/**
 * Copyright 2015 Google Inc. All Rights Reserved.
 *
 * 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 { AxiosPromise } from 'axios';
import { GoogleApis } from '../..';
import { BodyResponseCallback, GlobalOptions, MethodOptions } from '../../lib/api';
/**
 * 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('v1');
 *
 * @namespace vision
 * @type {Function}
 * @version v1
 * @variation v1
 * @param {object=} options Options for Vision
 */
export declare class Vision {
    _options: GlobalOptions;
    google: GoogleApis;
    root: this;
    images: Resource$Images;
    locations: Resource$Locations;
    operations: Resource$Operations;
    constructor(options: GlobalOptions, google: GoogleApis);
    getRoot(): this;
}
/**
 * Request for performing Google Cloud Vision API tasks over a user-provided
 * image, with user-requested features.
 */
export interface Schema$AnnotateImageRequest {
    /**
     * Requested features.
     */
    features: Schema$Feature[];
    /**
     * The image to be processed.
     */
    image: Schema$Image;
    /**
     * Additional context that may accompany the image.
     */
    imageContext: Schema$ImageContext;
}
/**
 * Response to an image annotation request.
 */
export interface Schema$AnnotateImageResponse {
    /**
     * 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$EntityAnnotation[];
    /**
     * If present, logo detection has completed successfully.
     */
    logoAnnotations: Schema$EntityAnnotation[];
    /**
     * 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$WebDetection;
}
/**
 * Multiple image annotation requests are batched into a single service call.
 */
export interface Schema$BatchAnnotateImagesRequest {
    /**
     * Individual image annotation requests for this batch.
     */
    requests: Schema$AnnotateImageRequest[];
}
/**
 * Response to a batch image annotation request.
 */
export interface Schema$BatchAnnotateImagesResponse {
    /**
     * Individual responses to image annotation requests within the batch.
     */
    responses: Schema$AnnotateImageResponse[];
}
/**
 * Logical element on the page.
 */
export interface Schema$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 vertice 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$TextProperty;
}
/**
 * A bounding polygon for the detected image annotation.
 */
export interface Schema$BoundingPoly {
    /**
     * The bounding polygon vertices.
     */
    vertices: Schema$Vertex[];
}
/**
 * The request message for Operations.CancelOperation.
 */
export interface Schema$CancelOperationRequest {
}
/**
 * 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('');
 * };      // ...
 */
export interface Schema$Color {
    /**
     * The fraction of this color that should be applied to the pixel. That is,
     * the final pixel color is defined by the equation:    pixel color = alpha *
     * (this color) + (1.0 - alpha) * (background color)  This means that a value
     * of 1.0 corresponds to a solid color, whereas a value of 0.0 corresponds to
     * a completely transparent color. This uses a wrapper message rather than a
     * simple float scalar so that it is possible to distinguish between a default
     * value and the value being unset. If omitted, this color object is to be
     * rendered as a solid color (as if the alpha value had been explicitly given
     * with a value of 1.0).
     */
    alpha: number;
    /**
     * The amount of blue in the color as a value in the interval [0, 1].
     */
    blue: number;
    /**
     * The amount of green in the color as a value in the interval [0, 1].
     */
    green: number;
    /**
     * The amount of red in the color as a value in the interval [0, 1].
     */
    red: number;
}
/**
 * Color information consists of RGB channels, score, and the fraction of the
 * image that the color occupies in the image.
 */
export interface Schema$ColorInfo {
    /**
     * RGB components of the color.
     */
    color: Schema$Color;
    /**
     * The fraction of pixels the color occupies in the image. Value in range [0,
     * 1].
     */
    pixelFraction: number;
    /**
     * Image-specific score for this color. Value in range [0, 1].
     */
    score: number;
}
/**
 * Single crop hint that is used to generate a new crop when serving an image.
 */
export interface Schema$CropHint {
    /**
     * The bounding polygon for the crop region. The coordinates of the bounding
     * box are in the original image's scale, as returned in `ImageParams`.
     */
    boundingPoly: Schema$BoundingPoly;
    /**
     * Confidence of this being a salient region.  Range [0, 1].
     */
    confidence: number;
    /**
     * Fraction of importance of this salient region with respect to the original
     * image.
     */
    importanceFraction: number;
}
/**
 * Set of crop hints that are used to generate new crops when serving images.
