleCloudVisionV1p1beta1Page', 1, repeated=True) text = _messages.StringField(2) class GoogleCloudVisionV1p1beta1TextAnnotationDetectedBreak(_messages.Message): r"""Detected start or end of a structural component. Enums: TypeValueValuesEnum: Detected break type. Fields: isPrefix: True if break prepends the element. type: Detected break type. """ class TypeValueValuesEnum(_messages.Enum): r"""Detected break type. Values: UNKNOWN: Unknown break label type. SPACE: Regular space. SURE_SPACE: Sure space (very wide). EOL_SURE_SPACE: Line-wrapping break. HYPHEN: End-line hyphen that is not present in text; does not co-occur with `SPACE`, `LEADER_SPACE`, or `LINE_BREAK`. LINE_BREAK: Line break that ends a paragraph. """ UNKNOWN = 0 SPACE = 1 SURE_SPACE = 2 EOL_SURE_SPACE = 3 HYPHEN = 4 LINE_BREAK = 5 isPrefix = _messages.BooleanField(1) type = _messages.EnumField('TypeValueValuesEnum', 2) class GoogleCloudVisionV1p1beta1TextAnnotationDetectedLanguage(_messages.Message): r"""Detected language for a structural component. Fields: confidence: Confidence of detected language. Range [0, 1]. languageCode: 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 = _messages.FloatField(1, variant=_messages.Variant.FLOAT) languageCode = _messages.StringField(2) class GoogleCloudVisionV1p1beta1TextAnnotationTextProperty(_messages.Message): r"""Additional information detected on the structural component. Fields: detectedBreak: Detected start or end of a text segment. detectedLanguages: A list of detected languages together with confidence. """ detectedBreak = _messages.MessageField('GoogleCloudVisionV1p1beta1TextAnnotationDetectedBreak', 1) detectedLanguages = _messages.MessageField('GoogleCloudVisionV1p1beta1TextAnnotationDetectedLanguage', 2, repeated=True) class GoogleCloudVisionV1p1beta1Vertex(_messages.Message): r"""A vertex represents a 2D point in the image. NOTE: the vertex coordinates are in the same scale as the original image. Fields: x: X coordinate. y: Y coordinate. """ x = _messages.IntegerField(1, variant=_messages.Variant.INT32) y = _messages.IntegerField(2, variant=_messages.Variant.INT32) class GoogleCloudVisionV1p1beta1WebDetection(_messages.Message): r"""Relevant information for the image from the Internet. Fields: bestGuessLabels: The service's best guess as to the topic of the request image. Inferred from similar images on the open web. fullMatchingImages: Fully matching images from the Internet. Can include resized copies of the query image. pagesWithMatchingImages: Web pages containing the matching images from the Internet. 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. visuallySimilarImages: The visually similar image results. webEntities: Deduced entities from similar images on the Internet. """ bestGuessLabels = _messages.MessageField('GoogleCloudVisionV1p1beta1WebDetectionWebLabel', 1, repeated=True) fullMatchingImages = _messages.MessageField('GoogleCloudVisionV1p1beta1WebDetectionWebImage', 2, repeated=True) pagesWithMatchingImages = _messages.MessageField('GoogleCloudVisionV1p1beta1WebDetectionWebPage', 3, repeated=True) partialMatchingImages = _messages.MessageField('GoogleCloudVisionV1p1beta1WebDetectionWebImage', 4, repeated=True) visuallySimilarImages = _messages.MessageField('GoogleCloudVisionV1p1beta1WebDetectionWebImage', 5, repeated=True) webEntities = _messages.MessageField('GoogleCloudVisionV1p1beta1WebDetectionWebEntity', 6, repeated=True) class GoogleCloudVisionV1p1beta1WebDetectionWebEntity(_messages.Message): r"""Entity deduced from similar images on the Internet. Fields: description: Canonical description of the entity, in English. entityId: Opaque entity ID. score: Overall relevancy score for the entity. Not normalized and not comparable across different image queries. """ description = _messages.StringField(1) entityId = _messages.StringField(2) score = _messages.FloatField(3, variant=_messages.Variant.FLOAT) class GoogleCloudVisionV1p1beta1WebDetectionWebImage(_messages.Message): r"""Metadata for online images. Fields: score: (Deprecated) Overall relevancy score for the image. url: The result image URL. """ score = _messages.FloatField(1, variant=_messages.Variant.FLOAT) url = _messages.StringField(2) class GoogleCloudVisionV1p1beta1WebDetectionWebLabel(_messages.Message): r"""Label to provide extra metadata for the web detection. Fields: label: Label for extra metadata. languageCode: 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 = _messages.StringField(1) languageCode = _messages.StringField(2) class GoogleCloudVisionV1p1beta1WebDetectionWebPage(_messages.Message): r"""Metadata for web pages. Fields: fullMatchingImages: Fully matching images on the page. Can include resized copies of the query image. pageTitle: Title for the web page, may contain HTML markups. 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. score: (Deprecated) Overall relevancy score for the web page. url: The result web page URL. """ fullMatchingImages = _messages.MessageField('GoogleCloudVisionV1p1beta1WebDetectionWebImage', 1, repeated=True) pageTitle = _messages.StringField(2) partialMatchingImages = _messages.MessageField('GoogleCloudVisionV1p1beta1WebDetectionWebImage', 3, repeated=True) score = _messages.FloatField(4, variant=_messages.Variant.FLOAT) url = _messages.StringField(5) class GoogleCloudVisionV1p1beta1Word(_messages.Message): r"""A word representation. Fields: boundingBox: 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). confidence: Confidence of the OCR results for the word. Range [0, 1]. property: Additional information detected for the word. symbols: List of symbols in the word. The order of the symbols follows the natural reading order. """ boundingBox = _messages.MessageField('GoogleCloudVisionV1p1beta1BoundingPoly', 1) confidence = _messages.FloatField(2, variant=_messages.Variant.FLOAT) property = _messages.MessageField('GoogleCloudVisionV1p1beta1TextAnnotationTextProperty', 3) symbols = _messages.MessageField('GoogleCloudVisionV1p1beta1Symbol', 4, repeated=True) class GoogleCloudVisionV1p2beta1AnnotateFileResponse(_messages.Message): r"""Response to a single file annotation request. A file may contain one or more images, which individually have their own responses. Fields: error: If set, represents the error message for the failed request. The `responses` field will not be set in this case. inputConfig: Information about the file for which this response is generated. responses: Individual responses to images found within the file. This field will be empty if the `error` field is set. totalPages: This field gives the total number of pages in the file. """ error = _messages.MessageField('Status', 1) inputConfig = _messages.MessageField('GoogleCloudVisionV1p2beta1InputConfig', 2) responses = _messages.MessageField('GoogleCloudVisionV1p2beta1AnnotateImageResponse', 3, repeated=True) totalPages = _messages.IntegerField(4, variant=_messages.Variant.INT32) class GoogleCloudVisionV1p2beta1AnnotateImageResponse(_messages.Message): r"""Response to an image annotation request. Fields: context: If present, contextual information is needed to understand where this image comes from. cropHintsAnnotation: If present, crop hints have completed successfully. error: If set, represents the error message for the operation. Note that filled-in image annotations are guaranteed to be correct, even when `error` is set. faceAnnotations: If present, face detection has completed successfully. fullTextAnnotation: If present, text (OCR) detection or document (OCR) text detection has completed successfully. This annotation provides the structural hierarchy for the OCR detected text. imagePropertiesAnnotation: If present, image properties were extracted successfully. labelAnnotations: If present, label detection has completed successfully. landmarkAnnotations: If present, landmark detection has completed successfully. localizedObjectAnnotations: If present, localized object detection has completed successfully. This will be sorted descending by confidence score. logoAnnotations: If present, logo detection has completed successfully. productSearchResults: If present, product search has completed successfully. safeSearchAnnotation: If present, safe-search annotation has completed successfully. textAnnotations: If present, text (OCR) detection has completed successfully. webDetection: If present, web detection has completed successfully. """ context = _messages.MessageField('GoogleCloudVisionV1p2beta1ImageAnnotationContext', 1) cropHintsAnnotation = _messages.MessageField('GoogleCloudVisionV1p2beta1CropHintsAnnotation', 2) error = _messages.MessageField('Status', 3) faceAnnotations = _messages.MessageField('GoogleCloudVisionV1p2beta1FaceAnnotation', 4, repeated=True) fullTextAnnotation = _messages.MessageField('GoogleCloudVisionV1p2beta1TextAnnotation', 5) imagePropertiesAnnotation = _messages.MessageField('GoogleCloudVisionV1p2beta1ImageProperties', 6) labelAnnotations = _messages.MessageField('GoogleCloudVisionV1p2beta1EntityAnnotation', 7, repeated=True) landmarkAnnotations = _messages.MessageField('GoogleCloudVisionV1p2beta1EntityAnnotation', 8, repeated=True) localizedObjectAnnotations = _messages.MessageField('GoogleCloudVisionV1p2beta1LocalizedObjectAnnotation', 9, repeated=True) logoAnnotations = _messages.MessageField('GoogleCloudVisionV1p2beta1EntityAnnotation', 10, repeated=True) productSearchResults = _messages.MessageField('GoogleCloudVisionV1p2beta1ProductSearchResults', 11) safeSearchAnnotation = _messages.MessageField('GoogleCloudVisionV1p2beta1SafeSearchAnnotation', 12) textAnnotations = _messages.MessageField('GoogleCloudVisionV1p2beta1EntityAnnotation', 13, repeated=True) webDetection = _messages.MessageField('GoogleCloudVisionV1p2beta1WebDetection', 14) class GoogleCloudVisionV1p2beta1AsyncAnnotateFileResponse(_messages.Message): r"""The response for a single offline file annotation request. Fields: outputConfig: The output location and metadata from AsyncAnnotateFileRequest. """ outputConfig = _messages.MessageField('GoogleCloudVisionV1p2beta1OutputConfig', 1) class GoogleCloudVisionV1p2beta1AsyncBatchAnnotateFilesResponse(_messages.Message): r"""Response to an async batch file annotation request. Fields: responses: The list of file annotation responses, one for each request in AsyncBatchAnnotateFilesRequest. """ responses = _messages.MessageField('GoogleCloudVisionV1p2beta1AsyncAnnotateFileResponse', 1, repeated=True) class GoogleCloudVisionV1p2beta1Block(_messages.Message): r"""Logical element on the page. Enums: BlockTypeValueValuesEnum: Detected block type (text, image etc) for this block. Fields: blockType: Detected block type (text, image etc) for this block. boundingBox: 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). confidence: 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). property: Additional information detected for the block. """ class BlockTypeValueValuesEnum(_messages.Enum): r"""Detected block type (text, image etc) for this block. Values: UNKNOWN: Unknown block type. TEXT: Regular text block. TABLE: Table block. PICTURE: Image block. RULER: Horizontal/vertical line box. BARCODE: Barcode block. """ UNKNOWN = 0 TEXT = 1 TABLE = 2 PICTURE = 3 RULER = 4 BARCODE = 5 blockType = _messages.EnumField('BlockTypeValueValuesEnum', 1) boundingBox = _messages.MessageField('GoogleCloudVisionV1p2beta1BoundingPoly', 2) confidence = _messages.FloatField(3, variant=_messages.Variant.FLOAT) paragraphs = _messages.MessageField('GoogleCloudVisionV1p2beta1Paragraph', 4, repeated=True) property = _messages.MessageField('GoogleCloudVisionV1p2beta1TextAnnotationTextProperty', 5) class GoogleCloudVisionV1p2beta1BoundingPoly(_messages.Message): r"""A bounding polygon for the detected image annotation. Fields: normalizedVertices: The bounding polygon normalized vertices. vertices: The bounding polygon vertices. """ normalizedVertices = _messages.MessageField('GoogleCloudVisionV1p2beta1NormalizedVertex', 1, repeated=True) vertices = _messages.MessageField('GoogleCloudVisionV1p2beta1Vertex', 2, repeated=True) class GoogleCloudVisionV1p2beta1ColorInfo(_messages.Message): r"""Color information consists of RGB channels, score, and the fraction of the image that the color occupies in the image. Fields: color: RGB components of the color. pixelFraction: The fraction of pixels the color occupies in the image. Value in range [0, 1]. score: Image-specific score for this color. Value in range [0, 1]. """ color = _messages.MessageField('Color', 1) pixelFraction = _messages.FloatField(2, variant=_messages.Variant.FLOAT) score = _messages.FloatField(3, variant=_messages.Variant.FLOAT) class GoogleCloudVisionV1p2beta1CropHint(_messages.Message): r"""Single crop hint that is used to generate a new crop when serving an image. Fields: boundingPoly: The bounding polygon for the crop region. The coordinates of the bounding box are in the original image's scale. confidence: Confidence of this being a salient region. Range [0, 1]. importanceFraction: Fraction of importance of this salient region with respect to the original image. """ boundingPoly = _messages.MessageField('GoogleCloudVisionV1p2beta1BoundingPoly', 1) confidence = _messages.FloatField(2, variant=_messages.Variant.FLOAT) importanceFraction = _messages.FloatField(3, variant=_messages.Variant.FLOAT) class GoogleCloudVisionV1p2beta1CropHintsAnnotation(_messages.Message): r"""Set of crop hints that are used to generate new crops when serving images. Fields: cropHints: Crop hint results. """ cropHints = _messages.MessageField('GoogleCloudVisionV1p2beta1CropHint', 1, repeated=True) class GoogleCloudVisionV1p2beta1DominantColorsAnnotation(_messages.Message): r"""Set of dominant colors and their corresponding scores. Fields: colors: RGB color values with their score and pixel fraction. """ colors = _messages.MessageField('GoogleCloudVisionV1p2beta1ColorInfo', 1, repeated=True) class GoogleCloudVisionV1p2beta1EntityAnnotation(_messages.Message): r"""Set of detected entity features. Fields: boundingPoly: Image region to which this entity belongs. Not produced for `LABEL_DETECTION` features. confidence: **Deprecated. Use `score` instead.** The accuracy of the entity detection in an image. For example, for an image in which the "Eiffel Tower" entity is detected, this field represents the confidence that there is a tower in the query image. Range [0, 1]. description: Entity textual description, expressed in its `locale` language. locale: The language code for the locale in which the entity textual `description` is expressed. 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. mid: Opaque entity ID. Some IDs may be available in [Google Knowledge Graph Search API](https://developers.google.com/knowledge-graph/). properties: Some entities may have optional user-supplied `Property` (name/value) fields, such a score or string that qualifies the entity. score: Overall score of the result. Range [0, 1]. topicality: The relevancy of the ICA (Image Content Annotation) label to the image. For example, the relevancy of "tower" is likely higher to an image containing the detected "Eiffel Tower" than to an image containing a detected distant towering building, even though the confidence that there is a tower in each image may be the same. Range [0, 1]. """ boundingPoly = _messages.MessageField('GoogleCloudVisionV1p2beta1BoundingPoly', 1) confidence = _messages.FloatField(2, variant=_messages.Variant.FLOAT) description = _messages.StringField(3) locale = _messages.StringField(4) locations = _messages.MessageField('GoogleCloudVisionV1p2beta1LocationInfo', 5, repeated=True) mid = _messages.StringField(6) properties = _messages.MessageField('GoogleCloudVisionV1p2beta1Property', 7, repeated=True) score = _messages.FloatField(8, variant=_messages.Variant.FLOAT) topicality = _messages.FloatField(9, variant=_messages.Variant.FLOAT) class GoogleCloudVisionV1p2beta1FaceAnnotation(_messages.Message): r"""A face annotation object contains the results of face detection. Enums: AngerLikelihoodValueValuesEnum: Anger likelihood. BlurredLikelihoodValueValuesEnum: Blurred likelihood. HeadwearLikelihoodValueValuesEnum: Headwear likelihood. JoyLikelihoodValueValuesEnum: Joy likelihood. SorrowLikelihoodValueValuesEnum: Sorrow likelihood. SurpriseLikelihoodValueValuesEnum: Surprise likelihood. UnderExposedLikelihoodValueValuesEnum: Under-exposed likelihood. Fields: angerLikelihood: Anger likelihood. blurredLikelihood: Blurred likelihood. boundingPoly: 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. detectionConfidence: Detection confidence. Range [0, 1]. fdBoundingPoly: The `fd_bounding_poly` bounding polygon is tighter than the `boundingPoly`, and encloses only the skin part of the face. Typically, it is used to eliminate the face from any image analysis that detects the "amount of skin" visible in an image. It is not based on the landmarker results, only on the initial face detection, hence the fd (face detection) prefix. headwearLikelihood: Headwear likelihood. joyLikelihood: Joy likelihood. landmarkingConfidence: Face landmarking confidence. Range [0, 1]. landmarks: Detected face landmarks. panAngle: 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]. rollAngle: 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: Sorrow likelihood. surpriseLikelihood: Surprise likelihood. tiltAngle: Pitch angle, which indicates the upwards/downwards angle that the face is pointing relative to the image's horizontal plane. Range [-180,180]. underExposedLikelihood: Under-exposed likelihood. """ class AngerLikelihoodValueValuesEnum(_messages.Enum): r"""Anger likelihood. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 class BlurredLikelihoodValueValuesEnum(_messages.Enum): r"""Blurred likelihood. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 class HeadwearLikelihoodValueValuesEnum(_messages.Enum): r"""Headwear likelihood. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 class JoyLikelihoodValueValuesEnum(_messages.Enum): r"""Joy likelihood. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 class SorrowLikelihoodValueValuesEnum(_messages.Enum): r"""Sorrow likelihood. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 class SurpriseLikelihoodValueValuesEnum(_messages.Enum): r"""Surprise likelihood. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 class UnderExposedLikelihoodValueValuesEnum(_messages.Enum): r"""Under-exposed likelihood. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 angerLikelihood = _messages.EnumField('AngerLikelihoodValueValuesEnum', 1) blurredLikelihood = _messages.EnumField('BlurredLikelihoodValueValuesEnum', 2) boundingPoly = _messages.MessageField('GoogleCloudVisionV1p2beta1BoundingPoly', 3) detectionConfidence = _messages.FloatField(4, variant=_messages.Variant.FLOAT) fdBoundingPoly = _messages.MessageField('GoogleCloudVisionV1p2beta1BoundingPoly', 5) headwearLikelihood = _messages.EnumField('HeadwearLikelihoodValueValuesEnum', 6) joyLikelihood = _messages.EnumField('JoyLikelihoodValueValuesEnum', 7) landmarkingConfidence = _messages.FloatField(8, variant=_messages.Variant.FLOAT) landmarks = _messages.MessageField('GoogleCloudVisionV1p2beta1FaceAnnotationLandmark', 9, repeated=True) panAngle = _messages.FloatField(10, variant=_messages.Variant.FLOAT) rollAngle = _messages.FloatField(11, variant=_messages.Variant.FLOAT) sorrowLikelihood = _messages.EnumField('SorrowLikelihoodValueValuesEnum', 12) surpriseLikelihood = _messages.EnumField('SurpriseLikelihoodValueValuesEnum', 13) tiltAngle = _messages.FloatField(14, variant=_messages.Variant.FLOAT) underExposedLikelihood = _messages.EnumField('UnderExposedLikelihoodValueValuesEnum', 15) class GoogleCloudVisionV1p2beta1FaceAnnotationLandmark(_messages.Message): r"""A face-specific landmark (for example, a face feature). Landmark positions may fall outside the bounds of the image if the face is near one or more edges of the image. Therefore it is NOT guaranteed that `0 <= x < width` or `0 <= y < height`. Enums: TypeValueValuesEnum: Face landmark type. Fields: position: Face landmark position. type: Face landmark type. """ class TypeValueValuesEnum(_messages.Enum): r"""Face landmark type. Values: UNKNOWN_LANDMARK: Unknown face landmark detected. Should not be filled. LEFT_EYE: Left eye. RIGHT_EYE: Right eye. LEFT_OF_LEFT_EYEBROW: Left of left eyebrow. RIGHT_OF_LEFT_EYEBROW: Right of left eyebrow. LEFT_OF_RIGHT_EYEBROW: Left of right eyebrow. RIGHT_OF_RIGHT_EYEBROW: Right of right eyebrow. MIDPOINT_BETWEEN_EYES: Midpoint between eyes. NOSE_TIP: Nose tip. UPPER_LIP: Upper lip. LOWER_LIP: Lower lip. MOUTH_LEFT: Mouth left. MOUTH_RIGHT: Mouth right. MOUTH_CENTER: Mouth center. NOSE_BOTTOM_RIGHT: Nose, bottom right. NOSE_BOTTOM_LEFT: Nose, bottom left. NOSE_BOTTOM_CENTER: Nose, bottom center. LEFT_EYE_TOP_BOUNDARY: Left eye, top boundary. LEFT_EYE_RIGHT_CORNER: Left eye, right corner. LEFT_EYE_BOTTOM_BOUNDARY: Left eye, bottom boundary. LEFT_EYE_LEFT_CORNER: Left eye, left corner. RIGHT_EYE_TOP_BOUNDARY: Right eye, top boundary. RIGHT_EYE_RIGHT_CORNER: Right eye, right corner. RIGHT_EYE_BOTTOM_BOUNDARY: Right eye, bottom boundary. RIGHT_EYE_LEFT_CORNER: Right eye, left corner. LEFT_EYEBROW_UPPER_MIDPOINT: Left eyebrow, upper midpoint. RIGHT_EYEBROW_UPPER_MIDPOINT: Right eyebrow, upper midpoint. LEFT_EAR_TRAGION: Left ear tragion. RIGHT_EAR_TRAGION: Right ear tragion. LEFT_EYE_PUPIL: Left eye pupil. RIGHT_EYE_PUPIL: Right eye pupil. FOREHEAD_GLABELLA: Forehead glabella. CHIN_GNATHION: Chin gnathion. CHIN_LEFT_GONION: Chin left gonion. CHIN_RIGHT_GONION: Chin right gonion. LEFT_CHEEK_CENTER: Left cheek center. RIGHT_CHEEK_CENTER: Right cheek center. """ UNKNOWN_LANDMARK = 0 LEFT_EYE = 1 RIGHT_EYE = 2 LEFT_OF_LEFT_EYEBROW = 3 RIGHT_OF_LEFT_EYEBROW = 4 LEFT_OF_RIGHT_EYEBROW = 5 RIGHT_OF_RIGHT_EYEBROW = 6 MIDPOINT_BETWEEN_EYES = 7 NOSE_TIP = 8 UPPER_LIP = 9 LOWER_LIP = 10 MOUTH_LEFT = 11 MOUTH_RIGHT = 12 MOUTH_CENTER = 13 NOSE_BOTTOM_RIGHT = 14 NOSE_BOTTOM_LEFT = 15 NOSE_BOTTOM_CENTER = 16 LEFT_EYE_TOP_BOUNDARY = 17 LEFT_EYE_RIGHT_CORNER = 18 LEFT_EYE_BOTTOM_BOUNDARY = 19 LEFT_EYE_LEFT_CORNER = 20 RIGHT_EYE_TOP_BOUNDARY = 21 RIGHT_EYE_RIGHT_CORNER = 22 RIGHT_EYE_BOTTOM_BOUNDARY = 23 RIGHT_EYE_LEFT_CORNER = 24 LEFT_EYEBROW_UPPER_MIDPOINT = 25 RIGHT_EYEBROW_UPPER_MIDPOINT = 26 LEFT_EAR_TRAGION = 27 RIGHT_EAR_TRAGION = 28 LEFT_EYE_PUPIL = 29 RIGHT_EYE_PUPIL = 30 FOREHEAD_GLABELLA = 31 CHIN_GNATHION = 32 CHIN_LEFT_GONION = 33 CHIN_RIGHT_GONION = 34 LEFT_CHEEK_CENTER = 35 RIGHT_CHEEK_CENTER = 36 position = _messages.MessageField('GoogleCloudVisionV1p2beta1Position', 1) type = _messages.EnumField('TypeValueValuesEnum', 2) class GoogleCloudVisionV1p2beta1GcsDestination(_messages.Message): r"""The Google Cloud Storage location where the output will be written to. Fields: uri: Google Cloud Storage URI prefix where the results will be stored. Results will be in JSON format and preceded by its corresponding input URI prefix. This field can either