/**
 * Copyright 2019 Google LLC
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *      http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
import { GaxiosPromise } from 'gaxios';
import { Compute, JWT, OAuth2Client, UserRefreshClient } from 'google-auth-library';
import { BodyResponseCallback, GlobalOptions, GoogleConfigurable, MethodOptions } from 'googleapis-common';
export declare namespace vision_v1p2beta1 {
    interface Options extends GlobalOptions {
        version: 'v1p2beta1';
    }
    interface StandardParameters {
        /**
         * V1 error format.
         */
        '$.xgafv'?: string;
        /**
         * OAuth access token.
         */
        access_token?: string;
        /**
         * Data format for response.
         */
        alt?: string;
        /**
         * JSONP
         */
        callback?: string;
        /**
         * Selector specifying which fields to include in a partial response.
         */
        fields?: string;
        /**
         * API key. Your API key identifies your project and provides you with API
         * access, quota, and reports. Required unless you provide an OAuth 2.0
         * token.
         */
        key?: string;
        /**
         * OAuth 2.0 token for the current user.
         */
        oauth_token?: string;
        /**
         * Returns response with indentations and line breaks.
         */
        prettyPrint?: boolean;
        /**
         * Available to use for quota purposes for server-side applications. Can be
         * any arbitrary string assigned to a user, but should not exceed 40
         * characters.
         */
        quotaUser?: string;
        /**
         * Legacy upload protocol for media (e.g. "media", "multipart").
         */
        uploadType?: string;
        /**
         * Upload protocol for media (e.g. "raw", "multipart").
         */
        upload_protocol?: string;
    }
    /**
     * Cloud Vision API
     *
     * Integrates Google Vision features, including image labeling, face, logo,
     * and landmark detection, optical character recognition (OCR), and detection
     * of explicit content, into applications.
     *
     * @example
     * const {google} = require('googleapis');
     * const vision = google.vision('v1p2beta1');
     *
     * @namespace vision
     * @type {Function}
     * @version v1p2beta1
     * @variation v1p2beta1
     * @param {object=} options Options for Vision
     */
    class Vision {
        files: Resource$Files;
        images: Resource$Images;
        constructor(options: GlobalOptions, google?: GoogleConfigurable);
    }
    /**
     * Response to a single file annotation request. A file may contain one or
     * more images, which individually have their own responses.
     */
    interface Schema$AnnotateFileResponse {
        /**
         * Information about the file for which this response is generated.
         */
        inputConfig?: Schema$InputConfig;
        /**
         * Individual responses to images found within the file.
         */
        responses?: Schema$AnnotateImageResponse[];
    }
    /**
     * Response to an image annotation request.
     */
    interface Schema$AnnotateImageResponse {
        /**
         * If present, contextual information is needed to understand where this
         * image comes from.
         */
        context?: Schema$ImageAnnotationContext;
        /**
         * If present, crop hints have completed successfully.
         */
        cropHintsAnnotation?: Schema$CropHintsAnnotation;
        /**
         * If set, represents the error message for the operation. Note that
         * filled-in image annotations are guaranteed to be correct, even when
         * `error` is set.
         */
        error?: Schema$Status;
        /**
         * If present, face detection has completed successfully.
         */
        faceAnnotations?: Schema$FaceAnnotation[];
        /**
         * If present, text (OCR) detection or document (OCR) text detection has
         * completed successfully. This annotation provides the structural hierarchy
         * for the OCR detected text.
         */
        fullTextAnnotation?: Schema$TextAnnotation;
        /**
         * If present, image properties were extracted successfully.
         */
        imagePropertiesAnnotation?: Schema$ImageProperties;
        /**
         * If present, label detection has completed successfully.
         */
        labelAnnotations?: Schema$EntityAnnotation[];
        /**
         * If present, landmark detection has completed successfully.
         */
        landmarkAnnotations?: Schema$EntityAnnotation[];
        /**
         * If present, localized object detection has completed successfully. This
         * will be sorted descending by confidence score.
         */
        localizedObjectAnnotations?: Schema$LocalizedObjectAnnotation[];
        /**
         * If present, logo detection has completed successfully.
         */
        logoAnnotations?: Schema$EntityAnnotation[];
        /**
         * If present, product search has completed successfully.
         */
        productSearchResults?: Schema$ProductSearchResults;
        /**
         * If present, safe-search annotation has completed successfully.
         */
        safeSearchAnnotation?: Schema$SafeSearchAnnotation;
        /**
         * If present, text (OCR) detection has completed successfully.
         */
        textAnnotations?: Schema$EntityAnnotation[];
        /**
         * If present, web detection has completed successfully.
         */
        webDetection?: Schema$WebDetection;
    }
    /**
     * The response for a single offline file annotation request.
     */
    interface Schema$AsyncAnnotateFileResponse {
        /**
         * The output location and metadata from AsyncAnnotateFileRequest.
         */
        outputConfig?: Schema$OutputConfig;
    }
    /**
     * Response to an async batch file annotation request.
     */
    interface Schema$AsyncBatchAnnotateFilesResponse {
        /**
         * The list of file annotation responses, one for each request in
         * AsyncBatchAnnotateFilesRequest.
         */
        responses?: Schema$AsyncAnnotateFileResponse[];
    }
    /**
     * Metadata for the batch operations such as the current state.  This is
     * included in the `metadata` field of the `Operation` returned by the
     * `GetOperation` call of the `google::longrunning::Operations` service.
     */
    interface Schema$BatchOperationMetadata {
        /**
         * The time when the batch request is finished and
         * google.longrunning.Operation.done is set to true.
         */
        endTime?: string;
        /**
         * The current state of the batch operation.
         */
        state?: string;
        /**
         * The time when the batch request was submitted to the server.
         */
        submitTime?: string;
    }
    /**
     * Logical element on the page.
     */
    interface Schema$Block {
        /**
         * Detected block type (text, image etc) for this block.
         */
        blockType?: string;
        /**
         * The bounding box for the block. The vertices are in the order of
         * top-left, top-right, bottom-right, bottom-left. When a rotation of the
         * bounding box is detected the rotation is represented as around the
         * top-left corner as defined when the text is read in the 'natural'
         * orientation. For example:  * when the text is horizontal it might look
         * like:          0----1         |    |         3----2  * when it's
         * rotated 180 degrees around the top-left corner it becomes: 2----3 |    |
         * 1----0    and the vertex order will still be (0, 1, 2, 3).
         */
        boundingBox?: Schema$BoundingPoly;
        /**
         * Confidence of the OCR results on the block. Range [0, 1].
         */
        confidence?: number;
        /**
         * List of paragraphs in this block (if this blocks is of type text).
         */
        paragraphs?: Schema$Paragraph[];
        /**
         * Additional information detected for the block.
         */
        property?: Schema$TextProperty;
    }
    /**
     * A bounding polygon for the detected image annotation.
     */
    interface Schema$BoundingPoly {
        /**
         * The bounding polygon normalized vertices.
         */
        normalizedVertices?: Schema$NormalizedVertex[];
        /**
         * The bounding polygon vertices.
         */
        vertices?: Schema$Vertex[];
    }
    /**
     * Represents a color in the RGBA color space. This representation is designed
     * for simplicity of conversion to/from color representations in various
     * languages over compactness; for example, the fields of this representation
     * can be trivially provided to the constructor of "java.awt.Color"
     * in Java; it can also be trivially provided to UIColor's
     * "+colorWithRed:green:blue:alpha" method in iOS; and, with just a
     * little work, it can be easily formatted into a CSS "rgba()"
     * string in JavaScript, as well. Here are some examples:  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('');
     * };      // ...
     */
    interface Schema$Color {
        /**
         * The fraction of this color that should be applied to the pixel. That is,
         * the final pixel color is defined by the equation:    pixel color = alpha
         * * (this color) + (1.0 - alpha) * (background color)  This means that a
         * value of 1.0 corresponds to a solid color, whereas a value of 0.0
         * corresponds to a completely transparent color. This uses a wrapper
         * message rather than a simple float scalar so that it is possible to
         * distinguish between a default value and the value being unset. If
         * omitted, this color object is to be rendered as a solid color (as if the
         * alpha value had been explicitly given with a value of 1.0).
         */
        alpha?: number;
        /**
         * The amount of blue in the color as a value in the interval [0, 1].
         */
        blue?: number;
        /**
         * The amount of green in the color as a value in the interval [0, 1].
         */
        green?: number;
        /**
         * The amount of red in the color as a value in the interval [0, 1].
         */
        red?: number;
    }
    /**
     * Color information consists of RGB channels, score, and the fraction of the
     * image that the color occupies in the image.
     */
    interface Schema$ColorInfo {
        /**
         * RGB components of the color.
         */
        color?: Schema$Color;
        /**
         * The fraction of pixels the color occupies in the image. Value in range
         * [0, 1].
         */
        pixelFraction?: number;
        /**
         * Image-specific score for this color. Value in range [0, 1].
         */
        score?: number;
    }
    /**
     * Single crop hint that is used to generate a new crop when serving an image.
     */
    interface Schema$CropHint {
        /**
         * The bounding polygon for the crop region. The coordinates of the bounding
         * box are in the original image's scale.
         */
        boundingPoly?: Schema$BoundingPoly;
        /**
         * Confidence of this being a salient region.  Range [0, 1].
         */
        confidence?: number;
        /**
         * Fraction of importance of this salient region with respect to the
         * original image.
         */
        importanceFraction?: number;
    }
    /**
     * Set of crop hints that are used to generate new crops when serving images.
     */
    interface Schema$CropHintsAnnotation {
        /**
         * Crop hint results.
         */
        cropHints?: Schema$CropHint[];
    }
    /**
     * Detected start or end of a structural component.
     */
    interface Schema$DetectedBreak {
        /**
         * True if break prepends the element.
         */
        isPrefix?: boolean;
        /**
         * Detected break type.
         */
        type?: string;
    }
    /**
     * Detected language for a structural component.
     */
    interface Schema$DetectedLanguage {
        /**
         * Confidence of detected language. Range [0, 1].
         */
        confidence?: number;
        /**
         * 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.
         */
        languageCode?: string;
    }
    /**
     * Set of dominant colors and their corresponding scores.
     */
    interface Schema$DominantColorsAnnotation {
        /**
         * RGB color values with their score and pixel fraction.
         */
        colors?: Schema$ColorInfo[];
    }
    /**
     * Set of detected entity features.
     */
    interface Schema$EntityAnnotation {
        /**
         * Image region to which this entity belongs. Not produced for
         * `LABEL_DETECTION` features.
         */
        boundingPoly?: Schema$BoundingPoly;
        /**
         * **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].
         */
        confidence?: number;
        /**
         * Entity textual description, expressed in its `locale` language.
         */
        description?: string;
        /**
         * The language code for the locale in which the entity textual
         * `description` is expressed.
         */
        locale?: string;
        /**
         * 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.
         */
        locations?: Schema$LocationInfo[];
        /**
         * Opaque entity ID. Some IDs may be available in [Google Knowledge Graph
         * Search API](https://developers.google.com/knowledge-graph/).
         */
        mid?: string;
        /**
         * Some entities may have optional user-supplied `Property` (name/value)
         * fields, such a score or string that qualifies the entity.
         */
        properties?: Schema$Property[];
        /**
         * Overall score of the result. Range [0, 1].
         */
        score?: number;
        /**
         * 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].
         */
        topicality?: number;
    }
    /**
     * A face annotation object contains the results of face detection.
     */
    interface Schema$FaceAnnotation {
        /**
         * Anger likelihood.
         */
        angerLikelihood?: string;
        /**
         * Blurred likelihood.
         */
        blurredLikelihood?: string;
        /**
         * The bounding polygon around the face. The coordinates of the bounding box
         * are in the original image's scale. The bounding box is computed to
         * "frame" the face in accordance with human expectations. It is
         * based on the landmarker results. Note that one or more x and/or y
         * coordinates may not be generated in the `BoundingPoly` (the polygon will
         * be unbounded) if only a partial face appears in the image to be
         * annotated.
         */
        boundingPoly?: Schema$BoundingPoly;
        /**
         * Detection confidence. Range [0, 1].
         */
        detectionConfidence?: number;
        /**
         * The `fd_bounding_poly` bounding polygon is tighter than the
         * `boundingPoly`, and encloses only the skin part of the face. Typically,
         * it is used to eliminate the face from any image analysis that detects the
         * "amount of skin" visible in an image. It is not based on the
         * landmarker results, only on the initial face detection, hence the
         * <code>fd</code> (face detection) prefix.
         */
        fdBoundingPoly?: Schema$BoundingPoly;
        /**
         * Headwear likelihood.
         */
        headwearLikelihood?: string;
        /**
         * Joy likelihood.
         */
        joyLikelihood?: string;
        /**
         * Face landmarking confidence. Range [0, 1].
         */
        landmarkingConfidence?: number;
        /**
         * Detected face landmarks.
         */
        landmarks?: Schema$Landmark[];
        /**
         * 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].
         */
        panAngle?: number;
        /**
         * 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].
         */
        rollAngle?: number;
        /**
         * Sorrow likelihood.
         */
        sorrowLikelihood?: string;
        /**
         * Surprise likelihood.
         */
        surpriseLikelihood?: string;
        /**
         * Pitch angle, which indicates the upwards/downwards angle that the face is
         * pointing relative to the image's horizontal plane. Range [-180,180].
         */
        tiltAngle?: number;
        /**
         * Under-exposed likelihood.
         */
        underExposedLikelihood?: string;
    }
    /**
     * The Google Cloud Storage location where the output will be written to.
     */
    interface Schema$GcsDestination {
        /**
         * Google Cloud Storage URI where the results will be stored. Results will
         * be in JSON format and preceded by its corresponding input URI. This field
         * can either represent a single file, or a prefix for multiple outputs.
         * Prefixes must end in a `/`.  Examples:  *    File:
         * gs://bucket-name/filename.json *    Prefix: gs://bucket-name/prefix/here/
         * *    File: gs://bucket-name/prefix/here  If multiple outputs, each
         * response is still AnnotateFileResponse, each of which contains some
         * subset of the full list of AnnotateImageResponse. Multiple outputs can
         * happen if, for example, the output JSON is too large and overflows into
         * multiple sharded files.
         */
        uri?: string;
    }
    /**
     * The Google Cloud Storage location where the input will be read from.
     */
    interface Schema$GcsSource {
        /**
         * Google Cloud Storage URI for the input file. This must only be a Google
         * Cloud Storage object. Wildcards are not currently supported.
         */
        uri?: string;
    }
    /**
     * Response to a single file annotation request. A file may contain one or
     * more images, which individually have their own responses.
     */
    interface Schema$GoogleCloudVisionV1p1beta1AnnotateFileResponse {
        /**
         * Information about the file for which this response is generated.
         */
        inputConfig?: Schema$GoogleCloudVisionV1p1beta1InputConfig;
        /**
         * Individual responses to images found within the file.
         */
        responses?: Schema$GoogleCloudVisionV1p1beta1AnnotateImageResponse[];
    }
    /**
     * Response to an image annotation request.
     */
    interface Schema$GoogleCloudVisionV1p1beta1AnnotateImageResponse {
        /**
         * If present, contextual information is needed to understand where this
         * image comes from.
         */
        context?: Schema$GoogleCloudVisionV1p1beta1ImageAnnotationContext;
        /**
         * If present, crop hints have completed successfully.
         */
        cropHintsAnnotation?: Schema$GoogleCloudVisionV1p1beta1CropHintsAnnotation;
        /**
         * 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.
         */
        error?: Schema$Status;
        /**
         * If present, face detection has completed successfully.
         */
        faceAnnotations?: Schema$GoogleCloudVisionV1p1beta1FaceAnnotation[];
        /**
         * If present, text (OCR) detection or document (OCR) text detection has
         * completed successfully. This annotation provides the structural hierarchy
         * for the OCR detected text.
         */
        fullTextAnnotation?: Schema$GoogleCloudVisionV1p1beta1TextAnnotation;
        /**
         * If present, image properties were extracted successfully.
         */
        imagePropertiesAnnotation?: Schema$GoogleCloudVisionV1p1beta1ImageProperties;
        /**
         * If present, label detection has completed successfully.
         */
        labelAnnotations?: Schema$GoogleCloudVisionV1p1beta1EntityAnnotation[];
        /**
         * If present, landmark detection has completed successfully.
         */
        landmarkAnnotations?: Schema$GoogleCloudVisionV1p1beta1EntityAnnotation[];
        /**
         * If present, localized object detection has completed successfully. This
         * will be sorted descending by confidence score.
