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models.go
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package computervision
// Copyright (c) Microsoft and contributors. 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.
//
// Code generated by Microsoft (R) AutoRest Code Generator.
// Changes may cause incorrect behavior and will be lost if the code is regenerated.
import (
"encoding/json"
"github.com/Azure/go-autorest/autorest"
"io"
)
// The package's fully qualified name.
const fqdn = "github.com/Azure/azure-sdk-for-go/services/cognitiveservices/v3.0/computervision"
// DescriptionExclude enumerates the values for description exclude.
type DescriptionExclude string
const (
// Celebrities ...
Celebrities DescriptionExclude = "Celebrities"
// Landmarks ...
Landmarks DescriptionExclude = "Landmarks"
)
// PossibleDescriptionExcludeValues returns an array of possible values for the DescriptionExclude const type.
func PossibleDescriptionExcludeValues() []DescriptionExclude {
return []DescriptionExclude{Celebrities, Landmarks}
}
// Details enumerates the values for details.
type Details string
const (
// DetailsCelebrities ...
DetailsCelebrities Details = "Celebrities"
// DetailsLandmarks ...
DetailsLandmarks Details = "Landmarks"
)
// PossibleDetailsValues returns an array of possible values for the Details const type.
func PossibleDetailsValues() []Details {
return []Details{DetailsCelebrities, DetailsLandmarks}
}
// Gender enumerates the values for gender.
type Gender string
const (
// Female ...
Female Gender = "Female"
// Male ...
Male Gender = "Male"
)
// PossibleGenderValues returns an array of possible values for the Gender const type.
func PossibleGenderValues() []Gender {
return []Gender{Female, Male}
}
// OcrDetectionLanguage enumerates the values for ocr detection language.
type OcrDetectionLanguage string
const (
// De ...
De OcrDetectionLanguage = "de"
// En ...
En OcrDetectionLanguage = "en"
// Es ...
Es OcrDetectionLanguage = "es"
// Fr ...
Fr OcrDetectionLanguage = "fr"
// It ...
It OcrDetectionLanguage = "it"
// Nl ...
Nl OcrDetectionLanguage = "nl"
// Pt ...
Pt OcrDetectionLanguage = "pt"
)
// PossibleOcrDetectionLanguageValues returns an array of possible values for the OcrDetectionLanguage const type.
func PossibleOcrDetectionLanguageValues() []OcrDetectionLanguage {
return []OcrDetectionLanguage{De, En, Es, Fr, It, Nl, Pt}
}
// OcrLanguages enumerates the values for ocr languages.
type OcrLanguages string
const (
// OcrLanguagesAr ...
OcrLanguagesAr OcrLanguages = "ar"
// OcrLanguagesCs ...
OcrLanguagesCs OcrLanguages = "cs"
// OcrLanguagesDa ...
OcrLanguagesDa OcrLanguages = "da"
// OcrLanguagesDe ...
OcrLanguagesDe OcrLanguages = "de"
// OcrLanguagesEl ...
OcrLanguagesEl OcrLanguages = "el"
// OcrLanguagesEn ...
OcrLanguagesEn OcrLanguages = "en"
// OcrLanguagesEs ...
OcrLanguagesEs OcrLanguages = "es"
// OcrLanguagesFi ...
OcrLanguagesFi OcrLanguages = "fi"
// OcrLanguagesFr ...
OcrLanguagesFr OcrLanguages = "fr"
// OcrLanguagesHu ...
OcrLanguagesHu OcrLanguages = "hu"
// OcrLanguagesIt ...
OcrLanguagesIt OcrLanguages = "it"
// OcrLanguagesJa ...
OcrLanguagesJa OcrLanguages = "ja"
// OcrLanguagesKo ...
OcrLanguagesKo OcrLanguages = "ko"
// OcrLanguagesNb ...
OcrLanguagesNb OcrLanguages = "nb"
// OcrLanguagesNl ...
OcrLanguagesNl OcrLanguages = "nl"
// OcrLanguagesPl ...
OcrLanguagesPl OcrLanguages = "pl"
// OcrLanguagesPt ...
OcrLanguagesPt OcrLanguages = "pt"
// OcrLanguagesRo ...