represent a gcs file prefix or gcs directory. In either case, the uri should be unique because in order to get all of the output files, you will need to do a wildcard gcs search on the uri prefix you provide. Examples: * File Prefix: gs://bucket- name/here/filenameprefix The output files will be created in gs://bucket-name/here/ and the names of the output files will begin with "filenameprefix". * Directory Prefix: gs://bucket-name/some/location/ The output files will be created in gs://bucket-name/some/location/ and the names of the output files could be anything because there was no filename prefix specified. If multiple outputs, each response is still AnnotateFileResponse, each of which contains some subset of the full list of AnnotateImageResponse. Multiple outputs can happen if, for example, the output JSON is too large and overflows into multiple sharded files. """ uri = _messages.StringField(1) class GoogleCloudVisionV1p2beta1GcsSource(_messages.Message): r"""The Google Cloud Storage location where the input will be read from. Fields: uri: Google Cloud Storage URI for the input file. This must only be a Google Cloud Storage object. Wildcards are not currently supported. """ uri = _messages.StringField(1) class GoogleCloudVisionV1p2beta1ImageAnnotationContext(_messages.Message): r"""If an image was produced from a file (e.g. a PDF), this message gives information about the source of that image. Fields: pageNumber: If the file was a PDF or TIFF, this field gives the page number within the file used to produce the image. uri: The URI of the file used to produce the image. """ pageNumber = _messages.IntegerField(1, variant=_messages.Variant.INT32) uri = _messages.StringField(2) class GoogleCloudVisionV1p2beta1ImageProperties(_messages.Message): r"""Stores image properties, such as dominant colors. Fields: dominantColors: If present, dominant colors completed successfully. """ dominantColors = _messages.MessageField('GoogleCloudVisionV1p2beta1DominantColorsAnnotation', 1) class GoogleCloudVisionV1p2beta1InputConfig(_messages.Message): r"""The desired input location and metadata. Fields: content: File content, represented as a stream of bytes. Note: As with all `bytes` fields, protobuffers use a pure binary representation, whereas JSON representations use base64. Currently, this field only works for BatchAnnotateFiles requests. It does not work for AsyncBatchAnnotateFiles requests. gcsSource: The Google Cloud Storage location to read the input from. mimeType: The type of the file. Currently only "application/pdf", "image/tiff" and "image/gif" are supported. Wildcards are not supported. """ content = _messages.BytesField(1) gcsSource = _messages.MessageField('GoogleCloudVisionV1p2beta1GcsSource', 2) mimeType = _messages.StringField(3) class GoogleCloudVisionV1p2beta1LocalizedObjectAnnotation(_messages.Message): r"""Set of detected objects with bounding boxes. Fields: boundingPoly: Image region to which this object belongs. This must be populated. languageCode: 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: Object ID that should align with EntityAnnotation mid. name: Object name, expressed in its `language_code` language. score: Score of the result. Range [0, 1]. """ boundingPoly = _messages.MessageField('GoogleCloudVisionV1p2beta1BoundingPoly', 1) languageCode = _messages.StringField(2) mid = _messages.StringField(3) name = _messages.StringField(4) score = _messages.FloatField(5, variant=_messages.Variant.FLOAT) class GoogleCloudVisionV1p2beta1LocationInfo(_messages.Message): r"""Detected entity location information. Fields: latLng: lat/long location coordinates. """ latLng = _messages.MessageField('LatLng', 1) class GoogleCloudVisionV1p2beta1NormalizedVertex(_messages.Message): r"""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. Fields: x: X coordinate. y: Y coordinate. """ x = _messages.FloatField(1, variant=_messages.Variant.FLOAT) y = _messages.FloatField(2, variant=_messages.Variant.FLOAT) class GoogleCloudVisionV1p2beta1OperationMetadata(_messages.Message): r"""Contains metadata for the BatchAnnotateImages operation. Enums: StateValueValuesEnum: Current state of the batch operation. Fields: createTime: The time when the batch request was received. state: Current state of the batch operation. updateTime: The time when the operation result was last updated. """ class StateValueValuesEnum(_messages.Enum): r"""Current state of the batch operation. Values: STATE_UNSPECIFIED: Invalid. CREATED: Request is received. RUNNING: Request is actively being processed. DONE: The batch processing is done. CANCELLED: The batch processing was cancelled. """ STATE_UNSPECIFIED = 0 CREATED = 1 RUNNING = 2 DONE = 3 CANCELLED = 4 createTime = _messages.StringField(1) state = _messages.EnumField('StateValueValuesEnum', 2) updateTime = _messages.StringField(3) class GoogleCloudVisionV1p2beta1OutputConfig(_messages.Message): r"""The desired output location and metadata. Fields: batchSize: 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 to write the output(s) to. """ batchSize = _messages.IntegerField(1, variant=_messages.Variant.INT32) gcsDestination = _messages.MessageField('GoogleCloudVisionV1p2beta1GcsDestination', 2) class GoogleCloudVisionV1p2beta1Page(_messages.Message): r"""Detected page from OCR. Fields: blocks: List of blocks of text, images etc on this page. confidence: Confidence of the OCR results on the page. Range [0, 1]. height: Page height. For PDFs the unit is points. For images (including TIFFs) the unit is pixels. property: Additional information detected on the page. width: Page width. For PDFs the unit is points. For images (including TIFFs) the unit is pixels. """ blocks = _messages.MessageField('GoogleCloudVisionV1p2beta1Block', 1, repeated=True) confidence = _messages.FloatField(2, variant=_messages.Variant.FLOAT) height = _messages.IntegerField(3, variant=_messages.Variant.INT32) property = _messages.MessageField('GoogleCloudVisionV1p2beta1TextAnnotationTextProperty', 4) width = _messages.IntegerField(5, variant=_messages.Variant.INT32) class GoogleCloudVisionV1p2beta1Paragraph(_messages.Message): r"""Structural unit of text representing a number of words in certain order. Fields: boundingBox: 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). confidence: Confidence of the OCR results for the paragraph. Range [0, 1]. property: Additional information detected for the paragraph. words: List of all words in this paragraph. """ boundingBox = _messages.MessageField('GoogleCloudVisionV1p2beta1BoundingPoly', 1) confidence = _messages.FloatField(2, variant=_messages.Variant.FLOAT) property = _messages.MessageField('GoogleCloudVisionV1p2beta1TextAnnotationTextProperty', 3) words = _messages.MessageField('GoogleCloudVisionV1p2beta1Word', 4, repeated=True) class GoogleCloudVisionV1p2beta1Position(_messages.Message): r"""A 3D position in the image, used primarily for Face detection landmarks. A valid Position must have both x and y coordinates. The position coordinates are in the same scale as the original image. Fields: x: X coordinate. y: Y coordinate. z: Z coordinate (or depth). """ x = _messages.FloatField(1, variant=_messages.Variant.FLOAT) y = _messages.FloatField(2, variant=_messages.Variant.FLOAT) z = _messages.FloatField(3, variant=_messages.Variant.FLOAT) class GoogleCloudVisionV1p2beta1Product(_messages.Message): r"""A Product contains ReferenceImages. Fields: description: User-provided metadata to be stored with this product. Must be at most 4096 characters long. displayName: The user-provided name for this Product. Must not be empty. Must be at most 4096 characters long. name: The resource name of the product. Format is: `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID`. This field is ignored when creating a product. productCategory: Immutable. The category for the product identified by the reference image. This should be one of "homegoods-v2", "apparel-v2", "toys-v2", "packagedgoods-v1" or "general-v1". 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. """ description = _messages.StringField(1) displayName = _messages.StringField(2) name = _messages.StringField(3) productCategory = _messages.StringField(4) productLabels = _messages.MessageField('GoogleCloudVisionV1p2beta1ProductKeyValue', 5, repeated=True) class GoogleCloudVisionV1p2beta1ProductKeyValue(_messages.Message): r"""A product label represented as a key-value pair. Fields: key: The key of the label attached to the product. Cannot be empty and cannot exceed 128 bytes. value: The value of the label attached to the product. Cannot be empty and cannot exceed 128 bytes. """ key = _messages.StringField(1) value = _messages.StringField(2) class GoogleCloudVisionV1p2beta1ProductSearchResults(_messages.Message): r"""Results for a product search request. Fields: indexTime: 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. results: List of results, one for each product match. """ indexTime = _messages.StringField(1) productGroupedResults = _messages.MessageField('GoogleCloudVisionV1p2beta1ProductSearchResultsGroupedResult', 2, repeated=True) results = _messages.MessageField('GoogleCloudVisionV1p2beta1ProductSearchResultsResult', 3, repeated=True) class GoogleCloudVisionV1p2beta1ProductSearchResultsGroupedResult(_messages.Message): r"""Information about the products similar to a single product in a query image. Fields: boundingPoly: The bounding polygon around the product detected in the query image. objectAnnotations: List of generic predictions for the object in the bounding box. results: List of results, one for each product match. """ boundingPoly = _messages.MessageField('GoogleCloudVisionV1p2beta1BoundingPoly', 1) objectAnnotations = _messages.MessageField('GoogleCloudVisionV1p2beta1ProductSearchResultsObjectAnnotation', 2, repeated=True) results = _messages.MessageField('GoogleCloudVisionV1p2beta1ProductSearchResultsResult', 3, repeated=True) class GoogleCloudVisionV1p2beta1ProductSearchResultsObjectAnnotation(_messages.Message): r"""Prediction for what the object in the bounding box is. Fields: languageCode: 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: Object ID that should align with EntityAnnotation mid. name: Object name, expressed in its `language_code` language. score: Score of the result. Range [0, 1]. """ languageCode = _messages.StringField(1) mid = _messages.StringField(2) name = _messages.StringField(3) score = _messages.FloatField(4, variant=_messages.Variant.FLOAT) class GoogleCloudVisionV1p2beta1ProductSearchResultsResult(_messages.Message): r"""Information about a product. Fields: image: The resource name of the image from the product that is the closest match to the query. product: The Product. score: A confidence level on the match, ranging from 0 (no confidence) to 1 (full confidence). """ image = _messages.StringField(1) product = _messages.MessageField('GoogleCloudVisionV1p2beta1Product', 2) score = _messages.FloatField(3, variant=_messages.Variant.FLOAT) class GoogleCloudVisionV1p2beta1Property(_messages.Message): r"""A `Property` consists of a user-supplied name/value pair. Fields: name: Name of the property. uint64Value: Value of numeric properties. value: Value of the property. """ name = _messages.StringField(1) uint64Value = _messages.IntegerField(2, variant=_messages.Variant.UINT64) value = _messages.StringField(3) class GoogleCloudVisionV1p2beta1SafeSearchAnnotation(_messages.Message): r"""Set of features pertaining to the image, computed by computer vision methods over safe-search verticals (for example, adult, spoof, medical, violence). Enums: AdultValueValuesEnum: Represents the adult content likelihood for the image. Adult content may contain elements such as nudity, pornographic images or cartoons, or sexual activities. MedicalValueValuesEnum: Likelihood that this is a medical image. RacyValueValuesEnum: 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. SpoofValueValuesEnum: Spoof likelihood. The likelihood that an modification was made to the image's canonical version to make it appear funny or offensive. ViolenceValueValuesEnum: Likelihood that this image contains violent content. Violent content may include death, serious harm, or injury to individuals or groups of individuals. Fields: adult: Represents the adult content likelihood for the image. Adult content may contain elements such as nudity, pornographic images or cartoons, or sexual activities. medical: Likelihood that this is a medical image. racy: Likelihood that the request image contains racy content. Racy content may include (but is not limited to) skimpy or sheer clothing, strategically covered nudity, lewd or provocative poses, or close-ups of sensitive body areas. spoof: Spoof likelihood. The likelihood that an modification was made to the image's canonical version to make it appear funny or offensive. violence: Likelihood that this image contains violent content. Violent content may include death, serious harm, or injury to individuals or groups of individuals. """ class AdultValueValuesEnum(_messages.Enum): r"""Represents the adult content likelihood for the image. Adult content may contain elements such as nudity, pornographic images or cartoons, or sexual activities. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 class MedicalValueValuesEnum(_messages.Enum): r"""Likelihood that this is a medical image. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 class RacyValueValuesEnum(_messages.Enum): r"""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. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 class SpoofValueValuesEnum(_messages.Enum): r"""Spoof likelihood. The likelihood that an modification was made to the image's canonical version to make it appear funny or offensive. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 class ViolenceValueValuesEnum(_messages.Enum): r"""Likelihood that this image contains violent content. Violent content may include death, serious harm, or injury to individuals or groups of individuals. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 adult = _messages.EnumField('AdultValueValuesEnum', 1) medical = _messages.EnumField('MedicalValueValuesEnum', 2) racy = _messages.EnumField('RacyValueValuesEnum', 3) spoof = _messages.EnumField('SpoofValueValuesEnum', 4) violence = _messages.EnumField('ViolenceValueValuesEnum', 5) class GoogleCloudVisionV1p2beta1Symbol(_messages.Message): r"""A single symbol representation. Fields: boundingBox: 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 vertex order will still be (0, 1, 2, 3). confidence: Confidence of the OCR results for the symbol. Range [0, 1]. property: Additional information detected for the symbol. text: The actual UTF-8 representation of the symbol. """ boundingBox = _messages.MessageField('GoogleCloudVisionV1p2beta1BoundingPoly', 1) confidence = _messages.FloatField(2, variant=_messages.Variant.FLOAT) property = _messages.MessageField('GoogleCloudVisionV1p2beta1TextAnnotationTextProperty', 3) text = _messages.StringField(4) class GoogleCloudVisionV1p2beta1TextAnnotation(_messages.Message): r"""TextAnnotation contains a structured representation of OCR extracted text. The hierarchy of an OCR extracted text structure is like this: TextAnnotation -> Page -> Block -> Paragraph -> Word -> Symbol Each structural component, starting from Page, may further have their own properties. Properties describe detected languages, breaks etc.. Please refer to the TextAnnotation.TextProperty message definition below for more detail. Fields: pages: List of pages detected by OCR. text: UTF-8 text detected on the pages. """ pages = _messages.MessageField('GoogleCloudVisionV1p2beta1Page', 1, repeated=True) text = _messages.StringField(2) class GoogleCloudVisionV1p2beta1TextAnnotationDetectedBreak(_messages.Message): r"""Detected start or end of a structural component. Enums: TypeValueValuesEnum: Detected break type. Fields: isPrefix: True if break prepends the element. type: Detected break type. """ class TypeValueValuesEnum(_messages.Enum): r"""Detected break type. Values: UNKNOWN: Unknown break label type. SPACE: Regular space. SURE_SPACE: Sure space (very wide). EOL_SURE_SPACE: Line-wrapping break. HYPHEN: End-line hyphen that is not present in text; does not co-occur with `SPACE`, `LEADER_SPACE`, or `LINE_BREAK`. LINE_BREAK: Line break that ends a paragraph. """ UNKNOWN = 0 SPACE = 1 SURE_SPACE = 2 EOL_SURE_SPACE = 3 HYPHEN = 4 LINE_BREAK = 5 isPrefix = _messages.BooleanField(1) type = _messages.EnumField('TypeValueValuesEnum', 2) class GoogleCloudVisionV1p2beta1TextAnnotationDetectedLanguage(_messages.Message): r"""Detected language for a structural component. Fields: confidence: Confidence of detected language. Range [0, 1]. languageCode: 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 = _messages.FloatField(1, variant=_messages.Variant.FLOAT) languageCode = _messages.StringField(2) class GoogleCloudVisionV1p2beta1TextAnnotationTextProperty(_messages.Message): r"""Additional information detected on the structural component. Fields: detectedBreak: Detected start or end of a text segment. detectedLanguages: A list of detected languages together with confidence. """ detectedBreak = _messages.MessageField('GoogleCloudVisionV1p2beta1TextAnnotationDetectedBreak', 1) detectedLanguages = _messages.MessageField('GoogleCloudVisionV1p2beta1TextAnnotationDetectedLanguage', 2, repeated=True) class GoogleCloudVisionV1p2beta1Vertex(_messages.Message): r"""A vertex represents a 2D point in the image. NOTE: the vertex coordinates are in the same scale as the original image. Fields: x: X coordinate. y: Y coordinate. """ x = _messages.IntegerField(1, variant=_messages.Variant.INT32) y = _messages.IntegerField(2, variant=_messages.Variant.INT32) class GoogleCloudVisionV1p2beta1WebDetection(_messages.Message): r"""Relevant information for the image from the Internet. Fields: bestGuessLabels: The service's best guess as to the topic of the request image. Inferred from similar images on the open web. fullMatchingImages: Fully matching images from the Internet. Can include resized copies of the query image. pagesWithMatchingImages: Web pages containing the matching images from the Internet. 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. visuallySimilarImages: The visually similar image results. webEntities: Deduced entities from similar images on the Internet. """ bestGuessLabels = _messages.MessageField('GoogleCloudVisionV1p2beta1WebDetectionWebLabel', 1, repeated=True) fullMatchingImages = _messages.MessageField('GoogleCloudVisionV1p2beta1WebDetectionWebImage', 2, repeated=True) pagesWithMatchingImages = _messages.MessageField('GoogleCloudVisionV1p2beta1WebDetectionWebPage', 3, repeated=True) partialMatchingImages = _messages.MessageField('GoogleCloudVisionV1p2beta1WebDetectionWebImage', 4, repeated=True) visuallySimilarImages = _messages.MessageField('GoogleCloudVisionV1p2beta1WebDetectionWebImage', 5, repeated=True) webEntities = _messages.MessageField('GoogleCloudVisionV1p2beta1WebDetectionWebEntity', 6, repeated=True) class GoogleCloudVisionV1p2beta1WebDetectionWebEntity(_messages.Message): r"""Entity deduced from similar images on the Internet. Fields: description: Canonical description of the entity, in English. entityId: Opaque entity ID. score: Overall relevancy score for the entity. Not normalized and not comparable across different image queries. """ description = _messages.StringField(1) entityId = _messages.StringField(2) score = _messages.FloatField(3, variant=_messages.Variant.FLOAT) class GoogleCloudVisionV1p2beta1WebDetectionWebImage(_messages.Message): r"""Metadata for online images. Fields: score: (Deprecated) Overall relevancy score for the image. url: The result image URL. """ score = _messages.FloatField(1, variant=_messages.Variant.FLOAT) url = _messages.StringField(2) class GoogleCloudVisionV1p2beta1WebDetectionWebLabel(_messages.Message): r"""Label to provide extra metadata for the web detection. Fields: label: Label for extra metadata. languageCode: 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 = _messages.StringField(1) languageCode = _messages.StringField(2) class GoogleCloudVisionV1p2beta1WebDetectionWebPage(_messages.Message): r"""Metadata for web pages. Fields: fullMatchingImages: Fully matching images on the page. Can include resized copies of the query image. pageTitle: Title for the web page, may contain HTML markups. 