         */
        localizedObjectAnnotations?: Schema$GoogleCloudVisionV1p1beta1LocalizedObjectAnnotation[];
        /**
         * If present, logo detection has completed successfully.
         */
        logoAnnotations?: Schema$GoogleCloudVisionV1p1beta1EntityAnnotation[];
        /**
         * If present, product search has completed successfully.
         */
        productSearchResults?: Schema$GoogleCloudVisionV1p1beta1ProductSearchResults;
        /**
         * If present, safe-search annotation has completed successfully.
         */
        safeSearchAnnotation?: Schema$GoogleCloudVisionV1p1beta1SafeSearchAnnotation;
        /**
         * If present, text (OCR) detection has completed successfully.
         */
        textAnnotations?: Schema$GoogleCloudVisionV1p1beta1EntityAnnotation[];
        /**
         * If present, web detection has completed successfully.
         */
        webDetection?: Schema$GoogleCloudVisionV1p1beta1WebDetection;
    }
    /**
     * The response for a single offline file annotation request.
     */
    interface Schema$GoogleCloudVisionV1p1beta1AsyncAnnotateFileResponse {
        /**
         * The output location and metadata from AsyncAnnotateFileRequest.
         */
        outputConfig?: Schema$GoogleCloudVisionV1p1beta1OutputConfig;
    }
    /**
     * Response to an async batch file annotation request.
     */
    interface Schema$GoogleCloudVisionV1p1beta1AsyncBatchAnnotateFilesResponse {
        /**
         * The list of file annotation responses, one for each request in
         * AsyncBatchAnnotateFilesRequest.
         */
        responses?: Schema$GoogleCloudVisionV1p1beta1AsyncAnnotateFileResponse[];
    }
    /**
     * Logical element on the page.
     */
    interface Schema$GoogleCloudVisionV1p1beta1Block {
        /**
         * Detected block type (text, image etc) for this block.
         */
        blockType?: string;
        /**
         * The bounding box for the block. The vertices are in the order of
         * top-left, top-right, bottom-right, bottom-left. When a rotation of the
         * bounding box is detected the rotation is represented as around the
         * top-left corner as defined when the text is read in the 'natural'
         * orientation. For example:  * when the text is horizontal it might look
         * like:          0----1         |    |         3----2  * when it's
         * rotated 180 degrees around the top-left corner it becomes: 2----3 |    |
         * 1----0    and the vertex order will still be (0, 1, 2, 3).
         */
        boundingBox?: Schema$GoogleCloudVisionV1p1beta1BoundingPoly;
        /**
         * Confidence of the OCR results on the block. Range [0, 1].
         */
        confidence?: number;
        /**
         * List of paragraphs in this block (if this blocks is of type text).
         */
        paragraphs?: Schema$GoogleCloudVisionV1p1beta1Paragraph[];
        /**
         * Additional information detected for the block.
         */
        property?: Schema$GoogleCloudVisionV1p1beta1TextAnnotationTextProperty;
    }
    /**
     * A bounding polygon for the detected image annotation.
     */
    interface Schema$GoogleCloudVisionV1p1beta1BoundingPoly {
        /**
         * The bounding polygon normalized vertices.
         */
        normalizedVertices?: Schema$GoogleCloudVisionV1p1beta1NormalizedVertex[];
        /**
         * The bounding polygon vertices.
         */
        vertices?: Schema$GoogleCloudVisionV1p1beta1Vertex[];
    }
    /**
     * Color information consists of RGB channels, score, and the fraction of the
     * image that the color occupies in the image.
     */
    interface Schema$GoogleCloudVisionV1p1beta1ColorInfo {
        /**
         * RGB components of the color.
         */
        color?: Schema$Color;
        /**
         * The fraction of pixels the color occupies in the image. Value in range
         * [0, 1].
         */
        pixelFraction?: number;
        /**
         * Image-specific score for this color. Value in range [0, 1].
         */
        score?: number;
    }
    /**
     * Single crop hint that is used to generate a new crop when serving an image.
     */
    interface Schema$GoogleCloudVisionV1p1beta1CropHint {
        /**
         * The bounding polygon for the crop region. The coordinates of the bounding
         * box are in the original image's scale.
         */
        boundingPoly?: Schema$GoogleCloudVisionV1p1beta1BoundingPoly;
        /**
         * Confidence of this being a salient region.  Range [0, 1].
         */
        confidence?: number;
        /**
         * Fraction of importance of this salient region with respect to the
         * original image.
         */
        importanceFraction?: number;
    }
    /**
     * Set of crop hints that are used to generate new crops when serving images.
     */
    interface Schema$GoogleCloudVisionV1p1beta1CropHintsAnnotation {
        /**
         * Crop hint results.
         */
        cropHints?: Schema$GoogleCloudVisionV1p1beta1CropHint[];
    }
    /**
     * Set of dominant colors and their corresponding scores.
     */
    interface Schema$GoogleCloudVisionV1p1beta1DominantColorsAnnotation {
        /**
         * RGB color values with their score and pixel fraction.
         */
        colors?: Schema$GoogleCloudVisionV1p1beta1ColorInfo[];
    }
    /**
     * Set of detected entity features.
     */
    interface Schema$GoogleCloudVisionV1p1beta1EntityAnnotation {
        /**
         * Image region to which this entity belongs. Not produced for
         * `LABEL_DETECTION` features.
         */
        boundingPoly?: Schema$GoogleCloudVisionV1p1beta1BoundingPoly;
        /**
         * **Deprecated. Use `score` instead.** The accuracy of the entity detection
         * in an image. For example, for an image in which the "Eiffel
         * Tower" entity is detected, this field represents the confidence that
         * there is a tower in the query image. Range [0, 1].
         */
        confidence?: number;
        /**
         * Entity textual description, expressed in its `locale` language.
         */
        description?: string;
        /**
         * The language code for the locale in which the entity textual
         * `description` is expressed.
         */
        locale?: string;
        /**
         * The location information for the detected entity. Multiple `LocationInfo`
         * elements can be present because one location may indicate the location of
         * the scene in the image, and another location may indicate the location of
         * the place where the image was taken. Location information is usually
         * present for landmarks.
         */
        locations?: Schema$GoogleCloudVisionV1p1beta1LocationInfo[];
        /**
         * Opaque entity ID. Some IDs may be available in [Google Knowledge Graph
         * Search API](https://developers.google.com/knowledge-graph/).
         */
        mid?: string;
        /**
         * Some entities may have optional user-supplied `Property` (name/value)
         * fields, such a score or string that qualifies the entity.
         */
        properties?: Schema$GoogleCloudVisionV1p1beta1Property[];
        /**
         * Overall score of the result. Range [0, 1].
         */
        score?: number;
        /**
         * The relevancy of the ICA (Image Content Annotation) label to the image.
         * For example, the relevancy of "tower" is likely higher to an
         * image containing the detected "Eiffel Tower" than to an image
         * containing a detected distant towering building, even though the
         * confidence that there is a tower in each image may be the same. Range [0,
         * 1].
         */
        topicality?: number;
    }
    /**
     * A face annotation object contains the results of face detection.
     */
    interface Schema$GoogleCloudVisionV1p1beta1FaceAnnotation {
        /**
         * Anger likelihood.
         */
        angerLikelihood?: string;
        /**
         * Blurred likelihood.
         */
        blurredLikelihood?: string;
        /**
         * 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.
         */
        boundingPoly?: Schema$GoogleCloudVisionV1p1beta1BoundingPoly;
        /**
         * Detection confidence. Range [0, 1].
         */
        detectionConfidence?: number;
        /**
         * The `fd_bounding_poly` bounding polygon is tighter than the
         * `boundingPoly`, and encloses only the skin part of the face. Typically,
         * it is used to eliminate the face from any image analysis that detects the
         * "amount of skin" visible in an image. It is not based on the
         * landmarker results, only on the initial face detection, hence the
         * <code>fd</code> (face detection) prefix.
         */
        fdBoundingPoly?: Schema$GoogleCloudVisionV1p1beta1BoundingPoly;
        /**
         * Headwear likelihood.
         */
        headwearLikelihood?: string;
        /**
         * Joy likelihood.
         */
        joyLikelihood?: string;
        /**
         * Face landmarking confidence. Range [0, 1].
         */
        landmarkingConfidence?: number;
        /**
         * Detected face landmarks.
         */
        landmarks?: Schema$GoogleCloudVisionV1p1beta1FaceAnnotationLandmark[];
        /**
         * Yaw angle, which indicates the leftward/rightward angle that the face is
         * pointing relative to the vertical plane perpendicular to the image. Range
         * [-180,180].
         */
        panAngle?: number;
        /**
         * Roll angle, which indicates the amount of clockwise/anti-clockwise
         * rotation of the face relative to the image vertical about the axis
         * perpendicular to the face. Range [-180,180].
         */
        rollAngle?: number;
        /**
         * Sorrow likelihood.
         */
        sorrowLikelihood?: string;
        /**
         * Surprise likelihood.
         */
        surpriseLikelihood?: string;
        /**
         * Pitch angle, which indicates the upwards/downwards angle that the face is
         * pointing relative to the image's horizontal plane. Range [-180,180].
         */
        tiltAngle?: number;
        /**
         * Under-exposed likelihood.
         */
        underExposedLikelihood?: string;
    }
    /**
     * A face-specific landmark (for example, a face feature).
     */
    interface Schema$GoogleCloudVisionV1p1beta1FaceAnnotationLandmark {
        /**
         * Face landmark position.
         */
        position?: Schema$GoogleCloudVisionV1p1beta1Position;
        /**
         * Face landmark type.
         */
        type?: string;
    }
    /**
     * The Google Cloud Storage location where the output will be written to.
     */
    interface Schema$GoogleCloudVisionV1p1beta1GcsDestination {
        /**
         * Google Cloud Storage URI where the results will be stored. Results will
         * be in JSON format and preceded by its corresponding input URI. This field
         * can either represent a single file, or a prefix for multiple outputs.
         * Prefixes must end in a `/`.  Examples:  *    File:
         * gs://bucket-name/filename.json *    Prefix: gs://bucket-name/prefix/here/
         * *    File: gs://bucket-name/prefix/here  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?: string;
    }
    /**
     * The Google Cloud Storage location where the input will be read from.
     */
    interface Schema$GoogleCloudVisionV1p1beta1GcsSource {
        /**
         * Google Cloud Storage URI for the input file. This must only be a Google
         * Cloud Storage object. Wildcards are not currently supported.
         */
        uri?: string;
    }
    /**
     * If an image was produced from a file (e.g. a PDF), this message gives
     * information about the source of that image.
     */
    interface Schema$GoogleCloudVisionV1p1beta1ImageAnnotationContext {
        /**
         * If the file was a PDF or TIFF, this field gives the page number within
         * the file used to produce the image.
         */
        pageNumber?: number;
        /**
         * The URI of the file used to produce the image.
         */
        uri?: string;
    }
    /**
     * Stores image properties, such as dominant colors.
     */
    interface Schema$GoogleCloudVisionV1p1beta1ImageProperties {
        /**
         * If present, dominant colors completed successfully.
         */
        dominantColors?: Schema$GoogleCloudVisionV1p1beta1DominantColorsAnnotation;
    }
    /**
     * The desired input location and metadata.
     */
    interface Schema$GoogleCloudVisionV1p1beta1InputConfig {
        /**
         * The Google Cloud Storage location to read the input from.
         */
        gcsSource?: Schema$GoogleCloudVisionV1p1beta1GcsSource;
        /**
         * The type of the file. Currently only "application/pdf" and
         * "image/tiff" are supported. Wildcards are not supported.
         */
        mimeType?: string;
    }
    /**
     * Set of detected objects with bounding boxes.
     */
    interface Schema$GoogleCloudVisionV1p1beta1LocalizedObjectAnnotation {
        /**
         * Image region to which this object belongs. This must be populated.
         */
        boundingPoly?: Schema$GoogleCloudVisionV1p1beta1BoundingPoly;
        /**
         * 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.
         */
        languageCode?: string;
        /**
         * Object ID that should align with EntityAnnotation mid.
         */
        mid?: string;
        /**
         * Object name, expressed in its `language_code` language.
         */
        name?: string;
        /**
         * Score of the result. Range [0, 1].
         */
        score?: number;
    }
    /**
     * Detected entity location information.
     */
    interface Schema$GoogleCloudVisionV1p1beta1LocationInfo {
        /**
         * lat/long location coordinates.
         */
        latLng?: Schema$LatLng;
    }
    /**
     * 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.
     */
    interface Schema$GoogleCloudVisionV1p1beta1NormalizedVertex {
        /**
         * X coordinate.
         */
        x?: number;
        /**
         * Y coordinate.
         */
        y?: number;
    }
    /**
     * Contains metadata for the BatchAnnotateImages operation.
     */
    interface Schema$GoogleCloudVisionV1p1beta1OperationMetadata {
        /**
         * The time when the batch request was received.
         */
        createTime?: string;
        /**
         * Current state of the batch operation.
         */
        state?: string;
        /**
         * The time when the operation result was last updated.
         */
        updateTime?: string;
    }
    /**
     * The desired output location and metadata.
     */
    interface Schema$GoogleCloudVisionV1p1beta1OutputConfig {
        /**
         * The max number of response protos to put into each output JSON file on
         * Google Cloud Storage. The valid range is [1, 100]. If not specified, the
         * default value is 20.  For example, for one pdf file with 100 pages, 100
         * response protos will be generated. If `batch_size` = 20, then 5 json
         * files each containing 20 response protos will be written under the prefix
         * `gcs_destination`.`uri`.  Currently, batch_size only applies to
         * GcsDestination, with potential future support for other output
         * configurations.
         */
        batchSize?: number;
        /**
         * The Google Cloud Storage location to write the output(s) to.
         */
        gcsDestination?: Schema$GoogleCloudVisionV1p1beta1GcsDestination;
    }
    /**
     * Detected page from OCR.
     */
    interface Schema$GoogleCloudVisionV1p1beta1Page {
        /**
         * List of blocks of text, images etc on this page.
         */
        blocks?: Schema$GoogleCloudVisionV1p1beta1Block[];
        /**
         * Confidence of the OCR results on the page. Range [0, 1].
         */
        confidence?: number;
        /**
         * Page height. For PDFs the unit is points. For images (including TIFFs)
         * the unit is pixels.
         */
        height?: number;
        /**
         * Additional information detected on the page.
         */
        property?: Schema$GoogleCloudVisionV1p1beta1TextAnnotationTextProperty;
        /**
         * Page width. For PDFs the unit is points. For images (including TIFFs) the
         * unit is pixels.
         */
        width?: number;
    }
    /**
     * Structural unit of text representing a number of words in certain order.
     */
    interface Schema$GoogleCloudVisionV1p1beta1Paragraph {
        /**
         * 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).
         */
        boundingBox?: Schema$GoogleCloudVisionV1p1beta1BoundingPoly;
        /**
         * Confidence of the OCR results for the paragraph. Range [0, 1].
         */
        confidence?: number;
        /**
         * Additional information detected for the paragraph.
         */
        property?: Schema$GoogleCloudVisionV1p1beta1TextAnnotationTextProperty;
        /**
         * List of words in this paragraph.
         */
        words?: Schema$GoogleCloudVisionV1p1beta1Word[];
    }
    /**
     * A 3D position in the image, used primarily for Face detection landmarks. A
     * valid Position must have both x and y coordinates. The position coordinates
     * are in the same scale as the original image.
     */
    interface Schema$GoogleCloudVisionV1p1beta1Position {
        /**
         * X coordinate.
         */
        x?: number;
        /**
         * Y coordinate.
         */
        y?: number;
        /**
         * Z coordinate (or depth).
         */
        z?: number;
    }
    /**
     * A Product contains ReferenceImages.
     */
    interface Schema$GoogleCloudVisionV1p1beta1Product {
        /**
         * User-provided metadata to be stored with this product. Must be at most
         * 4096 characters long.
         */
        description?: string;
        /**
         * The user-provided name for this Product. Must not be empty. Must be at
         * most 4096 characters long.
         */
        displayName?: string;
        /**
         * The resource name of the product.  Format is:
         * `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID`.  This field
         * is ignored when creating a product.
         */
        name?: string;
        /**
         * The category for the product identified by the reference image. This
         * should be either "homegoods", "apparel", or
         * "toys".  This field is immutable.
         */
        productCategory?: string;
        /**
         * Key-value pairs that can be attached to a product. At query time,
         * constraints can be specified based on the product_labels.  Note that
         * integer values can be provided as strings, e.g. "1199". Only
         * strings with integer values can match a range-based restriction which is
         * to be supported soon.  Multiple values can be assigned to the same key.