OcrLanguagesRo OcrLanguages = "ro"
// OcrLanguagesRu ...
OcrLanguagesRu OcrLanguages = "ru"
// OcrLanguagesSk ...
OcrLanguagesSk OcrLanguages = "sk"
// OcrLanguagesSrCyrl ...
OcrLanguagesSrCyrl OcrLanguages = "sr-Cyrl"
// OcrLanguagesSrLatn ...
OcrLanguagesSrLatn OcrLanguages = "sr-Latn"
// OcrLanguagesSv ...
OcrLanguagesSv OcrLanguages = "sv"
// OcrLanguagesTr ...
OcrLanguagesTr OcrLanguages = "tr"
// OcrLanguagesUnk ...
OcrLanguagesUnk OcrLanguages = "unk"
// OcrLanguagesZhHans ...
OcrLanguagesZhHans OcrLanguages = "zh-Hans"
// OcrLanguagesZhHant ...
OcrLanguagesZhHant OcrLanguages = "zh-Hant"
)
// PossibleOcrLanguagesValues returns an array of possible values for the OcrLanguages const type.
func PossibleOcrLanguagesValues() []OcrLanguages {
return []OcrLanguages{OcrLanguagesAr, OcrLanguagesCs, OcrLanguagesDa, OcrLanguagesDe, OcrLanguagesEl, OcrLanguagesEn, OcrLanguagesEs, OcrLanguagesFi, OcrLanguagesFr, OcrLanguagesHu, OcrLanguagesIt, OcrLanguagesJa, OcrLanguagesKo, OcrLanguagesNb, OcrLanguagesNl, OcrLanguagesPl, OcrLanguagesPt, OcrLanguagesRo, OcrLanguagesRu, OcrLanguagesSk, OcrLanguagesSrCyrl, OcrLanguagesSrLatn, OcrLanguagesSv, OcrLanguagesTr, OcrLanguagesUnk, OcrLanguagesZhHans, OcrLanguagesZhHant}
}
// OperationStatusCodes enumerates the values for operation status codes.
type OperationStatusCodes string
const (
// Failed ...
Failed OperationStatusCodes = "failed"
// NotStarted ...
NotStarted OperationStatusCodes = "notStarted"
// Running ...
Running OperationStatusCodes = "running"
// Succeeded ...
Succeeded OperationStatusCodes = "succeeded"
)
// PossibleOperationStatusCodesValues returns an array of possible values for the OperationStatusCodes const type.
func PossibleOperationStatusCodesValues() []OperationStatusCodes {
return []OperationStatusCodes{Failed, NotStarted, Running, Succeeded}
}
// TextRecognitionResultDimensionUnit enumerates the values for text recognition result dimension unit.
type TextRecognitionResultDimensionUnit string
const (
// Inch ...
Inch TextRecognitionResultDimensionUnit = "inch"
// Pixel ...
Pixel TextRecognitionResultDimensionUnit = "pixel"
)
// PossibleTextRecognitionResultDimensionUnitValues returns an array of possible values for the TextRecognitionResultDimensionUnit const type.
func PossibleTextRecognitionResultDimensionUnitValues() []TextRecognitionResultDimensionUnit {
return []TextRecognitionResultDimensionUnit{Inch, Pixel}
}
// VisualFeatureTypes enumerates the values for visual feature types.
type VisualFeatureTypes string
const (
// VisualFeatureTypesAdult ...
VisualFeatureTypesAdult VisualFeatureTypes = "Adult"
// VisualFeatureTypesBrands ...
VisualFeatureTypesBrands VisualFeatureTypes = "Brands"
// VisualFeatureTypesCategories ...
VisualFeatureTypesCategories VisualFeatureTypes = "Categories"
// VisualFeatureTypesColor ...
VisualFeatureTypesColor VisualFeatureTypes = "Color"
// VisualFeatureTypesDescription ...
VisualFeatureTypesDescription VisualFeatureTypes = "Description"
// VisualFeatureTypesFaces ...
VisualFeatureTypesFaces VisualFeatureTypes = "Faces"
// VisualFeatureTypesImageType ...
VisualFeatureTypesImageType VisualFeatureTypes = "ImageType"
// VisualFeatureTypesObjects ...