 */
export interface Schema$CropHintsAnnotation {
    /**
     * Crop hint results.
     */
    cropHints: Schema$CropHint[];
}
/**
 * Parameters for crop hints annotation request.
 */
export interface Schema$CropHintsParams {
    /**
     * 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[];
}
/**
 * Detected start or end of a structural component.
 */
export interface Schema$DetectedBreak {
    /**
     * True if break prepends the element.
     */
    isPrefix: boolean;
    /**
     * Detected break type.
     */
    type: string;
}
/**
 * Detected language for a structural component.
 */
export interface Schema$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.
 */
export interface Schema$DominantColorsAnnotation {
    /**
     * RGB color values with their score and pixel fraction.
     */
    colors: Schema$ColorInfo[];
}
/**
 * A generic empty message that you can re-use to avoid defining duplicated
 * empty messages in your APIs. A typical example is to use it as the request or
 * the response type of an API method. For instance:      service Foo { rpc
 * Bar(google.protobuf.Empty) returns (google.protobuf.Empty);     }  The JSON
 * representation for `Empty` is empty JSON object `{}`.
 */
export interface Schema$Empty {
}
/**
 * Set of detected entity features.
 */
export interface Schema$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$Property[];
    /**
     * Overall score of the result. Range [0, 1].
     */
    score: number;
    /**
     * The relevancy of the ICA (Image Content Annotation) label to the image. For
     * example, the relevancy of "tower" is likely higher to an image
     * containing the detected "Eiffel Tower" than to an image
     * containing a detected distant towering building, even though the confidence
     * that there is a tower in each image may be the same. Range [0, 1].
     */
    topicality: number;
}
/**
 * A face annotation object contains the results of face detection.
 */
export interface Schema$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, as returned in `ImageParams`. 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$Landmark[];
    /**
     * Yaw angle, which indicates the leftward/rightward angle that the face is
     * pointing relative to the vertical plane perpendicular to the image. Range
     * [-180,180].
     */
    panAngle: number;
    /**
     * Roll angle, which indicates the amount of clockwise/anti-clockwise rotation
     * of the face relative to the image vertical about the axis perpendicular to
     * the face. Range [-180,180].
     */
    rollAngle: number;
    /**
     * Sorrow likelihood.
     */
    sorrowLikelihood: string;
    /**
     * Surprise likelihood.
     */
    surpriseLikelihood: string;
    /**
     * Pitch angle, which indicates the upwards/downwards angle that the face is
     * pointing relative to the image's horizontal plane. Range [-180,180].
     */
    tiltAngle: number;
    /**
     * Under-exposed likelihood.
     */
    underExposedLikelihood: string;
}
/**
 * The type of Google Cloud Vision API detection to perform, and the maximum
 * number of results to return for that type. Multiple `Feature` objects can be
 * specified in the `features` list.
 */
export interface Schema$Feature {
    /**
     * 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 response for a single offline file annotation request.
 */
export interface Schema$GoogleCloudVisionV1p2beta1AsyncAnnotateFileResponse {
    /**
     * The output location and metadata from AsyncAnnotateFileRequest.
     */
    outputConfig: Schema$GoogleCloudVisionV1p2beta1OutputConfig;
}
/**
 * Response to an async batch file annotation request.
 */
export interface Schema$GoogleCloudVisionV1p2beta1AsyncBatchAnnotateFilesResponse {
    /**
     * The list of file annotation responses, one for each request in
     * AsyncBatchAnnotateFilesRequest.
     */
    responses: Schema$GoogleCloudVisionV1p2beta1AsyncAnnotateFileResponse[];
}
/**
 * The Google Cloud Storage location where the output will be written to.
 */
export interface Schema$GoogleCloudVisionV1p2beta1GcsDestination {
    /**
     * Google Cloud Storage URI where the results will be stored. Results will be
     * in JSON format and preceded by its corresponding input URI. This field can
     * either represent a single file, or a prefix for multiple outputs. Prefixes
     * must end in a `/`.  Examples:  *    File: gs://bucket-name/filename.json *
     * Prefix: gs://bucket-name/prefix/here/ *    File:
     * gs://bucket-name/prefix/here  If multiple outputs, each response is still
     * AnnotateFileResponse, each of which contains some subset of the full list
     * of AnnotateImageResponse. Multiple outputs can happen if, for example, the
     * output JSON is too large and overflows into multiple sharded files.