         * One product may have up to 100 product_labels.
         */
        productLabels?: Schema$GoogleCloudVisionV1p1beta1ProductKeyValue[];
    }
    /**
     * A product label represented as a key-value pair.
     */
    interface Schema$GoogleCloudVisionV1p1beta1ProductKeyValue {
        /**
         * The key of the label attached to the product. Cannot be empty and cannot
         * exceed 128 bytes.
         */
        key?: string;
        /**
         * The value of the label attached to the product. Cannot be empty and
         * cannot exceed 128 bytes.
         */
        value?: string;
    }
    /**
     * Results for a product search request.
     */
    interface Schema$GoogleCloudVisionV1p1beta1ProductSearchResults {
        /**
         * Timestamp of the index which provided these results. Changes made after
         * this time are not reflected in the current results.
         */
        indexTime?: string;
        /**
         * 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.
         */
        productGroupedResults?: Schema$GoogleCloudVisionV1p1beta1ProductSearchResultsGroupedResult[];
        /**
         * List of results, one for each product match.
         */
        results?: Schema$GoogleCloudVisionV1p1beta1ProductSearchResultsResult[];
    }
    /**
     * Information about the products similar to a single product in a query
     * image.
     */
    interface Schema$GoogleCloudVisionV1p1beta1ProductSearchResultsGroupedResult {
        /**
         * The bounding polygon around the product detected in the query image.
         */
        boundingPoly?: Schema$GoogleCloudVisionV1p1beta1BoundingPoly;
        /**
         * List of results, one for each product match.
         */
        results?: Schema$GoogleCloudVisionV1p1beta1ProductSearchResultsResult[];
    }
    /**
     * Information about a product.
     */
    interface Schema$GoogleCloudVisionV1p1beta1ProductSearchResultsResult {
        /**
         * The resource name of the image from the product that is the closest match
         * to the query.
         */
        image?: string;
        /**
         * The Product.
         */
        product?: Schema$GoogleCloudVisionV1p1beta1Product;
        /**
         * A confidence level on the match, ranging from 0 (no confidence) to 1
         * (full confidence).
         */
        score?: number;
    }
    /**
     * A `Property` consists of a user-supplied name/value pair.
     */
    interface Schema$GoogleCloudVisionV1p1beta1Property {
        /**
         * Name of the property.
         */
        name?: string;
        /**
         * Value of numeric properties.
         */
        uint64Value?: string;
        /**
         * Value of the property.
         */
        value?: string;
    }
    /**
     * Set of features pertaining to the image, computed by computer vision
     * methods over safe-search verticals (for example, adult, spoof, medical,
     * violence).
     */
    interface Schema$GoogleCloudVisionV1p1beta1SafeSearchAnnotation {
        /**
         * Represents the adult content likelihood for the image. Adult content may
         * contain elements such as nudity, pornographic images or cartoons, or
         * sexual activities.
         */
        adult?: string;
        /**
         * Likelihood that this is a medical image.
         */
        medical?: string;
        /**
         * Likelihood that the request image contains racy content. Racy content may
         * include (but is not limited to) skimpy or sheer clothing, strategically
         * covered nudity, lewd or provocative poses, or close-ups of sensitive body
         * areas.
         */
        racy?: string;
        /**
         * Spoof likelihood. The likelihood that an modification was made to the
         * image's canonical version to make it appear funny or offensive.
         */
        spoof?: string;
        /**
         * Likelihood that this image contains violent content.
         */
        violence?: string;
    }
    /**
     * A single symbol representation.
     */
    interface Schema$GoogleCloudVisionV1p1beta1Symbol {
        /**
         * The bounding box for the symbol. The vertices are in the order of
         * top-left, top-right, bottom-right, bottom-left. When a rotation of the
         * bounding box is detected the rotation is represented as around the
         * top-left corner as defined when the text is read in the 'natural'
         * orientation. For example:   * when the text is horizontal it might look
         * like:      0----1      |    |      3----2   * when it's rotated 180
         * degrees around the top-left corner it becomes:      2----3      |    |
         * 1----0   and the vertice order will still be (0, 1, 2, 3).
         */
        boundingBox?: Schema$GoogleCloudVisionV1p1beta1BoundingPoly;
        /**
         * Confidence of the OCR results for the symbol. Range [0, 1].
         */
        confidence?: number;
        /**
         * Additional information detected for the symbol.
         */
        property?: Schema$GoogleCloudVisionV1p1beta1TextAnnotationTextProperty;
        /**
         * The actual UTF-8 representation of the symbol.
         */
        text?: string;
    }
    /**
     * 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.
     */
    interface Schema$GoogleCloudVisionV1p1beta1TextAnnotation {
        /**
         * List of pages detected by OCR.
         */
        pages?: Schema$GoogleCloudVisionV1p1beta1Page[];
        /**
         * UTF-8 text detected on the pages.
         */
        text?: string;
    }
    /**
     * Detected start or end of a structural component.
     */
    interface Schema$GoogleCloudVisionV1p1beta1TextAnnotationDetectedBreak {
        /**
         * True if break prepends the element.
         */
        isPrefix?: boolean;
        /**
         * Detected break type.
         */
        type?: string;
    }
    /**
     * Detected language for a structural component.
     */
    interface Schema$GoogleCloudVisionV1p1beta1TextAnnotationDetectedLanguage {
        /**
         * Confidence of detected language. Range [0, 1].
         */
        confidence?: number;
        /**
         * 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.
         */
        languageCode?: string;
    }
    /**
     * Additional information detected on the structural component.
     */
    interface Schema$GoogleCloudVisionV1p1beta1TextAnnotationTextProperty {
        /**
         * Detected start or end of a text segment.
         */
        detectedBreak?: Schema$GoogleCloudVisionV1p1beta1TextAnnotationDetectedBreak;
        /**
         * A list of detected languages together with confidence.
         */
        detectedLanguages?: Schema$GoogleCloudVisionV1p1beta1TextAnnotationDetectedLanguage[];
    }
    /**
     * A vertex represents a 2D point in the image. NOTE: the vertex coordinates
     * are in the same scale as the original image.
     */
    interface Schema$GoogleCloudVisionV1p1beta1Vertex {
        /**
         * X coordinate.
         */
        x?: number;
        /**
         * Y coordinate.
         */
        y?: number;
    }
    /**
     * Relevant information for the image from the Internet.
     */
    interface Schema$GoogleCloudVisionV1p1beta1WebDetection {
        /**
         * The service's best guess as to the topic of the request image.
         * Inferred from similar images on the open web.
         */
        bestGuessLabels?: Schema$GoogleCloudVisionV1p1beta1WebDetectionWebLabel[];
        /**
         * Fully matching images from the Internet. Can include resized copies of
         * the query image.
         */
        fullMatchingImages?: Schema$GoogleCloudVisionV1p1beta1WebDetectionWebImage[];
        /**
         * Web pages containing the matching images from the Internet.
         */
        pagesWithMatchingImages?: Schema$GoogleCloudVisionV1p1beta1WebDetectionWebPage[];
        /**
         * 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.
         */
        partialMatchingImages?: Schema$GoogleCloudVisionV1p1beta1WebDetectionWebImage[];
        /**
         * The visually similar image results.
         */
        visuallySimilarImages?: Schema$GoogleCloudVisionV1p1beta1WebDetectionWebImage[];
        /**
         * Deduced entities from similar images on the Internet.
         */
        webEntities?: Schema$GoogleCloudVisionV1p1beta1WebDetectionWebEntity[];
    }
    /**
     * Entity deduced from similar images on the Internet.
     */
    interface Schema$GoogleCloudVisionV1p1beta1WebDetectionWebEntity {
        /**
         * Canonical description of the entity, in English.
         */
        description?: string;
        /**
         * Opaque entity ID.
         */
        entityId?: string;
        /**
         * Overall relevancy score for the entity. Not normalized and not comparable
         * across different image queries.
         */
        score?: number;
    }
    /**
     * Metadata for online images.
     */
    interface Schema$GoogleCloudVisionV1p1beta1WebDetectionWebImage {
        /**
         * (Deprecated) Overall relevancy score for the image.
         */
        score?: number;
        /**
         * The result image URL.
         */
        url?: string;
    }
    /**
     * Label to provide extra metadata for the web detection.
     */
    interface Schema$GoogleCloudVisionV1p1beta1WebDetectionWebLabel {
        /**
         * Label for extra metadata.
         */
        label?: string;
        /**
         * The BCP-47 language code for `label`, such as "en-US" or
         * "sr-Latn". For more information, see
         * http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.
         */
        languageCode?: string;
    }
    /**
     * Metadata for web pages.
     */
    interface Schema$GoogleCloudVisionV1p1beta1WebDetectionWebPage {
        /**
         * Fully matching images on the page. Can include resized copies of the
         * query image.
         */
        fullMatchingImages?: Schema$GoogleCloudVisionV1p1beta1WebDetectionWebImage[];
        /**
         * Title for the web page, may contain HTML markups.
         */
        pageTitle?: string;
        /**
         * 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.
         */
        partialMatchingImages?: Schema$GoogleCloudVisionV1p1beta1WebDetectionWebImage[];
        /**
         * (Deprecated) Overall relevancy score for the web page.
         */
        score?: number;
        /**
         * The result web page URL.
         */
        url?: string;
    }
    /**
     * A word representation.
     */
    interface Schema$GoogleCloudVisionV1p1beta1Word {
        /**
         * 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).
         */
        boundingBox?: Schema$GoogleCloudVisionV1p1beta1BoundingPoly;
        /**
         * Confidence of the OCR results for the word. Range [0, 1].
         */
        confidence?: number;
        /**
         * Additional information detected for the word.
         */
        property?: Schema$GoogleCloudVisionV1p1beta1TextAnnotationTextProperty;
        /**
         * List of symbols in the word. The order of the symbols follows the natural
         * reading order.
         */
        symbols?: Schema$GoogleCloudVisionV1p1beta1Symbol[];
    }
    /**
     * Response to a single file annotation request. A file may contain one or
     * more images, which individually have their own responses.
     */
    interface Schema$GoogleCloudVisionV1p2beta1AnnotateFileResponse {
        /**
         * Information about the file for which this response is generated.
         */
        inputConfig?: Schema$GoogleCloudVisionV1p2beta1InputConfig;
        /**
         * Individual responses to images found within the file.
         */
        responses?: Schema$GoogleCloudVisionV1p2beta1AnnotateImageResponse[];
    }
    /**
     * Request for performing Google Cloud Vision API tasks over a user-provided
     * image, with user-requested features, and with context information.
     */
    interface Schema$GoogleCloudVisionV1p2beta1AnnotateImageRequest {
        /**
         * Requested features.
         */
        features?: Schema$GoogleCloudVisionV1p2beta1Feature[];
        /**
         * The image to be processed.
         */
        image?: Schema$GoogleCloudVisionV1p2beta1Image;
        /**
         * Additional context that may accompany the image.
         */
        imageContext?: Schema$GoogleCloudVisionV1p2beta1ImageContext;
    }
    /**
     * Response to an image annotation request.
     */
    interface Schema$GoogleCloudVisionV1p2beta1AnnotateImageResponse {
        /**
         * If present, contextual information is needed to understand where this
         * image comes from.
         */
        context?: Schema$GoogleCloudVisionV1p2beta1ImageAnnotationContext;
        /**
         * If present, crop hints have completed successfully.
         */
        cropHintsAnnotation?: Schema$GoogleCloudVisionV1p2beta1CropHintsAnnotation;
        /**
         * If set, represents the error message for the operation. Note that
         * filled-in image annotations are guaranteed to be correct, even when
         * `error` is set.
         */
        error?: Schema$Status;
        /**
         * If present, face detection has completed successfully.
         */
        faceAnnotations?: Schema$GoogleCloudVisionV1p2beta1FaceAnnotation[];
        /**
         * If present, text (OCR) detection or document (OCR) text detection has
         * completed successfully. This annotation provides the structural hierarchy
         * for the OCR detected text.
         */
        fullTextAnnotation?: Schema$GoogleCloudVisionV1p2beta1TextAnnotation;
        /**
         * If present, image properties were extracted successfully.
         */
        imagePropertiesAnnotation?: Schema$GoogleCloudVisionV1p2beta1ImageProperties;
        /**
         * If present, label detection has completed successfully.
         */
        labelAnnotations?: Schema$GoogleCloudVisionV1p2beta1EntityAnnotation[];
        /**
         * If present, landmark detection has completed successfully.
         */
        landmarkAnnotations?: Schema$GoogleCloudVisionV1p2beta1EntityAnnotation[];
        /**
         * If present, localized object detection has completed successfully. This
         * will be sorted descending by confidence score.
         */
        localizedObjectAnnotations?: Schema$GoogleCloudVisionV1p2beta1LocalizedObjectAnnotation[];
        /**
         * If present, logo detection has completed successfully.
         */
        logoAnnotations?: Schema$GoogleCloudVisionV1p2beta1EntityAnnotation[];
        /**
         * If present, product search has completed successfully.
         */
        productSearchResults?: Schema$GoogleCloudVisionV1p2beta1ProductSearchResults;
        /**
         * If present, safe-search annotation has completed successfully.
         */
        safeSearchAnnotation?: Schema$GoogleCloudVisionV1p2beta1SafeSearchAnnotation;
        /**
         * If present, text (OCR) detection has completed successfully.
         */
        textAnnotations?: Schema$GoogleCloudVisionV1p2beta1EntityAnnotation[];
        /**
         * If present, web detection has completed successfully.
         */
        webDetection?: Schema$GoogleCloudVisionV1p2beta1WebDetection;
    }
    /**
     * An offline file annotation request.
     */
    interface Schema$GoogleCloudVisionV1p2beta1AsyncAnnotateFileRequest {
        /**
         * Required. Requested features.
         */
        features?: Schema$GoogleCloudVisionV1p2beta1Feature[];
        /**
         * Additional context that may accompany the image(s) in the file.
         */
        imageContext?: Schema$GoogleCloudVisionV1p2beta1ImageContext;
        /**
         * Required. Information about the input file.
         */
        inputConfig?: Schema$GoogleCloudVisionV1p2beta1InputConfig;
        /**
         * Required. The desired output location and metadata (e.g. format).
         */
        outputConfig?: Schema$GoogleCloudVisionV1p2beta1OutputConfig;
    }
    /**
     * The response for a single offline file annotation request.
     */
    interface Schema$GoogleCloudVisionV1p2beta1AsyncAnnotateFileResponse {
        /**
         * The output location and metadata from AsyncAnnotateFileRequest.
         */
        outputConfig?: Schema$GoogleCloudVisionV1p2beta1OutputConfig;
    }
    /**
     * Multiple async file annotation requests are batched into a single service
     * call.
     */
    interface Schema$GoogleCloudVisionV1p2beta1AsyncBatchAnnotateFilesRequest {
        /**
         * Individual async file annotation requests for this batch.
         */
        requests?: Schema$GoogleCloudVisionV1p2beta1AsyncAnnotateFileRequest[];
    }
    /**
     * Response to an async batch file annotation request.
     */
    interface Schema$GoogleCloudVisionV1p2beta1AsyncBatchAnnotateFilesResponse {
        /**
         * The list of file annotation responses, one for each request in
         * AsyncBatchAnnotateFilesRequest.
         */
        responses?: Schema$GoogleCloudVisionV1p2beta1AsyncAnnotateFileResponse[];
    }
    /**
     * Multiple image annotation requests are batched into a single service call.
     */
    interface Schema$GoogleCloudVisionV1p2beta1BatchAnnotateImagesRequest {
        /**
         * Individual image annotation requests for this batch.
         */
        requests?: Schema$GoogleCloudVisionV1p2beta1AnnotateImageRequest[];
    }
    /**
     * Response to a batch image annotation request.
     */
    interface Schema$GoogleCloudVisionV1p2beta1BatchAnnotateImagesResponse {
        /**
         * Individual responses to image annotation requests within the batch.
         */
        responses?: Schema$GoogleCloudVisionV1p2beta1AnnotateImageResponse[];
    }
    /**
     * Logical element on the page.
     */
    interface Schema$GoogleCloudVisionV1p2beta1Block {
        /**
         * Detected block type (text, image etc) for this block.