VisualFeatureTypesObjects VisualFeatureTypes = "Objects"
// VisualFeatureTypesTags ...
VisualFeatureTypesTags VisualFeatureTypes = "Tags"
)
// PossibleVisualFeatureTypesValues returns an array of possible values for the VisualFeatureTypes const type.
func PossibleVisualFeatureTypesValues() []VisualFeatureTypes {
return []VisualFeatureTypes{VisualFeatureTypesAdult, VisualFeatureTypesBrands, VisualFeatureTypesCategories, VisualFeatureTypesColor, VisualFeatureTypesDescription, VisualFeatureTypesFaces, VisualFeatureTypesImageType, VisualFeatureTypesObjects, VisualFeatureTypesTags}
}
// AdultInfo an object describing whether the image contains adult-oriented content and/or is racy.
type AdultInfo struct {
// IsAdultContent - A value indicating if the image contains adult-oriented content.
IsAdultContent *bool `json:"isAdultContent,omitempty"`
// IsRacyContent - A value indicating if the image is racy.
IsRacyContent *bool `json:"isRacyContent,omitempty"`
// IsGoryContent - A value indicating if the image is gory.
IsGoryContent *bool `json:"isGoryContent,omitempty"`
// AdultScore - Score from 0 to 1 that indicates how much the content is considered adult-oriented within the image.
AdultScore *float64 `json:"adultScore,omitempty"`
// RacyScore - Score from 0 to 1 that indicates how suggestive is the image.
RacyScore *float64 `json:"racyScore,omitempty"`
// GoreScore - Score from 0 to 1 that indicates how gory is the image.
GoreScore *float64 `json:"goreScore,omitempty"`
}
// AnalyzeResults analyze batch operation result.
type AnalyzeResults struct {
// Version - Version of schema used for this result.
Version *string `json:"version,omitempty"`
// ReadResults - Text extracted from the input.
ReadResults *[]ReadResult `json:"readResults,omitempty"`
}
// AreaOfInterestResult result of AreaOfInterest operation.
type AreaOfInterestResult struct {
autorest.Response `json:"-"`
// AreaOfInterest - READ-ONLY; A bounding box for an area of interest inside an image.
AreaOfInterest *BoundingRect `json:"areaOfInterest,omitempty"`
// RequestID - Id of the REST API request.
RequestID *string `json:"requestId,omitempty"`
Metadata *ImageMetadata `json:"metadata,omitempty"`
}
// BoundingRect a bounding box for an area inside an image.
type BoundingRect struct {
// X - X-coordinate of the top left point of the area, in pixels.
X *int32 `json:"x,omitempty"`
// Y - Y-coordinate of the top left point of the area, in pixels.
Y *int32 `json:"y,omitempty"`
// W - Width measured from the top-left point of the area, in pixels.
W *int32 `json:"w,omitempty"`
// H - Height measured from the top-left point of the area, in pixels.
H *int32 `json:"h,omitempty"`
}
// Category an object describing identified category.
type Category struct {
// Name - Name of the category.
Name *string `json:"name,omitempty"`
// Score - Scoring of the category.
Score *float64 `json:"score,omitempty"`
// Detail - Details of the identified category.
Detail *CategoryDetail `json:"detail,omitempty"`
}
// CategoryDetail an object describing additional category details.
type CategoryDetail struct {
// Celebrities - An array of celebrities if any identified.
Celebrities *[]CelebritiesModel `json:"celebrities,omitempty"`
// Landmarks - An array of landmarks if any identified.
Landmarks *[]LandmarksModel `json:"landmarks,omitempty"`
}
// CelebritiesModel an object describing possible celebrity identification.
type CelebritiesModel struct {
// Name - Name of the celebrity.
Name *string `json:"name,omitempty"`
// Confidence - Confidence level for the celebrity recognition as a value ranging from 0 to 1.
Confidence *float64 `json:"confidence,omitempty"`
// FaceRectangle - Location of the identified face in the image.
FaceRectangle *FaceRectangle `json:"faceRectangle,omitempty"`
}
// CelebrityResults result of domain-specific classifications for the domain of celebrities.
type CelebrityResults struct {
// Celebrities - List of celebrities recognized in the image.
Celebrities *[]CelebritiesModel `json:"celebrities,omitempty"`
// RequestID - Id of the REST API request.