     */
    uri: string;
}
/**
 * Contains metadata for the BatchAnnotateImages operation.
 */
export interface Schema$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.
 */
export interface Schema$GoogleCloudVisionV1p2beta1OutputConfig {
    /**
     * The max number of response protos to put into each output JSON file on GCS.
     * The valid range is [1, 100]. If not specified, the default value is 20. For
     * example, for one pdf file with 100 pages, 100 response protos will be
     * generated. If `batch_size` = 20, then 5 json files each containing 20
     * response protos will be written under the prefix `gcs_destination`.`uri`.
     * Currently, batch_size only applies to GcsDestination, with potential future
     * support for other output configurations.
     */
    batchSize: number;
    /**
     * The Google Cloud Storage location to write the output(s) to.
     */
    gcsDestination: Schema$GoogleCloudVisionV1p2beta1GcsDestination;
}
/**
 * Client image to perform Google Cloud Vision API tasks over.
 */
export interface Schema$Image {
    /**
     * Image content, represented as a stream of bytes. Note: As with all `bytes`
     * fields, protobuffers use a pure binary representation, whereas JSON
     * representations use base64.
     */
    content: string;
    /**
     * Google Cloud Storage image location, or publicly-accessible image URL. If
     * both `content` and `source` are provided for an image, `content` takes
     * precedence and is used to perform the image annotation request.
     */
    source: Schema$ImageSource;
}
/**
 * Image context and/or feature-specific parameters.
 */
export interface Schema$ImageContext {
    /**
     * Parameters for crop hints annotation request.
     */
    cropHintsParams: Schema$CropHintsParams;
    /**
     * 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$LatLongRect;
    /**
     * Parameters for web detection.
     */
    webDetectionParams: Schema$WebDetectionParams;
}
/**
 * Stores image properties, such as dominant colors.
 */
export interface Schema$ImageProperties {
    /**
     * If present, dominant colors completed successfully.
     */
    dominantColors: Schema$DominantColorsAnnotation;
}
/**
 * External image source (Google Cloud Storage or web URL image location).
 */
export interface Schema$ImageSource {
    /**
     * **Use `image_uri` instead.**  The Google Cloud Storage  URI of the form
     * `gs://bucket_name/object_name`. Object versioning is not supported. See
     * [Google Cloud Storage Request
     * URIs](https://cloud.google.com/storage/docs/reference-uris) for more info.
     */
    gcsImageUri: string;
    /**
     * The URI of the source image. Can be either:  1. A Google Cloud Storage URI
     * of the form    `gs://bucket_name/object_name`. Object versioning is not
     * supported. See    [Google Cloud Storage Request
     * URIs](https://cloud.google.com/storage/docs/reference-uris) for more info.
     * 2. A publicly-accessible image HTTP/HTTPS URL. When fetching images from
     * HTTP/HTTPS URLs, Google cannot guarantee that the request will be
     * completed. Your request may fail if the specified host denies the request
     * (e.g. due to request throttling or DOS prevention), or if Google throttles
     * requests to the site for abuse prevention. You should not    depend on
     * externally-hosted images for production applications.  When both
     * `gcs_image_uri` and `image_uri` are specified, `image_uri` takes
     * precedence.
     */
    imageUri: string;
}
/**
 * A face-specific landmark (for example, a face feature).
 */
export interface Schema$Landmark {
    /**
     * Face landmark position.
     */
    position: Schema$Position;
    /**
     * Face landmark type.
     */
    type: string;
}
/**
 * An object representing a latitude/longitude pair. This is expressed as a pair
 * of doubles representing degrees latitude and degrees longitude. Unless
 * specified otherwise, this must conform to the <a
 * href="http://www.unoosa.org/pdf/icg/2012/template/WGS_84.pdf">WGS84
 * standard</a>. Values must be within normalized ranges.
 */
export interface Schema$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;
}
/**
 * Rectangle determined by min and max `LatLng` pairs.
 */
export interface Schema$LatLongRect {
    /**
     * Max lat/long pair.
     */
    maxLatLng: Schema$LatLng;
    /**
     * Min lat/long pair.
     */
    minLatLng: Schema$LatLng;
}
/**
 * The response message for Operations.ListOperations.