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. score: (Deprecated) Overall relevancy score for the web page. url: The result web page URL. """ fullMatchingImages = _messages.MessageField('GoogleCloudVisionV1p2beta1WebDetectionWebImage', 1, repeated=True) pageTitle = _messages.StringField(2) partialMatchingImages = _messages.MessageField('GoogleCloudVisionV1p2beta1WebDetectionWebImage', 3, repeated=True) score = _messages.FloatField(4, variant=_messages.Variant.FLOAT) url = _messages.StringField(5) class GoogleCloudVisionV1p2beta1Word(_messages.Message): r"""A word representation. Fields: boundingBox: 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). confidence: Confidence of the OCR results for the word. Range [0, 1]. property: Additional information detected for the word. symbols: List of symbols in the word. The order of the symbols follows the natural reading order. """ boundingBox = _messages.MessageField('GoogleCloudVisionV1p2beta1BoundingPoly', 1) confidence = _messages.FloatField(2, variant=_messages.Variant.FLOAT) property = _messages.MessageField('GoogleCloudVisionV1p2beta1TextAnnotationTextProperty', 3) symbols = _messages.MessageField('GoogleCloudVisionV1p2beta1Symbol', 4, repeated=True) class GoogleCloudVisionV1p3beta1AnnotateFileResponse(_messages.Message): r"""Response to a single file annotation request. A file may contain one or more images, which individually have their own responses. Fields: error: If set, represents the error message for the failed request. The `responses` field will not be set in this case. inputConfig: Information about the file for which this response is generated. responses: Individual responses to images found within the file. This field will be empty if the `error` field is set. totalPages: This field gives the total number of pages in the file. """ error = _messages.MessageField('Status', 1) inputConfig = _messages.MessageField('GoogleCloudVisionV1p3beta1InputConfig', 2) responses = _messages.MessageField('GoogleCloudVisionV1p3beta1AnnotateImageResponse', 3, repeated=True) totalPages = _messages.IntegerField(4, variant=_messages.Variant.INT32) class GoogleCloudVisionV1p3beta1AnnotateImageResponse(_messages.Message): r"""Response to an image annotation request. Fields: context: If present, contextual information is needed to understand where this image comes from. cropHintsAnnotation: If present, crop hints have completed successfully. error: If set, represents the error message for the operation. Note that filled-in image annotations are guaranteed to be correct, even when `error` is set. faceAnnotations: If present, face detection has completed successfully. fullTextAnnotation: If present, text (OCR) detection or document (OCR) text detection has completed successfully. This annotation provides the structural hierarchy for the OCR detected text. imagePropertiesAnnotation: If present, image properties were extracted successfully. labelAnnotations: If present, label detection has completed successfully. landmarkAnnotations: If present, landmark detection has completed successfully. localizedObjectAnnotations: If present, localized object detection has completed successfully. This will be sorted descending by confidence score. logoAnnotations: If present, logo detection has completed successfully. productSearchResults: If present, product search has completed successfully. safeSearchAnnotation: If present, safe-search annotation has completed successfully. textAnnotations: If present, text (OCR) detection has completed successfully. webDetection: If present, web detection has completed successfully. """ context = _messages.MessageField('GoogleCloudVisionV1p3beta1ImageAnnotationContext', 1) cropHintsAnnotation = _messages.MessageField('GoogleCloudVisionV1p3beta1CropHintsAnnotation', 2) error = _messages.MessageField('Status', 3) faceAnnotations = _messages.MessageField('GoogleCloudVisionV1p3beta1FaceAnnotation', 4, repeated=True) fullTextAnnotation = _messages.MessageField('GoogleCloudVisionV1p3beta1TextAnnotation', 5) imagePropertiesAnnotation = _messages.MessageField('GoogleCloudVisionV1p3beta1ImageProperties', 6) labelAnnotations = _messages.MessageField('GoogleCloudVisionV1p3beta1EntityAnnotation', 7, repeated=True) landmarkAnnotations = _messages.MessageField('GoogleCloudVisionV1p3beta1EntityAnnotation', 8, repeated=True) localizedObjectAnnotations = _messages.MessageField('GoogleCloudVisionV1p3beta1LocalizedObjectAnnotation', 9, repeated=True) logoAnnotations = _messages.MessageField('GoogleCloudVisionV1p3beta1EntityAnnotation', 10, repeated=True) productSearchResults = _messages.MessageField('GoogleCloudVisionV1p3beta1ProductSearchResults', 11) safeSearchAnnotation = _messages.MessageField('GoogleCloudVisionV1p3beta1SafeSearchAnnotation', 12) textAnnotations = _messages.MessageField('GoogleCloudVisionV1p3beta1EntityAnnotation', 13, repeated=True) webDetection = _messages.MessageField('GoogleCloudVisionV1p3beta1WebDetection', 14) class GoogleCloudVisionV1p3beta1AsyncAnnotateFileResponse(_messages.Message): r"""The response for a single offline file annotation request. Fields: outputConfig: The output location and metadata from AsyncAnnotateFileRequest. """ outputConfig = _messages.MessageField('GoogleCloudVisionV1p3beta1OutputConfig', 1) class GoogleCloudVisionV1p3beta1AsyncBatchAnnotateFilesResponse(_messages.Message): r"""Response to an async batch file annotation request. Fields: responses: The list of file annotation responses, one for each request in AsyncBatchAnnotateFilesRequest. """ responses = _messages.MessageField('GoogleCloudVisionV1p3beta1AsyncAnnotateFileResponse', 1, repeated=True) class GoogleCloudVisionV1p3beta1BatchOperationMetadata(_messages.Message): r"""Metadata for the batch operations such as the current state. This is included in the `metadata` field of the `Operation` returned by the `GetOperation` call of the `google::longrunning::Operations` service. Enums: StateValueValuesEnum: The current state of the batch operation. Fields: endTime: The time when the batch request is finished and google.longrunning.Operation.done is set to true. state: The current state of the batch operation. submitTime: The time when the batch request was submitted to the server. """ class StateValueValuesEnum(_messages.Enum): r"""The current state of the batch operation. Values: STATE_UNSPECIFIED: Invalid. PROCESSING: Request is actively being processed. SUCCESSFUL: The request is done and at least one item has been successfully processed. FAILED: The request is done and no item has been successfully processed. CANCELLED: The request is done after the longrunning.Operations.CancelOperation has been called by the user. Any records that were processed before the cancel command are output as specified in the request. """ STATE_UNSPECIFIED = 0 PROCESSING = 1 SUCCESSFUL = 2 FAILED = 3 CANCELLED = 4 endTime = _messages.StringField(1) state = _messages.EnumField('StateValueValuesEnum', 2) submitTime = _messages.StringField(3) class GoogleCloudVisionV1p3beta1Block(_messages.Message): r"""Logical element on the page. Enums: BlockTypeValueValuesEnum: Detected block type (text, image etc) for this block. Fields: blockType: Detected block type (text, image etc) for this block. boundingBox: 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). confidence: 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). property: Additional information detected for the block. """ class BlockTypeValueValuesEnum(_messages.Enum): r"""Detected block type (text, image etc) for this block. Values: UNKNOWN: Unknown block type. TEXT: Regular text block. TABLE: Table block. PICTURE: Image block. RULER: Horizontal/vertical line box. BARCODE: Barcode block. """ UNKNOWN = 0 TEXT = 1 TABLE = 2 PICTURE = 3 RULER = 4 BARCODE = 5 blockType = _messages.EnumField('BlockTypeValueValuesEnum', 1) boundingBox = _messages.MessageField('GoogleCloudVisionV1p3beta1BoundingPoly', 2) confidence = _messages.FloatField(3, variant=_messages.Variant.FLOAT) paragraphs = _messages.MessageField('GoogleCloudVisionV1p3beta1Paragraph', 4, repeated=True) property = _messages.MessageField('GoogleCloudVisionV1p3beta1TextAnnotationTextProperty', 5) class GoogleCloudVisionV1p3beta1BoundingPoly(_messages.Message): r"""A bounding polygon for the detected image annotation. Fields: normalizedVertices: The bounding polygon normalized vertices. vertices: The bounding polygon vertices. """ normalizedVertices = _messages.MessageField('GoogleCloudVisionV1p3beta1NormalizedVertex', 1, repeated=True) vertices = _messages.MessageField('GoogleCloudVisionV1p3beta1Vertex', 2, repeated=True) class GoogleCloudVisionV1p3beta1ColorInfo(_messages.Message): r"""Color information consists of RGB channels, score, and the fraction of the image that the color occupies in the image. Fields: color: RGB components of the color. pixelFraction: The fraction of pixels the color occupies in the image. Value in range [0, 1]. score: Image-specific score for this color. Value in range [0, 1]. """ color = _messages.MessageField('Color', 1) pixelFraction = _messages.FloatField(2, variant=_messages.Variant.FLOAT) score = _messages.FloatField(3, variant=_messages.Variant.FLOAT) class GoogleCloudVisionV1p3beta1CropHint(_messages.Message): r"""Single crop hint that is used to generate a new crop when serving an image. Fields: boundingPoly: The bounding polygon for the crop region. The coordinates of the bounding box are in the original image's scale. confidence: Confidence of this being a salient region. Range [0, 1]. importanceFraction: Fraction of importance of this salient region with respect to the original image. """ boundingPoly = _messages.MessageField('GoogleCloudVisionV1p3beta1BoundingPoly', 1) confidence = _messages.FloatField(2, variant=_messages.Variant.FLOAT) importanceFraction = _messages.FloatField(3, variant=_messages.Variant.FLOAT) class GoogleCloudVisionV1p3beta1CropHintsAnnotation(_messages.Message): r"""Set of crop hints that are used to generate new crops when serving images. Fields: cropHints: Crop hint results. """ cropHints = _messages.MessageField('GoogleCloudVisionV1p3beta1CropHint', 1, repeated=True) class GoogleCloudVisionV1p3beta1DominantColorsAnnotation(_messages.Message): r"""Set of dominant colors and their corresponding scores. Fields: colors: RGB color values with their score and pixel fraction. """ colors = _messages.MessageField('GoogleCloudVisionV1p3beta1ColorInfo', 1, repeated=True) class GoogleCloudVisionV1p3beta1EntityAnnotation(_messages.Message): r"""Set of detected entity features. Fields: boundingPoly: Image region to which this entity belongs. Not produced for `LABEL_DETECTION` features. confidence: **Deprecated. Use `score` instead.** The accuracy of the entity detection in an image. For example, for an image in which the "Eiffel Tower" entity is detected, this field represents the confidence that there is a tower in the query image. Range [0, 1]. description: Entity textual description, expressed in its `locale` language. locale: The language code for the locale in which the entity textual `description` is expressed. 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. mid: Opaque entity ID. Some IDs may be available in [Google Knowledge Graph Search API](https://developers.google.com/knowledge-graph/). properties: Some entities may have optional user-supplied `Property` (name/value) fields, such a score or string that qualifies the entity. score: Overall score of the result. Range [0, 1]. topicality: The relevancy of the ICA (Image Content Annotation) label to the image. For example, the relevancy of "tower" is likely higher to an image containing the detected "Eiffel Tower" than to an image containing a detected distant towering building, even though the confidence that there is a tower in each image may be the same. Range [0, 1]. """ boundingPoly = _messages.MessageField('GoogleCloudVisionV1p3beta1BoundingPoly', 1) confidence = _messages.FloatField(2, variant=_messages.Variant.FLOAT) description = _messages.StringField(3) locale = _messages.StringField(4) locations = _messages.MessageField('GoogleCloudVisionV1p3beta1LocationInfo', 5, repeated=True) mid = _messages.StringField(6) properties = _messages.MessageField('GoogleCloudVisionV1p3beta1Property', 7, repeated=True) score = _messages.FloatField(8, variant=_messages.Variant.FLOAT) topicality = _messages.FloatField(9, variant=_messages.Variant.FLOAT) class GoogleCloudVisionV1p3beta1FaceAnnotation(_messages.Message): r"""A face annotation object contains the results of face detection. Enums: AngerLikelihoodValueValuesEnum: Anger likelihood. BlurredLikelihoodValueValuesEnum: Blurred likelihood. HeadwearLikelihoodValueValuesEnum: Headwear likelihood. JoyLikelihoodValueValuesEnum: Joy likelihood. SorrowLikelihoodValueValuesEnum: Sorrow likelihood. SurpriseLikelihoodValueValuesEnum: Surprise likelihood. UnderExposedLikelihoodValueValuesEnum: Under-exposed likelihood. Fields: angerLikelihood: Anger likelihood. blurredLikelihood: Blurred likelihood. boundingPoly: 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. detectionConfidence: Detection confidence. Range [0, 1]. fdBoundingPoly: The `fd_bounding_poly` bounding polygon is tighter than the `boundingPoly`, and encloses only the skin part of the face. Typically, it is used to eliminate the face from any image analysis that detects the "amount of skin" visible in an image. It is not based on the landmarker results, only on the initial face detection, hence the fd (face detection) prefix. headwearLikelihood: Headwear likelihood. joyLikelihood: Joy likelihood. landmarkingConfidence: Face landmarking confidence. Range [0, 1]. landmarks: Detected face landmarks. panAngle: 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]. rollAngle: 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: Sorrow likelihood. surpriseLikelihood: Surprise likelihood. tiltAngle: Pitch angle, which indicates the upwards/downwards angle that the face is pointing relative to the image's horizontal plane. Range [-180,180]. underExposedLikelihood: Under-exposed likelihood. """ class AngerLikelihoodValueValuesEnum(_messages.Enum): r"""Anger likelihood. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 class BlurredLikelihoodValueValuesEnum(_messages.Enum): r"""Blurred likelihood. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 class HeadwearLikelihoodValueValuesEnum(_messages.Enum): r"""Headwear likelihood. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 class JoyLikelihoodValueValuesEnum(_messages.Enum): r"""Joy likelihood. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 class SorrowLikelihoodValueValuesEnum(_messages.Enum): r"""Sorrow likelihood. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 class SurpriseLikelihoodValueValuesEnum(_messages.Enum): r"""Surprise likelihood. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 class UnderExposedLikelihoodValueValuesEnum(_messages.Enum): r"""Under-exposed likelihood. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 angerLikelihood = _messages.EnumField('AngerLikelihoodValueValuesEnum', 1) blurredLikelihood = _messages.EnumField('BlurredLikelihoodValueValuesEnum', 2) boundingPoly = _messages.MessageField('GoogleCloudVisionV1p3beta1BoundingPoly', 3) detectionConfidence = _messages.FloatField(4, variant=_messages.Variant.FLOAT) fdBoundingPoly = _messages.MessageField('GoogleCloudVisionV1p3beta1BoundingPoly', 5) headwearLikelihood = _messages.EnumField('HeadwearLikelihoodValueValuesEnum', 6) joyLikelihood = _messages.EnumField('JoyLikelihoodValueValuesEnum', 7) landmarkingConfidence = _messages.FloatField(8, variant=_messages.Variant.FLOAT) landmarks = _messages.MessageField('GoogleCloudVisionV1p3beta1FaceAnnotationLandmark', 9, repeated=True) panAngle = _messages.FloatField(10, variant=_messages.Variant.FLOAT) rollAngle = _messages.FloatField(11, variant=_messages.Variant.FLOAT) sorrowLikelihood = _messages.EnumField('SorrowLikelihoodValueValuesEnum', 12) surpriseLikelihood = _messages.EnumField('SurpriseLikelihoodValueValuesEnum', 13) tiltAngle = _messages.FloatField(14, variant=_messages.Variant.FLOAT) underExposedLikelihood = _messages.EnumField('UnderExposedLikelihoodValueValuesEnum', 15) class GoogleCloudVisionV1p3beta1FaceAnnotationLandmark(_messages.Message): r"""A face-specific landmark (for example, a face feature). Landmark positions may fall outside the bounds of the image if the face is near one or more edges of the image. Therefore it is NOT guaranteed that `0 <= x < width` or `0 <= y < height`. Enums: TypeValueValuesEnum: Face landmark type. Fields: position: Face landmark position. type: Face landmark type. """ class TypeValueValuesEnum(_messages.Enum): r"""Face landmark type. Values: UNKNOWN_LANDMARK: Unknown face landmark detected. Should not be filled. LEFT_EYE: Left eye. RIGHT_EYE: Right eye. LEFT_OF_LEFT_EYEBROW: Left of left eyebrow. RIGHT_OF_LEFT_EYEBROW: Right of left eyebrow. LEFT_OF_RIGHT_EYEBROW: Left of right eyebrow. RIGHT_OF_RIGHT_EYEBROW: Right of right eyebrow. MIDPOINT_BETWEEN_EYES: Midpoint between eyes. NOSE_TIP: Nose tip. UPPER_LIP: Upper lip. LOWER_LIP: Lower lip. MOUTH_LEFT: Mouth left. MOUTH_RIGHT: Mouth right. MOUTH_CENTER: Mouth center. NOSE_BOTTOM_RIGHT: Nose, bottom right. NOSE_BOTTOM_LEFT: Nose, bottom left. NOSE_BOTTOM_CENTER: Nose, bottom center. LEFT_EYE_TOP_BOUNDARY: Left eye, top boundary. LEFT_EYE_RIGHT_CORNER: Left eye, right corner. LEFT_EYE_BOTTOM_BOUNDARY: Left eye, bottom boundary. LEFT_EYE_LEFT_CORNER: Left eye, left corner. RIGHT_EYE_TOP_BOUNDARY: Right eye, top boundary. RIGHT_EYE_RIGHT_CORNER: Right eye, right corner. RIGHT_EYE_BOTTOM_BOUNDARY: Right eye, bottom boundary. RIGHT_EYE_LEFT_CORNER: Right eye, left corner. LEFT_EYEBROW_UPPER_MIDPOINT: Left eyebrow, upper midpoint. RIGHT_EYEBROW_UPPER_MIDPOINT: Right eyebrow, upper midpoint. LEFT_EAR_TRAGION: Left ear tragion. RIGHT_EAR_TRAGION: Right ear tragion. LEFT_EYE_PUPIL: Left eye pupil. RIGHT_EYE_PUPIL: Right eye pupil. FOREHEAD_GLABELLA: Forehead glabella. CHIN_GNATHION: Chin gnathion. CHIN_LEFT_GONION: Chin left gonion. CHIN_RIGHT_GONION: Chin right gonion. LEFT_CHEEK_CENTER: Left cheek center. RIGHT_CHEEK_CENTER: Right cheek center. """ UNKNOWN_LANDMARK = 0 LEFT_EYE = 1 RIGHT_EYE = 2 LEFT_OF_LEFT_EYEBROW = 3 RIGHT_OF_LEFT_EYEBROW = 4 LEFT_OF_RIGHT_EYEBROW = 5 RIGHT_OF_RIGHT_EYEBROW = 6 MIDPOINT_BETWEEN_EYES = 7 NOSE_TIP = 8 UPPER_LIP = 9 LOWER_LIP = 10 MOUTH_LEFT = 11 MOUTH_RIGHT = 12 MOUTH_CENTER = 13 NOSE_BOTTOM_RIGHT = 14 NOSE_BOTTOM_LEFT = 15 NOSE_BOTTOM_CENTER = 16 LEFT_EYE_TOP_BOUNDARY = 17 LEFT_EYE_RIGHT_CORNER = 18 LEFT_EYE_BOTTOM_BOUNDARY = 19 LEFT_EYE_LEFT_CORNER = 20 RIGHT_EYE_TOP_BOUNDARY = 21 RIGHT_EYE_RIGHT_CORNER = 22 RIGHT_EYE_BOTTOM_BOUNDARY = 23 RIGHT_EYE_LEFT_CORNER = 24 LEFT_EYEBROW_UPPER_MIDPOINT = 25 RIGHT_EYEBROW_UPPER_MIDPOINT = 26 LEFT_EAR_TRAGION = 27 RIGHT_EAR_TRAGION = 28 LEFT_EYE_PUPIL = 29 RIGHT_EYE_PUPIL = 30 FOREHEAD_GLABELLA = 31 CHIN_GNATHION = 32 CHIN_LEFT_GONION = 33 CHIN_RIGHT_GONION = 34 LEFT_CHEEK_CENTER = 35 RIGHT_CHEEK_CENTER = 36 position = _messages.MessageField('GoogleCloudVisionV1p3beta1Position', 1) type = _messages.EnumField('TypeValueValuesEnum', 2) class GoogleCloudVisionV1p3beta1GcsDestination(_messages.Message): r"""The Google Cloud Storage location where the output will be written to. Fields: uri: Google Cloud Storage URI prefix where the results will be stored. Results will be in JSON format and preceded by its corresponding input URI prefix. This field can either represent a gcs file prefix or gcs directory. In either case, the uri should be unique because in order to get all of the output files, you will need to do a wildcard gcs search on the uri prefix you provide. Examples: * File Prefix: gs://bucket- name/here/filenameprefix The output files will be created in gs://bucket-name/here/ and the names of the output files will begin with "filenameprefix". * Directory Prefix: gs://bucket-name/some/location/ The output files will be created in gs://bucket-name/some/location/ and the names of the output files could be anything because there was no filename prefix specified. If multiple outputs, each response is still AnnotateFileResponse, each of which contains some subset of the full list of AnnotateImageResponse. Multiple outputs can happen if, for example, the output JSON is too large and overflows into multiple sharded files. """ uri = _messages.StringField(1) class GoogleCloudVisionV1p3beta1GcsSource(_messages.Message): r"""The Google Cloud Storage location where the input will be read from. Fields: uri: Google Cloud Storage URI for the input file. This must only be a Google Cloud Storage object. Wildcards are not currently supported. """ uri = _messages.StringField(1) class GoogleCloudVisionV1p3beta1ImageAnnotationContext(_messages.Message): r"""If an image was produced from a file (e.g. a PDF), this message gives information about the source of that image. Fields: pageNumber: If the file was a PDF or TIFF, this field gives the page number within the file used to produce the image. uri: The URI of the file used to produce the image. """ pageNumber = _messages.IntegerField(1, variant=_messages.Variant.INT32) uri = _messages.StringField(2) class GoogleCloudVisionV1p3beta1ImageProperties(_messages.Message): r"""Stores image properties, such as dominant colors. Fields: dominantColors: If present, dominant colors completed successfully. """ dominantColors = _messages.MessageField('GoogleCloudVisionV1p3beta1DominantColorsAnnotation', 1) class GoogleCloudVisionV1p3beta1ImportProductSetsResponse(_messages.Message): r"""Response message for the `ImportProductSets` method. This message is returned by the google.longrunning.Operations.GetOperation method in the returned google.longrunning.Operation.response field. Fields: referenceImages: The list of reference_images that are imported successfully. statuses: The rpc status for each ImportProductSet request, including both successes and errors. The number of statuses here matches the number of lines in the csv file, and statuses[i] stores the success or failure status of processing the i-th line of the csv, starting from line 0. """ referenceImages = _messages.MessageField('GoogleCloudVisionV1p3beta1ReferenceImage', 1, repeated=True) statuses = _messages.MessageField('Status', 2, repeated=True) class GoogleCloudVisionV1p3beta1InputConfig(_messages.Message): r"""The desired input location and metadata. Fields: content: File content, represented as a stream of bytes. Note: As with all `bytes` fields, protobuffers use a pure binary representation, whereas JSON representations use base64. Currently, this field only works for BatchAnnotateFiles requests. It does not work for AsyncBatchAnnotateFiles requests. gcsSource: The Google Cloud Storage location to read the input from. mimeType: The type of the file. Currently only "application/pdf", "image/tiff" and "image/gif" are supported. Wildcards are not supported. """ content = _messages.BytesField(1) gcsSource = _messages.MessageField('GoogleCloudVisionV1p3beta1GcsSource', 2) mimeType = _messages.StringField(3) class GoogleCloudVisionV1p3beta1LocalizedObjectAnnotation(_messages.Message): r"""Set of detected objects with bounding boxes. Fields: boundingPoly: Image region to which this object belongs. This must be populated. languageCode: 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: Object ID that should align with EntityAnnotation mid. name: Object name, expressed in its `language_code` language. score: Score of the result. Range [0, 1]. """ boundingPoly = _messages.MessageField('GoogleCloudVisionV1p3beta1BoundingPoly', 1) languageCode = _messages.StringField(2) mid = _messages.StringField(3) name = _messages.StringField(4) score = _messages.FloatField(5, variant=_messages.Variant.FLOAT) class GoogleCloudVisionV1p3beta1LocationInfo(_messages.Message): r"""Detected entity location information. Fields: latLng: lat/long location coordinates. """ latLng = _messages.MessageField('LatLng', 1) class GoogleCloudVisionV1p3beta1NormalizedVertex(_messages.Message): r"""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. Fields: x: X coordinate. y: Y coordinate. """ x = _messages.FloatField(1, variant=_messages.Variant.FLOAT) y = _messages.FloatField(2, variant=_messages.Variant.FLOAT) class GoogleCloudVisionV1p3beta1OperationMetadata(_messages.Message): r"""Contains metadata for the BatchAnnotateImages operation. Enums: StateValueValuesEnum: Current state of the batch operation. Fields: createTime: The time when the batch request was received. state: Current state of the batch operation. updateTime: The time when the operation result was last updated. """ class StateValueValuesEnum(_messages.Enum): r"""Current state of the batch operation. Values: STATE_UNSPECIFIED: Invalid. CREATED: Request is received. RUNNING: Request is actively being processed. DONE: The batch processing is done. CANCELLED: The batch processing was cancelled. """ STATE_UNSPECIFIED = 0 CREATED = 1 RUNNING = 2 DONE = 3 CANCELLED = 4 createTime = _messages.StringField(1) state = _messages.EnumField('StateValueValuesEnum', 2) updateTime = _messages.StringField(3) class GoogleCloudVisionV1p3beta1OutputConfig(_messages.Message): r"""The desired output location and metadata. Fields: batchSize: 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 to write the output(s) to. """ batchSize = _messages.IntegerField(1, variant=_messages.Variant.INT32) gcsDestination = _messages.MessageField('GoogleCloudVisionV1p3beta1GcsDestination', 2) class GoogleCloudVisionV1p3beta1Page(_messages.Message): r"""Detected page from OCR. Fields: blocks: List of blocks of text, images etc on this page. confidence: Confidence of the OCR results on the page. Range [0, 1]. height: Page height. For PDFs the unit is points. For images (including TIFFs) the unit is pixels. property: Additional information detected on the page. width: Page width. For PDFs the unit is points. For images (including TIFFs) the unit is pixels. """ blocks = _messages.MessageField('GoogleCloudVisionV1p3beta1Block', 1, repeated=True) confidence = _messages.FloatField(2, variant=_messages.Variant.FLOAT) height = _messages.IntegerField(3, variant=_messages.Variant.INT32) property = _messages.MessageField('GoogleCloudVisionV1p3beta1TextAnnotationTextProperty', 4) width = _messages.IntegerField(5, variant=_messages.Variant.INT32) class GoogleCloudVisionV1p3beta1Paragraph(_messages.Message): r"""Structural unit of text representing a number of words in certain order. Fields: boundingBox: 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). confidence: Confidence of the OCR results for the paragraph. Range [0, 1]. property: Additional information detected for the paragraph. words: List of all words in this paragraph. """ boundingBox = _messages.MessageField('GoogleCloudVisionV1p3beta1BoundingPoly', 1) confidence = _messages.FloatField(2, variant=_messages.Variant.FLOAT) property = _messages.MessageField('GoogleCloudVisionV1p3beta1TextAnnotationTextProperty', 3) words = _messages.MessageField('GoogleCloudVisionV1p3beta1Word', 4, repeated=True) class GoogleCloudVisionV1p3beta1Position(_messages.Message): r"""A 3D position in the image, used primarily for Face detection landmarks. A valid Position must have both x and y coordinates. The position coordinates are in the same scale as the original image. Fields: x: X coordinate. y: Y coordinate. z: Z coordinate (or depth). """ x = _messages.FloatField(1, variant=_messages.Variant.FLOAT) y = _messages.FloatField(2, variant=_messages.Variant.FLOAT) z = _messages.FloatField(3, variant=_messages.Variant.FLOAT) class GoogleCloudVisionV1p3beta1Product(_messages.Message): r"""A Product contains ReferenceImages. Fields: description: User-provided metadata to be stored with this product. Must be at most 4096 characters long. displayName: The user-provided name for this Product. Must not be empty. Must be at most 4096 characters long. name: The resource name of the product. Format is: `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID`. This field is ignored when creating a product. productCategory: Immutable. The category for the product identified by the reference image. This should be one of "homegoods-v2", "apparel-v2", "toys-v2", "packagedgoods-v1" or "general-v1". 