         */
        blockType?: string;
        /**
         * The bounding box for the block. The vertices are in the order of
         * top-left, top-right, bottom-right, bottom-left. When a rotation of the
         * bounding box is detected the rotation is represented as around the
         * top-left corner as defined when the text is read in the 'natural'
         * orientation. For example:  * when the text is horizontal it might look
         * like:          0----1         |    |         3----2  * when it's
         * rotated 180 degrees around the top-left corner it becomes: 2----3 |    |
         * 1----0    and the vertex order will still be (0, 1, 2, 3).
         */
        boundingBox?: Schema$GoogleCloudVisionV1p2beta1BoundingPoly;
        /**
         * Confidence of the OCR results on the block. Range [0, 1].
         */
        confidence?: number;
        /**
         * List of paragraphs in this block (if this blocks is of type text).
         */
        paragraphs?: Schema$GoogleCloudVisionV1p2beta1Paragraph[];
        /**
         * Additional information detected for the block.
         */
        property?: Schema$GoogleCloudVisionV1p2beta1TextAnnotationTextProperty;
    }
    /**
     * A bounding polygon for the detected image annotation.
     */
    interface Schema$GoogleCloudVisionV1p2beta1BoundingPoly {
        /**
         * The bounding polygon normalized vertices.
         */
        normalizedVertices?: Schema$GoogleCloudVisionV1p2beta1NormalizedVertex[];
        /**
         * The bounding polygon vertices.
         */
        vertices?: Schema$GoogleCloudVisionV1p2beta1Vertex[];
    }
    /**
     * Color information consists of RGB channels, score, and the fraction of the
     * image that the color occupies in the image.
     */
    interface Schema$GoogleCloudVisionV1p2beta1ColorInfo {
        /**
         * RGB components of the color.
         */
        color?: Schema$Color;
        /**
         * The fraction of pixels the color occupies in the image. Value in range
         * [0, 1].
         */
        pixelFraction?: number;
        /**
         * Image-specific score for this color. Value in range [0, 1].
         */
        score?: number;
    }
    /**
     * Single crop hint that is used to generate a new crop when serving an image.
     */
    interface Schema$GoogleCloudVisionV1p2beta1CropHint {
        /**
         * The bounding polygon for the crop region. The coordinates of the bounding
         * box are in the original image's scale.
         */
        boundingPoly?: Schema$GoogleCloudVisionV1p2beta1BoundingPoly;
        /**
         * Confidence of this being a salient region.  Range [0, 1].
         */
        confidence?: number;
        /**
         * Fraction of importance of this salient region with respect to the
         * original image.
         */
        importanceFraction?: number;
    }
    /**
     * Set of crop hints that are used to generate new crops when serving images.
     */
    interface Schema$GoogleCloudVisionV1p2beta1CropHintsAnnotation {
        /**
         * Crop hint results.
         */
        cropHints?: Schema$GoogleCloudVisionV1p2beta1CropHint[];
    }
    /**
     * Parameters for crop hints annotation request.
     */
    interface Schema$GoogleCloudVisionV1p2beta1CropHintsParams {
        /**
         * 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?: number[];
    }
    /**
     * Set of dominant colors and their corresponding scores.
     */
    interface Schema$GoogleCloudVisionV1p2beta1DominantColorsAnnotation {
        /**
         * RGB color values with their score and pixel fraction.
         */
        colors?: Schema$GoogleCloudVisionV1p2beta1ColorInfo[];
    }
    /**
     * Set of detected entity features.
     */
    interface Schema$GoogleCloudVisionV1p2beta1EntityAnnotation {
        /**
         * Image region to which this entity belongs. Not produced for
         * `LABEL_DETECTION` features.
         */
        boundingPoly?: Schema$GoogleCloudVisionV1p2beta1BoundingPoly;
        /**
         * **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].
         */
        confidence?: number;
        /**
         * Entity textual description, expressed in its `locale` language.
         */
        description?: string;
        /**
         * The language code for the locale in which the entity textual
         * `description` is expressed.
         */
        locale?: string;
        /**
         * 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.
         */
        locations?: Schema$GoogleCloudVisionV1p2beta1LocationInfo[];
        /**
         * Opaque entity ID. Some IDs may be available in [Google Knowledge Graph
         * Search API](https://developers.google.com/knowledge-graph/).
         */
        mid?: string;
        /**
         * Some entities may have optional user-supplied `Property` (name/value)
         * fields, such a score or string that qualifies the entity.
         */
        properties?: Schema$GoogleCloudVisionV1p2beta1Property[];
        /**
         * Overall score of the result. Range [0, 1].
         */
        score?: number;
        /**
         * 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].
         */
        topicality?: number;
    }
    /**
     * A face annotation object contains the results of face detection.
     */
    interface Schema$GoogleCloudVisionV1p2beta1FaceAnnotation {
        /**
         * Anger likelihood.
         */
        angerLikelihood?: string;
        /**
         * Blurred likelihood.
         */
        blurredLikelihood?: string;
        /**
         * The bounding polygon around the face. The coordinates of the bounding box
         * are in the original image's scale. The bounding box is computed to
         * "frame" the face in accordance with human expectations. It is
         * based on the landmarker results. Note that one or more x and/or y
         * coordinates may not be generated in the `BoundingPoly` (the polygon will
         * be unbounded) if only a partial face appears in the image to be
         * annotated.
         */
        boundingPoly?: Schema$GoogleCloudVisionV1p2beta1BoundingPoly;
        /**
         * Detection confidence. Range [0, 1].
         */
        detectionConfidence?: number;
        /**
         * The `fd_bounding_poly` bounding polygon is tighter than the
         * `boundingPoly`, and encloses only the skin part of the face. Typically,
         * it is used to eliminate the face from any image analysis that detects the
         * "amount of skin" visible in an image. It is not based on the
         * landmarker results, only on the initial face detection, hence the
         * <code>fd</code> (face detection) prefix.
         */
        fdBoundingPoly?: Schema$GoogleCloudVisionV1p2beta1BoundingPoly;
        /**
         * Headwear likelihood.
         */
        headwearLikelihood?: string;
        /**
         * Joy likelihood.
         */
        joyLikelihood?: string;
        /**
         * Face landmarking confidence. Range [0, 1].
         */
        landmarkingConfidence?: number;
        /**
         * Detected face landmarks.
         */
        landmarks?: Schema$GoogleCloudVisionV1p2beta1FaceAnnotationLandmark[];
        /**
         * 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].
         */
        panAngle?: number;
        /**
         * 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].
         */
        rollAngle?: number;
        /**
         * Sorrow likelihood.
         */
        sorrowLikelihood?: string;
        /**
         * Surprise likelihood.
         */
        surpriseLikelihood?: string;
        /**
         * Pitch angle, which indicates the upwards/downwards angle that the face is
         * pointing relative to the image's horizontal plane. Range [-180,180].
         */
        tiltAngle?: number;
        /**
         * Under-exposed likelihood.
         */
        underExposedLikelihood?: string;
    }
    /**
     * A face-specific landmark (for example, a face feature).
     */
    interface Schema$GoogleCloudVisionV1p2beta1FaceAnnotationLandmark {
        /**
         * Face landmark position.
         */
        position?: Schema$GoogleCloudVisionV1p2beta1Position;
        /**
         * Face landmark type.
         */
        type?: string;
    }
    /**
     * 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.
     */
    interface Schema$GoogleCloudVisionV1p2beta1Feature {
        /**
         * Maximum number of results of this type. Does not apply to
         * `TEXT_DETECTION`, `DOCUMENT_TEXT_DETECTION`, or `CROP_HINTS`.
         */
        maxResults?: number;
        /**
         * Model to use for the feature. Supported values:
         * "builtin/stable" (the default if unset) and
         * "builtin/latest".
         */
        model?: string;
        /**
         * The feature type.
         */
        type?: string;
    }
    /**
     * The Google Cloud Storage location where the output will be written to.
     */
    interface Schema$GoogleCloudVisionV1p2beta1GcsDestination {
        /**
         * Google Cloud Storage URI where the results will be stored. Results will
         * be in JSON format and preceded by its corresponding input URI. This field
         * can either represent a single file, or a prefix for multiple outputs.
         * Prefixes must end in a `/`.  Examples:  *    File:
         * gs://bucket-name/filename.json *    Prefix: gs://bucket-name/prefix/here/
         * *    File: gs://bucket-name/prefix/here  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?: string;
    }
    /**
     * The Google Cloud Storage location where the input will be read from.
     */
    interface Schema$GoogleCloudVisionV1p2beta1GcsSource {
        /**
         * Google Cloud Storage URI for the input file. This must only be a Google
         * Cloud Storage object. Wildcards are not currently supported.
         */
        uri?: string;
    }
    /**
     * Client image to perform Google Cloud Vision API tasks over.
     */
    interface Schema$GoogleCloudVisionV1p2beta1Image {
        /**
         * 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.
         */
        content?: string;
        /**
         * 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.
         */
        source?: Schema$GoogleCloudVisionV1p2beta1ImageSource;
    }
    /**
     * If an image was produced from a file (e.g. a PDF), this message gives
     * information about the source of that image.
     */
    interface Schema$GoogleCloudVisionV1p2beta1ImageAnnotationContext {
        /**
         * If the file was a PDF or TIFF, this field gives the page number within
         * the file used to produce the image.
         */
        pageNumber?: number;
        /**
         * The URI of the file used to produce the image.
         */
        uri?: string;
    }
    /**
     * Image context and/or feature-specific parameters.
     */
    interface Schema$GoogleCloudVisionV1p2beta1ImageContext {
        /**
         * Parameters for crop hints annotation request.
         */
        cropHintsParams?: Schema$GoogleCloudVisionV1p2beta1CropHintsParams;
        /**
         * List of languages to use for TEXT_DETECTION. In most cases, an empty
         * value yields the best results since it enables automatic language
         * detection. For languages based on the Latin alphabet, setting
         * `language_hints` is not needed. In rare cases, when the language of the
         * text in the image is known, setting a hint will help get better results
         * (although it will be a significant hindrance if the hint is wrong). Text
         * detection returns an error if one or more of the specified languages is
         * not one of the [supported languages](/vision/docs/languages).
         */
        languageHints?: string[];
        /**
         * Not used.
         */
        latLongRect?: Schema$GoogleCloudVisionV1p2beta1LatLongRect;
        /**
         * Parameters for product search.
         */
        productSearchParams?: Schema$GoogleCloudVisionV1p2beta1ProductSearchParams;
        /**
         * Parameters for web detection.
         */
        webDetectionParams?: Schema$GoogleCloudVisionV1p2beta1WebDetectionParams;
    }
    /**
     * Stores image properties, such as dominant colors.
     */
    interface Schema$GoogleCloudVisionV1p2beta1ImageProperties {
        /**
         * If present, dominant colors completed successfully.
         */
        dominantColors?: Schema$GoogleCloudVisionV1p2beta1DominantColorsAnnotation;
    }
    /**
     * External image source (Google Cloud Storage or web URL image location).
     */
    interface Schema$GoogleCloudVisionV1p2beta1ImageSource {
        /**
         * **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.
         */
        gcsImageUri?: string;
        /**
         * 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.
         */
        imageUri?: string;
    }
    /**
     * The desired input location and metadata.
     */
    interface Schema$GoogleCloudVisionV1p2beta1InputConfig {
        /**
         * The Google Cloud Storage location to read the input from.
         */
        gcsSource?: Schema$GoogleCloudVisionV1p2beta1GcsSource;
        /**
         * The type of the file. Currently only "application/pdf" and
         * "image/tiff" are supported. Wildcards are not supported.
         */
        mimeType?: string;
    }
    /**
     * Rectangle determined by min and max `LatLng` pairs.
     */
    interface Schema$GoogleCloudVisionV1p2beta1LatLongRect {
        /**
         * Max lat/long pair.
         */
        maxLatLng?: Schema$LatLng;
        /**
         * Min lat/long pair.
         */
        minLatLng?: Schema$LatLng;
    }
    /**
     * Set of detected objects with bounding boxes.
     */
    interface Schema$GoogleCloudVisionV1p2beta1LocalizedObjectAnnotation {
        /**
         * Image region to which this object belongs. This must be populated.
         */
        boundingPoly?: Schema$GoogleCloudVisionV1p2beta1BoundingPoly;
        /**
         * The BCP-47 language code, such as "en-US" or
         * "sr-Latn". For more information, see
         * http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.
         */
        languageCode?: string;
        /**
         * Object ID that should align with EntityAnnotation mid.
         */
        mid?: string;
        /**
         * Object name, expressed in its `language_code` language.
         */
        name?: string;
        /**
         * Score of the result. Range [0, 1].
         */
        score?: number;
    }
    /**
     * Detected entity location information.
     */
    interface Schema$GoogleCloudVisionV1p2beta1LocationInfo {
        /**
         * lat/long location coordinates.
         */
        latLng?: Schema$LatLng;
    }
    /**
     * A vertex represents a 2D point in the image. NOTE: the normalized vertex
     * coordinates are relative to the original image and range from 0 to 1.
     */
    interface Schema$GoogleCloudVisionV1p2beta1NormalizedVertex {
        /**
         * X coordinate.
         */
        x?: number;
        /**
         * Y coordinate.
         */
        y?: number;
    }
    /**
     * Contains metadata for the BatchAnnotateImages operation.
     */
    interface Schema$GoogleCloudVisionV1p2beta1OperationMetadata {
        /**
         * The time when the batch request was received.
         */
        createTime?: string;
        /**
         * Current state of the batch operation.
         */
        state?: string;
        /**
         * The time when the operation result was last updated.
         */
        updateTime?: string;
    }
    /**
     * The desired output location and metadata.
     */
    interface Schema$GoogleCloudVisionV1p2beta1OutputConfig {
        /**
         * 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.
         */
        batchSize?: number;
        /**
         * The Google Cloud Storage location to write the output(s) to.
         */
        gcsDestination?: Schema$GoogleCloudVisionV1p2beta1GcsDestination;
    }
    /**
     * Detected page from OCR.
     */
    interface Schema$GoogleCloudVisionV1p2beta1Page {
        /**
         * List of blocks of text, images etc on this page.
         */
        blocks?: Schema$GoogleCloudVisionV1p2beta1Block[];
        /**
         * Confidence of the OCR results on the page. Range [0, 1].
         */
        confidence?: number;
        /**
         * Page height. For PDFs the unit is points. For images (including TIFFs)
         * the unit is pixels.
         */
        height?: number;
        /**
         * Additional information detected on the page.
         */
        property?: Schema$GoogleCloudVisionV1p2beta1TextAnnotationTextProperty;
        /**
         * Page width. For PDFs the unit is points. For images (including TIFFs) the
         * unit is pixels.
         */
        width?: number;
    }
    /**
     * Structural unit of text representing a number of words in certain order.
     */
    interface Schema$GoogleCloudVisionV1p2beta1Paragraph {
        /**
         * The bounding box for the paragraph. The vertices are in the order of
         * top-left, top-right, bottom-right, bottom-left. When a rotation of the
         * bounding box is detected the rotation is represented as around the
         * top-left corner as defined when the text is read in the 'natural'
         * orientation. For example:   * when the text is horizontal it might look
         * like:      0----1      |    |      3----2   * when it's rotated 180
         * degrees around the top-left corner it becomes:      2----3      |    |
         * 1----0   and the vertex order will still be (0, 1, 2, 3).
         */
        boundingBox?: Schema$GoogleCloudVisionV1p2beta1BoundingPoly;
        /**
         * Confidence of the OCR results for the paragraph. Range [0, 1].
         */
        confidence?: number;
        /**
         * Additional information detected for the paragraph.
         */
        property?: Schema$GoogleCloudVisionV1p2beta1TextAnnotationTextProperty;
        /**
         * List of words in this paragraph.
         */
        words?: Schema$GoogleCloudVisionV1p2beta1Word[];
    }
    /**
     * 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.
     */
    interface Schema$GoogleCloudVisionV1p2beta1Position {
        /**
         * X coordinate.
         */
        x?: number;
        /**
         * Y coordinate.
         */
        y?: number;
        /**
         * Z coordinate (or depth).
         */
        z?: number;
    }
    /**
     * A Product contains ReferenceImages.
     */
    interface Schema$GoogleCloudVisionV1p2beta1Product {
        /**
         * User-provided metadata to be stored with this product. Must be at most
         * 4096 characters long.
         */
        description?: string;
        /**
         * The user-provided name for this Product. Must not be empty. Must be at
         * most 4096 characters long.
         */
        displayName?: string;
        /**
         * The resource name of the product.  Format is:
         * `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID`.  This field
         * is ignored when creating a product.
         */
        name?: string;
        /**
         * The category for the product identified by the reference image. This
         * should be either "homegoods", "apparel", or
         * "toys".  This field is immutable.