 */
export interface Schema$ListOperationsResponse {
    /**
     * The standard List next-page token.
     */
    nextPageToken: string;
    /**
     * A list of operations that matches the specified filter in the request.
     */
    operations: Schema$Operation[];
}
/**
 * Detected entity location information.
 */
export interface Schema$LocationInfo {
    /**
     * lat/long location coordinates.
     */
    latLng: Schema$LatLng;
}
/**
 * This resource represents a long-running operation that is the result of a
 * network API call.
 */
export interface Schema$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$Status;
    /**
     * Service-specific metadata associated with the operation.  It typically
     * contains progress information and common metadata such as create time. Some
     * services might not provide such metadata.  Any method that returns a
     * long-running operation should document the metadata type, if any.
     */
    metadata: any;
    /**
     * The server-assigned name, which is only unique within the same service that
     * originally returns it. If you use the default HTTP mapping, the `name`
     * should have the format of `operations/some/unique/name`.
     */
    name: string;
    /**
     * The normal response of the operation in case of success.  If the original
     * method returns no data on success, such as `Delete`, the response is
     * `google.protobuf.Empty`.  If the original method is standard
     * `Get`/`Create`/`Update`, the response should be the resource.  For other
     * methods, the response should have the type `XxxResponse`, where `Xxx` is
     * the original method name.  For example, if the original method name is
     * `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
     */
    response: any;
}
/**
 * Detected page from OCR.
 */
export interface Schema$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.
 */
export interface Schema$Paragraph {
    /**
     * The bounding box for the paragraph. The vertices are in the order of
     * top-left, top-right, bottom-right, bottom-left. When a rotation of the
     * bounding box is detected the rotation is represented as around the top-left
     * corner as defined when the text is read in the 'natural'
     * orientation. For example:   * when the text is horizontal it might look
     * like:      0----1      |    |      3----2   * when it's rotated 180
     * degrees around the top-left corner it becomes:      2----3      |    |
     * 1----0   and the vertice order will still be (0, 1, 2, 3).
     */
    boundingBox: Schema$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.
 */
export interface Schema$Position {
    /**
     * X coordinate.
     */
    x: number;
    /**
     * Y coordinate.
     */
    y: number;
    /**
     * Z coordinate (or depth).
     */
    z: number;
}
/**
 * A `Property` consists of a user-supplied name/value pair.
 */
export interface Schema$Property {
    /**
     * 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).
 */
export 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.
 */
export 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: 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.
 */
export interface Schema$Symbol {
    /**
     * The bounding box for the symbol. The vertices are in the order of top-left,
     * top-right, bottom-right, bottom-left. When a rotation of the bounding box
     * is detected the rotation is represented as around the top-left corner as
     * defined when the text is read in the 'natural' orientation. For
     * example:   * when the text is horizontal it might look like:      0----1 |
     * |      3----2   * when it's rotated 180 degrees around the top-left
     * corner it becomes:      2----3      |    |      1----0   and the vertice
     * order will still be (0, 1, 2, 3).
     */
    boundingBox: Schema$BoundingPoly;
    /**
     * Confidence of the OCR results for the symbol. Range [0, 1].
     */
    confidence: number;
    /**
     * Additional information detected for the symbol.
     */
    property: Schema$TextProperty;
    /**
     * The actual UTF-8 representation of the symbol.
     */
    text: string;
}
/**
 * TextAnnotation contains a structured representation of OCR extracted text.
 * The hierarchy of an OCR extracted text structure is like this: TextAnnotation
 * -> Page -> Block -> Paragraph -> Word -> Symbol Each
 * structural component, starting from Page, may further have their own
 * properties. Properties describe detected languages, breaks etc.. Please refer
 * to the TextAnnotation.TextProperty message definition below for more detail.
 */
export interface Schema$TextAnnotation {
    /**
     * List of pages detected by OCR.
     */
    pages: Schema$Page[];
    /**
     * UTF-8 text detected on the pages.
     */
    text: string;
}
/**
 * Additional information detected on the structural component.
 */
export interface Schema$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.
 */
export interface Schema$Vertex {
    /**
     * X coordinate.
     */
    x: number;
    /**
     * Y coordinate.
     */
    y: number;
}
/**
 * Relevant information for the image from the Internet.