RequestID *string `json:"requestId,omitempty"`
Metadata *ImageMetadata `json:"metadata,omitempty"`
}
// ColorInfo an object providing additional metadata describing color attributes.
type ColorInfo struct {
// DominantColorForeground - Possible dominant foreground color.
DominantColorForeground *string `json:"dominantColorForeground,omitempty"`
// DominantColorBackground - Possible dominant background color.
DominantColorBackground *string `json:"dominantColorBackground,omitempty"`
// DominantColors - An array of possible dominant colors.
DominantColors *[]string `json:"dominantColors,omitempty"`
// AccentColor - Possible accent color.
AccentColor *string `json:"accentColor,omitempty"`
// IsBWImg - A value indicating if the image is black and white.
IsBWImg *bool `json:"isBWImg,omitempty"`
}
// DetectedBrand a brand detected in an image.
type DetectedBrand struct {
// Name - READ-ONLY; Label for the brand.
Name *string `json:"name,omitempty"`
// Confidence - READ-ONLY; Confidence score of having observed the brand in the image, as a value ranging from 0 to 1.
Confidence *float64 `json:"confidence,omitempty"`
// Rectangle - READ-ONLY; Approximate location of the detected brand.
Rectangle *BoundingRect `json:"rectangle,omitempty"`
}
// DetectedObject an object detected in an image.
type DetectedObject struct {
// Rectangle - READ-ONLY; Approximate location of the detected object.
Rectangle *BoundingRect `json:"rectangle,omitempty"`
// Object - Label for the object.
Object *string `json:"object,omitempty"`
// Confidence - Confidence score of having observed the object in the image, as a value ranging from 0 to 1.
Confidence *float64 `json:"confidence,omitempty"`
// Parent - The parent object, from a taxonomy perspective.
// The parent object is a more generic form of this object. For example, a 'bulldog' would have a parent of 'dog'.
Parent *ObjectHierarchy `json:"parent,omitempty"`
}
// DetectResult result of a DetectImage call.
type DetectResult struct {
autorest.Response `json:"-"`
// Objects - READ-ONLY; An array of detected objects.
Objects *[]DetectedObject `json:"objects,omitempty"`
// RequestID - Id of the REST API request.
RequestID *string `json:"requestId,omitempty"`
Metadata *ImageMetadata `json:"metadata,omitempty"`
}
// DomainModelResults result of image analysis using a specific domain model including additional metadata.
type DomainModelResults struct {
autorest.Response `json:"-"`
// Result - Model-specific response.
Result interface{} `json:"result,omitempty"`
// RequestID - Id of the REST API request.
RequestID *string `json:"requestId,omitempty"`
Metadata *ImageMetadata `json:"metadata,omitempty"`
}
// Error details about the API request error.
type Error struct {
// Code - The error code.
Code interface{} `json:"code,omitempty"`
// Message - A message explaining the error reported by the service.
Message *string `json:"message,omitempty"`
// RequestID - A unique request identifier.
RequestID *string `json:"requestId,omitempty"`
}
// FaceDescription an object describing a face identified in the image.
type FaceDescription struct {
// Age - Possible age of the face.
Age *int32 `json:"age,omitempty"`
// Gender - Possible gender of the face. Possible values include: 'Male', 'Female'
Gender Gender `json:"gender,omitempty"`
// FaceRectangle - Rectangle in the image containing the identified face.
FaceRectangle *FaceRectangle `json:"faceRectangle,omitempty"`
}
// FaceRectangle an object describing face rectangle.
type FaceRectangle struct {
// Left - X-coordinate of the top left point of the face, in pixels.
Left *int32 `json:"left,omitempty"`
// Top - Y-coordinate of the top left point of the face, in pixels.
Top *int32 `json:"top,omitempty"`
// Width - Width measured from the top-left point of the face, in pixels.
Width *int32 `json:"width,omitempty"`
// Height - Height measured from the top-left point of the face, in pixels.
Height *int32 `json:"height,omitempty"`
}
// ImageAnalysis result of AnalyzeImage operation.
type ImageAnalysis struct {
autorest.Response `json:"-"`
// Categories - An array indicating identified categories.