         */
        productCategory?: string;
        /**
         * Key-value pairs that can be attached to a product. At query time,
         * constraints can be specified based on the product_labels.  Note that
         * integer values can be provided as strings, e.g. "1199". Only
         * strings with integer values can match a range-based restriction which is
         * to be supported soon.  Multiple values can be assigned to the same key.
         * One product may have up to 100 product_labels.
         */
        productLabels?: Schema$GoogleCloudVisionV1p2beta1ProductKeyValue[];
    }
    /**
     * A product label represented as a key-value pair.
     */
    interface Schema$GoogleCloudVisionV1p2beta1ProductKeyValue {
        /**
         * The key of the label attached to the product. Cannot be empty and cannot
         * exceed 128 bytes.
         */
        key?: string;
        /**
         * The value of the label attached to the product. Cannot be empty and
         * cannot exceed 128 bytes.
         */
        value?: string;
    }
    /**
     * Parameters for a product search request.
     */
    interface Schema$GoogleCloudVisionV1p2beta1ProductSearchParams {
        /**
         * The bounding polygon around the area of interest in the image. Optional.
         * If it is not specified, system discretion will be applied.
         */
        boundingPoly?: Schema$GoogleCloudVisionV1p2beta1BoundingPoly;
        /**
         * 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.
         * For example, "(color = red OR color = blue) AND brand = Google"
         * is acceptable, but not "(color = red OR brand = Google)" or
         * "color: red".
         */
        filter?: string;
        /**
         * The list of product categories to search in. Currently, we only consider
         * the first category, and either "homegoods",
         * "apparel", or "toys" should be specified.
         */
        productCategories?: string[];
        /**
         * The resource name of a ProductSet to be searched for similar images.
         * Format is:
         * `projects/PROJECT_ID/locations/LOC_ID/productSets/PRODUCT_SET_ID`.
         */
        productSet?: string;
    }
    /**
     * Results for a product search request.
     */
    interface Schema$GoogleCloudVisionV1p2beta1ProductSearchResults {
        /**
         * Timestamp of the index which provided these results. Changes made after
         * this time are not reflected in the current results.
         */
        indexTime?: string;
        /**
         * List of results grouped by products detected in the query image. Each
         * entry corresponds to one bounding polygon in the query image, and
         * contains the matching products specific to that region. There may be
         * duplicate product matches in the union of all the per-product results.
         */
        productGroupedResults?: Schema$GoogleCloudVisionV1p2beta1ProductSearchResultsGroupedResult[];
        /**
         * List of results, one for each product match.
         */
        results?: Schema$GoogleCloudVisionV1p2beta1ProductSearchResultsResult[];
    }
    /**
     * Information about the products similar to a single product in a query
     * image.
     */
    interface Schema$GoogleCloudVisionV1p2beta1ProductSearchResultsGroupedResult {
        /**
         * The bounding polygon around the product detected in the query image.
         */
        boundingPoly?: Schema$GoogleCloudVisionV1p2beta1BoundingPoly;
        /**
         * List of results, one for each product match.
         */
        results?: Schema$GoogleCloudVisionV1p2beta1ProductSearchResultsResult[];
    }
    /**
     * Information about a product.
     */
    interface Schema$GoogleCloudVisionV1p2beta1ProductSearchResultsResult {
        /**
         * The resource name of the image from the product that is the closest match
         * to the query.
         */
        image?: string;
        /**
         * The Product.
         */
        product?: Schema$GoogleCloudVisionV1p2beta1Product;
        /**
         * A confidence level on the match, ranging from 0 (no confidence) to 1
         * (full confidence).
         */
        score?: number;
    }
    /**
     * A `Property` consists of a user-supplied name/value pair.
     */
    interface Schema$GoogleCloudVisionV1p2beta1Property {
        /**
         * Name of the property.
         */
        name?: string;
        /**
         * Value of numeric properties.
         */
        uint64Value?: string;
        /**
         * Value of the property.
         */
        value?: string;
    }
    /**
     * Set of features pertaining to the image, computed by computer vision
     * methods over safe-search verticals (for example, adult, spoof, medical,
     * violence).
     */
    interface Schema$GoogleCloudVisionV1p2beta1SafeSearchAnnotation {
        /**
         * Represents the adult content likelihood for the image. Adult content may
         * contain elements such as nudity, pornographic images or cartoons, or
         * sexual activities.
         */
        adult?: string;
        /**
         * Likelihood that this is a medical image.
         */
        medical?: string;
        /**
         * Likelihood that the request image contains racy content. Racy content may
         * include (but is not limited to) skimpy or sheer clothing, strategically
         * covered nudity, lewd or provocative poses, or close-ups of sensitive body
         * areas.
         */
        racy?: string;
        /**
         * Spoof likelihood. The likelihood that an modification was made to the
         * image's canonical version to make it appear funny or offensive.
         */
        spoof?: string;
        /**
         * Likelihood that this image contains violent content.
         */
        violence?: string;
    }
    /**
     * A single symbol representation.
     */
    interface Schema$GoogleCloudVisionV1p2beta1Symbol {
        /**
         * The bounding box for the symbol. The vertices are in the order of
         * top-left, top-right, bottom-right, bottom-left. When a rotation of the
         * bounding box is detected the rotation is represented as around the
         * top-left corner as defined when the text is read in the 'natural'
         * orientation. For example:   * when the text is horizontal it might look
         * like:      0----1      |    |      3----2   * when it's rotated 180
         * degrees around the top-left corner it becomes:      2----3      |    |
         * 1----0   and the vertice order will still be (0, 1, 2, 3).
         */
        boundingBox?: Schema$GoogleCloudVisionV1p2beta1BoundingPoly;
        /**
         * Confidence of the OCR results for the symbol. Range [0, 1].
         */
        confidence?: number;
        /**
         * Additional information detected for the symbol.
         */
        property?: Schema$GoogleCloudVisionV1p2beta1TextAnnotationTextProperty;
        /**
         * The actual UTF-8 representation of the symbol.
         */
        text?: string;
    }
    /**
     * TextAnnotation contains a structured representation of OCR extracted text.
     * The hierarchy of an OCR extracted text structure is like this:
     * TextAnnotation -> Page -> Block -> Paragraph -> Word ->
     * Symbol Each structural component, starting from Page, may further have
     * their own properties. Properties describe detected languages, breaks etc..
     * Please refer to the TextAnnotation.TextProperty message definition below
     * for more detail.
     */
    interface Schema$GoogleCloudVisionV1p2beta1TextAnnotation {
        /**
         * List of pages detected by OCR.
         */
        pages?: Schema$GoogleCloudVisionV1p2beta1Page[];
        /**
         * UTF-8 text detected on the pages.
         */
        text?: string;
    }
    /**
     * Detected start or end of a structural component.
     */
    interface Schema$GoogleCloudVisionV1p2beta1TextAnnotationDetectedBreak {
        /**
         * True if break prepends the element.
         */
        isPrefix?: boolean;
        /**
         * Detected break type.
         */
        type?: string;
    }
    /**
     * Detected language for a structural component.
     */
    interface Schema$GoogleCloudVisionV1p2beta1TextAnnotationDetectedLanguage {
        /**
         * Confidence of detected language. Range [0, 1].
         */
        confidence?: number;
        /**
         * The BCP-47 language code, such as "en-US" or
         * "sr-Latn". For more information, see
         * http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.
         */
        languageCode?: string;
    }
    /**
     * Additional information detected on the structural component.
     */
    interface Schema$GoogleCloudVisionV1p2beta1TextAnnotationTextProperty {
        /**
         * Detected start or end of a text segment.
         */
        detectedBreak?: Schema$GoogleCloudVisionV1p2beta1TextAnnotationDetectedBreak;
        /**
         * A list of detected languages together with confidence.
         */
        detectedLanguages?: Schema$GoogleCloudVisionV1p2beta1TextAnnotationDetectedLanguage[];
    }
    /**
     * A vertex represents a 2D point in the image. NOTE: the vertex coordinates
     * are in the same scale as the original image.
     */
    interface Schema$GoogleCloudVisionV1p2beta1Vertex {
        /**
         * X coordinate.
         */
        x?: number;
        /**
         * Y coordinate.
         */
        y?: number;
    }
    /**
     * Relevant information for the image from the Internet.
     */
    interface Schema$GoogleCloudVisionV1p2beta1WebDetection {
        /**
         * The service's best guess as to the topic of the request image.
         * Inferred from similar images on the open web.
         */
        bestGuessLabels?: Schema$GoogleCloudVisionV1p2beta1WebDetectionWebLabel[];
        /**
         * Fully matching images from the Internet. Can include resized copies of
         * the query image.
         */
        fullMatchingImages?: Schema$GoogleCloudVisionV1p2beta1WebDetectionWebImage[];
        /**
         * Web pages containing the matching images from the Internet.
         */
        pagesWithMatchingImages?: Schema$GoogleCloudVisionV1p2beta1WebDetectionWebPage[];
        /**
         * Partial matching images from the Internet. Those images are similar
         * enough to share some key-point features. For example an original image
         * will likely have partial matching for its crops.
         */
        partialMatchingImages?: Schema$GoogleCloudVisionV1p2beta1WebDetectionWebImage[];
        /**
         * The visually similar image results.
         */
        visuallySimilarImages?: Schema$GoogleCloudVisionV1p2beta1WebDetectionWebImage[];
        /**
         * Deduced entities from similar images on the Internet.
         */
        webEntities?: Schema$GoogleCloudVisionV1p2beta1WebDetectionWebEntity[];
    }
    /**
     * Parameters for web detection request.
     */
    interface Schema$GoogleCloudVisionV1p2beta1WebDetectionParams {
        /**
         * Whether to include results derived from the geo information in the image.
         */
        includeGeoResults?: boolean;
    }
    /**
     * Entity deduced from similar images on the Internet.
     */
    interface Schema$GoogleCloudVisionV1p2beta1WebDetectionWebEntity {
        /**
         * Canonical description of the entity, in English.
         */
        description?: string;
        /**
         * Opaque entity ID.
         */
        entityId?: string;
        /**
         * Overall relevancy score for the entity. Not normalized and not comparable
         * across different image queries.
         */
        score?: number;
    }
    /**
     * Metadata for online images.
     */
    interface Schema$GoogleCloudVisionV1p2beta1WebDetectionWebImage {
        /**
         * (Deprecated) Overall relevancy score for the image.
         */
        score?: number;
        /**
         * The result image URL.
         */
        url?: string;
    }
    /**
     * Label to provide extra metadata for the web detection.
     */
    interface Schema$GoogleCloudVisionV1p2beta1WebDetectionWebLabel {
        /**
         * Label for extra metadata.
         */
        label?: string;
        /**
         * The BCP-47 language code for `label`, such as "en-US" or
         * "sr-Latn". For more information, see
         * http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.
         */
        languageCode?: string;
    }
    /**
     * Metadata for web pages.
     */
    interface Schema$GoogleCloudVisionV1p2beta1WebDetectionWebPage {
        /**
         * Fully matching images on the page. Can include resized copies of the
         * query image.
         */
        fullMatchingImages?: Schema$GoogleCloudVisionV1p2beta1WebDetectionWebImage[];
        /**
         * Title for the web page, may contain HTML markups.
         */
        pageTitle?: string;
        /**
         * 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.
         */
        partialMatchingImages?: Schema$GoogleCloudVisionV1p2beta1WebDetectionWebImage[];
        /**
         * (Deprecated) Overall relevancy score for the web page.
         */
        score?: number;
        /**
         * The result web page URL.
         */
        url?: string;
    }
    /**
     * A word representation.
     */
    interface Schema$GoogleCloudVisionV1p2beta1Word {
        /**
         * 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).
         */
        boundingBox?: Schema$GoogleCloudVisionV1p2beta1BoundingPoly;
        /**
         * Confidence of the OCR results for the word. Range [0, 1].
         */
        confidence?: number;
        /**
         * Additional information detected for the word.
         */
        property?: Schema$GoogleCloudVisionV1p2beta1TextAnnotationTextProperty;
        /**
         * List of symbols in the word. The order of the symbols follows the natural
         * reading order.
         */
        symbols?: Schema$GoogleCloudVisionV1p2beta1Symbol[];
    }
    /**
     * Response to a single file annotation request. A file may contain one or
     * more images, which individually have their own responses.
     */
    interface Schema$GoogleCloudVisionV1p3beta1AnnotateFileResponse {
        /**
         * Information about the file for which this response is generated.
         */
        inputConfig?: Schema$GoogleCloudVisionV1p3beta1InputConfig;
        /**
         * Individual responses to images found within the file.
         */
        responses?: Schema$GoogleCloudVisionV1p3beta1AnnotateImageResponse[];
    }
    /**
     * Response to an image annotation request.
     */
    interface Schema$GoogleCloudVisionV1p3beta1AnnotateImageResponse {
        /**
         * If present, contextual information is needed to understand where this
         * image comes from.
         */
        context?: Schema$GoogleCloudVisionV1p3beta1ImageAnnotationContext;
        /**
         * If present, crop hints have completed successfully.
         */
        cropHintsAnnotation?: Schema$GoogleCloudVisionV1p3beta1CropHintsAnnotation;
        /**
         * If set, represents the error message for the operation. Note that
         * filled-in image annotations are guaranteed to be correct, even when
         * `error` is set.
         */
        error?: Schema$Status;
        /**
         * If present, face detection has completed successfully.
         */
        faceAnnotations?: Schema$GoogleCloudVisionV1p3beta1FaceAnnotation[];
        /**
         * If present, text (OCR) detection or document (OCR) text detection has
         * completed successfully. This annotation provides the structural hierarchy
         * for the OCR detected text.
         */
        fullTextAnnotation?: Schema$GoogleCloudVisionV1p3beta1TextAnnotation;
        /**
         * If present, image properties were extracted successfully.
         */
        imagePropertiesAnnotation?: Schema$GoogleCloudVisionV1p3beta1ImageProperties;
        /**
         * If present, label detection has completed successfully.
         */
        labelAnnotations?: Schema$GoogleCloudVisionV1p3beta1EntityAnnotation[];
        /**
         * If present, landmark detection has completed successfully.
         */
        landmarkAnnotations?: Schema$GoogleCloudVisionV1p3beta1EntityAnnotation[];
        /**
         * If present, localized object detection has completed successfully. This
         * will be sorted descending by confidence score.
         */
        localizedObjectAnnotations?: Schema$GoogleCloudVisionV1p3beta1LocalizedObjectAnnotation[];
        /**
         * If present, logo detection has completed successfully.
         */
        logoAnnotations?: Schema$GoogleCloudVisionV1p3beta1EntityAnnotation[];
        /**
         * If present, product search has completed successfully.
         */
        productSearchResults?: Schema$GoogleCloudVisionV1p3beta1ProductSearchResults;
        /**
         * If present, safe-search annotation has completed successfully.
         */
        safeSearchAnnotation?: Schema$GoogleCloudVisionV1p3beta1SafeSearchAnnotation;
        /**
         * If present, text (OCR) detection has completed successfully.
         */
        textAnnotations?: Schema$GoogleCloudVisionV1p3beta1EntityAnnotation[];
        /**
         * If present, web detection has completed successfully.
         */
        webDetection?: Schema$GoogleCloudVisionV1p3beta1WebDetection;
    }
    /**
     * The response for a single offline file annotation request.
     */
    interface Schema$GoogleCloudVisionV1p3beta1AsyncAnnotateFileResponse {
        /**
         * The output location and metadata from AsyncAnnotateFileRequest.
         */
        outputConfig?: Schema$GoogleCloudVisionV1p3beta1OutputConfig;
    }
    /**
     * Response to an async batch file annotation request.
     */
    interface Schema$GoogleCloudVisionV1p3beta1AsyncBatchAnnotateFilesResponse {
        /**
         * The list of file annotation responses, one for each request in
         * AsyncBatchAnnotateFilesRequest.
         */
        responses?: Schema$GoogleCloudVisionV1p3beta1AsyncAnnotateFileResponse[];
    }
    /**
     * Metadata for the batch operations such as the current state.  This is
     * included in the `metadata` field of the `Operation` returned by the
     * `GetOperation` call of the `google::longrunning::Operations` service.
     */
    interface Schema$GoogleCloudVisionV1p3beta1BatchOperationMetadata {
        /**
         * The time when the batch request is finished and
         * google.longrunning.Operation.done is set to true.
         */
        endTime?: string;
        /**
         * The current state of the batch operation.
         */
        state?: string;
        /**
         * The time when the batch request was submitted to the server.