 */
export interface Schema$WebDetection {
    /**
     * Best guess text labels for the request image.
     */
    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[];
}
/**
 * Parameters for web detection request.
 */
export interface Schema$WebDetectionParams {
    /**
     * Whether to include results derived from the geo information in the image.
     */
    includeGeoResults: boolean;
}
/**
 * Entity deduced from similar images on the Internet.
 */
export interface Schema$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.
 */
export interface Schema$WebImage {
    /**
     * (Deprecated) Overall relevancy score for the image.
     */
    score: number;
    /**
     * The result image URL.
     */
    url: string;
}
/**
 * Label to provide extra metadata for the web detection.
 */
export interface Schema$WebLabel {
    /**
     * 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.
 */
export 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$WebImage[];
    /**
     * (Deprecated) Overall relevancy score for the web page.
     */
    score: number;
    /**
     * The result web page URL.
     */
    url: string;
}
/**
 * A word representation.
 */
export interface Schema$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 '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$BoundingPoly;
    /**
     * Confidence of the OCR results for the word. Range [0, 1].
     */
    confidence: number;
    /**
     * Additional information detected for the word.
     */
    property: Schema$TextProperty;
    /**
     * List of symbols in the word. The order of the symbols follows the natural
     * reading order.
     */
    symbols: Schema$Symbol[];
}
export declare class Resource$Images {
    root: Vision;
    constructor(root: Vision);
    getRoot(): Vision;
    /**
     * vision.images.annotate
     * @desc Run image detection and annotation for a batch of images.
     * @example
     * * // BEFORE RUNNING:
     * // ---------------
     * // 1. If not already done, enable the Google Cloud Vision API
     * //    and check the quota for your project at
     * //    https://console.developers.google.com/apis/api/vision
     * // 2. This sample uses Application Default Credentials for authentication.
     * //    If not already done, install the gcloud CLI from
     * //    https://cloud.google.com/sdk and run
     * //    `gcloud beta auth application-default login`.
     * //    For more information, see
     * //
     * https://developers.google.com/identity/protocols/application-default-credentials
     * // 3. Install the Node.js client library by running
     * //    `npm install googleapis --save`
     *
     * var google = require('googleapis');
     * var vision = google.vision('v1');
     *
     * authorize(function(authClient) {
     *   var request = {
     *     resource: {
     *       // TODO: Add desired properties to the request body.
     *     },
     *
     *     auth: authClient,
     *   };
     *
     *   vision.images.annotate(request, function(err, response) {
     *     if (err) {
     *       console.error(err);
     *       return;
     *     }
     *
     *     // TODO: Change code below to process the `response` object:
     *     console.log(JSON.stringify(response, null, 2));
     *   });
     * });
     *
     * function authorize(callback) {
     *   google.auth.getApplicationDefault(function(err, authClient) {
     *     if (err) {
     *       console.error('authentication failed: ', err);
     *       return;
     *     }
     *     if (authClient.createScopedRequired &&
     * authClient.createScopedRequired()) { var scopes =
     * ['https://www.googleapis.com/auth/cloud-platform']; authClient =
     * authClient.createScoped(scopes);
     *     }
     *     callback(authClient);
     *   });
     * }
     * @alias vision.images.annotate
     * @memberOf! ()
     *
     * @param {object} params Parameters for request
     * @param {().BatchAnnotateImagesRequest} 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?: any, options?: MethodOptions): AxiosPromise<Schema$BatchAnnotateImagesResponse>;
    annotate(params?: any, options?: MethodOptions | BodyResponseCallback<Schema$BatchAnnotateImagesResponse>, callback?: BodyResponseCallback<Schema$BatchAnnotateImagesResponse>): void;
}
export declare class Resource$Locations {
    root: Vision;
    operations: Resource$Locations$Operations;
    constructor(root: Vision);
    getRoot(): Vision;
}
export declare class Resource$Locations$Operations {
    root: Vision;
    constructor(root: Vision);
    getRoot(): Vision;
    /**
     * vision.locations.operations.get
     * @desc Gets the latest state of a long-running operation.  Clients can use
     * this method to poll the operation result at intervals as recommended by the
     * API service.
     * @alias vision.locations.operations.get
     * @memberOf! ()
     *
     * @param {object} params Parameters for request
     * @param {string} params.name The name of the operation resource.