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. """ description = _messages.StringField(1) displayName = _messages.StringField(2) name = _messages.StringField(3) productCategory = _messages.StringField(4) productLabels = _messages.MessageField('GoogleCloudVisionV1p3beta1ProductKeyValue', 5, repeated=True) class GoogleCloudVisionV1p3beta1ProductKeyValue(_messages.Message): r"""A product label represented as a key-value pair. Fields: key: The key of the label attached to the product. Cannot be empty and cannot exceed 128 bytes. value: The value of the label attached to the product. Cannot be empty and cannot exceed 128 bytes. """ key = _messages.StringField(1) value = _messages.StringField(2) class GoogleCloudVisionV1p3beta1ProductSearchResults(_messages.Message): r"""Results for a product search request. Fields: indexTime: 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. results: List of results, one for each product match. """ indexTime = _messages.StringField(1) productGroupedResults = _messages.MessageField('GoogleCloudVisionV1p3beta1ProductSearchResultsGroupedResult', 2, repeated=True) results = _messages.MessageField('GoogleCloudVisionV1p3beta1ProductSearchResultsResult', 3, repeated=True) class GoogleCloudVisionV1p3beta1ProductSearchResultsGroupedResult(_messages.Message): r"""Information about the products similar to a single product in a query image. Fields: boundingPoly: The bounding polygon around the product detected in the query image. objectAnnotations: List of generic predictions for the object in the bounding box. results: List of results, one for each product match. """ boundingPoly = _messages.MessageField('GoogleCloudVisionV1p3beta1BoundingPoly', 1) objectAnnotations = _messages.MessageField('GoogleCloudVisionV1p3beta1ProductSearchResultsObjectAnnotation', 2, repeated=True) results = _messages.MessageField('GoogleCloudVisionV1p3beta1ProductSearchResultsResult', 3, repeated=True) class GoogleCloudVisionV1p3beta1ProductSearchResultsObjectAnnotation(_messages.Message): r"""Prediction for what the object in the bounding box is. Fields: languageCode: 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: Object ID that should align with EntityAnnotation mid. name: Object name, expressed in its `language_code` language. score: Score of the result. Range [0, 1]. """ languageCode = _messages.StringField(1) mid = _messages.StringField(2) name = _messages.StringField(3) score = _messages.FloatField(4, variant=_messages.Variant.FLOAT) class GoogleCloudVisionV1p3beta1ProductSearchResultsResult(_messages.Message): r"""Information about a product. Fields: image: The resource name of the image from the product that is the closest match to the query. product: The Product. score: A confidence level on the match, ranging from 0 (no confidence) to 1 (full confidence). """ image = _messages.StringField(1) product = _messages.MessageField('GoogleCloudVisionV1p3beta1Product', 2) score = _messages.FloatField(3, variant=_messages.Variant.FLOAT) class GoogleCloudVisionV1p3beta1Property(_messages.Message): r"""A `Property` consists of a user-supplied name/value pair. Fields: name: Name of the property. uint64Value: Value of numeric properties. value: Value of the property. """ name = _messages.StringField(1) uint64Value = _messages.IntegerField(2, variant=_messages.Variant.UINT64) value = _messages.StringField(3) class GoogleCloudVisionV1p3beta1ReferenceImage(_messages.Message): r"""A `ReferenceImage` represents a product image and its associated metadata, such as bounding boxes. Fields: boundingPolys: Optional. Bounding polygons around the areas of interest in the reference image. If this field is empty, the system will try to detect regions of interest. At most 10 bounding polygons will be used. The provided shape is converted into a non-rotated rectangle. Once converted, the small edge of the rectangle must be greater than or equal to 300 pixels. The aspect ratio must be 1:4 or less (i.e. 1:3 is ok; 1:5 is not). name: The resource name of the reference image. Format is: `projects/PROJE CT_ID/locations/LOC_ID/products/PRODUCT_ID/referenceImages/IMAGE_ID`. This field is ignored when creating a reference image. uri: Required. The Google Cloud Storage URI of the reference image. The URI must start with `gs://`. """ boundingPolys = _messages.MessageField('GoogleCloudVisionV1p3beta1BoundingPoly', 1, repeated=True) name = _messages.StringField(2) uri = _messages.StringField(3) class GoogleCloudVisionV1p3beta1SafeSearchAnnotation(_messages.Message): r"""Set of features pertaining to the image, computed by computer vision methods over safe-search verticals (for example, adult, spoof, medical, violence). Enums: AdultValueValuesEnum: Represents the adult content likelihood for the image. Adult content may contain elements such as nudity, pornographic images or cartoons, or sexual activities. MedicalValueValuesEnum: Likelihood that this is a medical image. RacyValueValuesEnum: 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. SpoofValueValuesEnum: Spoof likelihood. The likelihood that an modification was made to the image's canonical version to make it appear funny or offensive. ViolenceValueValuesEnum: Likelihood that this image contains violent content. Violent content may include death, serious harm, or injury to individuals or groups of individuals. Fields: adult: Represents the adult content likelihood for the image. Adult content may contain elements such as nudity, pornographic images or cartoons, or sexual activities. medical: Likelihood that this is a medical image. racy: Likelihood that the request image contains racy content. Racy content may include (but is not limited to) skimpy or sheer clothing, strategically covered nudity, lewd or provocative poses, or close-ups of sensitive body areas. spoof: Spoof likelihood. The likelihood that an modification was made to the image's canonical version to make it appear funny or offensive. violence: Likelihood that this image contains violent content. Violent content may include death, serious harm, or injury to individuals or groups of individuals. """ class AdultValueValuesEnum(_messages.Enum): r"""Represents the adult content likelihood for the image. Adult content may contain elements such as nudity, pornographic images or cartoons, or sexual activities. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 class MedicalValueValuesEnum(_messages.Enum): r"""Likelihood that this is a medical image. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 class RacyValueValuesEnum(_messages.Enum): r"""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. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 class SpoofValueValuesEnum(_messages.Enum): r"""Spoof likelihood. The likelihood that an modification was made to the image's canonical version to make it appear funny or offensive. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 class ViolenceValueValuesEnum(_messages.Enum): r"""Likelihood that this image contains violent content. Violent content may include death, serious harm, or injury to individuals or groups of individuals. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 adult = _messages.EnumField('AdultValueValuesEnum', 1) medical = _messages.EnumField('MedicalValueValuesEnum', 2) racy = _messages.EnumField('RacyValueValuesEnum', 3) spoof = _messages.EnumField('SpoofValueValuesEnum', 4) violence = _messages.EnumField('ViolenceValueValuesEnum', 5) class GoogleCloudVisionV1p3beta1Symbol(_messages.Message): r"""A single symbol representation. Fields: boundingBox: 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 vertex order will still be (0, 1, 2, 3). confidence: Confidence of the OCR results for the symbol. Range [0, 1]. property: Additional information detected for the symbol. text: The actual UTF-8 representation of the symbol. """ boundingBox = _messages.MessageField('GoogleCloudVisionV1p3beta1BoundingPoly', 1) confidence = _messages.FloatField(2, variant=_messages.Variant.FLOAT) property = _messages.MessageField('GoogleCloudVisionV1p3beta1TextAnnotationTextProperty', 3) text = _messages.StringField(4) class GoogleCloudVisionV1p3beta1TextAnnotation(_messages.Message): r"""TextAnnotation contains a structured representation of OCR extracted text. The hierarchy of an OCR extracted text structure is like this: TextAnnotation -> Page -> Block -> Paragraph -> Word -> Symbol Each structural component, starting from Page, may further have their own properties. Properties describe detected languages, breaks etc.. Please refer to the TextAnnotation.TextProperty message definition below for more detail. Fields: pages: List of pages detected by OCR. text: UTF-8 text detected on the pages. """ pages = _messages.MessageField('GoogleCloudVisionV1p3beta1Page', 1, repeated=True) text = _messages.StringField(2) class GoogleCloudVisionV1p3beta1TextAnnotationDetectedBreak(_messages.Message): r"""Detected start or end of a structural component. Enums: TypeValueValuesEnum: Detected break type. Fields: isPrefix: True if break prepends the element. type: Detected break type. """ class TypeValueValuesEnum(_messages.Enum): r"""Detected break type. Values: UNKNOWN: Unknown break label type. SPACE: Regular space. SURE_SPACE: Sure space (very wide). EOL_SURE_SPACE: Line-wrapping break. HYPHEN: End-line hyphen that is not present in text; does not co-occur with `SPACE`, `LEADER_SPACE`, or `LINE_BREAK`. LINE_BREAK: Line break that ends a paragraph. """ UNKNOWN = 0 SPACE = 1 SURE_SPACE = 2 EOL_SURE_SPACE = 3 HYPHEN = 4 LINE_BREAK = 5 isPrefix = _messages.BooleanField(1) type = _messages.EnumField('TypeValueValuesEnum', 2) class GoogleCloudVisionV1p3beta1TextAnnotationDetectedLanguage(_messages.Message): r"""Detected language for a structural component. Fields: confidence: Confidence of detected language. Range [0, 1]. languageCode: 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 = _messages.FloatField(1, variant=_messages.Variant.FLOAT) languageCode = _messages.StringField(2) class GoogleCloudVisionV1p3beta1TextAnnotationTextProperty(_messages.Message): r"""Additional information detected on the structural component. Fields: detectedBreak: Detected start or end of a text segment. detectedLanguages: A list of detected languages together with confidence. """ detectedBreak = _messages.MessageField('GoogleCloudVisionV1p3beta1TextAnnotationDetectedBreak', 1) detectedLanguages = _messages.MessageField('GoogleCloudVisionV1p3beta1TextAnnotationDetectedLanguage', 2, repeated=True) class GoogleCloudVisionV1p3beta1Vertex(_messages.Message): r"""A vertex represents a 2D point in the image. NOTE: the vertex coordinates are in the same scale as the original image. Fields: x: X coordinate. y: Y coordinate. """ x = _messages.IntegerField(1, variant=_messages.Variant.INT32) y = _messages.IntegerField(2, variant=_messages.Variant.INT32) class GoogleCloudVisionV1p3beta1WebDetection(_messages.Message): r"""Relevant information for the image from the Internet. Fields: bestGuessLabels: The service's best guess as to the topic of the request image. Inferred from similar images on the open web. fullMatchingImages: Fully matching images from the Internet. Can include resized copies of the query image. pagesWithMatchingImages: Web pages containing the matching images from the Internet. 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. visuallySimilarImages: The visually similar image results. webEntities: Deduced entities from similar images on the Internet. """ bestGuessLabels = _messages.MessageField('GoogleCloudVisionV1p3beta1WebDetectionWebLabel', 1, repeated=True) fullMatchingImages = _messages.MessageField('GoogleCloudVisionV1p3beta1WebDetectionWebImage', 2, repeated=True) pagesWithMatchingImages = _messages.MessageField('GoogleCloudVisionV1p3beta1WebDetectionWebPage', 3, repeated=True) partialMatchingImages = _messages.MessageField('GoogleCloudVisionV1p3beta1WebDetectionWebImage', 4, repeated=True) visuallySimilarImages = _messages.MessageField('GoogleCloudVisionV1p3beta1WebDetectionWebImage', 5, repeated=True) webEntities = _messages.MessageField('GoogleCloudVisionV1p3beta1WebDetectionWebEntity', 6, repeated=True) class GoogleCloudVisionV1p3beta1WebDetectionWebEntity(_messages.Message): r"""Entity deduced from similar images on the Internet. Fields: description: Canonical description of the entity, in English. entityId: Opaque entity ID. score: Overall relevancy score for the entity. Not normalized and not comparable across different image queries. """ description = _messages.StringField(1) entityId = _messages.StringField(2) score = _messages.FloatField(3, variant=_messages.Variant.FLOAT) class GoogleCloudVisionV1p3beta1WebDetectionWebImage(_messages.Message): r"""Metadata for online images. Fields: score: (Deprecated) Overall relevancy score for the image. url: The result image URL. """ score = _messages.FloatField(1, variant=_messages.Variant.FLOAT) url = _messages.StringField(2) class GoogleCloudVisionV1p3beta1WebDetectionWebLabel(_messages.Message): r"""Label to provide extra metadata for the web detection. Fields: label: Label for extra metadata. languageCode: 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 = _messages.StringField(1) languageCode = _messages.StringField(2) class GoogleCloudVisionV1p3beta1WebDetectionWebPage(_messages.Message): r"""Metadata for web pages. Fields: fullMatchingImages: Fully matching images on the page. Can include resized copies of the query image. pageTitle: Title for the web page, may contain HTML markups. 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. score: (Deprecated) Overall relevancy score for the web page. url: The result web page URL. """ fullMatchingImages = _messages.MessageField('GoogleCloudVisionV1p3beta1WebDetectionWebImage', 1, repeated=True) pageTitle = _messages.StringField(2) partialMatchingImages = _messages.MessageField('GoogleCloudVisionV1p3beta1WebDetectionWebImage', 3, repeated=True) score = _messages.FloatField(4, variant=_messages.Variant.FLOAT) url = _messages.StringField(5) class GoogleCloudVisionV1p3beta1Word(_messages.Message): r"""A word representation. Fields: boundingBox: 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). confidence: Confidence of the OCR results for the word. Range [0, 1]. property: Additional information detected for the word. symbols: List of symbols in the word. The order of the symbols follows the natural reading order. """ boundingBox = _messages.MessageField('GoogleCloudVisionV1p3beta1BoundingPoly', 1) confidence = _messages.FloatField(2, variant=_messages.Variant.FLOAT) property = _messages.MessageField('GoogleCloudVisionV1p3beta1TextAnnotationTextProperty', 3) symbols = _messages.MessageField('GoogleCloudVisionV1p3beta1Symbol', 4, repeated=True) class GoogleCloudVisionV1p4beta1AnnotateFileResponse(_messages.Message): r"""Response to a single file annotation request. A file may contain one or more images, which individually have their own responses. Fields: error: If set, represents the error message for the failed request. The `responses` field will not be set in this case. inputConfig: Information about the file for which this response is generated. responses: Individual responses to images found within the file. This field will be empty if the `error` field is set. totalPages: This field gives the total number of pages in the file. """ error = _messages.MessageField('Status', 1) inputConfig = _messages.MessageField('GoogleCloudVisionV1p4beta1InputConfig', 2) responses = _messages.MessageField('GoogleCloudVisionV1p4beta1AnnotateImageResponse', 3, repeated=True) totalPages = _messages.IntegerField(4, variant=_messages.Variant.INT32) class GoogleCloudVisionV1p4beta1AnnotateImageResponse(_messages.Message): r"""Response to an image annotation request. Fields: context: If present, contextual information is needed to understand where this image comes from. cropHintsAnnotation: If present, crop hints have completed successfully. error: If set, represents the error message for the operation. Note that filled-in image annotations are guaranteed to be correct, even when `error` is set. faceAnnotations: If present, face detection has completed successfully. fullTextAnnotation: If present, text (OCR) detection or document (OCR) text detection has completed successfully. This annotation provides the structural hierarchy for the OCR detected text. imagePropertiesAnnotation: If present, image properties were extracted successfully. labelAnnotations: If present, label detection has completed successfully. landmarkAnnotations: If present, landmark detection has completed successfully. localizedObjectAnnotations: If present, localized object detection has completed successfully. This will be sorted descending by confidence score. logoAnnotations: If present, logo detection has completed successfully. productSearchResults: If present, product search has completed successfully. safeSearchAnnotation: If present, safe-search annotation has completed successfully. textAnnotations: If present, text (OCR) detection has completed successfully. webDetection: If present, web detection has completed successfully. """ context = _messages.MessageField('GoogleCloudVisionV1p4beta1ImageAnnotationContext', 1) cropHintsAnnotation = _messages.MessageField('GoogleCloudVisionV1p4beta1CropHintsAnnotation', 2) error = _messages.MessageField('Status', 3) faceAnnotations = _messages.MessageField('GoogleCloudVisionV1p4beta1FaceAnnotation', 4, repeated=True) fullTextAnnotation = _messages.MessageField('GoogleCloudVisionV1p4beta1TextAnnotation', 5) imagePropertiesAnnotation = _messages.MessageField('GoogleCloudVisionV1p4beta1ImageProperties', 6) labelAnnotations = _messages.MessageField('GoogleCloudVisionV1p4beta1EntityAnnotation', 7, repeated=True) landmarkAnnotations = _messages.MessageField('GoogleCloudVisionV1p4beta1EntityAnnotation', 8, repeated=True) localizedObjectAnnotations = _messages.MessageField('GoogleCloudVisionV1p4beta1LocalizedObjectAnnotation', 9, repeated=True) logoAnnotations = _messages.MessageField('GoogleCloudVisionV1p4beta1EntityAnnotation', 10, repeated=True) productSearchResults = _messages.MessageField('GoogleCloudVisionV1p4beta1ProductSearchResults', 11) safeSearchAnnotation = _messages.MessageField('GoogleCloudVisionV1p4beta1SafeSearchAnnotation', 12) textAnnotations = _messages.MessageField('GoogleCloudVisionV1p4beta1EntityAnnotation', 13, repeated=True) webDetection = _messages.MessageField('GoogleCloudVisionV1p4beta1WebDetection', 14) class GoogleCloudVisionV1p4beta1AsyncAnnotateFileResponse(_messages.Message): r"""The response for a single offline file annotation request. Fields: outputConfig: The output location and metadata from AsyncAnnotateFileRequest. """ outputConfig = _messages.MessageField('GoogleCloudVisionV1p4beta1OutputConfig', 1) class GoogleCloudVisionV1p4beta1AsyncBatchAnnotateFilesResponse(_messages.Message): r"""Response to an async batch file annotation request. Fields: responses: The list of file annotation responses, one for each request in AsyncBatchAnnotateFilesRequest. """ responses = _messages.MessageField('GoogleCloudVisionV1p4beta1AsyncAnnotateFileResponse', 1, repeated=True) class GoogleCloudVisionV1p4beta1AsyncBatchAnnotateImagesResponse(_messages.Message): r"""Response to an async batch image annotation request. Fields: outputConfig: The output location and metadata from AsyncBatchAnnotateImagesRequest. """ outputConfig = _messages.MessageField('GoogleCloudVisionV1p4beta1OutputConfig', 1) class GoogleCloudVisionV1p4beta1BatchAnnotateFilesResponse(_messages.Message): r"""A list of file annotation responses. Fields: responses: The list of file annotation responses, each response corresponding to each AnnotateFileRequest in BatchAnnotateFilesRequest. """ responses = _messages.MessageField('GoogleCloudVisionV1p4beta1AnnotateFileResponse', 1, repeated=True) class GoogleCloudVisionV1p4beta1BatchOperationMetadata(_messages.Message): r"""Metadata for the batch operations such as the current state. This is included in the `metadata` field of the `Operation` returned by the `GetOperation` call of the `google::longrunning::Operations` service. Enums: StateValueValuesEnum: The current state of the batch operation. Fields: endTime: The time when the batch request is finished and google.longrunning.Operation.done is set to true. state: The current state of the batch operation. submitTime: The time when the batch request was submitted to the server. """ class StateValueValuesEnum(_messages.Enum): r"""The current state of the batch operation. Values: STATE_UNSPECIFIED: Invalid. PROCESSING: Request is actively being processed. SUCCESSFUL: The request is done and at least one item has been successfully processed. FAILED: The request is done and no item has been successfully processed. CANCELLED: The request is done after the longrunning.Operations.CancelOperation has been called by the user. Any records that were processed before the cancel command are output as specified in the request. """ STATE_UNSPECIFIED = 0 PROCESSING = 1 SUCCESSFUL = 2 FAILED = 3 CANCELLED = 4 endTime = _messages.StringField(1) state = _messages.EnumField('StateValueValuesEnum', 2) submitTime = _messages.StringField(3) class GoogleCloudVisionV1p4beta1Block(_messages.Message): r"""Logical element on the page. Enums: BlockTypeValueValuesEnum: Detected block type (text, image etc) for this block. Fields: blockType: Detected block type (text, image etc) for this block. boundingBox: 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). confidence: 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). property: Additional information detected for the block. """ class BlockTypeValueValuesEnum(_messages.Enum): r"""Detected block type (text, image etc) for this block. Values: UNKNOWN: Unknown block type. TEXT: Regular text block. TABLE: Table block. PICTURE: Image block. RULER: Horizontal/vertical line box. BARCODE: Barcode block. """ UNKNOWN = 0 TEXT = 1 TABLE = 2 PICTURE = 3 RULER = 4 BARCODE = 5 blockType = _messages.EnumField('BlockTypeValueValuesEnum', 1) boundingBox = _messages.MessageField('GoogleCloudVisionV1p4beta1BoundingPoly', 2) confidence = _messages.FloatField(3, variant=_messages.Variant.FLOAT) paragraphs = _messages.MessageField('GoogleCloudVisionV1p4beta1Paragraph', 4, repeated=True) property = _messages.MessageField('GoogleCloudVisionV1p4beta1TextAnnotationTextProperty', 5) class GoogleCloudVisionV1p4beta1BoundingPoly(_messages.Message): r"""A bounding polygon for the detected image annotation. Fields: normalizedVertices: The bounding polygon normalized vertices. vertices: The bounding polygon vertices. """ normalizedVertices = _messages.MessageField('GoogleCloudVisionV1p4beta1NormalizedVertex', 1, repeated=True) vertices = _messages.MessageField('GoogleCloudVisionV1p4beta1Vertex', 2, repeated=True) class GoogleCloudVisionV1p4beta1Celebrity(_messages.Message): r"""A Celebrity is a group of Faces with an identity. Fields: description: The Celebrity's description. displayName: The Celebrity's display name. name: The resource name of the preloaded Celebrity. Has the format `builtin/{mid}`. """ description = _messages.StringField(1) displayName = _messages.StringField(2) name = _messages.StringField(3) class GoogleCloudVisionV1p4beta1ColorInfo(_messages.Message): r"""Color information consists of RGB channels, score, and the fraction of the image that the color occupies in the image. Fields: color: RGB components of the color. pixelFraction: The fraction of pixels the color occupies in the image. Value in range [0, 1]. score: Image-specific score for this color. Value in range [0, 1]. """ color = _messages.MessageField('Color', 1) pixelFraction = _messages.FloatField(2, variant=_messages.Variant.FLOAT) score = _messages.FloatField(3, variant=_messages.Variant.FLOAT) class GoogleCloudVisionV1p4beta1CropHint(_messages.Message): r"""Single crop hint that is used to generate a new crop when serving an image. Fields: boundingPoly: The bounding polygon for the crop region. The coordinates of the bounding box are in the original image's scale. confidence: Confidence of this being a salient region. Range [0, 1]. importanceFraction: Fraction of importance of this salient region with respect to the original image. """ boundingPoly = _messages.MessageField('GoogleCloudVisionV1p4beta1BoundingPoly', 1) confidence = _messages.FloatField(2, variant=_messages.Variant.FLOAT) importanceFraction = _messages.FloatField(3, variant=_messages.Variant.FLOAT) class GoogleCloudVisionV1p4beta1CropHintsAnnotation(_messages.Message): r"""Set of crop hints that are used to generate new crops when serving images. Fields: cropHints: Crop hint results. """ cropHints = _messages.MessageField('GoogleCloudVisionV1p4beta1CropHint', 1, repeated=True) class GoogleCloudVisionV1p4beta1DominantColorsAnnotation(_messages.Message): r"""Set of dominant colors and their corresponding scores. Fields: colors: RGB color values with their score and pixel fraction. """ colors = _messages.MessageField('GoogleCloudVisionV1p4beta1ColorInfo', 1, repeated=True) class GoogleCloudVisionV1p4beta1EntityAnnotation(_messages.Message): r"""Set of detected entity features. Fields: boundingPoly: Image region to which this entity belongs. Not produced for `LABEL_DETECTION` features. confidence: **Deprecated. Use `score` instead.** The accuracy of the entity detection in an image. For example, for an image in which the "Eiffel Tower" entity is detected, this field represents the confidence that there is a tower in the query image. Range [0, 1]. description: Entity textual description, expressed in its `locale` language. locale: The language code for the locale in which the entity textual `description` is expressed. 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. mid: Opaque entity ID. Some IDs may be available in [Google Knowledge Graph Search API](https://developers.google.com/knowledge-graph/). properties: Some entities may have optional user-supplied `Property` (name/value) fields, such a score or string that qualifies the entity. score: Overall score of the result. Range [0, 1]. topicality: The relevancy of the ICA (Image Content Annotation) label to the image. For example, the relevancy of "tower" is likely higher to an image containing the detected "Eiffel Tower" than to an image containing a detected distant towering building, even though the confidence that there is a tower in each image may be the same. Range [0, 1]. """ boundingPoly = _messages.MessageField('GoogleCloudVisionV1p4beta1BoundingPoly', 1) confidence = _messages.FloatField(2, variant=_messages.Variant.FLOAT) description = _messages.StringField(3) locale = _messages.StringField(4) locations = _messages.MessageField('GoogleCloudVisionV1p4beta1LocationInfo', 5, repeated=True) mid = _messages.StringField(6) properties = _messages.MessageField('GoogleCloudVisionV1p4beta1Property', 7, repeated=True) score = _messages.FloatField(8, variant=_messages.Variant.FLOAT) topicality = _messages.FloatField(9, variant=_messages.Variant.FLOAT) class GoogleCloudVisionV1p4beta1FaceAnnotation(_messages.Message): r"""A face annotation object contains the results of face detection. Enums: AngerLikelihoodValueValuesEnum: Anger likelihood. BlurredLikelihoodValueValuesEnum: Blurred likelihood. HeadwearLikelihoodValueValuesEnum: Headwear likelihood. JoyLikelihoodValueValuesEnum: Joy likelihood. SorrowLikelihoodValueValuesEnum: Sorrow likelihood. SurpriseLikelihoodValueValuesEnum: Surprise likelihood. UnderExposedLikelihoodValueValuesEnum: Under-exposed likelihood. Fields: angerLikelihood: Anger likelihood. blurredLikelihood: Blurred likelihood. boundingPoly: 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. detectionConfidence: Detection confidence. Range [0, 1]. fdBoundingPoly: The `fd_bounding_poly` bounding polygon is tighter than the `boundingPoly`, and encloses only the skin part of the face. Typically, it is used to eliminate the face from any image analysis that detects the "amount of skin" visible in an image. It is not based on the landmarker results, only on the initial face detection, hence the fd (face detection) prefix. headwearLikelihood: Headwear likelihood. joyLikelihood: Joy likelihood. landmarkingConfidence: Face landmarking confidence. Range [0, 1]. landmarks: Detected face landmarks. panAngle: 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]. recognitionResult: Additional recognition information. Only computed if image_context.face_recognition_params is provided, **and** a match is found to a Celebrity in the input CelebritySet. This field is sorted in order of decreasing confidence values. rollAngle: 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: Sorrow likelihood. surpriseLikelihood: Surprise likelihood. tiltAngle: Pitch angle, which indicates the upwards/downwards angle that the face is pointing relative to the image's horizontal plane. Range [-180,180]. underExposedLikelihood: Under-exposed likelihood. """ class AngerLikelihoodValueValuesEnum(_messages.Enum): r"""Anger likelihood. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 class BlurredLikelihoodValueValuesEnum(_messages.Enum): r"""Blurred likelihood. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 class HeadwearLikelihoodValueValuesEnum(_messages.Enum): r"""Headwear likelihood. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 class JoyLikelihoodValueValuesEnum(_messages.Enum): r"""Joy likelihood. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 class SorrowLikelihoodValueValuesEnum(_messages.Enum): r"""Sorrow likelihood. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 class SurpriseLikelihoodValueValuesEnum(_messages.Enum): r"""Surprise likelihood. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 class UnderExposedLikelihoodValueValuesEnum(_messages.Enum): r"""Under-exposed likelihood. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 angerLikelihood = _messages.EnumField('AngerLikelihoodValueValuesEnum', 1) blurredLikelihood = _messages.EnumField('BlurredLikelihoodValueValuesEnum', 2) boundingPoly = _messages.MessageField('GoogleCloudVisionV1p4beta1BoundingPoly', 3) detectionConfidence = _messages.FloatField(4, variant=_messages.Variant.FLOAT) fdBoundingPoly = _messages.MessageField('GoogleCloudVisionV1p4beta1BoundingPoly', 5) headwearLikelihood = _messages.EnumField('HeadwearLikelihoodValueValuesEnum', 6) joyLikelihood = _messages.EnumField('JoyLikelihoodValueValuesEnum', 7) landmarkingConfidence = _messages.FloatField(8, variant=_messages.Variant.FLOAT) landmarks = _messages.MessageField('GoogleCloudVisionV1p4beta1FaceAnnotationLandmark', 9, repeated=True) panAngle = _messages.FloatField(10, variant=_messages.Variant.FLOAT) recognitionResult = _messages.MessageField('GoogleCloudVisionV1p4beta1FaceRecognitionResult', 11, repeated=True) rollAngle = _messages.FloatField(12, variant=_messages.Variant.FLOAT) sorrowLikelihood = _messages.EnumField('SorrowLikelihoodValueValuesEnum', 13) surpriseLikelihood = _messages.EnumField('SurpriseLikelihoodValueValuesEnum', 14) tiltAngle = _messages.FloatField(15, variant=_messages.Variant.FLOAT) underExposedLikelihood = _messages.EnumField('UnderExposedLikelihoodValueValuesEnum', 16) class GoogleCloudVisionV1p4beta1FaceAnnotationLandmark(_messages.Message): r"""A face-specific landmark (for example, a face feature). Landmark positions may fall outside the bounds of the image if the face is near one or more edges of the image. Therefore it is NOT guaranteed that `0 <= x < width` or `0 <= y < height`. Enums: TypeValueValuesEnum: Face landmark type. Fields: position: Face landmark position. type: Face landmark type. """ class TypeValueValuesEnum(_messages.Enum): r"""Face landmark type. Values: UNKNOWN_LANDMARK: Unknown face landmark detected. Should not be filled. LEFT_EYE: Left eye. RIGHT_EYE: Right eye. LEFT_OF_LEFT_EYEBROW: Left of left eyebrow. RIGHT_OF_LEFT_EYEBROW: Right of left eyebrow. LEFT_OF_RIGHT_EYEBROW: Left of right eyebrow. RIGHT_OF_RIGHT_EYEBROW: Right of right eyebrow. MIDPOINT_BETWEEN_EYES: Midpoint between eyes. NOSE_TIP: Nose tip. UPPER_LIP: Upper lip. LOWER_LIP: Lower lip. MOUTH_LEFT: Mouth left. MOUTH_RIGHT: Mouth right. MOUTH_CENTER: Mouth center. NOSE_BOTTOM_RIGHT: Nose, bottom right. NOSE_BOTTOM_LEFT: Nose, bottom left. NOSE_BOTTOM_CENTER: Nose, bottom center. LEFT_EYE_TOP_BOUNDARY: Left eye, top boundary. LEFT_EYE_RIGHT_CORNER: Left eye, right corner. LEFT_EYE_BOTTOM_BOUNDARY: Left eye, bottom boundary. LEFT_EYE_LEFT_CORNER: Left eye, left corner. RIGHT_EYE_TOP_BOUNDARY: Right eye, top boundary. RIGHT_EYE_RIGHT_CORNER: Right eye, right corner. RIGHT_EYE_BOTTOM_BOUNDARY: Right eye, bottom boundary. RIGHT_EYE_LEFT_CORNER: Right eye, left corner. LEFT_EYEBROW_UPPER_MIDPOINT: Left eyebrow, upper midpoint. RIGHT_EYEBROW_UPPER_MIDPOINT: Right eyebrow, upper midpoint. LEFT_EAR_TRAGION: Left ear tragion. RIGHT_EAR_TRAGION: Right ear tragion. LEFT_EYE_PUPIL: Left eye pupil. RIGHT_EYE_PUPIL: Right eye pupil. FOREHEAD_GLABELLA: Forehead glabella. CHIN_GNATHION: Chin gnathion. CHIN_LEFT_GONION: Chin left gonion. CHIN_RIGHT_GONION: Chin right gonion. LEFT_CHEEK_CENTER: Left cheek center. RIGHT_CHEEK_CENTER: Right cheek center. """ UNKNOWN_LANDMARK = 0 LEFT_EYE = 1 RIGHT_EYE = 2 LEFT_OF_LEFT_EYEBROW = 3 RIGHT_OF_LEFT_EYEBROW = 4 LEFT_OF_RIGHT_EYEBROW = 5 RIGHT_OF_RIGHT_EYEBROW = 6 MIDPOINT_BETWEEN_EYES = 7 NOSE_TIP = 8 UPPER_LIP = 9 LOWER_LIP = 10 MOUTH_LEFT = 11 MOUTH_RIGHT = 12 MOUTH_CENTER = 13 NOSE_BOTTOM_RIGHT = 14 NOSE_BOTTOM_LEFT = 15 NOSE_BOTTOM_CENTER = 16 LEFT_EYE_TOP_BOUNDARY = 17 LEFT_EYE_RIGHT_CORNER = 18 LEFT_EYE_BOTTOM_BOUNDARY = 19 LEFT_EYE_LEFT_CORNER = 20 RIGHT_EYE_TOP_BOUNDARY = 21 RIGHT_EYE_RIGHT_CORNER = 22 RIGHT_EYE_BOTTOM_BOUNDARY = 23 RIGHT_EYE_LEFT_CORNER = 24 LEFT_EYEBROW_UPPER_MIDPOINT = 25 RIGHT_EYEBROW_UPPER_MIDPOINT = 26 LEFT_EAR_TRAGION = 27 RIGHT_EAR_TRAGION = 28 LEFT_EYE_PUPIL = 29 RIGHT_EYE_PUPIL = 30 FOREHEAD_GLABELLA = 31 CHIN_GNATHION = 32 CHIN_LEFT_GONION = 33 CHIN_RIGHT_GONION = 34 LEFT_CHEEK_CENTER = 35 RIGHT_CHEEK_CENTER = 36 position = _messages.MessageField('GoogleCloudVisionV1p4beta1Position', 1) type = _messages.EnumField('TypeValueValuesEnum', 2) class GoogleCloudVisionV1p4beta1FaceRecognitionResult(_messages.Message): r"""Information about a face's identity. Fields: celebrity: The Celebrity that this face was matched to. confidence: Recognition confidence. Range [0, 1]. """ celebrity = _messages.MessageField('GoogleCloudVisionV1p4beta1Celebrity', 1) confidence = _messages.FloatField(2, variant=_messages.Variant.FLOAT) class GoogleCloudVisionV1p4beta1GcsDestination(_messages.Message): r"""The Google Cloud Storage location where the output will be written to. Fields: uri: Google Cloud Storage URI prefix where the results will be stored. Results will be in JSON format and preceded by its corresponding input URI prefix. This field can either represent a gcs file prefix or gcs directory. In either case, the uri should be unique because in order to get all of the output files, you will need to do a wildcard gcs search on the uri prefix you provide. Examples: * File Prefix: gs://bucket- name/here/filenameprefix The output files will be created in gs://bucket-name/here/ and the names of the output files will begin with "filenameprefix". * Directory Prefix: gs://bucket-name/some/location/ The output files will be created in gs://bucket-name/some/location/ and the names of the output files could be anything because there was no filename prefix specified. If multiple outputs, each response is still AnnotateFileResponse, each of which contains some subset of the full list of AnnotateImageResponse. Multiple outputs can happen if, for example, the output JSON is too large and overflows into multiple sharded files. """ uri = _messages.StringField(1) class GoogleCloudVisionV1p4beta1GcsSource(_messages.Message): r"""The Google Cloud Storage location where the input will be read from. Fields: uri: Google Cloud Storage URI for the input file. This must only be a Google Cloud Storage object. Wildcards are not currently supported. """ uri = _messages.StringField(1) class GoogleCloudVisionV1p4beta1ImageAnnotationContext(_messages.Message): r"""If an image was produced from a file (e.g. a PDF), this message gives information about the source of that image. Fields: pageNumber: If the file was a PDF or TIFF, this field gives the page number within the file used to produce the image. uri: The URI of the file used to produce the image. """ pageNumber = _messages.IntegerField(1, variant=_messages.Variant.INT32) uri = _messages.StringField(2) class GoogleCloudVisionV1p4beta1ImageProperties(_messages.Message): r"""Stores image properties, such as dominant colors. Fields: dominantColors: If present, dominant colors completed successfully. """ dominantColors = _messages.MessageField('GoogleCloudVisionV1p4beta1DominantColorsAnnotation', 1) class GoogleCloudVisionV1p4beta1ImportProductSetsResponse(_messages.Message): r"""Response message for the `ImportProductSets` method. This message is returned by the google.longrunning.Operations.GetOperation method in the returned google.longrunning.Operation.response field. Fields: referenceImages: The list of reference_images that are imported successfully. statuses: The rpc status for each ImportProductSet request, including both successes and errors. The number of statuses here matches the number of lines in the csv file, and statuses[i] stores the success or failure status of processing the i-th line of the csv, starting from line 0. """ referenceImages = _messages.MessageField('GoogleCloudVisionV1p4beta1ReferenceImage', 1, repeated=True) statuses = _messages.MessageField('Status', 2, repeated=True) class GoogleCloudVisionV1p4beta1InputConfig(_messages.Message): r"""The desired input location and metadata. Fields: content: File content, represented as a stream of bytes. Note: As with all `bytes` fields, protobuffers use a pure binary representation, whereas JSON representations use base64. Currently, this field only works for BatchAnnotateFiles requests. It does not work for AsyncBatchAnnotateFiles requests. gcsSource: The Google Cloud Storage location to read the input from. mimeType: The type of the file. Currently only "application/pdf", "image/tiff" and "image/gif" are supported. Wildcards are not supported. """ content = _messages.BytesField(1) gcsSource = _messages.MessageField('GoogleCloudVisionV1p4beta1GcsSource', 2) mimeType = _messages.StringField(3) class GoogleCloudVisionV1p4beta1LocalizedObjectAnnotation(_messages.Message): r"""Set of detected objects with bounding boxes. Fields: boundingPoly: Image region to which this object belongs. This must be populated. languageCode: 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: Object ID that should align with EntityAnnotation mid. name: Object name, expressed in its `language_code` language. score: Score of the result. Range [0, 1]. """ boundingPoly = _messages.MessageField('GoogleCloudVisionV1p4beta1BoundingPoly', 1) languageCode = _messages.StringField(2) mid = _messages.StringField(3) name = _messages.StringField(4) score = _messages.FloatField(5, variant=_messages.Variant.FLOAT) class GoogleCloudVisionV1p4beta1LocationInfo(_messages.Message): r"""Detected entity location information. Fields: latLng: lat/long location coordinates. """ latLng = _messages.MessageField('LatLng', 1) class GoogleCloudVisionV1p4beta1NormalizedVertex(_messages.Message): r"""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. Fields: x: X coordinate. y: Y coordinate. """ x = _messages.FloatField(1, variant=_messages.Variant.FLOAT) y = _messages.FloatField(2, variant=_messages.Variant.FLOAT) class GoogleCloudVisionV1p4beta1OperationMetadata(_messages.Message): r"""Contains metadata for the BatchAnnotateImages operation. Enums: StateValueValuesEnum: Current state of the batch operation. Fields: createTime: The time when the batch request was received. state: Current state of the batch operation. updateTime: The time when the operation result was last updated. """ class StateValueValuesEnum(_messages.Enum): r"""Current state of the batch operation. Values: STATE_UNSPECIFIED: Invalid. CREATED: Request is received. RUNNING: Request is actively being processed. DONE: The batch processing is done. CANCELLED: The batch processing was cancelled. """ STATE_UNSPECIFIED = 0 CREATED = 1 RUNNING = 2 DONE = 3 CANCELLED = 4 createTime = _messages.StringField(1) state = _messages.EnumField('StateValueValuesEnum', 2) updateTime = _messages.StringField(3) class GoogleCloudVisionV1p4beta1OutputConfig(_messages.Message): r"""The desired output location and metadata. Fields: batchSize: 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 to write the output(s) to. """ batchSize = _messages.IntegerField(1, variant=_messages.Variant.INT32) gcsDestination = _messages.MessageField('GoogleCloudVisionV1p4beta1GcsDestination', 2) class GoogleCloudVisionV1p4beta1Page(_messages.Message): r"""Detected page from OCR. Fields: blocks: List of blocks of text, images etc on this page. confidence: Confidence of the OCR results on the page. Range [0, 1]. height: Page height. For PDFs the unit is points. For images (including TIFFs) the unit is pixels. property: Additional information detected on the page. width: Page width. For PDFs the unit is points. For images (including TIFFs) the unit is pixels. """ blocks = _messages.MessageField('GoogleCloudVisionV1p4beta1Block', 1, repeated=True) confidence = _messages.FloatField(2, variant=_messages.Variant.FLOAT) height = _messages.IntegerField(3, variant=_messages.Variant.INT32) property = _messages.MessageField('GoogleCloudVisionV1p4beta1TextAnnotationTextProperty', 4) width = _messages.IntegerField(5, variant=_messages.Variant.INT32) class GoogleCloudVisionV1p4beta1Paragraph(_messages.Message): r"""Structural unit of text representing a number of words in certain order. Fields: boundingBox: 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). confidence: Confidence of the OCR results for the paragraph. Range [0, 1]. property: Additional information detected for the paragraph. words: List of all words in this paragraph. """ boundingBox = _messages.MessageField('GoogleCloudVisionV1p4beta1BoundingPoly', 1) confidence = _messages.FloatField(2, variant=_messages.Variant.FLOAT) property = _messages.MessageField('GoogleCloudVisionV1p4beta1TextAnnotationTextProperty', 3) words = _messages.MessageField('GoogleCloudVisionV1p4beta1Word', 4, repeated=True) class GoogleCloudVisionV1p4beta1Position(_messages.Message): r"""A 3D position in the image, used primarily for Face detection landmarks. A valid Position must have both x and y coordinates. The position coordinates are in the same scale as the original image. Fields: x: X coordinate. y: Y coordinate. z: Z coordinate (or depth). """ x = _messages.FloatField(1, variant=_messages.Variant.FLOAT) y = _messages.FloatField(2, variant=_messages.Variant.FLOAT) z = _messages.FloatField(3, variant=_messages.Variant.FLOAT) class GoogleCloudVisionV1p4beta1Product(_messages.Message): r"""A Product contains ReferenceImages. Fields: description: User-provided metadata to be stored with this product. Must be at most 4096 characters long. displayName: The user-provided name for this Product. Must not be empty. Must be at most 4096 characters long. name: The resource name of the product. Format is: `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID`. This field is ignored when creating a product. productCategory: Immutable. The category for the product identified by the reference image. This should be one of "homegoods-v2", "apparel-v2", "toys-v2", "packagedgoods-v1" or "general-v1". 