         */
        submitTime?: string;
    }
    /**
     * Logical element on the page.
     */
    interface Schema$GoogleCloudVisionV1p3beta1Block {
        /**
         * Detected block type (text, image etc) for this block.
         */
        blockType?: string;
        /**
         * The bounding box for the block. The vertices are in the order of
         * top-left, top-right, bottom-right, bottom-left. When a rotation of the
         * bounding box is detected the rotation is represented as around the
         * top-left corner as defined when the text is read in the 'natural'
         * orientation. For example:  * when the text is horizontal it might look
         * like:          0----1         |    |         3----2  * when it's
         * rotated 180 degrees around the top-left corner it becomes: 2----3 |    |
         * 1----0    and the vertex order will still be (0, 1, 2, 3).
         */
        boundingBox?: Schema$GoogleCloudVisionV1p3beta1BoundingPoly;
        /**
         * Confidence of the OCR results on the block. Range [0, 1].
         */
        confidence?: number;
        /**
         * List of paragraphs in this block (if this blocks is of type text).
         */
        paragraphs?: Schema$GoogleCloudVisionV1p3beta1Paragraph[];
        /**
         * Additional information detected for the block.
         */
        property?: Schema$GoogleCloudVisionV1p3beta1TextAnnotationTextProperty;
    }
    /**
     * A bounding polygon for the detected image annotation.
     */
    interface Schema$GoogleCloudVisionV1p3beta1BoundingPoly {
        /**
         * The bounding polygon normalized vertices.
         */
        normalizedVertices?: Schema$GoogleCloudVisionV1p3beta1NormalizedVertex[];
        /**
         * The bounding polygon vertices.
         */
        vertices?: Schema$GoogleCloudVisionV1p3beta1Vertex[];
    }
    /**
     * Color information consists of RGB channels, score, and the fraction of the
     * image that the color occupies in the image.
     */
    interface Schema$GoogleCloudVisionV1p3beta1ColorInfo {
        /**
         * RGB components of the color.
         */
        color?: Schema$Color;
        /**
         * The fraction of pixels the color occupies in the image. Value in range
         * [0, 1].
         */
        pixelFraction?: number;
        /**
         * Image-specific score for this color. Value in range [0, 1].
         */
        score?: number;
    }
    /**
     * Single crop hint that is used to generate a new crop when serving an image.
     */
    interface Schema$GoogleCloudVisionV1p3beta1CropHint {
        /**
         * The bounding polygon for the crop region. The coordinates of the bounding
         * box are in the original image's scale.
         */
        boundingPoly?: Schema$GoogleCloudVisionV1p3beta1BoundingPoly;
        /**
         * Confidence of this being a salient region.  Range [0, 1].
         */
        confidence?: number;
        /**
         * Fraction of importance of this salient region with respect to the
         * original image.
         */
        importanceFraction?: number;
    }
    /**
     * Set of crop hints that are used to generate new crops when serving images.
     */
    interface Schema$GoogleCloudVisionV1p3beta1CropHintsAnnotation {
        /**
         * Crop hint results.
         */
        cropHints?: Schema$GoogleCloudVisionV1p3beta1CropHint[];
    }
    /**
     * Set of dominant colors and their corresponding scores.
     */
    interface Schema$GoogleCloudVisionV1p3beta1DominantColorsAnnotation {
        /**
         * RGB color values with their score and pixel fraction.
         */
        colors?: Schema$GoogleCloudVisionV1p3beta1ColorInfo[];
    }
    /**
     * Set of detected entity features.
     */
    interface Schema$GoogleCloudVisionV1p3beta1EntityAnnotation {
        /**
         * Image region to which this entity belongs. Not produced for
         * `LABEL_DETECTION` features.
         */
        boundingPoly?: Schema$GoogleCloudVisionV1p3beta1BoundingPoly;
        /**
         * **Deprecated. Use `score` instead.** The accuracy of the entity detection
         * in an image. For example, for an image in which the "Eiffel
         * Tower" entity is detected, this field represents the confidence that
         * there is a tower in the query image. Range [0, 1].
         */
        confidence?: number;
        /**
         * Entity textual description, expressed in its `locale` language.
         */
        description?: string;
        /**
         * The language code for the locale in which the entity textual
         * `description` is expressed.
         */
        locale?: string;
        /**
         * The location information for the detected entity. Multiple `LocationInfo`
         * elements can be present because one location may indicate the location of
         * the scene in the image, and another location may indicate the location of
         * the place where the image was taken. Location information is usually
         * present for landmarks.
         */
        locations?: Schema$GoogleCloudVisionV1p3beta1LocationInfo[];
        /**
         * Opaque entity ID. Some IDs may be available in [Google Knowledge Graph
         * Search API](https://developers.google.com/knowledge-graph/).
         */
        mid?: string;
        /**
         * Some entities may have optional user-supplied `Property` (name/value)
         * fields, such a score or string that qualifies the entity.
         */
        properties?: Schema$GoogleCloudVisionV1p3beta1Property[];
        /**
         * Overall score of the result. Range [0, 1].
         */
        score?: number;
        /**
         * The relevancy of the ICA (Image Content Annotation) label to the image.
         * For example, the relevancy of "tower" is likely higher to an
         * image containing the detected "Eiffel Tower" than to an image
         * containing a detected distant towering building, even though the
         * confidence that there is a tower in each image may be the same. Range [0,
         * 1].
         */
        topicality?: number;
    }
    /**
     * A face annotation object contains the results of face detection.
     */
    interface Schema$GoogleCloudVisionV1p3beta1FaceAnnotation {
        /**
         * Anger likelihood.
         */
        angerLikelihood?: string;
        /**
         * Blurred likelihood.
         */
        blurredLikelihood?: string;
        /**
         * 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.
         */
        boundingPoly?: Schema$GoogleCloudVisionV1p3beta1BoundingPoly;
        /**
         * Detection confidence. Range [0, 1].
         */
        detectionConfidence?: number;
        /**
         * The `fd_bounding_poly` bounding polygon is tighter than the
         * `boundingPoly`, and encloses only the skin part of the face. Typically,
         * it is used to eliminate the face from any image analysis that detects the
         * "amount of skin" visible in an image. It is not based on the
         * landmarker results, only on the initial face detection, hence the
         * <code>fd</code> (face detection) prefix.
         */
        fdBoundingPoly?: Schema$GoogleCloudVisionV1p3beta1BoundingPoly;
        /**
         * Headwear likelihood.
         */
        headwearLikelihood?: string;
        /**
         * Joy likelihood.
         */
        joyLikelihood?: string;
        /**
         * Face landmarking confidence. Range [0, 1].
         */
        landmarkingConfidence?: number;
        /**
         * Detected face landmarks.
         */
        landmarks?: Schema$GoogleCloudVisionV1p3beta1FaceAnnotationLandmark[];
        /**
         * Yaw angle, which indicates the leftward/rightward angle that the face is
         * pointing relative to the vertical plane perpendicular to the image. Range
         * [-180,180].
         */
        panAngle?: number;
        /**
         * Roll angle, which indicates the amount of clockwise/anti-clockwise
         * rotation of the face relative to the image vertical about the axis
         * perpendicular to the face. Range [-180,180].
         */
        rollAngle?: number;
        /**
         * Sorrow likelihood.
         */
        sorrowLikelihood?: string;
        /**
         * Surprise likelihood.
         */
        surpriseLikelihood?: string;
        /**
         * Pitch angle, which indicates the upwards/downwards angle that the face is
         * pointing relative to the image's horizontal plane. Range [-180,180].
         */
        tiltAngle?: number;
        /**
         * Under-exposed likelihood.
         */
        underExposedLikelihood?: string;
    }
    /**
     * A face-specific landmark (for example, a face feature).
     */
    interface Schema$GoogleCloudVisionV1p3beta1FaceAnnotationLandmark {
        /**
         * Face landmark position.
         */
        position?: Schema$GoogleCloudVisionV1p3beta1Position;
        /**
         * Face landmark type.
         */
        type?: string;
    }
    /**
     * The Google Cloud Storage location where the output will be written to.
     */
    interface Schema$GoogleCloudVisionV1p3beta1GcsDestination {
        /**
         * Google Cloud Storage URI where the results will be stored. Results will
         * be in JSON format and preceded by its corresponding input URI. This field
         * can either represent a single file, or a prefix for multiple outputs.
         * Prefixes must end in a `/`.  Examples:  *    File:
         * gs://bucket-name/filename.json *    Prefix: gs://bucket-name/prefix/here/
         * *    File: gs://bucket-name/prefix/here  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?: string;
    }
    /**
     * The Google Cloud Storage location where the input will be read from.
     */
    interface Schema$GoogleCloudVisionV1p3beta1GcsSource {
        /**
         * Google Cloud Storage URI for the input file. This must only be a Google
         * Cloud Storage object. Wildcards are not currently supported.
         */
        uri?: string;
    }
    /**
     * If an image was produced from a file (e.g. a PDF), this message gives
     * information about the source of that image.
     */
    interface Schema$GoogleCloudVisionV1p3beta1ImageAnnotationContext {
        /**
         * If the file was a PDF or TIFF, this field gives the page number within
         * the file used to produce the image.
         */
        pageNumber?: number;
        /**
         * The URI of the file used to produce the image.
         */
        uri?: string;
    }
    /**
     * Stores image properties, such as dominant colors.
     */
    interface Schema$GoogleCloudVisionV1p3beta1ImageProperties {
        /**
         * If present, dominant colors completed successfully.
         */
        dominantColors?: Schema$GoogleCloudVisionV1p3beta1DominantColorsAnnotation;
    }
    /**
     * 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.
     */
    interface Schema$GoogleCloudVisionV1p3beta1ImportProductSetsResponse {
        /**
         * The list of reference_images that are imported successfully.
         */
        referenceImages?: Schema$GoogleCloudVisionV1p3beta1ReferenceImage[];
        /**
         * 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.
         */
        statuses?: Schema$Status[];
    }
    /**
     * The desired input location and metadata.
     */
    interface Schema$GoogleCloudVisionV1p3beta1InputConfig {
        /**
         * The Google Cloud Storage location to read the input from.
         */
        gcsSource?: Schema$GoogleCloudVisionV1p3beta1GcsSource;
        /**
         * The type of the file. Currently only "application/pdf" and
         * "image/tiff" are supported. Wildcards are not supported.
         */
        mimeType?: string;
    }
    /**
     * Set of detected objects with bounding boxes.
     */
    interface Schema$GoogleCloudVisionV1p3beta1LocalizedObjectAnnotation {
        /**
         * Image region to which this object belongs. This must be populated.
         */
        boundingPoly?: Schema$GoogleCloudVisionV1p3beta1BoundingPoly;
        /**
         * The BCP-47 language code, such as "en-US" or
         * "sr-Latn". For more information, see
         * http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.
         */
        languageCode?: string;
        /**
         * Object ID that should align with EntityAnnotation mid.
         */
        mid?: string;
        /**
         * Object name, expressed in its `language_code` language.
         */
        name?: string;
        /**
         * Score of the result. Range [0, 1].
         */
        score?: number;
    }
    /**
     * Detected entity location information.
     */
    interface Schema$GoogleCloudVisionV1p3beta1LocationInfo {
        /**
         * lat/long location coordinates.
         */
        latLng?: Schema$LatLng;
    }
    /**
     * A vertex represents a 2D point in the image. NOTE: the normalized vertex
     * coordinates are relative to the original image and range from 0 to 1.
     */
    interface Schema$GoogleCloudVisionV1p3beta1NormalizedVertex {
        /**
         * X coordinate.
         */
        x?: number;
        /**
         * Y coordinate.
         */
        y?: number;
    }
    /**
     * Contains metadata for the BatchAnnotateImages operation.
     */
    interface Schema$GoogleCloudVisionV1p3beta1OperationMetadata {
        /**
         * The time when the batch request was received.
         */
        createTime?: string;
        /**
         * Current state of the batch operation.
         */
        state?: string;
        /**
         * The time when the operation result was last updated.
         */
        updateTime?: string;
    }
    /**
     * The desired output location and metadata.
     */
    interface Schema$GoogleCloudVisionV1p3beta1OutputConfig {
        /**
         * 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.
         */
        batchSize?: number;
        /**
         * The Google Cloud Storage location to write the output(s) to.
         */
        gcsDestination?: Schema$GoogleCloudVisionV1p3beta1GcsDestination;
    }
    /**
     * Detected page from OCR.
     */
    interface Schema$GoogleCloudVisionV1p3beta1Page {
        /**
         * List of blocks of text, images etc on this page.
         */
        blocks?: Schema$GoogleCloudVisionV1p3beta1Block[];
        /**
         * Confidence of the OCR results on the page. Range [0, 1].
         */
        confidence?: number;
        /**
         * Page height. For PDFs the unit is points. For images (including TIFFs)
         * the unit is pixels.
         */
        height?: number;
        /**
         * Additional information detected on the page.
         */
        property?: Schema$GoogleCloudVisionV1p3beta1TextAnnotationTextProperty;
        /**
         * Page width. For PDFs the unit is points. For images (including TIFFs) the
         * unit is pixels.
         */
        width?: number;
    }
    /**
     * Structural unit of text representing a number of words in certain order.
     */
    interface Schema$GoogleCloudVisionV1p3beta1Paragraph {
        /**
         * The bounding box for the paragraph. The vertices are in the order of
         * top-left, top-right, bottom-right, bottom-left. When a rotation of the
         * bounding box is detected the rotation is represented as around the
         * top-left corner as defined when the text is read in the 'natural'
         * orientation. For example:   * when the text is horizontal it might look
         * like:      0----1      |    |      3----2   * when it's rotated 180
         * degrees around the top-left corner it becomes:      2----3      |    |
         * 1----0   and the vertex order will still be (0, 1, 2, 3).
         */
        boundingBox?: Schema$GoogleCloudVisionV1p3beta1BoundingPoly;
        /**
         * Confidence of the OCR results for the paragraph. Range [0, 1].
         */
        confidence?: number;
        /**
         * Additional information detected for the paragraph.
         */
        property?: Schema$GoogleCloudVisionV1p3beta1TextAnnotationTextProperty;
        /**
         * List of words in this paragraph.
         */
        words?: Schema$GoogleCloudVisionV1p3beta1Word[];
    }
    /**
     * 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.
     */
    interface Schema$GoogleCloudVisionV1p3beta1Position {
        /**
         * X coordinate.
         */
        x?: number;
        /**
         * Y coordinate.
         */
        y?: number;
        /**
         * Z coordinate (or depth).
         */
        z?: number;
    }
    /**
     * A Product contains ReferenceImages.
     */
    interface Schema$GoogleCloudVisionV1p3beta1Product {
        /**
         * User-provided metadata to be stored with this product. Must be at most
         * 4096 characters long.
         */
        description?: string;
        /**
         * The user-provided name for this Product. Must not be empty. Must be at
         * most 4096 characters long.
         */
        displayName?: string;
        /**
         * The resource name of the product.  Format is:
         * `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID`.  This field
         * is ignored when creating a product.
         */
        name?: string;
        /**
         * The category for the product identified by the reference image. This
         * should be either "homegoods", "apparel", or
         * "toys".  This field is immutable.
         */
        productCategory?: string;
        /**
         * Key-value pairs that can be attached to a product. At query time,
         * constraints can be specified based on the product_labels.  Note that
         * integer values can be provided as strings, e.g. "1199". Only
         * strings with integer values can match a range-based restriction which is
         * to be supported soon.  Multiple values can be assigned to the same key.
         * One product may have up to 100 product_labels.
         */
        productLabels?: Schema$GoogleCloudVisionV1p3beta1ProductKeyValue[];
    }
    /**
     * A product label represented as a key-value pair.
     */
    interface Schema$GoogleCloudVisionV1p3beta1ProductKeyValue {
        /**
         * The key of the label attached to the product. Cannot be empty and cannot
         * exceed 128 bytes.
         */
        key?: string;
        /**
         * The value of the label attached to the product. Cannot be empty and
         * cannot exceed 128 bytes.
         */
        value?: string;
    }
    /**
     * Results for a product search request.
     */
    interface Schema$GoogleCloudVisionV1p3beta1ProductSearchResults {
        /**
         * Timestamp of the index which provided these results. Changes made after
         * this time are not reflected in the current results.
         */
        indexTime?: string;
        /**
         * List of results grouped by products detected in the query image. Each
         * entry corresponds to one bounding polygon in the query image, and
         * contains the matching products specific to that region. There may be
         * duplicate product matches in the union of all the per-product results.