     * @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
     */
    get(params?: any, options?: MethodOptions): AxiosPromise<Schema$Operation>;
    get(params?: any, options?: MethodOptions | BodyResponseCallback<Schema$Operation>, callback?: BodyResponseCallback<Schema$Operation>): void;
}
export declare class Resource$Operations {
    root: Vision;
    constructor(root: Vision);
    getRoot(): Vision;
    /**
     * vision.operations.cancel
     * @desc Starts asynchronous cancellation on a long-running operation.  The
     * server makes a best effort to cancel the operation, but success is not
     * guaranteed.  If the server doesn't support this method, it returns
     * `google.rpc.Code.UNIMPLEMENTED`.  Clients can use Operations.GetOperation
     * or other methods to check whether the cancellation succeeded or whether the
     * operation completed despite cancellation. On successful cancellation, the
     * operation is not deleted; instead, it becomes an operation with an
     * Operation.error value with a google.rpc.Status.code of 1, corresponding to
     * `Code.CANCELLED`.
     * @alias vision.operations.cancel
     * @memberOf! ()
     *
     * @param {object} params Parameters for request
     * @param {string} params.name The name of the operation resource to be cancelled.
     * @param {().CancelOperationRequest} 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
     */
    cancel(params?: any, options?: MethodOptions): AxiosPromise<Schema$Empty>;
    cancel(params?: any, options?: MethodOptions | BodyResponseCallback<Schema$Empty>, callback?: BodyResponseCallback<Schema$Empty>): void;
    /**
     * vision.operations.delete
     * @desc Deletes a long-running operation. This method indicates that the
     * client is no longer interested in the operation result. It does not cancel
     * the operation. If the server doesn't support this method, it returns
     * `google.rpc.Code.UNIMPLEMENTED`.
     * @alias vision.operations.delete
     * @memberOf! ()
     *
     * @param {object} params Parameters for request
     * @param {string} params.name The name of the operation resource to be deleted.
     * @param {object} [options] Optionally override request options, such as `url`, `method`, and `encoding`.
     * @param {callback} callback The callback that handles the response.
     * @return {object} Request object
     */
    delete(params?: any, options?: MethodOptions): AxiosPromise<Schema$Empty>;
    delete(params?: any, options?: MethodOptions | BodyResponseCallback<Schema$Empty>, callback?: BodyResponseCallback<Schema$Empty>): void;
    /**
     * vision.operations.get
     * @desc Gets the latest state of a long-running operation.  Clients can use
     * this method to poll the operation result at intervals as recommended by the
     * API service.
     * @alias vision.operations.get
     * @memberOf! ()
     *
     * @param {object} params Parameters for request
     * @param {string} params.name The name of the operation resource.
     * @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
     */
    get(params?: any, options?: MethodOptions): AxiosPromise<Schema$Operation>;
    get(params?: any, options?: MethodOptions | BodyResponseCallback<Schema$Operation>, callback?: BodyResponseCallback<Schema$Operation>): void;
    /**
     * vision.operations.list
     * @desc Lists operations that match the specified filter in the request. If
     * the server doesn't support this method, it returns `UNIMPLEMENTED`.  NOTE:
     * the `name` binding allows API services to override the binding to use
     * different resource name schemes, such as `users/x/operations`. To override
     * the binding, API services can add a binding such as
     * `"/v1/{name=users/x}/operations"` to their service configuration. For
     * backwards compatibility, the default name includes the operations
     * collection id, however overriding users must ensure the name binding is the
     * parent resource, without the operations collection id.
     * @alias vision.operations.list
     * @memberOf! ()
     *
     * @param {object} params Parameters for request
     * @param {string=} params.filter The standard list filter.
     * @param {string} params.name The name of the operation's parent resource.
     * @param {integer=} params.pageSize The standard list page size.
     * @param {string=} params.pageToken The standard list page token.
     * @param {object} [options] Optionally override request options, such as `url`, `method`, and `encoding`.
     * @param {callback} callback The callback that handles the response.
     * @return {object} Request object
     */
    list(params?: any, options?: MethodOptions): AxiosPromise<Schema$ListOperationsResponse>;
    list(params?: any, options?: MethodOptions | BodyResponseCallback<Schema$ListOperationsResponse>, callback?: BodyResponseCallback<Schema$ListOperationsResponse>): void;
}