Categories *[]Category `json:"categories,omitempty"`
// Adult - An object describing whether the image contains adult-oriented content and/or is racy.
Adult *AdultInfo `json:"adult,omitempty"`
// Color - An object providing additional metadata describing color attributes.
Color *ColorInfo `json:"color,omitempty"`
// ImageType - An object providing possible image types and matching confidence levels.
ImageType *ImageType `json:"imageType,omitempty"`
// Tags - A list of tags with confidence level.
Tags *[]ImageTag `json:"tags,omitempty"`
// Description - A collection of content tags, along with a list of captions sorted by confidence level, and image metadata.
Description *ImageDescriptionDetails `json:"description,omitempty"`
// Faces - An array of possible faces within the image.
Faces *[]FaceDescription `json:"faces,omitempty"`
// Objects - Array of objects describing what was detected in the image.
Objects *[]DetectedObject `json:"objects,omitempty"`
// Brands - Array of brands detected in the image.
Brands *[]DetectedBrand `json:"brands,omitempty"`
// RequestID - Id of the REST API request.
RequestID *string `json:"requestId,omitempty"`
Metadata *ImageMetadata `json:"metadata,omitempty"`
}
// ImageCaption an image caption, i.e. a brief description of what the image depicts.
type ImageCaption struct {
// Text - The text of the caption.
Text *string `json:"text,omitempty"`
// Confidence - The level of confidence the service has in the caption.
Confidence *float64 `json:"confidence,omitempty"`
}
// ImageDescription a collection of content tags, along with a list of captions sorted by confidence level,
// and image metadata.
type ImageDescription struct {
autorest.Response `json:"-"`
// ImageDescriptionDetails - A collection of content tags, along with a list of captions sorted by confidence level, and image metadata.
*ImageDescriptionDetails `json:"description,omitempty"`
// RequestID - Id of the REST API request.
RequestID *string `json:"requestId,omitempty"`
Metadata *ImageMetadata `json:"metadata,omitempty"`
}
// MarshalJSON is the custom marshaler for ImageDescription.
func (ID ImageDescription) MarshalJSON() ([]byte, error) {
objectMap := make(map[string]interface{})
if ID.ImageDescriptionDetails != nil {
objectMap["description"] = ID.ImageDescriptionDetails
}
if ID.RequestID != nil {
objectMap["requestId"] = ID.RequestID
}
if ID.Metadata != nil {
objectMap["metadata"] = ID.Metadata
}
return json.Marshal(objectMap)
}
// UnmarshalJSON is the custom unmarshaler for ImageDescription struct.
func (ID *ImageDescription) UnmarshalJSON(body []byte) error {
var m map[string]*json.RawMessage
err := json.Unmarshal(body, &m)
if err != nil {
return err
}
for k, v := range m {
switch k {
case "description":
if v != nil {
var imageDescriptionDetails ImageDescriptionDetails
err = json.Unmarshal(*v, &imageDescriptionDetails)
if err != nil {
return err
}
ID.ImageDescriptionDetails = &imageDescriptionDetails
}
case "requestId":
if v != nil {
var requestID string
err = json.Unmarshal(*v, &requestID)
if err != nil {
return err
}
ID.RequestID = &requestID
}
case "metadata":
if v != nil {
var metadata ImageMetadata
err = json.Unmarshal(*v, &metadata)
if err != nil {
return err
}
ID.Metadata = &metadata
}
}
}
return nil
}
// ImageDescriptionDetails a collection of content tags, along with a list of captions sorted by confidence
// level, and image metadata.
type ImageDescriptionDetails struct {
// Tags - A collection of image tags.
Tags *[]string `json:"tags,omitempty"`
// Captions - A list of captions, sorted by confidence level.
Captions *[]ImageCaption `json:"captions,omitempty"`
}
// ImageMetadata image metadata.
type ImageMetadata struct {
// Width - Image width, in pixels.
Width *int32 `json:"width,omitempty"`
// Height - Image height, in pixels.
Height *int32 `json:"height,omitempty"`
// Format - Image format.
Format *string `json:"format,omitempty"`
}
// ImageTag an entity observation in the image, along with the confidence score.
type ImageTag struct {
// Name - Name of the entity.