         */
        productGroupedResults?: Schema$GoogleCloudVisionV1p3beta1ProductSearchResultsGroupedResult[];
        /**
         * List of results, one for each product match.
         */
        results?: Schema$GoogleCloudVisionV1p3beta1ProductSearchResultsResult[];
    }
    /**
     * Information about the products similar to a single product in a query
     * image.
     */
    interface Schema$GoogleCloudVisionV1p3beta1ProductSearchResultsGroupedResult {
        /**
         * The bounding polygon around the product detected in the query image.
         */
        boundingPoly?: Schema$GoogleCloudVisionV1p3beta1BoundingPoly;
        /**
         * List of results, one for each product match.
         */
        results?: Schema$GoogleCloudVisionV1p3beta1ProductSearchResultsResult[];
    }
    /**
     * Information about a product.
     */
    interface Schema$GoogleCloudVisionV1p3beta1ProductSearchResultsResult {
        /**
         * The resource name of the image from the product that is the closest match
         * to the query.
         */
        image?: string;
        /**
         * The Product.
         */
        product?: Schema$GoogleCloudVisionV1p3beta1Product;
        /**
         * A confidence level on the match, ranging from 0 (no confidence) to 1
         * (full confidence).
         */
        score?: number;
    }
    /**
     * A `Property` consists of a user-supplied name/value pair.
     */
    interface Schema$GoogleCloudVisionV1p3beta1Property {
        /**
         * Name of the property.
         */
        name?: string;
        /**
         * Value of numeric properties.
         */
        uint64Value?: string;
        /**
         * Value of the property.
         */
        value?: string;
    }
    /**
     * A `ReferenceImage` represents a product image and its associated metadata,
     * such as bounding boxes.
     */
    interface Schema$GoogleCloudVisionV1p3beta1ReferenceImage {
        /**
         * Bounding polygons around the areas of interest in the reference image.
         * Optional. If this field is empty, the system will try to detect regions
         * of interest. At most 10 bounding polygons will be used.  The provided
         * shape is converted into a non-rotated rectangle. Once converted, the
         * small edge of the rectangle must be greater than or equal to 300 pixels.
         * The aspect ratio must be 1:4 or less (i.e. 1:3 is ok; 1:5 is not).
         */
        boundingPolys?: Schema$GoogleCloudVisionV1p3beta1BoundingPoly[];
        /**
         * The resource name of the reference image.  Format is:
         * `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID/referenceImages/IMAGE_ID`.
         * This field is ignored when creating a reference image.
         */
        name?: string;
        /**
         * The Google Cloud Storage URI of the reference image.  The URI must start
         * with `gs://`.  Required.
         */
        uri?: string;
    }
    /**
     * Set of features pertaining to the image, computed by computer vision
     * methods over safe-search verticals (for example, adult, spoof, medical,
     * violence).
     */
    interface Schema$GoogleCloudVisionV1p3beta1SafeSearchAnnotation {
        /**
         * Represents the adult content likelihood for the image. Adult content may
         * contain elements such as nudity, pornographic images or cartoons, or
         * sexual activities.
         */
        adult?: string;
        /**
         * Likelihood that this is a medical image.
         */
        medical?: string;
        /**
         * Likelihood that the request image contains racy content. Racy content may
         * include (but is not limited to) skimpy or sheer clothing, strategically
         * covered nudity, lewd or provocative poses, or close-ups of sensitive body
         * areas.
         */
        racy?: string;
        /**
         * Spoof likelihood. The likelihood that an modification was made to the
         * image's canonical version to make it appear funny or offensive.
         */
        spoof?: string;
        /**
         * Likelihood that this image contains violent content.
         */
        violence?: string;
    }
    /**
     * A single symbol representation.
     */
    interface Schema$GoogleCloudVisionV1p3beta1Symbol {
        /**
         * The bounding box for the symbol. The vertices are in the order of
         * top-left, top-right, bottom-right, bottom-left. When a rotation of the
         * bounding box is detected the rotation is represented as around the
         * top-left corner as defined when the text is read in the 'natural'
         * orientation. For example:   * when the text is horizontal it might look
         * like:      0----1      |    |      3----2   * when it's rotated 180
         * degrees around the top-left corner it becomes:      2----3      |    |
         * 1----0   and the vertice order will still be (0, 1, 2, 3).
         */
        boundingBox?: Schema$GoogleCloudVisionV1p3beta1BoundingPoly;
        /**
         * Confidence of the OCR results for the symbol. Range [0, 1].
         */
        confidence?: number;
        /**
         * Additional information detected for the symbol.
         */
        property?: Schema$GoogleCloudVisionV1p3beta1TextAnnotationTextProperty;
        /**
         * The actual UTF-8 representation of the symbol.
         */
        text?: string;
    }
    /**
     * TextAnnotation contains a structured representation of OCR extracted text.
     * The hierarchy of an OCR extracted text structure is like this:
     * TextAnnotation -> Page -> Block -> Paragraph -> Word ->
     * Symbol Each structural component, starting from Page, may further have
     * their own properties. Properties describe detected languages, breaks etc..
     * Please refer to the TextAnnotation.TextProperty message definition below
     * for more detail.
     */
    interface Schema$GoogleCloudVisionV1p3beta1TextAnnotation {
        /**
         * List of pages detected by OCR.
         */
        pages?: Schema$GoogleCloudVisionV1p3beta1Page[];
        /**
         * UTF-8 text detected on the pages.
         */
        text?: string;
    }
    /**
     * Detected start or end of a structural component.
     */
    interface Schema$GoogleCloudVisionV1p3beta1TextAnnotationDetectedBreak {
        /**
         * True if break prepends the element.
         */
        isPrefix?: boolean;
        /**
         * Detected break type.
         */
        type?: string;
    }
    /**
     * Detected language for a structural component.
     */
    interface Schema$GoogleCloudVisionV1p3beta1TextAnnotationDetectedLanguage {
        /**
         * Confidence of detected language. Range [0, 1].
         */
        confidence?: number;
        /**
         * The BCP-47 language code, such as "en-US" or
         * "sr-Latn". For more information, see
         * http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.
         */
        languageCode?: string;
    }
    /**
     * Additional information detected on the structural component.
     */
    interface Schema$GoogleCloudVisionV1p3beta1TextAnnotationTextProperty {
        /**
         * Detected start or end of a text segment.
         */
        detectedBreak?: Schema$GoogleCloudVisionV1p3beta1TextAnnotationDetectedBreak;
        /**
         * A list of detected languages together with confidence.
         */
        detectedLanguages?: Schema$GoogleCloudVisionV1p3beta1TextAnnotationDetectedLanguage[];
    }
    /**
     * A vertex represents a 2D point in the image. NOTE: the vertex coordinates
     * are in the same scale as the original image.
     */
    interface Schema$GoogleCloudVisionV1p3beta1Vertex {
        /**
         * X coordinate.
         */
        x?: number;
        /**
         * Y coordinate.
         */
        y?: number;
    }
    /**
     * Relevant information for the image from the Internet.
     */
    interface Schema$GoogleCloudVisionV1p3beta1WebDetection {
        /**
         * The service's best guess as to the topic of the request image.
         * Inferred from similar images on the open web.
         */
        bestGuessLabels?: Schema$GoogleCloudVisionV1p3beta1WebDetectionWebLabel[];
        /**
         * Fully matching images from the Internet. Can include resized copies of
         * the query image.
         */
        fullMatchingImages?: Schema$GoogleCloudVisionV1p3beta1WebDetectionWebImage[];
        /**
         * Web pages containing the matching images from the Internet.
         */
        pagesWithMatchingImages?: Schema$GoogleCloudVisionV1p3beta1WebDetectionWebPage[];
        /**
         * Partial matching images from the Internet. Those images are similar
         * enough to share some key-point features. For example an original image
         * will likely have partial matching for its crops.
         */
        partialMatchingImages?: Schema$GoogleCloudVisionV1p3beta1WebDetectionWebImage[];
        /**
         * The visually similar image results.
         */
        visuallySimilarImages?: Schema$GoogleCloudVisionV1p3beta1WebDetectionWebImage[];
        /**
         * Deduced entities from similar images on the Internet.
         */
        webEntities?: Schema$GoogleCloudVisionV1p3beta1WebDetectionWebEntity[];
    }
    /**
     * Entity deduced from similar images on the Internet.
     */
    interface Schema$GoogleCloudVisionV1p3beta1WebDetectionWebEntity {
        /**
         * Canonical description of the entity, in English.
         */
        description?: string;
        /**
         * Opaque entity ID.
         */
        entityId?: string;
        /**
         * Overall relevancy score for the entity. Not normalized and not comparable
         * across different image queries.
         */
        score?: number;
    }
    /**
     * Metadata for online images.
     */
    interface Schema$GoogleCloudVisionV1p3beta1WebDetectionWebImage {
        /**
         * (Deprecated) Overall relevancy score for the image.
         */
        score?: number;
        /**
         * The result image URL.
         */
        url?: string;
    }
    /**
     * Label to provide extra metadata for the web detection.
     */
    interface Schema$GoogleCloudVisionV1p3beta1WebDetectionWebLabel {
        /**
         * Label for extra metadata.
         */
        label?: string;
        /**
         * The BCP-47 language code for `label`, such as "en-US" or
         * "sr-Latn". For more information, see
         * http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.
         */
        languageCode?: string;
    }
    /**
     * Metadata for web pages.
     */
    interface Schema$GoogleCloudVisionV1p3beta1WebDetectionWebPage {
        /**
         * Fully matching images on the page. Can include resized copies of the
         * query image.
         */
        fullMatchingImages?: Schema$GoogleCloudVisionV1p3beta1WebDetectionWebImage[];
        /**
         * Title for the web page, may contain HTML markups.
         */
        pageTitle?: string;
        /**
         * Partial matching images on the page. Those images are similar enough to
         * share some key-point features. For example an original image will likely
         * have partial matching for its crops.
         */
        partialMatchingImages?: Schema$GoogleCloudVisionV1p3beta1WebDetectionWebImage[];
        /**
         * (Deprecated) Overall relevancy score for the web page.
         */
        score?: number;
        /**
         * The result web page URL.
         */
        url?: string;
    }
    /**
     * A word representation.
     */
    interface Schema$GoogleCloudVisionV1p3beta1Word {
        /**
         * The bounding box for the word. The vertices are in the order of top-left,
         * top-right, bottom-right, bottom-left. When a rotation of the bounding box
         * is detected the rotation is represented as around the top-left corner as
         * defined when the text is read in the 'natural' orientation. For
         * example:   * when the text is horizontal it might look like:      0----1
         * |    |      3----2   * when it's rotated 180 degrees around the
         * top-left corner it becomes:      2----3      |    |      1----0   and the
         * vertex order will still be (0, 1, 2, 3).
         */
        boundingBox?: Schema$GoogleCloudVisionV1p3beta1BoundingPoly;
        /**
         * Confidence of the OCR results for the word. Range [0, 1].
         */
        confidence?: number;
        /**
         * Additional information detected for the word.
         */
        property?: Schema$GoogleCloudVisionV1p3beta1TextAnnotationTextProperty;
        /**
         * List of symbols in the word. The order of the symbols follows the natural
         * reading order.
         */
        symbols?: Schema$GoogleCloudVisionV1p3beta1Symbol[];
    }
    /**
     * Information about the products similar to a single product in a query
     * image.
     */
    interface Schema$GroupedResult {
        /**
         * The bounding polygon around the product detected in the query image.
         */
        boundingPoly?: Schema$BoundingPoly;
        /**
         * List of results, one for each product match.
         */
        results?: Schema$Result[];
    }
    /**
     * If an image was produced from a file (e.g. a PDF), this message gives
     * information about the source of that image.
     */
    interface Schema$ImageAnnotationContext {
        /**
         * If the file was a PDF or TIFF, this field gives the page number within
         * the file used to produce the image.
         */
        pageNumber?: number;
        /**
         * The URI of the file used to produce the image.
         */
        uri?: string;
    }
    /**
     * Stores image properties, such as dominant colors.
     */
    interface Schema$ImageProperties {
        /**
         * If present, dominant colors completed successfully.
         */
        dominantColors?: Schema$DominantColorsAnnotation;
    }
    /**
     * 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.
     */
    interface Schema$ImportProductSetsResponse {
        /**
         * The list of reference_images that are imported successfully.
         */
        referenceImages?: Schema$ReferenceImage[];
        /**
         * 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.
         */
        statuses?: Schema$Status[];
    }
    /**
     * The desired input location and metadata.
     */
    interface Schema$InputConfig {
        /**
         * The Google Cloud Storage location to read the input from.
         */
        gcsSource?: Schema$GcsSource;
        /**
         * The type of the file. Currently only "application/pdf" and
         * "image/tiff" are supported. Wildcards are not supported.
         */
        mimeType?: string;
    }
    /**
     * A product label represented as a key-value pair.
     */
    interface Schema$KeyValue {
        /**
         * The key of the label attached to the product. Cannot be empty and cannot
         * exceed 128 bytes.
         */
        key?: string;
        /**
         * The value of the label attached to the product. Cannot be empty and
         * cannot exceed 128 bytes.
         */
        value?: string;
    }
    /**
     * A face-specific landmark (for example, a face feature).
     */
    interface Schema$Landmark {
        /**
         * Face landmark position.
         */
        position?: Schema$Position;
        /**
         * Face landmark type.
         */
        type?: string;
    }
    /**
     * An object representing a latitude/longitude pair. This is expressed as a
     * pair of doubles representing degrees latitude and degrees longitude. Unless
     * specified otherwise, this must conform to the <a
     * href="http://www.unoosa.org/pdf/icg/2012/template/WGS_84.pdf">WGS84
     * standard</a>. Values must be within normalized ranges.
     */
    interface Schema$LatLng {
        /**
         * The latitude in degrees. It must be in the range [-90.0, +90.0].
         */
        latitude?: number;
        /**
         * The longitude in degrees. It must be in the range [-180.0, +180.0].
         */
        longitude?: number;
    }
    /**
     * Set of detected objects with bounding boxes.
     */
    interface Schema$LocalizedObjectAnnotation {
        /**
         * Image region to which this object belongs. This must be populated.
         */
        boundingPoly?: Schema$BoundingPoly;
        /**
         * The BCP-47 language code, such as "en-US" or
         * "sr-Latn". For more information, see
         * http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.
         */
        languageCode?: string;
        /**
         * Object ID that should align with EntityAnnotation mid.
         */
        mid?: string;
        /**
         * Object name, expressed in its `language_code` language.
         */
        name?: string;
        /**
         * Score of the result. Range [0, 1].
         */
        score?: number;
    }
    /**
     * Detected entity location information.
     */
    interface Schema$LocationInfo {
        /**
         * lat/long location coordinates.
         */
        latLng?: Schema$LatLng;
    }
    /**
     * A vertex represents a 2D point in the image. NOTE: the normalized vertex
     * coordinates are relative to the original image and range from 0 to 1.
     */
    interface Schema$NormalizedVertex {
        /**
         * X coordinate.
         */
        x?: number;
        /**
         * Y coordinate.
         */
        y?: number;
    }
    /**
     * This resource represents a long-running operation that is the result of a
     * network API call.
     */
    interface Schema$Operation {
        /**
         * If the value is `false`, it means the operation is still in progress. If
         * `true`, the operation is completed, and either `error` or `response` is
         * available.
         */
        done?: boolean;
        /**
         * The error result of the operation in case of failure or cancellation.
         */
        error?: Schema$Status;
        /**
         * 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.
         */
        metadata?: {
            [key: string]: any;
        };
        /**
         * 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 have the format of `operations/some/unique/name`.
         */
        name?: string;
        /**
         * The normal response of the operation in case of success.  If the original
         * method returns no data on success, such as `Delete`, the response is
         * `google.protobuf.Empty`.  If the original method is standard
         * `Get`/`Create`/`Update`, the response should be the resource.  For other
         * methods, the response should have the type `XxxResponse`, where `Xxx` is
         * the original method name.  For example, if the original method name is
         * `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
         */
        response?: {
            [key: string]: any;
        };
    }
    /**
     * Contains metadata for the BatchAnnotateImages operation.
     */
    interface Schema$OperationMetadata {
        /**
         * The time when the batch request was received.
         */
        createTime?: string;
        /**
         * Current state of the batch operation.
         */
        state?: string;
        /**
         * The time when the operation result was last updated.
         */
        updateTime?: string;
    }
    /**
     * The desired output location and metadata.
     */
    interface Schema$OutputConfig {
        /**
         * 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.
         */
        batchSize?: number;
        /**
         * The Google Cloud Storage location to write the output(s) to.