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. """ description = _messages.StringField(1) displayName = _messages.StringField(2) name = _messages.StringField(3) productCategory = _messages.StringField(4) productLabels = _messages.MessageField('GoogleCloudVisionV1p4beta1ProductKeyValue', 5, repeated=True) class GoogleCloudVisionV1p4beta1ProductKeyValue(_messages.Message): r"""A product label represented as a key-value pair. Fields: key: The key of the label attached to the product. Cannot be empty and cannot exceed 128 bytes. value: The value of the label attached to the product. Cannot be empty and cannot exceed 128 bytes. """ key = _messages.StringField(1) value = _messages.StringField(2) class GoogleCloudVisionV1p4beta1ProductSearchResults(_messages.Message): r"""Results for a product search request. Fields: indexTime: 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. results: List of results, one for each product match. """ indexTime = _messages.StringField(1) productGroupedResults = _messages.MessageField('GoogleCloudVisionV1p4beta1ProductSearchResultsGroupedResult', 2, repeated=True) results = _messages.MessageField('GoogleCloudVisionV1p4beta1ProductSearchResultsResult', 3, repeated=True) class GoogleCloudVisionV1p4beta1ProductSearchResultsGroupedResult(_messages.Message): r"""Information about the products similar to a single product in a query image. Fields: boundingPoly: The bounding polygon around the product detected in the query image. objectAnnotations: List of generic predictions for the object in the bounding box. results: List of results, one for each product match. """ boundingPoly = _messages.MessageField('GoogleCloudVisionV1p4beta1BoundingPoly', 1) objectAnnotations = _messages.MessageField('GoogleCloudVisionV1p4beta1ProductSearchResultsObjectAnnotation', 2, repeated=True) results = _messages.MessageField('GoogleCloudVisionV1p4beta1ProductSearchResultsResult', 3, repeated=True) class GoogleCloudVisionV1p4beta1ProductSearchResultsObjectAnnotation(_messages.Message): r"""Prediction for what the object in the bounding box is. Fields: languageCode: 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: Object ID that should align with EntityAnnotation mid. name: Object name, expressed in its `language_code` language. score: Score of the result. Range [0, 1]. """ languageCode = _messages.StringField(1) mid = _messages.StringField(2) name = _messages.StringField(3) score = _messages.FloatField(4, variant=_messages.Variant.FLOAT) class GoogleCloudVisionV1p4beta1ProductSearchResultsResult(_messages.Message): r"""Information about a product. Fields: image: The resource name of the image from the product that is the closest match to the query. product: The Product. score: A confidence level on the match, ranging from 0 (no confidence) to 1 (full confidence). """ image = _messages.StringField(1) product = _messages.MessageField('GoogleCloudVisionV1p4beta1Product', 2) score = _messages.FloatField(3, variant=_messages.Variant.FLOAT) class GoogleCloudVisionV1p4beta1Property(_messages.Message): r"""A `Property` consists of a user-supplied name/value pair. Fields: name: Name of the property. uint64Value: Value of numeric properties. value: Value of the property. """ name = _messages.StringField(1) uint64Value = _messages.IntegerField(2, variant=_messages.Variant.UINT64) value = _messages.StringField(3) class GoogleCloudVisionV1p4beta1ReferenceImage(_messages.Message): r"""A `ReferenceImage` represents a product image and its associated metadata, such as bounding boxes. Fields: boundingPolys: Optional. Bounding polygons around the areas of interest in the reference image. If this field is empty, the system will try to detect regions of interest. At most 10 bounding polygons will be used. The provided shape is converted into a non-rotated rectangle. Once converted, the small edge of the rectangle must be greater than or equal to 300 pixels. The aspect ratio must be 1:4 or less (i.e. 1:3 is ok; 1:5 is not). name: The resource name of the reference image. Format is: `projects/PROJE CT_ID/locations/LOC_ID/products/PRODUCT_ID/referenceImages/IMAGE_ID`. This field is ignored when creating a reference image. uri: Required. The Google Cloud Storage URI of the reference image. The URI must start with `gs://`. """ boundingPolys = _messages.MessageField('GoogleCloudVisionV1p4beta1BoundingPoly', 1, repeated=True) name = _messages.StringField(2) uri = _messages.StringField(3) class GoogleCloudVisionV1p4beta1SafeSearchAnnotation(_messages.Message): r"""Set of features pertaining to the image, computed by computer vision methods over safe-search verticals (for example, adult, spoof, medical, violence). Enums: AdultValueValuesEnum: Represents the adult content likelihood for the image. Adult content may contain elements such as nudity, pornographic images or cartoons, or sexual activities. MedicalValueValuesEnum: Likelihood that this is a medical image. RacyValueValuesEnum: 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. SpoofValueValuesEnum: Spoof likelihood. The likelihood that an modification was made to the image's canonical version to make it appear funny or offensive. ViolenceValueValuesEnum: Likelihood that this image contains violent content. Violent content may include death, serious harm, or injury to individuals or groups of individuals. Fields: adult: Represents the adult content likelihood for the image. Adult content may contain elements such as nudity, pornographic images or cartoons, or sexual activities. medical: Likelihood that this is a medical image. racy: Likelihood that the request image contains racy content. Racy content may include (but is not limited to) skimpy or sheer clothing, strategically covered nudity, lewd or provocative poses, or close-ups of sensitive body areas. spoof: Spoof likelihood. The likelihood that an modification was made to the image's canonical version to make it appear funny or offensive. violence: Likelihood that this image contains violent content. Violent content may include death, serious harm, or injury to individuals or groups of individuals. """ class AdultValueValuesEnum(_messages.Enum): r"""Represents the adult content likelihood for the image. Adult content may contain elements such as nudity, pornographic images or cartoons, or sexual activities. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 class MedicalValueValuesEnum(_messages.Enum): r"""Likelihood that this is a medical image. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 class RacyValueValuesEnum(_messages.Enum): r"""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. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 class SpoofValueValuesEnum(_messages.Enum): r"""Spoof likelihood. The likelihood that an modification was made to the image's canonical version to make it appear funny or offensive. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 class ViolenceValueValuesEnum(_messages.Enum): r"""Likelihood that this image contains violent content. Violent content may include death, serious harm, or injury to individuals or groups of individuals. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 adult = _messages.EnumField('AdultValueValuesEnum', 1) medical = _messages.EnumField('MedicalValueValuesEnum', 2) racy = _messages.EnumField('RacyValueValuesEnum', 3) spoof = _messages.EnumField('SpoofValueValuesEnum', 4) violence = _messages.EnumField('ViolenceValueValuesEnum', 5) class GoogleCloudVisionV1p4beta1Symbol(_messages.Message): r"""A single symbol representation. Fields: boundingBox: 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 vertex order will still be (0, 1, 2, 3). confidence: Confidence of the OCR results for the symbol. Range [0, 1]. property: Additional information detected for the symbol. text: The actual UTF-8 representation of the symbol. """ boundingBox = _messages.MessageField('GoogleCloudVisionV1p4beta1BoundingPoly', 1) confidence = _messages.FloatField(2, variant=_messages.Variant.FLOAT) property = _messages.MessageField('GoogleCloudVisionV1p4beta1TextAnnotationTextProperty', 3) text = _messages.StringField(4) class GoogleCloudVisionV1p4beta1TextAnnotation(_messages.Message): r"""TextAnnotation contains a structured representation of OCR extracted text. The hierarchy of an OCR extracted text structure is like this: TextAnnotation -> Page -> Block -> Paragraph -> Word -> Symbol Each structural component, starting from Page, may further have their own properties. Properties describe detected languages, breaks etc.. Please refer to the TextAnnotation.TextProperty message definition below for more detail. Fields: pages: List of pages detected by OCR. text: UTF-8 text detected on the pages. """ pages = _messages.MessageField('GoogleCloudVisionV1p4beta1Page', 1, repeated=True) text = _messages.StringField(2) class GoogleCloudVisionV1p4beta1TextAnnotationDetectedBreak(_messages.Message): r"""Detected start or end of a structural component. Enums: TypeValueValuesEnum: Detected break type. Fields: isPrefix: True if break prepends the element. type: Detected break type. """ class TypeValueValuesEnum(_messages.Enum): r"""Detected break type. Values: UNKNOWN: Unknown break label type. SPACE: Regular space. SURE_SPACE: Sure space (very wide). EOL_SURE_SPACE: Line-wrapping break. HYPHEN: End-line hyphen that is not present in text; does not co-occur with `SPACE`, `LEADER_SPACE`, or `LINE_BREAK`. LINE_BREAK: Line break that ends a paragraph. """ UNKNOWN = 0 SPACE = 1 SURE_SPACE = 2 EOL_SURE_SPACE = 3 HYPHEN = 4 LINE_BREAK = 5 isPrefix = _messages.BooleanField(1) type = _messages.EnumField('TypeValueValuesEnum', 2) class GoogleCloudVisionV1p4beta1TextAnnotationDetectedLanguage(_messages.Message): r"""Detected language for a structural component. Fields: confidence: Confidence of detected language. Range [0, 1]. languageCode: 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 = _messages.FloatField(1, variant=_messages.Variant.FLOAT) languageCode = _messages.StringField(2) class GoogleCloudVisionV1p4beta1TextAnnotationTextProperty(_messages.Message): r"""Additional information detected on the structural component. Fields: detectedBreak: Detected start or end of a text segment. detectedLanguages: A list of detected languages together with confidence. """ detectedBreak = _messages.MessageField('GoogleCloudVisionV1p4beta1TextAnnotationDetectedBreak', 1) detectedLanguages = _messages.MessageField('GoogleCloudVisionV1p4beta1TextAnnotationDetectedLanguage', 2, repeated=True) class GoogleCloudVisionV1p4beta1Vertex(_messages.Message): r"""A vertex represents a 2D point in the image. NOTE: the vertex coordinates are in the same scale as the original image. Fields: x: X coordinate. y: Y coordinate. """ x = _messages.IntegerField(1, variant=_messages.Variant.INT32) y = _messages.IntegerField(2, variant=_messages.Variant.INT32) class GoogleCloudVisionV1p4beta1WebDetection(_messages.Message): r"""Relevant information for the image from the Internet. Fields: bestGuessLabels: The service's best guess as to the topic of the request image. Inferred from similar images on the open web. fullMatchingImages: Fully matching images from the Internet. Can include resized copies of the query image. pagesWithMatchingImages: Web pages containing the matching images from the Internet. 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. visuallySimilarImages: The visually similar image results. webEntities: Deduced entities from similar images on the Internet. """ bestGuessLabels = _messages.MessageField('GoogleCloudVisionV1p4beta1WebDetectionWebLabel', 1, repeated=True) fullMatchingImages = _messages.MessageField('GoogleCloudVisionV1p4beta1WebDetectionWebImage', 2, repeated=True) pagesWithMatchingImages = _messages.MessageField('GoogleCloudVisionV1p4beta1WebDetectionWebPage', 3, repeated=True) partialMatchingImages = _messages.MessageField('GoogleCloudVisionV1p4beta1WebDetectionWebImage', 4, repeated=True) visuallySimilarImages = _messages.MessageField('GoogleCloudVisionV1p4beta1WebDetectionWebImage', 5, repeated=True) webEntities = _messages.MessageField('GoogleCloudVisionV1p4beta1WebDetectionWebEntity', 6, repeated=True) class GoogleCloudVisionV1p4beta1WebDetectionWebEntity(_messages.Message): r"""Entity deduced from similar images on the Internet. Fields: description: Canonical description of the entity, in English. entityId: Opaque entity ID. score: Overall relevancy score for the entity. Not normalized and not comparable across different image queries. """ description = _messages.StringField(1) entityId = _messages.StringField(2) score = _messages.FloatField(3, variant=_messages.Variant.FLOAT) class GoogleCloudVisionV1p4beta1WebDetectionWebImage(_messages.Message): r"""Metadata for online images. Fields: score: (Deprecated) Overall relevancy score for the image. url: The result image URL. """ score = _messages.FloatField(1, variant=_messages.Variant.FLOAT) url = _messages.StringField(2) class GoogleCloudVisionV1p4beta1WebDetectionWebLabel(_messages.Message): r"""Label to provide extra metadata for the web detection. Fields: label: Label for extra metadata. languageCode: 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 = _messages.StringField(1) languageCode = _messages.StringField(2) class GoogleCloudVisionV1p4beta1WebDetectionWebPage(_messages.Message): r"""Metadata for web pages. Fields: fullMatchingImages: Fully matching images on the page. Can include resized copies of the query image. pageTitle: Title for the web page, may contain HTML markups. 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. score: (Deprecated) Overall relevancy score for the web page. url: The result web page URL. """ fullMatchingImages = _messages.MessageField('GoogleCloudVisionV1p4beta1WebDetectionWebImage', 1, repeated=True) pageTitle = _messages.StringField(2) partialMatchingImages = _messages.MessageField('GoogleCloudVisionV1p4beta1WebDetectionWebImage', 3, repeated=True) score = _messages.FloatField(4, variant=_messages.Variant.FLOAT) url = _messages.StringField(5) class GoogleCloudVisionV1p4beta1Word(_messages.Message): r"""A word representation. Fields: boundingBox: 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). confidence: Confidence of the OCR results for the word. Range [0, 1]. property: Additional information detected for the word. symbols: List of symbols in the word. The order of the symbols follows the natural reading order. """ boundingBox = _messages.MessageField('GoogleCloudVisionV1p4beta1BoundingPoly', 1) confidence = _messages.FloatField(2, variant=_messages.Variant.FLOAT) property = _messages.MessageField('GoogleCloudVisionV1p4beta1TextAnnotationTextProperty', 3) symbols = _messages.MessageField('GoogleCloudVisionV1p4beta1Symbol', 4, repeated=True) class GroupedResult(_messages.Message): r"""Information about the products similar to a single product in a query image. Fields: boundingPoly: The bounding polygon around the product detected in the query image. objectAnnotations: List of generic predictions for the object in the bounding box. results: List of results, one for each product match. """ boundingPoly = _messages.MessageField('BoundingPoly', 1) objectAnnotations = _messages.MessageField('ObjectAnnotation', 2, repeated=True) results = _messages.MessageField('Result', 3, repeated=True) class Image(_messages.Message): r"""Client image to perform Google Cloud Vision API tasks over. Fields: content: Image content, represented as a stream of bytes. Note: As with all `bytes` fields, protobuffers use a pure binary representation, whereas JSON representations use base64. Currently, this field only works for BatchAnnotateImages requests. It does not work for AsyncBatchAnnotateImages requests. source: Google Cloud Storage image location, or publicly-accessible image URL. If both `content` and `source` are provided for an image, `content` takes precedence and is used to perform the image annotation request. """ content = _messages.BytesField(1) source = _messages.MessageField('ImageSource', 2) class ImageAnnotationContext(_messages.Message): r"""If an image was produced from a file (e.g. a PDF), this message gives information about the source of that image. Fields: pageNumber: If the file was a PDF or TIFF, this field gives the page number within the file used to produce the image. uri: The URI of the file used to produce the image. """ pageNumber = _messages.IntegerField(1, variant=_messages.Variant.INT32) uri = _messages.StringField(2) class ImageContext(_messages.Message): r"""Image context and/or feature-specific parameters. Fields: cropHintsParams: Parameters for crop hints annotation request. 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). latLongRect: Not used. productSearchParams: Parameters for product search. textDetectionParams: Parameters for text detection and document text detection. webDetectionParams: Parameters for web detection. """ cropHintsParams = _messages.MessageField('CropHintsParams', 1) languageHints = _messages.StringField(2, repeated=True) latLongRect = _messages.MessageField('LatLongRect', 3) productSearchParams = _messages.MessageField('ProductSearchParams', 4) textDetectionParams = _messages.MessageField('TextDetectionParams', 5) webDetectionParams = _messages.MessageField('WebDetectionParams', 6) class ImageProperties(_messages.Message): r"""Stores image properties, such as dominant colors. Fields: dominantColors: If present, dominant colors completed successfully. """ dominantColors = _messages.MessageField('DominantColorsAnnotation', 1) class ImageSource(_messages.Message): r"""External image source (Google Cloud Storage or web URL image location). Fields: gcsImageUri: **Use `image_uri` instead.** The Google Cloud Storage URI of the form `gs://bucket_name/object_name`. Object versioning is not supported. See [Google Cloud Storage Request URIs](https://cloud.google.com/storage/docs/reference-uris) for more info. imageUri: The URI of the source image. Can be either: 1. A Google Cloud Storage URI of the form `gs://bucket_name/object_name`. Object versioning is not supported. See [Google Cloud Storage Request URIs](https://cloud.google.com/storage/docs/reference-uris) for more info. 2. A publicly-accessible image HTTP/HTTPS URL. When fetching images from HTTP/HTTPS URLs, Google cannot guarantee that the request will be completed. Your request may fail if the specified host denies the request (e.g. due to request throttling or DOS prevention), or if Google throttles requests to the site for abuse prevention. You should not depend on externally-hosted images for production applications. When both `gcs_image_uri` and `image_uri` are specified, `image_uri` takes precedence. """ gcsImageUri = _messages.StringField(1) imageUri = _messages.StringField(2) class ImportProductSetsGcsSource(_messages.Message): r"""The Google Cloud Storage location for a csv file which preserves a list of ImportProductSetRequests in each line. Fields: csvFileUri: The Google Cloud Storage URI of the input csv file. The URI must start with `gs://`. The format of the input csv file should be one image per line. In each line, there are 8 columns. 