Name *string `json:"name,omitempty"`
// Confidence - The level of confidence that the entity was observed.
Confidence *float64 `json:"confidence,omitempty"`
// Hint - Optional hint/details for this tag.
Hint *string `json:"hint,omitempty"`
}
// ImageType an object providing possible image types and matching confidence levels.
type ImageType struct {
// ClipArtType - Confidence level that the image is a clip art.
ClipArtType *int32 `json:"clipArtType,omitempty"`
// LineDrawingType - Confidence level that the image is a line drawing.
LineDrawingType *int32 `json:"lineDrawingType,omitempty"`
}
// ImageURL ...
type ImageURL struct {
// URL - Publicly reachable URL of an image.
URL *string `json:"url,omitempty"`
}
// LandmarkResults result of domain-specific classifications for the domain of landmarks.
type LandmarkResults struct {
// Landmarks - List of landmarks recognized in the image.
Landmarks *[]LandmarksModel `json:"landmarks,omitempty"`
// RequestID - Id of the REST API request.
RequestID *string `json:"requestId,omitempty"`
Metadata *ImageMetadata `json:"metadata,omitempty"`
}
// LandmarksModel a landmark recognized in the image.
type LandmarksModel struct {
// Name - Name of the landmark.
Name *string `json:"name,omitempty"`
// Confidence - Confidence level for the landmark recognition as a value ranging from 0 to 1.
Confidence *float64 `json:"confidence,omitempty"`
}
// Line an object representing a recognized text line.
type Line struct {
// Language - The BCP-47 language code of the recognized text line. Only provided where the language of the line differs from the page's.
Language *string `json:"language,omitempty"`
// BoundingBox - Bounding box of a recognized line.
BoundingBox *[]float64 `json:"boundingBox,omitempty"`
// Text - The text content of the line.
Text *string `json:"text,omitempty"`
// Words - List of words in the text line.
Words *[]Word `json:"words,omitempty"`
}
// ListModelsResult result of the List Domain Models operation.
type ListModelsResult struct {
autorest.Response `json:"-"`
// ModelsProperty - READ-ONLY; An array of supported models.
ModelsProperty *[]ModelDescription `json:"models,omitempty"`
}
// ModelDescription an object describing supported model by name and categories.
type ModelDescription struct {
// Name - The name of the model.
Name *string `json:"name,omitempty"`
// Categories - Categories of the model.
Categories *[]string `json:"categories,omitempty"`
}
// ObjectHierarchy an object detected inside an image.
type ObjectHierarchy struct {
// Object - Label for the object.
Object *string `json:"object,omitempty"`
// Confidence - Confidence score of having observed the object in the image, as a value ranging from 0 to 1.
Confidence *float64 `json:"confidence,omitempty"`
// Parent - The parent object, from a taxonomy perspective.
// The parent object is a more generic form of this object. For example, a 'bulldog' would have a parent of 'dog'.
Parent *ObjectHierarchy `json:"parent,omitempty"`
}
// OcrLine an object describing a single recognized line of text.
type OcrLine struct {
// BoundingBox - Bounding box of a recognized line. The four integers represent the x-coordinate of the left edge, the y-coordinate of the top edge, width, and height of the bounding box, in the coordinate system of the input image, after it has been rotated around its center according to the detected text angle (see textAngle property), with the origin at the top-left corner, and the y-axis pointing down.
BoundingBox *string `json:"boundingBox,omitempty"`
// Words - An array of objects, where each object represents a recognized word.
Words *[]OcrWord `json:"words,omitempty"`
}
// OcrRegion a region consists of multiple lines (e.g. a column of text in a multi-column document).
type OcrRegion struct {
// BoundingBox - Bounding box of a recognized region. The four integers represent the x-coordinate of the left edge, the y-coordinate of the top edge, width, and height of the bounding box, in the coordinate system of the input image, after it has been rotated around its center according to the detected text angle (see textAngle property), with the origin at the top-left corner, and the y-axis pointing down.
BoundingBox *string `json:"boundingBox,omitempty"`
// Lines - An array of recognized lines of text.
Lines *[]OcrLine `json:"lines,omitempty"`
}
// OcrResult ...
type OcrResult struct {
autorest.Response `json:"-"`
// Language - The BCP-47 language code of the text in the image.