         */
        gcsDestination?: Schema$GcsDestination;
    }
    /**
     * Detected page from OCR.
     */
    interface Schema$Page {
        /**
         * List of blocks of text, images etc on this page.
         */
        blocks?: Schema$Block[];
        /**
         * Confidence of the OCR results on the page. Range [0, 1].
         */
        confidence?: number;
        /**
         * Page height. For PDFs the unit is points. For images (including TIFFs)
         * the unit is pixels.
         */
        height?: number;
        /**
         * Additional information detected on the page.
         */
        property?: Schema$TextProperty;
        /**
         * Page width. For PDFs the unit is points. For images (including TIFFs) the
         * unit is pixels.
         */
        width?: number;
    }
    /**
     * Structural unit of text representing a number of words in certain order.
     */
    interface Schema$Paragraph {
        /**
         * The bounding box for the paragraph. The vertices are in the order of
         * top-left, top-right, bottom-right, bottom-left. When a rotation of the
         * bounding box is detected the rotation is represented as around the
         * top-left corner as defined when the text is read in the 'natural'
         * orientation. For example:   * when the text is horizontal it might look
         * like:      0----1      |    |      3----2   * when it's rotated 180
         * degrees around the top-left corner it becomes:      2----3      |    |
         * 1----0   and the vertex order will still be (0, 1, 2, 3).
         */
        boundingBox?: Schema$BoundingPoly;
        /**
         * Confidence of the OCR results for the paragraph. Range [0, 1].
         */
        confidence?: number;
        /**
         * Additional information detected for the paragraph.
         */
        property?: Schema$TextProperty;
        /**
         * List of words in this paragraph.
         */
        words?: Schema$Word[];
    }
    /**
     * 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.
     */
    interface Schema$Position {
        /**
         * X coordinate.
         */
        x?: number;
        /**
         * Y coordinate.
         */
        y?: number;
        /**
         * Z coordinate (or depth).
         */
        z?: number;
    }
    /**
     * A Product contains ReferenceImages.
     */
    interface Schema$Product {
        /**
         * User-provided metadata to be stored with this product. Must be at most
         * 4096 characters long.
         */
        description?: string;
        /**
         * The user-provided name for this Product. Must not be empty. Must be at
         * most 4096 characters long.
         */
        displayName?: string;
        /**
         * The resource name of the product.  Format is:
         * `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID`.  This field
         * is ignored when creating a product.
         */
        name?: string;
        /**
         * The category for the product identified by the reference image. This
         * should be either "homegoods", "apparel", or
         * "toys".  This field is immutable.
         */
        productCategory?: string;
        /**
         * Key-value pairs that can be attached to a product. At query time,
         * constraints can be specified based on the product_labels.  Note that
         * integer values can be provided as strings, e.g. "1199". Only
         * strings with integer values can match a range-based restriction which is
         * to be supported soon.  Multiple values can be assigned to the same key.
         * One product may have up to 100 product_labels.
         */
        productLabels?: Schema$KeyValue[];
    }
    /**
     * Results for a product search request.
     */
    interface Schema$ProductSearchResults {
        /**
         * Timestamp of the index which provided these results. Changes made after
         * this time are not reflected in the current results.
         */
        indexTime?: string;
        /**
         * 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.
         */
        productGroupedResults?: Schema$GroupedResult[];
        /**
         * List of results, one for each product match.
         */
        results?: Schema$Result[];
    }
    /**
     * A `Property` consists of a user-supplied name/value pair.
     */
    interface Schema$Property {
        /**
         * Name of the property.
         */
        name?: string;
        /**
         * Value of numeric properties.
         */
        uint64Value?: string;
        /**
         * Value of the property.
         */
        value?: string;
    }
    /**
     * A `ReferenceImage` represents a product image and its associated metadata,
     * such as bounding boxes.
     */
    interface Schema$ReferenceImage {
        /**
         * Bounding polygons around the areas of interest in the reference image.
         * Optional. If this field is empty, the system will try to detect regions
         * of interest. At most 10 bounding polygons will be used.  The provided
         * shape is converted into a non-rotated rectangle. Once converted, the
         * small edge of the rectangle must be greater than or equal to 300 pixels.
         * The aspect ratio must be 1:4 or less (i.e. 1:3 is ok; 1:5 is not).
         */
        boundingPolys?: Schema$BoundingPoly[];
        /**
         * The resource name of the reference image.  Format is:
         * `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID/referenceImages/IMAGE_ID`.
         * This field is ignored when creating a reference image.
         */
        name?: string;
        /**
         * The Google Cloud Storage URI of the reference image.  The URI must start
         * with `gs://`.  Required.
         */
        uri?: string;
    }
    /**
     * Information about a product.
     */
    interface Schema$Result {
        /**
         * The resource name of the image from the product that is the closest match
         * to the query.
         */
        image?: string;
        /**
         * The Product.
         */
        product?: Schema$Product;
        /**
         * A confidence level on the match, ranging from 0 (no confidence) to 1
         * (full confidence).
         */
        score?: number;
    }
    /**
     * Set of features pertaining to the image, computed by computer vision
     * methods over safe-search verticals (for example, adult, spoof, medical,
     * violence).
     */
    interface Schema$SafeSearchAnnotation {
        /**
         * Represents the adult content likelihood for the image. Adult content may
         * contain elements such as nudity, pornographic images or cartoons, or
         * sexual activities.
         */
        adult?: string;
        /**
         * Likelihood that this is a medical image.
         */
        medical?: string;
        /**
         * Likelihood that the request image contains racy content. Racy content may
         * include (but is not limited to) skimpy or sheer clothing, strategically
         * covered nudity, lewd or provocative poses, or close-ups of sensitive body
         * areas.
         */
        racy?: string;
        /**
         * Spoof likelihood. The likelihood that an modification was made to the
         * image's canonical version to make it appear funny or offensive.
         */
        spoof?: string;
        /**
         * Likelihood that this image contains violent content.
         */
        violence?: string;
    }
    /**
     * 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). The error model is designed to be:
     * - Simple to use and understand for most users - Flexible enough to meet
     * unexpected needs  # Overview  The `Status` message contains three pieces of
     * data: error code, error message, and error details. The error code should
     * be an enum value of google.rpc.Code, but it may accept additional error
     * codes if needed.  The error message should be a developer-facing English
     * message that helps developers *understand* and *resolve* the error. If a
     * localized user-facing error message is needed, put the localized message in
     * the error details or localize it in the client. The optional error details
     * may contain arbitrary information about the error. There is a predefined
     * set of error detail types in the package `google.rpc` that can be used for
     * common error conditions.  # Language mapping  The `Status` message is the
     * logical representation of the error model, but it is not necessarily the
     * actual wire format. When the `Status` message is exposed in different
     * client libraries and different wire protocols, it can be mapped
     * differently. For example, it will likely be mapped to some exceptions in
     * Java, but more likely mapped to some error codes in C.  # Other uses  The
     * error model and the `Status` message can be used in a variety of
     * environments, either with or without APIs, to provide a consistent
     * developer experience across different environments.  Example uses of this
     * error model include:  - Partial errors. If a service needs to return
     * partial errors to the client,     it may embed the `Status` in the normal
     * response to indicate the partial     errors.  - Workflow errors. A typical
     * workflow has multiple steps. Each step may     have a `Status` message for
     * error reporting.  - Batch operations. If a client uses batch request and
     * batch response, the     `Status` message should be used directly inside
     * batch response, one for     each error sub-response.  - Asynchronous
     * operations. If an API call embeds asynchronous operation     results in its
     * response, the status of those operations should be     represented directly
     * using the `Status` message.  - Logging. If some API errors are stored in
     * logs, the message `Status` could     be used directly after any stripping
     * needed for security/privacy reasons.
     */
    interface Schema$Status {
        /**
         * The status code, which should be an enum value of google.rpc.Code.
         */
        code?: number;
        /**
         * A list of messages that carry the error details.  There is a common set
         * of message types for APIs to use.
         */
        details?: Array<{
            [key: string]: any;
        }>;
        /**
         * A developer-facing error message, which should be in English. Any
         * user-facing error message should be localized and sent in the
         * google.rpc.Status.details field, or localized by the client.
         */
        message?: string;
    }
    /**
     * A single symbol representation.
     */
    interface Schema$Symbol {
        /**
         * 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 &#39;natural&#39;
         * orientation. For example:   * when the text is horizontal it might look
         * like:      0----1      |    |      3----2   * when it&#39;s rotated 180
         * degrees around the top-left corner it becomes:      2----3      |    |
         * 1----0   and the vertice order will still be (0, 1, 2, 3).
         */
        boundingBox?: Schema$BoundingPoly;
        /**
         * Confidence of the OCR results for the symbol. Range [0, 1].
         */
        confidence?: number;
        /**
         * Additional information detected for the symbol.
         */
        property?: Schema$TextProperty;
        /**
         * The actual UTF-8 representation of the symbol.
         */
        text?: string;
    }
    /**
     * TextAnnotation contains a structured representation of OCR extracted text.
     * The hierarchy of an OCR extracted text structure is like this:
     * TextAnnotation -&gt; Page -&gt; Block -&gt; Paragraph -&gt; Word -&gt;
     * 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.
     */
    interface Schema$TextAnnotation {
        /**
         * List of pages detected by OCR.
         */
        pages?: Schema$Page[];
        /**
         * UTF-8 text detected on the pages.
         */
        text?: string;
    }
    /**
     * Additional information detected on the structural component.
     */
    interface Schema$TextProperty {
        /**
         * Detected start or end of a text segment.
         */
        detectedBreak?: Schema$DetectedBreak;
        /**
         * A list of detected languages together with confidence.
         */
        detectedLanguages?: Schema$DetectedLanguage[];
    }
    /**
     * A vertex represents a 2D point in the image. NOTE: the vertex coordinates
     * are in the same scale as the original image.
     */
    interface Schema$Vertex {
        /**
         * X coordinate.
         */
        x?: number;
        /**
         * Y coordinate.
         */
        y?: number;
    }
    /**
     * Relevant information for the image from the Internet.
     */
    interface Schema$WebDetection {
        /**
         * The service&#39;s best guess as to the topic of the request image.
         * Inferred from similar images on the open web.
         */
        bestGuessLabels?: Schema$WebLabel[];
        /**
         * Fully matching images from the Internet. Can include resized copies of
         * the query image.
         */
        fullMatchingImages?: Schema$WebImage[];
        /**
         * Web pages containing the matching images from the Internet.
         */
        pagesWithMatchingImages?: Schema$WebPage[];
        /**
         * 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.
         */
        partialMatchingImages?: Schema$WebImage[];
        /**
         * The visually similar image results.
         */
        visuallySimilarImages?: Schema$WebImage[];
        /**
         * Deduced entities from similar images on the Internet.
         */
        webEntities?: Schema$WebEntity[];
    }
    /**
     * Entity deduced from similar images on the Internet.
     */
    interface Schema$WebEntity {
        /**
         * Canonical description of the entity, in English.
         */
        description?: string;
        /**
         * Opaque entity ID.
         */
        entityId?: string;
        /**
         * Overall relevancy score for the entity. Not normalized and not comparable
         * across different image queries.
         */
        score?: number;
    }
    /**
     * Metadata for online images.
     */
    interface Schema$WebImage {
        /**
         * (Deprecated) Overall relevancy score for the image.
         */
        score?: number;
        /**
         * The result image URL.
         */
        url?: string;
    }
    /**
     * Label to provide extra metadata for the web detection.
     */
    interface Schema$WebLabel {
        /**
         * Label for extra metadata.
         */
        label?: string;
        /**
         * The BCP-47 language code for `label`, such as &quot;en-US&quot; or
         * &quot;sr-Latn&quot;. For more information, see
         * http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.
         */
        languageCode?: string;
    }
    /**
     * Metadata for web pages.
     */
    interface Schema$WebPage {
        /**
         * Fully matching images on the page. Can include resized copies of the
         * query image.
         */
        fullMatchingImages?: Schema$WebImage[];
        /**
         * Title for the web page, may contain HTML markups.
         */
        pageTitle?: string;
        /**
         * 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.
         */
        partialMatchingImages?: Schema$WebImage[];
        /**
         * (Deprecated) Overall relevancy score for the web page.
         */
        score?: number;
        /**
         * The result web page URL.
         */
        url?: string;
    }
    /**
     * A word representation.
     */
    interface Schema$Word {
        /**
         * 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 &#39;natural&#39; orientation. For
         * example:   * when the text is horizontal it might look like:      0----1
         * |    |      3----2   * when it&#39;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).
         */
        boundingBox?: Schema$BoundingPoly;
        /**
         * Confidence of the OCR results for the word. Range [0, 1].
         */
        confidence?: number;
        /**
         * Additional information detected for the word.
         */
        property?: Schema$TextProperty;
        /**
         * List of symbols in the word. The order of the symbols follows the natural
         * reading order.
         */
        symbols?: Schema$Symbol[];
    }
    class Resource$Files {
        constructor();
        /**
         * vision.files.asyncBatchAnnotate
         * @desc Run asynchronous image detection and annotation for a list of
         * generic files, such as PDF files, which may contain multiple pages and
         * multiple images per page. Progress and results can be retrieved through
         * the `google.longrunning.Operations` interface. `Operation.metadata`
         * contains `OperationMetadata` (metadata). `Operation.response` contains
         * `AsyncBatchAnnotateFilesResponse` (results).
         * @alias vision.files.asyncBatchAnnotate
         * @memberOf! ()
         *
         * @param {object} params Parameters for request
         * @param {().GoogleCloudVisionV1p2beta1AsyncBatchAnnotateFilesRequest} params.resource Request body data
         * @param {object} [options] Optionally override request options, such as `url`, `method`, and `encoding`.
         * @param {callback} callback The callback that handles the response.
         * @return {object} Request object
         */
        asyncBatchAnnotate(params?: Params$Resource$Files$Asyncbatchannotate, options?: MethodOptions): GaxiosPromise<Schema$Operation>;
        asyncBatchAnnotate(params: Params$Resource$Files$Asyncbatchannotate, options: MethodOptions | BodyResponseCallback<Schema$Operation>, callback: BodyResponseCallback<Schema$Operation>): void;
        asyncBatchAnnotate(params: Params$Resource$Files$Asyncbatchannotate, callback: BodyResponseCallback<Schema$Operation>): void;
        asyncBatchAnnotate(callback: BodyResponseCallback<Schema$Operation>): void;
    }
    interface Params$Resource$Files$Asyncbatchannotate extends StandardParameters {
        /**
         * Auth client or API Key for the request
         */
        auth?: string | OAuth2Client | JWT | Compute | UserRefreshClient;
        /**
         * Request body metadata
         */
        requestBody?: Schema$GoogleCloudVisionV1p2beta1AsyncBatchAnnotateFilesRequest;
    }
    class Resource$Images {
        constructor();
        /**
         * vision.images.annotate
         * @desc Run image detection and annotation for a batch of images.
         * @alias vision.images.annotate
         * @memberOf! ()
         *
         * @param {object} params Parameters for request
         * @param {().GoogleCloudVisionV1p2beta1BatchAnnotateImagesRequest} params.resource Request body data
         * @param {object} [options] Optionally override request options, such as `url`, `method`, and `encoding`.
         * @param {callback} callback The callback that handles the response.
         * @return {object} Request object
         */
        annotate(params?: Params$Resource$Images$Annotate, options?: MethodOptions): GaxiosPromise<Schema$GoogleCloudVisionV1p2beta1BatchAnnotateImagesResponse>;
        annotate(params: Params$Resource$Images$Annotate, options: MethodOptions | BodyResponseCallback<Schema$GoogleCloudVisionV1p2beta1BatchAnnotateImagesResponse>, callback: BodyResponseCallback<Schema$GoogleCloudVisionV1p2beta1BatchAnnotateImagesResponse>): void;
        annotate(params: Params$Resource$Images$Annotate, callback: BodyResponseCallback<Schema$GoogleCloudVisionV1p2beta1BatchAnnotateImagesResponse>): void;
        annotate(callback: BodyResponseCallback<Schema$GoogleCloudVisionV1p2beta1BatchAnnotateImagesResponse>): void;
    }
    interface Params$Resource$Images$Annotate extends StandardParameters {
        /**
         * Auth client or API Key for the request
         */
        auth?: string | OAuth2Client | JWT | Compute | UserRefreshClient;
        /**
         * Request body metadata
         */
        requestBody?: Schema$GoogleCloudVisionV1p2beta1BatchAnnotateImagesRequest;
    }
}