1. image-uri 2. image-id 3. product-set-id 4. product-id 5. product-category 6. product- display-name 7. labels 8. bounding-poly The `image-uri`, `product-set- id`, `product-id`, and `product-category` columns are required. All other columns are optional. If the `ProductSet` or `Product` specified by the `product-set-id` and `product-id` values does not exist, then the system will create a new `ProductSet` or `Product` for the image. In this case, the `product-display-name` column refers to display_name, the `product-category` column refers to product_category, and the `labels` column refers to product_labels. The `image-id` column is optional but must be unique if provided. If it is empty, the system will automatically assign a unique id to the image. The `product-display- name` column is optional. If it is empty, the system sets the display_name field for the product to a space (" "). You can update the `display_name` later by using the API. If a `Product` with the specified `product-id` already exists, then the system ignores the `product- display-name`, `product-category`, and `labels` columns. The `labels` column (optional) is a line containing a list of comma-separated key- value pairs, in the following format: "key_1=value_1,key_2=value_2,...,key_n=value_n" The `bounding-poly` column (optional) identifies one region of interest from the image in the same manner as `CreateReferenceImage`. If you do not specify the `bounding-poly` column, then the system will try to detect regions of interest automatically. At most one `bounding-poly` column is allowed per line. If the image contains multiple regions of interest, add a line to the CSV file that includes the same product information, and the `bounding-poly` values for each region of interest. The `bounding-poly` column must contain an even number of comma-separated numbers, in the format "p1_x,p1_y,p2_x,p2_y,...,pn_x,pn_y". Use non-negative integers for absolute bounding polygons, and float values in [0, 1] for normalized bounding polygons. The system will resize the image if the image resolution is too large to process (larger than 20MP). """ csvFileUri = _messages.StringField(1) class ImportProductSetsInputConfig(_messages.Message): r"""The input content for the `ImportProductSets` method. Fields: gcsSource: The Google Cloud Storage location for a csv file which preserves a list of ImportProductSetRequests in each line. """ gcsSource = _messages.MessageField('ImportProductSetsGcsSource', 1) class ImportProductSetsRequest(_messages.Message): r"""Request message for the `ImportProductSets` method. Fields: inputConfig: Required. The input content for the list of requests. """ inputConfig = _messages.MessageField('ImportProductSetsInputConfig', 1) class ImportProductSetsResponse(_messages.Message): r"""Response message for the `ImportProductSets` method. This message is returned by the google.longrunning.Operations.GetOperation method in the returned google.longrunning.Operation.response field. Fields: referenceImages: The list of reference_images that are imported successfully. statuses: The rpc status for each ImportProductSet request, including both successes and errors. The number of statuses here matches the number of lines in the csv file, and statuses[i] stores the success or failure status of processing the i-th line of the csv, starting from line 0. """ referenceImages = _messages.MessageField('ReferenceImage', 1, repeated=True) statuses = _messages.MessageField('Status', 2, repeated=True) class InputConfig(_messages.Message): r"""The desired input location and metadata. Fields: content: File content, represented as a stream of bytes. Note: As with all `bytes` fields, protobuffers use a pure binary representation, whereas JSON representations use base64. Currently, this field only works for BatchAnnotateFiles requests. It does not work for AsyncBatchAnnotateFiles requests. gcsSource: The Google Cloud Storage location to read the input from. mimeType: The type of the file. Currently only "application/pdf", "image/tiff" and "image/gif" are supported. Wildcards are not supported. """ content = _messages.BytesField(1) gcsSource = _messages.MessageField('GcsSource', 2) mimeType = _messages.StringField(3) class KeyValue(_messages.Message): r"""A product label represented as a key-value pair. Fields: key: The key of the label attached to the product. Cannot be empty and cannot exceed 128 bytes. value: The value of the label attached to the product. Cannot be empty and cannot exceed 128 bytes. """ key = _messages.StringField(1) value = _messages.StringField(2) class Landmark(_messages.Message): r"""A face-specific landmark (for example, a face feature). Landmark positions may fall outside the bounds of the image if the face is near one or more edges of the image. Therefore it is NOT guaranteed that `0 <= x < width` or `0 <= y < height`. Enums: TypeValueValuesEnum: Face landmark type. Fields: position: Face landmark position. type: Face landmark type. """ class TypeValueValuesEnum(_messages.Enum): r"""Face landmark type. Values: UNKNOWN_LANDMARK: Unknown face landmark detected. Should not be filled. LEFT_EYE: Left eye. RIGHT_EYE: Right eye. LEFT_OF_LEFT_EYEBROW: Left of left eyebrow. RIGHT_OF_LEFT_EYEBROW: Right of left eyebrow. LEFT_OF_RIGHT_EYEBROW: Left of right eyebrow. RIGHT_OF_RIGHT_EYEBROW: Right of right eyebrow. MIDPOINT_BETWEEN_EYES: Midpoint between eyes. NOSE_TIP: Nose tip. UPPER_LIP: Upper lip. LOWER_LIP: Lower lip. MOUTH_LEFT: Mouth left. MOUTH_RIGHT: Mouth right. MOUTH_CENTER: Mouth center. NOSE_BOTTOM_RIGHT: Nose, bottom right. NOSE_BOTTOM_LEFT: Nose, bottom left. NOSE_BOTTOM_CENTER: Nose, bottom center. LEFT_EYE_TOP_BOUNDARY: Left eye, top boundary. LEFT_EYE_RIGHT_CORNER: Left eye, right corner. LEFT_EYE_BOTTOM_BOUNDARY: Left eye, bottom boundary. LEFT_EYE_LEFT_CORNER: Left eye, left corner. RIGHT_EYE_TOP_BOUNDARY: Right eye, top boundary. RIGHT_EYE_RIGHT_CORNER: Right eye, right corner. RIGHT_EYE_BOTTOM_BOUNDARY: Right eye, bottom boundary. RIGHT_EYE_LEFT_CORNER: Right eye, left corner. LEFT_EYEBROW_UPPER_MIDPOINT: Left eyebrow, upper midpoint. RIGHT_EYEBROW_UPPER_MIDPOINT: Right eyebrow, upper midpoint. LEFT_EAR_TRAGION: Left ear tragion. RIGHT_EAR_TRAGION: Right ear tragion. LEFT_EYE_PUPIL: Left eye pupil. RIGHT_EYE_PUPIL: Right eye pupil. FOREHEAD_GLABELLA: Forehead glabella. CHIN_GNATHION: Chin gnathion. CHIN_LEFT_GONION: Chin left gonion. CHIN_RIGHT_GONION: Chin right gonion. LEFT_CHEEK_CENTER: Left cheek center. RIGHT_CHEEK_CENTER: Right cheek center. """ UNKNOWN_LANDMARK = 0 LEFT_EYE = 1 RIGHT_EYE = 2 LEFT_OF_LEFT_EYEBROW = 3 RIGHT_OF_LEFT_EYEBROW = 4 LEFT_OF_RIGHT_EYEBROW = 5 RIGHT_OF_RIGHT_EYEBROW = 6 MIDPOINT_BETWEEN_EYES = 7 NOSE_TIP = 8 UPPER_LIP = 9 LOWER_LIP = 10 MOUTH_LEFT = 11 MOUTH_RIGHT = 12 MOUTH_CENTER = 13 NOSE_BOTTOM_RIGHT = 14 NOSE_BOTTOM_LEFT = 15 NOSE_BOTTOM_CENTER = 16 LEFT_EYE_TOP_BOUNDARY = 17 LEFT_EYE_RIGHT_CORNER = 18 LEFT_EYE_BOTTOM_BOUNDARY = 19 LEFT_EYE_LEFT_CORNER = 20 RIGHT_EYE_TOP_BOUNDARY = 21 RIGHT_EYE_RIGHT_CORNER = 22 RIGHT_EYE_BOTTOM_BOUNDARY = 23 RIGHT_EYE_LEFT_CORNER = 24 LEFT_EYEBROW_UPPER_MIDPOINT = 25 RIGHT_EYEBROW_UPPER_MIDPOINT = 26 LEFT_EAR_TRAGION = 27 RIGHT_EAR_TRAGION = 28 LEFT_EYE_PUPIL = 29 RIGHT_EYE_PUPIL = 30 FOREHEAD_GLABELLA = 31 CHIN_GNATHION = 32 CHIN_LEFT_GONION = 33 CHIN_RIGHT_GONION = 34 LEFT_CHEEK_CENTER = 35 RIGHT_CHEEK_CENTER = 36 position = _messages.MessageField('Position', 1) type = _messages.EnumField('TypeValueValuesEnum', 2) class LatLng(_messages.Message): r"""An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this object must conform to the WGS84 standard. Values must be within normalized ranges. Fields: latitude: The latitude in degrees. It must be in the range [-90.0, +90.0]. longitude: The longitude in degrees. It must be in the range [-180.0, +180.0]. """ latitude = _messages.FloatField(1) longitude = _messages.FloatField(2) class LatLongRect(_messages.Message): r"""Rectangle determined by min and max `LatLng` pairs. Fields: maxLatLng: Max lat/long pair. minLatLng: Min lat/long pair. """ maxLatLng = _messages.MessageField('LatLng', 1) minLatLng = _messages.MessageField('LatLng', 2) class ListOperationsResponse(_messages.Message): r"""The response message for Operations.ListOperations. Fields: nextPageToken: The standard List next-page token. operations: A list of operations that matches the specified filter in the request. unreachable: Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections e.g. when attempting to list all resources across all supported locations. """ nextPageToken = _messages.StringField(1) operations = _messages.MessageField('Operation', 2, repeated=True) unreachable = _messages.StringField(3, repeated=True) class ListProductSetsResponse(_messages.Message): r"""Response message for the `ListProductSets` method. Fields: nextPageToken: Token to retrieve the next page of results, or empty if there are no more results in the list. productSets: List of ProductSets. """ nextPageToken = _messages.StringField(1) productSets = _messages.MessageField('ProductSet', 2, repeated=True) class ListProductsInProductSetResponse(_messages.Message): r"""Response message for the `ListProductsInProductSet` method. Fields: nextPageToken: Token to retrieve the next page of results, or empty if there are no more results in the list. products: The list of Products. """ nextPageToken = _messages.StringField(1) products = _messages.MessageField('Product', 2, repeated=True) class ListProductsResponse(_messages.Message): r"""Response message for the `ListProducts` method. Fields: nextPageToken: Token to retrieve the next page of results, or empty if there are no more results in the list. products: List of products. """ nextPageToken = _messages.StringField(1) products = _messages.MessageField('Product', 2, repeated=True) class ListReferenceImagesResponse(_messages.Message): r"""Response message for the `ListReferenceImages` method. Fields: nextPageToken: The next_page_token returned from a previous List request, if any. pageSize: The maximum number of items to return. Default 10, maximum 100. referenceImages: The list of reference images. """ nextPageToken = _messages.StringField(1) pageSize = _messages.IntegerField(2, variant=_messages.Variant.INT32) referenceImages = _messages.MessageField('ReferenceImage', 3, repeated=True) class LocalizedObjectAnnotation(_messages.Message): r"""Set of detected objects with bounding boxes. Fields: boundingPoly: Image region to which this object belongs. This must be populated. languageCode: 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: Object ID that should align with EntityAnnotation mid. name: Object name, expressed in its `language_code` language. score: Score of the result. Range [0, 1]. """ boundingPoly = _messages.MessageField('BoundingPoly', 1) languageCode = _messages.StringField(2) mid = _messages.StringField(3) name = _messages.StringField(4) score = _messages.FloatField(5, variant=_messages.Variant.FLOAT) class LocationInfo(_messages.Message): r"""Detected entity location information. Fields: latLng: lat/long location coordinates. """ latLng = _messages.MessageField('LatLng', 1) class NormalizedVertex(_messages.Message): r"""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. Fields: x: X coordinate. y: Y coordinate. """ x = _messages.FloatField(1, variant=_messages.Variant.FLOAT) y = _messages.FloatField(2, variant=_messages.Variant.FLOAT) class ObjectAnnotation(_messages.Message): r"""Prediction for what the object in the bounding box is. Fields: languageCode: 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: Object ID that should align with EntityAnnotation mid. name: Object name, expressed in its `language_code` language. score: Score of the result. Range [0, 1]. """ languageCode = _messages.StringField(1) mid = _messages.StringField(2) name = _messages.StringField(3) score = _messages.FloatField(4, variant=_messages.Variant.FLOAT) class Operation(_messages.Message): r"""This resource represents a long-running operation that is the result of a network API call. Messages: MetadataValue: 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. ResponseValue: The normal, successful response of the operation. 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`. Fields: done: 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. error: The error result of the operation in case of failure or cancellation. 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. name: 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}`. response: The normal, successful response of the operation. 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`. """ @encoding.MapUnrecognizedFields('additionalProperties') class MetadataValue(_messages.Message): r"""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. Messages: AdditionalProperty: An additional property for a MetadataValue object. Fields: additionalProperties: Properties of the object. Contains field @type with type URL. """ class AdditionalProperty(_messages.Message): r"""An additional property for a MetadataValue object. Fields: key: Name of the additional property. value: A extra_types.JsonValue attribute. """ key = _messages.StringField(1) value = _messages.MessageField('extra_types.JsonValue', 2) additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True) @encoding.MapUnrecognizedFields('additionalProperties') class ResponseValue(_messages.Message): r"""The normal, successful response of the operation. 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`. Messages: AdditionalProperty: An additional property for a ResponseValue object. Fields: additionalProperties: Properties of the object. Contains field @type with type URL. """ class AdditionalProperty(_messages.Message): r"""An additional property for a ResponseValue object. Fields: key: Name of the additional property. value: A extra_types.JsonValue attribute. """ key = _messages.StringField(1) value = _messages.MessageField('extra_types.JsonValue', 2) additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True) done = _messages.BooleanField(1) error = _messages.MessageField('Status', 2) metadata = _messages.MessageField('MetadataValue', 3) name = _messages.StringField(4) response = _messages.MessageField('ResponseValue', 5) class OperationMetadata(_messages.Message): r"""Contains metadata for the BatchAnnotateImages operation. Enums: StateValueValuesEnum: Current state of the batch operation. Fields: createTime: The time when the batch request was received. state: Current state of the batch operation. updateTime: The time when the operation result was last updated. """ class StateValueValuesEnum(_messages.Enum): r"""Current state of the batch operation. Values: STATE_UNSPECIFIED: Invalid. CREATED: Request is received. RUNNING: Request is actively being processed. DONE: The batch processing is done. CANCELLED: The batch processing was cancelled. """ STATE_UNSPECIFIED = 0 CREATED = 1 RUNNING = 2 DONE = 3 CANCELLED = 4 createTime = _messages.StringField(1) state = _messages.EnumField('StateValueValuesEnum', 2) updateTime = _messages.StringField(3) class OutputConfig(_messages.Message): r"""The desired output location and metadata. Fields: batchSize: 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 to write the output(s) to. """ batchSize = _messages.IntegerField(1, variant=_messages.Variant.INT32) gcsDestination = _messages.MessageField('GcsDestination', 2) class Page(_messages.Message): r"""Detected page from OCR. Fields: blocks: List of blocks of text, images etc on this page. confidence: Confidence of the OCR results on the page. Range [0, 1]. height: Page height. For PDFs the unit is points. For images (including TIFFs) the unit is pixels. property: Additional information detected on the page. width: Page width. For PDFs the unit is points. For images (including TIFFs) the unit is pixels. """ blocks = _messages.MessageField('Block', 1, repeated=True) confidence = _messages.FloatField(2, variant=_messages.Variant.FLOAT) height = _messages.IntegerField(3, variant=_messages.Variant.INT32) property = _messages.MessageField('TextProperty', 4) width = _messages.IntegerField(5, variant=_messages.Variant.INT32) class Paragraph(_messages.Message): r"""Structural unit of text representing a number of words in certain order. Fields: boundingBox: 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). confidence: Confidence of the OCR results for the paragraph. Range [0, 1]. property: Additional information detected for the paragraph. words: List of all words in this paragraph. """ boundingBox = _messages.MessageField('BoundingPoly', 1) confidence = _messages.FloatField(2, variant=_messages.Variant.FLOAT) property = _messages.MessageField('TextProperty', 3) words = _messages.MessageField('Word', 4, repeated=True) class Position(_messages.Message): r"""A 3D position in the image, used primarily for Face detection landmarks. A valid Position must have both x and y coordinates. The position coordinates are in the same scale as the original image. Fields: x: X coordinate. y: Y coordinate. z: Z coordinate (or depth). """ x = _messages.FloatField(1, variant=_messages.Variant.FLOAT) y = _messages.FloatField(2, variant=_messages.Variant.FLOAT) z = _messages.FloatField(3, variant=_messages.Variant.FLOAT) class Product(_messages.Message): r"""A Product contains ReferenceImages. Fields: description: User-provided metadata to be stored with this product. Must be at most 4096 characters long. displayName: The user-provided name for this Product. Must not be empty. Must be at most 4096 characters long. name: The resource name of the product. Format is: `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID`. This field is ignored when creating a product. productCategory: Immutable. The category for the product identified by the reference image. This should be one of "homegoods-v2", "apparel-v2", "toys-v2", "packagedgoods-v1" or "general-v1". 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. """ description = _messages.StringField(1) displayName = _messages.StringField(2) name = _messages.StringField(3) productCategory = _messages.StringField(4) productLabels = _messages.MessageField('KeyValue', 5, repeated=True) class ProductSearchParams(_messages.Message): r"""Parameters for a product search request. Fields: boundingPoly: The bounding polygon around the area of interest in the image. If it is not specified, system discretion will be applied. filter: The filtering expression. This can be used to restrict search results based on Product labels. We currently support an AND of OR of key-value expressions, where each expression within an OR must have the same key. An '=' should be used to connect the key and value. For example, "(color = red OR color = blue) AND brand = Google" is acceptable, but "(color = red OR brand = Google)" is not acceptable. "color: red" is not acceptable because it uses a ':' instead of an '='. 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. productSet: 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 = _messages.MessageField('BoundingPoly', 1) filter = _messages.StringField(2) productCategories = _messages.StringField(3, repeated=True) productSet = _messages.StringField(4) class ProductSearchResults(_messages.Message): r"""Results for a product search request. Fields: indexTime: 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. results: List of results, one for each product match. """ indexTime = _messages.StringField(1) productGroupedResults = _messages.MessageField('GroupedResult', 2, repeated=True) results = _messages.MessageField('Result', 3, repeated=True) class ProductSet(_messages.Message): r"""A ProductSet contains Products. A ProductSet can contain a maximum of 1 million reference images. If the limit is exceeded, periodic indexing will fail. Fields: displayName: The user-provided name for this ProductSet. Must not be empty. Must be at most 4096 characters long. indexError: Output only. If there was an error with indexing the product set, the field is populated. This field is ignored when creating a ProductSet. indexTime: Output only. The time at which this ProductSet was last indexed. Query results will reflect all updates before this time. If this ProductSet has never been indexed, this timestamp is the default value "1970-01-01T00:00:00Z". This field is ignored when creating a ProductSet. name: The resource name of the ProductSet. Format is: `projects/PROJECT_ID/locations/LOC_ID/productSets/PRODUCT_SET_ID`. This field is ignored when creating a ProductSet. """ displayName = _messages.StringField(1) indexError = _messages.MessageField('Status', 2) indexTime = _messages.StringField(3) name = _messages.StringField(4) class ProductSetPurgeConfig(_messages.Message): r"""Config to control which ProductSet contains the Products to be deleted. Fields: productSetId: The ProductSet that contains the Products to delete. If a Product is a member of product_set_id in addition to other ProductSets, the Product will still be deleted. """ productSetId = _messages.StringField(1) class Property(_messages.Message): r"""A `Property` consists of a user-supplied name/value pair. Fields: name: Name of the property. uint64Value: Value of numeric properties. value: Value of the property. """ name = _messages.StringField(1) uint64Value = _messages.IntegerField(2, variant=_messages.Variant.UINT64) value = _messages.StringField(3) class PurgeProductsRequest(_messages.Message): r"""Request message for the `PurgeProducts` method. Fields: deleteOrphanProducts: If delete_orphan_products is true, all Products that are not in any ProductSet will be deleted. force: The default value is false. Override this value to true to actually perform the purge. productSetPurgeConfig: Specify which ProductSet contains the Products to be deleted. """ deleteOrphanProducts = _messages.BooleanField(1) force = _messages.BooleanField(2) productSetPurgeConfig = _messages.MessageField('ProductSetPurgeConfig', 3) class ReferenceImage(_messages.Message): r"""A `ReferenceImage` represents a product image and its associated metadata, such as bounding boxes. Fields: boundingPolys: Optional. Bounding polygons around the areas of interest in the reference image. If this field is empty, the system will try to detect regions of interest. At most 10 bounding polygons will be used. The provided shape is converted into a non-rotated rectangle. Once converted, the small edge of the rectangle must be greater than or equal to 300 pixels. The aspect ratio must be 1:4 or less (i.e. 1:3 is ok; 1:5 is not). name: The resource name of the reference image. Format is: `projects/PROJE CT_ID/locations/LOC_ID/products/PRODUCT_ID/referenceImages/IMAGE_ID`. This field is ignored when creating a reference image. uri: Required. The Google Cloud Storage URI of the reference image. The URI must start with `gs://`. """ boundingPolys = _messages.MessageField('BoundingPoly', 1, repeated=True) name = _messages.StringField(2) uri = _messages.StringField(3) class RemoveProductFromProductSetRequest(_messages.Message): r"""Request message for the `RemoveProductFromProductSet` method. Fields: product: Required. The resource name for the Product to be removed from this ProductSet. Format is: `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID` """ product = _messages.StringField(1) class Result(_messages.Message): r"""Information about a product. Fields: image: The resource name of the image from the product that is the closest match to the query. product: The Product. score: A confidence level on the match, ranging from 0 (no confidence) to 1 (full confidence). """ image = _messages.StringField(1) product = _messages.MessageField('Product', 2) score = _messages.FloatField(3, variant=_messages.Variant.FLOAT) class SafeSearchAnnotation(_messages.Message): r"""Set of features pertaining to the image, computed by computer vision methods over safe-search verticals (for example, adult, spoof, medical, violence). Enums: AdultValueValuesEnum: Represents the adult content likelihood for the image. Adult content may contain elements such as nudity, pornographic images or cartoons, or sexual activities. MedicalValueValuesEnum: Likelihood that this is a medical image. RacyValueValuesEnum: 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. SpoofValueValuesEnum: Spoof likelihood. The likelihood that an modification was made to the image's canonical version to make it appear funny or offensive. ViolenceValueValuesEnum: Likelihood that this image contains violent content. Violent content may include death, serious harm, or injury to individuals or groups of individuals. Fields: adult: Represents the adult content likelihood for the image. Adult content may contain elements such as nudity, pornographic images or cartoons, or sexual activities. medical: Likelihood that this is a medical image. racy: Likelihood that the request image contains racy content. Racy content may include (but is not limited to) skimpy or sheer clothing, strategically covered nudity, lewd or provocative poses, or close-ups of sensitive body areas. spoof: Spoof likelihood. The likelihood that an modification was made to the image's canonical version to make it appear funny or offensive. violence: Likelihood that this image contains violent content. Violent content may include death, serious harm, or injury to individuals or groups of individuals. """ class AdultValueValuesEnum(_messages.Enum): r"""Represents the adult content likelihood for the image. Adult content may contain elements such as nudity, pornographic images or cartoons, or sexual activities. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 class MedicalValueValuesEnum(_messages.Enum): r"""Likelihood that this is a medical image. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 class RacyValueValuesEnum(_messages.Enum): r"""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. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 class SpoofValueValuesEnum(_messages.Enum): r"""Spoof likelihood. The likelihood that an modification was made to the image's canonical version to make it appear funny or offensive. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 class ViolenceValueValuesEnum(_messages.Enum): r"""Likelihood that this image contains violent content. Violent content may include death, serious harm, or injury to individuals or groups of individuals. Values: UNKNOWN: Unknown likelihood. VERY_UNLIKELY: It is very unlikely. UNLIKELY: It is unlikely. POSSIBLE: It is possible. LIKELY: It is likely. VERY_LIKELY: It is very likely. """ UNKNOWN = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 adult = _messages.EnumField('AdultValueValuesEnum', 1) medical = _messages.EnumField('MedicalValueValuesEnum', 2) racy = _messages.EnumField('RacyValueValuesEnum', 3) spoof = _messages.EnumField('SpoofValueValuesEnum', 4) violence = _messages.EnumField('ViolenceValueValuesEnum', 5) class StandardQueryParameters(_messages.Message): r"""Query parameters accepted by all methods. Enums: FXgafvValueValuesEnum: V1 error format. AltValueValuesEnum: Data format for response. Fields: f__xgafv: V1 error format. access_token: OAuth access token. alt: Data format for response. callback: JSONP fields: Selector specifying which fields to include in a partial response. key: API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token. oauth_token: OAuth 2.0 token for the current user. prettyPrint: Returns response with indentations and line breaks. quotaUser: Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters. trace: A tracing token of the form "token:" to include in api requests. uploadType: Legacy upload protocol for media (e.g. "media", "multipart"). upload_protocol: Upload protocol for media (e.g. "raw", "multipart"). """ class AltValueValuesEnum(_messages.Enum): r"""Data format for response. Values: json: Responses with Content-Type of application/json media: Media download with context-dependent Content-Type proto: Responses with Content-Type of application/x-protobuf """ json = 0 media = 1 proto = 2 class FXgafvValueValuesEnum(_messages.Enum): r"""V1 error format. Values: _1: v1 error format _2: v2 error format """ _1 = 0 _2 = 1 f__xgafv = _messages.EnumField('FXgafvValueValuesEnum', 1) access_token = _messages.StringField(2) alt = _messages.EnumField('AltValueValuesEnum', 3, default='json') callback = _messages.StringField(4) fields = _messages.StringField(5) key = _messages.StringField(6) oauth_token = _messages.StringField(7) prettyPrint = _messages.BooleanField(8, default=True) quotaUser = _messages.StringField(9) trace = _messages.StringField(10) uploadType = _messages.StringField(11) upload_protocol = _messages.StringField(12) class Status(_messages.Message): r"""The `Status` type defines a logical error model that is suitable for 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). Messages: DetailsValueListEntry: A DetailsValueListEntry object. Fields: code: 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. message: 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. """ @encoding.MapUnrecognizedFields('additionalProperties') class DetailsValueListEntry(_messages.Message): r"""A DetailsValueListEntry object. Messages: AdditionalProperty: An additional property for a DetailsValueListEntry object. Fields: additionalProperties: Properties of the object. Contains field @type with type URL. """ class AdditionalProperty(_messages.Message): r"""An additional property for a DetailsValueListEntry object. Fields: key: Name of the additional property. value: A extra_types.JsonValue attribute. """ key = _messages.StringField(1) value = _messages.MessageField('extra_types.JsonValue', 2) additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True) code = _messages.IntegerField(1, variant=_messages.Variant.INT32) details = _messages.MessageField('DetailsValueListEntry', 2, repeated=True) message = _messages.StringField(3) class Symbol(_messages.Message): r"""A single symbol representation. Fields: boundingBox: 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 vertex order will still be (0, 1, 2, 3). confidence: Confidence of the OCR results for the symbol. Range [0, 1]. property: Additional information detected for the symbol. text: The actual UTF-8 representation of the symbol. """ boundingBox = _messages.MessageField('BoundingPoly', 1) confidence = _messages.FloatField(2, variant=_messages.Variant.FLOAT) property = _messages.MessageField('TextProperty', 3) text = _messages.StringField(4) class TextAnnotation(_messages.Message): r"""TextAnnotation contains a structured representation of OCR extracted text. The hierarchy of an OCR extracted text structure is like this: TextAnnotation -> Page -> Block -> Paragraph -> Word -> Symbol Each structural component, starting from Page, may further have their own properties. Properties describe detected languages, breaks etc.. Please refer to the TextAnnotation.TextProperty message definition below for more detail. Fields: pages: List of pages detected by OCR. text: UTF-8 text detected on the pages. """ pages = _messages.MessageField('Page', 1, repeated=True) text = _messages.StringField(2) class TextDetectionParams(_messages.Message): r"""Parameters for text detections. This is used to control TEXT_DETECTION and DOCUMENT_TEXT_DETECTION features. Fields: advancedOcrOptions: A list of advanced OCR options to further fine-tune OCR behavior. Current valid values are: - `legacy_layout`: a heuristics layout detection algorithm, which serves as an alternative to the current ML-based layout detection algorithm. Customers can choose the best suitable layout algorithm based on their situation. enableTextDetectionConfidenceScore: By default, Cloud Vision API only includes confidence score for DOCUMENT_TEXT_DETECTION result. Set the flag to true to include confidence score for TEXT_DETECTION as well. """ advancedOcrOptions = _messages.StringField(1, repeated=True) enableTextDetectionConfidenceScore = _messages.BooleanField(2) class TextProperty(_messages.Message): r"""Additional information detected on the structural component. Fields: detectedBreak: Detected start or end of a text segment. detectedLanguages: A list of detected languages together with confidence. """ detectedBreak = _messages.MessageField('DetectedBreak', 1) detectedLanguages = _messages.MessageField('DetectedLanguage', 2, repeated=True) class Vertex(_messages.Message): r"""A vertex represents a 2D point in the image. NOTE: the vertex coordinates are in the same scale as the original image. Fields: x: X coordinate. y: Y coordinate. """ x = _messages.IntegerField(1, variant=_messages.Variant.INT32) y = _messages.IntegerField(2, variant=_messages.Variant.INT32) class VisionLocationsOperationsGetRequest(_messages.Message): r"""A VisionLocationsOperationsGetRequest object. Fields: name: The name of the operation resource. """ name = _messages.StringField(1, required=True) class VisionOperationsCancelRequest(_messages.Message): r"""A VisionOperationsCancelRequest object. Fields: cancelOperationRequest: A CancelOperationRequest resource to be passed as the request body. name: The name of the operation resource to be cancelled. """ cancelOperationRequest = _messages.MessageField('CancelOperationRequest', 1) name = _messages.StringField(2, required=True) class VisionOperationsDeleteRequest(_messages.Message): r"""A VisionOperationsDeleteRequest object. Fields: name: The name of the operation resource to be deleted. """ name = _messages.StringField(1, required=True) class VisionOperationsGetRequest(_messages.Message): r"""A VisionOperationsGetRequest object. Fields: name: The name of the operation resource. """ name = _messages.StringField(1, required=True) class VisionOperationsListRequest(_messages.Message): r"""A VisionOperationsListRequest object. Fields: filter: The standard list filter. name: The name of the operation's parent resource. pageSize: The standard list page size. pageToken: The standard list page token. returnPartialSuccess: When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the [ListOperationsResponse.unreachable] field. This can only be `true` when reading across collections e.g. when `parent` is set to `"projects/example/locations/-"`. This field is not by default supported and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation. """ filter = _messages.StringField(1) name = _messages.StringField(2, required=True) pageSize = _messages.IntegerField(3, variant=_messages.Variant.INT32) pageToken = _messages.StringField(4) returnPartialSuccess = _messages.BooleanField(5) class VisionProjectsLocationsOperationsGetRequest(_messages.Message): r"""A VisionProjectsLocationsOperationsGetRequest object. Fields: name: The name of the operation resource. """ name = _messages.StringField(1, required=True) class VisionProjectsLocationsProductSetsAddProductRequest(_messages.Message): r"""A VisionProjectsLocationsProductSetsAddProductRequest object. Fields: addProductToProductSetRequest: A AddProductToProductSetRequest resource to be passed as the request body. name: Required. The resource name for the ProductSet to modify. Format is: `projects/PROJECT_ID/locations/LOC_ID/productSets/PRODUCT_SET_ID` """ addProductToProductSetRequest = _messages.MessageField('AddProductToProductSetRequest', 1) name = _messages.StringField(2, required=True) class VisionProjectsLocationsProductSetsCreateRequest(_messages.Message): r"""A VisionProjectsLocationsProductSetsCreateRequest object. Fields: parent: Required. The project in which the ProductSet should be created. Format is `projects/PROJECT_ID/locations/LOC_ID`. productSet: A ProductSet resource to be passed as the request body. productSetId: A user-supplied resource id for this ProductSet. If set, the server will attempt to use this value as the resource id. If it is already in use, an error is returned with code ALREADY_EXISTS. Must be at most 128 characters long. It cannot contain the character `/`. """ parent = _messages.StringField(1, required=True) productSet = _messages.MessageField('ProductSet', 2) productSetId = _messages.StringField(3) class VisionProjectsLocationsProductSetsDeleteRequest(_messages.Message): r"""A VisionProjectsLocationsProductSetsDeleteRequest object. Fields: name: Required. Resource name of the ProductSet to delete. Format is: `projects/PROJECT_ID/locations/LOC_ID/productSets/PRODUCT_SET_ID` """ name = _messages.StringField(1, required=True) class VisionProjectsLocationsProductSetsGetRequest(_messages.Message): r"""A VisionProjectsLocationsProductSetsGetRequest object. Fields: name: Required. Resource name of the ProductSet to get. Format is: `projects/PROJECT_ID/locations/LOC_ID/productSets/PRODUCT_SET_ID` """ name = _messages.StringField(1, required=True) class VisionProjectsLocationsProductSetsImportRequest(_messages.Message): r"""A VisionProjectsLocationsProductSetsImportRequest object. Fields: importProductSetsRequest: A ImportProductSetsRequest resource to be passed as the request body. parent: Required. The project in which the ProductSets should be imported. Format is `projects/PROJECT_ID/locations/LOC_ID`. """ importProductSetsRequest = _messages.MessageField('ImportProductSetsRequest', 1) parent = _messages.StringField(2, required=True) class VisionProjectsLocationsProductSetsListRequest(_messages.Message): r"""A VisionProjectsLocationsProductSetsListRequest object. Fields: pageSize: The maximum number of items to return. Default 10, maximum 100. pageToken: The next_page_token returned from a previous List request, if any. parent: Required. The project from which ProductSets should be listed. Format is `projects/PROJECT_ID/locations/LOC_ID`. """ pageSize = _messages.IntegerField(1, variant=_messages.Variant.INT32) pageToken = _messages.StringField(2) parent = _messages.StringField(3, required=True) class VisionProjectsLocationsProductSetsPatchRequest(_messages.Message): r"""A VisionProjectsLocationsProductSetsPatchRequest object. Fields: name: The resource name of the ProductSet. Format is: `projects/PROJECT_ID/locations/LOC_ID/productSets/PRODUCT_SET_ID`. This field is ignored when creating a ProductSet. productSet: A ProductSet resource to be passed as the request body. updateMask: The FieldMask that specifies which fields to update. If update_mask isn't specified, all mutable fields are to be updated. Valid mask path is `display_name`. """ name = _messages.StringField(1, required=True) productSet = _messages.MessageField('ProductSet', 2) updateMask = _messages.StringField(3) class VisionProjectsLocationsProductSetsProductsListRequest(_messages.Message): r"""A VisionProjectsLocationsProductSetsProductsListRequest object. Fields: name: Required. The ProductSet resource for which to retrieve Products. Format is: `projects/PROJECT_ID/locations/LOC_ID/productSets/PRODUCT_SET_ID` pageSize: The maximum number of items to return. Default 10, maximum 100. pageToken: The next_page_token returned from a previous List request, if any. """ name = _messages.StringField(1, required=True) pageSize = _messages.IntegerField(2, variant=_messages.Variant.INT32) pageToken = _messages.StringField(3) class VisionProjectsLocationsProductSetsRemoveProductRequest(_messages.Message): r"""A VisionProjectsLocationsProductSetsRemoveProductRequest object. Fields: name: Required. The resource name for the ProductSet to modify. Format is: `projects/PROJECT_ID/locations/LOC_ID/productSets/PRODUCT_SET_ID` removeProductFromProductSetRequest: A RemoveProductFromProductSetRequest resource to be passed as the request body. """ name = _messages.StringField(1, required=True) removeProductFromProductSetRequest = _messages.MessageField('RemoveProductFromProductSetRequest', 2) class VisionProjectsLocationsProductsCreateRequest(_messages.Message): r"""A VisionProjectsLocationsProductsCreateRequest object. Fields: parent: Required. The project in which the Product should be created. Format is `projects/PROJECT_ID/locations/LOC_ID`. product: A Product resource to be passed as the request body. productId: A user-supplied resource id for this Product. If set, the server will attempt to use this value as the resource id. If it is already in use, an error is returned with code ALREADY_EXISTS. Must be at most 128 characters long. It cannot contain the character `/`. """ parent = _messages.StringField(1, required=True) product = _messages.MessageField('Product', 2) productId = _messages.StringField(3) class VisionProjectsLocationsProductsDeleteRequest(_messages.Message): r"""A VisionProjectsLocationsProductsDeleteRequest object. Fields: name: Required. Resource name of product to delete. Format is: `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID` """ name = _messages.StringField(1, required=True) class VisionProjectsLocationsProductsGetRequest(_messages.Message): r"""A VisionProjectsLocationsProductsGetRequest object. Fields: name: Required. Resource name of the Product to get. Format is: `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID` """ name = _messages.StringField(1, required=True) class VisionProjectsLocationsProductsListRequest(_messages.Message): r"""A VisionProjectsLocationsProductsListRequest object. Fields: pageSize: The maximum number of items to return. Default 10, maximum 100. pageToken: The next_page_token returned from a previous List request, if any. parent: Required. The project OR ProductSet from which Products should be listed. Format: `projects/PROJECT_ID/locations/LOC_ID` """ pageSize = _messages.IntegerField(1, variant=_messages.Variant.INT32) pageToken = _messages.StringField(2) parent = _messages.StringField(3, required=True) class VisionProjectsLocationsProductsPatchRequest(_messages.Message): r"""A VisionProjectsLocationsProductsPatchRequest object. Fields: name: The resource name of the product. Format is: `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID`. This field is ignored when creating a product. product: A Product resource to be passed as the request body. updateMask: The FieldMask that specifies which fields to update. If update_mask isn't specified, all mutable fields are to be updated. Valid mask paths include `product_labels`, `display_name`, and `description`. """ name = _messages.StringField(1, required=True) product = _messages.MessageField('Product', 2) updateMask = _messages.StringField(3) class VisionProjectsLocationsProductsPurgeRequest(_messages.Message): r"""A VisionProjectsLocationsProductsPurgeRequest object. Fields: parent: Required. The project and location in which the Products should be deleted. Format is `projects/PROJECT_ID/locations/LOC_ID`. purgeProductsRequest: A PurgeProductsRequest resource to be passed as the request body. """ parent = _messages.StringField(1, required=True) purgeProductsRequest = _messages.MessageField('PurgeProductsRequest', 2) class VisionProjectsLocationsProductsReferenceImagesCreateRequest(_messages.Message): r"""A VisionProjectsLocationsProductsReferenceImagesCreateRequest object. Fields: parent: Required. Resource name of the product in which to create the reference image. Format is `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID`. referenceImage: A ReferenceImage resource to be passed as the request body. referenceImageId: A user-supplied resource id for the ReferenceImage to be added. If set, the server will attempt to use this value as the resource id. If it is already in use, an error is returned with code ALREADY_EXISTS. Must be at most 128 characters long. It cannot contain the character `/`. """ parent = _messages.StringField(1, required=True) referenceImage = _messages.MessageField('ReferenceImage', 2) referenceImageId = _messages.StringField(3) class VisionProjectsLocationsProductsReferenceImagesDeleteRequest(_messages.Message): r"""A VisionProjectsLocationsProductsReferenceImagesDeleteRequest object. Fields: name: Required. The resource name of the reference image to delete. Format is: `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID/referenceI mages/IMAGE_ID` """ name = _messages.StringField(1, required=True) class VisionProjectsLocationsProductsReferenceImagesGetRequest(_messages.Message): r"""A VisionProjectsLocationsProductsReferenceImagesGetRequest object. Fields: name: Required. The resource name of the ReferenceImage to get. Format is: `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID/referenceImage s/IMAGE_ID`. """ name = _messages.StringField(1, required=True) class VisionProjectsLocationsProductsReferenceImagesListRequest(_messages.Message): r"""A VisionProjectsLocationsProductsReferenceImagesListRequest object. Fields: pageSize: The maximum number of items to return. Default 10, maximum 100. pageToken: A token identifying a page of results to be returned. This is the value of `nextPageToken` returned in a previous reference image list request. Defaults to the first page if not specified. parent: Required. Resource name of the product containing the reference images. Format is `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID`. """ pageSize = _messages.IntegerField(1, variant=_messages.Variant.INT32) pageToken = _messages.StringField(2) parent = _messages.StringField(3, required=True) class VisionProjectsOperationsGetRequest(_messages.Message): r"""A VisionProjectsOperationsGetRequest object. Fields: name: The name of the operation resource. """ name = _messages.StringField(1, required=True) class WebDetection(_messages.Message): r"""Relevant information for the image from the Internet. Fields: bestGuessLabels: The service's best guess as to the topic of the request image. Inferred from similar images on the open web. fullMatchingImages: Fully matching images from the Internet. Can include resized copies of the query image. pagesWithMatchingImages: Web pages containing the matching images from the Internet. 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. visuallySimilarImages: The visually similar image results. webEntities: Deduced entities from similar images on the Internet. """ bestGuessLabels = _messages.MessageField('WebLabel', 1, repeated=True) fullMatchingImages = _messages.MessageField('WebImage', 2, repeated=True) pagesWithMatchingImages = _messages.MessageField('WebPage', 3, repeated=True) partialMatchingImages = _messages.MessageField('WebImage', 4, repeated=True) visuallySimilarImages = _messages.MessageField('WebImage', 5, repeated=True) webEntities = _messages.MessageField('WebEntity', 6, repeated=True) class WebDetectionParams(_messages.Message): r"""Parameters for web detection request. Fields: includeGeoResults: This field has no effect on results. """ includeGeoResults = _messages.BooleanField(1) class WebEntity(_messages.Message): r"""Entity deduced from similar images on the Internet. Fields: description: Canonical description of the entity, in English. entityId: Opaque entity ID. score: Overall relevancy score for the entity. Not normalized and not comparable across different image queries. """ description = _messages.StringField(1) entityId = _messages.StringField(2) score = _messages.FloatField(3, variant=_messages.Variant.FLOAT) class WebImage(_messages.Message): r"""Metadata for online images. Fields: score: (Deprecated) Overall relevancy score for the image. url: The result image URL. """ score = _messages.FloatField(1, variant=_messages.Variant.FLOAT) url = _messages.StringField(2) class WebLabel(_messages.Message): r"""Label to provide extra metadata for the web detection. Fields: label: Label for extra metadata. languageCode: 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 = _messages.StringField(1) languageCode = _messages.StringField(2) class WebPage(_messages.Message): r"""Metadata for web pages. Fields: fullMatchingImages: Fully matching images on the page. Can include resized copies of the query image. pageTitle: Title for the web page, may contain HTML markups. 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. score: (Deprecated) Overall relevancy score for the web page. url: The result web page URL. """ fullMatchingImages = _messages.MessageField('WebImage', 1, repeated=True) pageTitle = _messages.StringField(2) partialMatchingImages = _messages.MessageField('WebImage', 3, repeated=True) score = _messages.FloatField(4, variant=_messages.Variant.FLOAT) url = _messages.StringField(5) class Word(_messages.Message): r"""A word representation. Fields: boundingBox: 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). confidence: Confidence of the OCR results for the word. Range [0, 1]. property: Additional information detected for the word. symbols: List of symbols in the word. The order of the symbols follows the natural reading order. """ boundingBox = _messages.MessageField('BoundingPoly', 1) confidence = _messages.FloatField(2, variant=_messages.Variant.FLOAT) property = _messages.MessageField('TextProperty', 3) symbols = _messages.MessageField('Symbol', 4, repeated=True) encoding.AddCustomJsonFieldMapping( StandardQueryParameters, 'f__xgafv', '$.xgafv') encoding.AddCustomJsonEnumMapping( StandardQueryParameters.FXgafvValueValuesEnum, '_1', '1') encoding.AddCustomJsonEnumMapping( StandardQueryParameters.FXgafvValueValuesEnum, '_2', '2')