Language *string `json:"language,omitempty"`
// TextAngle - The angle, in radians, of the detected text with respect to the closest horizontal or vertical direction. After rotating the input image clockwise by this angle, the recognized text lines become horizontal or vertical. In combination with the orientation property it can be used to overlay recognition results correctly on the original image, by rotating either the original image or recognition results by a suitable angle around the center of the original image. If the angle cannot be confidently detected, this property is not present. If the image contains text at different angles, only part of the text will be recognized correctly.
TextAngle *float64 `json:"textAngle,omitempty"`
// Orientation - Orientation of the text recognized in the image, if requested. The value (up, down, left, or right) refers to the direction that the top of the recognized text is facing, after the image has been rotated around its center according to the detected text angle (see textAngle property).
// If detection of the orientation was not requested, or no text is detected, the value is 'NotDetected'.
Orientation *string `json:"orientation,omitempty"`
// Regions - An array of objects, where each object represents a region of recognized text.
Regions *[]OcrRegion `json:"regions,omitempty"`
}
// OcrWord information on a recognized word.
type OcrWord struct {
// BoundingBox - Bounding box of a recognized word. The four integers represent the x-coordinate of the left edge, the y-coordinate of the top edge, width, and height of the bounding box, in the coordinate system of the input image, after it has been rotated around its center according to the detected text angle (see textAngle property), with the origin at the top-left corner, and the y-axis pointing down.
BoundingBox *string `json:"boundingBox,omitempty"`
// Text - String value of a recognized word.
Text *string `json:"text,omitempty"`
}
// ReadCloser ...
type ReadCloser struct {
autorest.Response `json:"-"`
Value *io.ReadCloser `json:"value,omitempty"`
}
// ReadOperationResult OCR result of the read operation.
type ReadOperationResult struct {
autorest.Response `json:"-"`
// Status - Status of the read operation. Possible values include: 'NotStarted', 'Running', 'Failed', 'Succeeded'
Status OperationStatusCodes `json:"status,omitempty"`
// CreatedDateTime - Get UTC date time the batch operation was submitted.
CreatedDateTime *string `json:"createdDateTime,omitempty"`
// LastUpdatedDateTime - Get last updated UTC date time of this batch operation.
LastUpdatedDateTime *string `json:"lastUpdatedDateTime,omitempty"`
// AnalyzeResult - Analyze batch operation result.
AnalyzeResult *AnalyzeResults `json:"analyzeResult,omitempty"`
}
// ReadResult text extracted from a page in the input document.
type ReadResult struct {
// Page - The 1-based page number of the recognition result.
Page *int32 `json:"page,omitempty"`
// Language - The BCP-47 language code of the recognized text page.
Language *string `json:"language,omitempty"`
// Angle - The orientation of the image in degrees in the clockwise direction. Range between [-180, 180).
Angle *float64 `json:"angle,omitempty"`
// Width - The width of the image in pixels or the PDF in inches.
Width *float64 `json:"width,omitempty"`
// Height - The height of the image in pixels or the PDF in inches.
Height *float64 `json:"height,omitempty"`
// Unit - The unit used in the Width, Height and BoundingBox. For images, the unit is 'pixel'. For PDF, the unit is 'inch'. Possible values include: 'Pixel', 'Inch'
Unit TextRecognitionResultDimensionUnit `json:"unit,omitempty"`
// Lines - A list of recognized text lines.
Lines *[]Line `json:"lines,omitempty"`
}
// TagResult the results of a image tag operation, including any tags and image metadata.
type TagResult struct {
autorest.Response `json:"-"`
// Tags - A list of tags with confidence level.
Tags *[]ImageTag `json:"tags,omitempty"`
// RequestID - Id of the REST API request.
RequestID *string `json:"requestId,omitempty"`
Metadata *ImageMetadata `json:"metadata,omitempty"`
}
// Word an object representing a recognized word.
type Word struct {
// BoundingBox - Bounding box of a recognized word.
BoundingBox *[]float64 `json:"boundingBox,omitempty"`
// Text - The text content of the word.
Text *string `json:"text,omitempty"`
// Confidence - Qualitative confidence measure.
Confidence *float64 `json:"confidence,omitempty"`
}