C# Класс BuildIt.CognitiveServices.ComputerVisionAPIV10Extensions

Extension methods for ComputerVisionAPIV10.
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Открытые методы

Метод Описание
AnalyzeImage ( this operations, string visualFeatures = "Categories", string details = default(string), string language = "en", string subscriptionKey = default(string), string ocpApimSubscriptionKey = default(string) ) : void

This operation extracts a rich set of visual features based on the image content. <br> <br> Two input methods are supported -- (1) Uploading an image or (2) specifying an image URL. Within your request, there is an optional parameter to allow you to choose which features to return. By default, image categories are returned in the response. <br> <br> A successful response will be returned in JSON. If the request failed, the response will contain an error code and a message to help understand what went wrong. <h4>Http Method</h4> POST

AnalyzeImageAsync ( this operations, string visualFeatures = "Categories", string details = default(string), string language = "en", string subscriptionKey = default(string), string ocpApimSubscriptionKey = default(string), System cancellationToken = default(System.Threading.CancellationToken) ) : System.Threading.Tasks.Task

This operation extracts a rich set of visual features based on the image content. <br> <br> Two input methods are supported -- (1) Uploading an image or (2) specifying an image URL. Within your request, there is an optional parameter to allow you to choose which features to return. By default, image categories are returned in the response. <br> <br> A successful response will be returned in JSON. If the request failed, the response will contain an error code and a message to help understand what went wrong. <h4>Http Method</h4> POST

DescribeImage ( this operations, string maxCandidates = "1", string subscriptionKey = default(string), string ocpApimSubscriptionKey = default(string) ) : void

This operation generates a description of an image in human readable language with complete sentences. The description is based on a collection of content tags, which are also returned by the operation. More than one description can be generated for each image. Descriptions are ordered by their confidence score. All descriptions are in English. <br> <br> Two input methods are supported -- (1) Uploading an image or (2) specifying an image URL. <br> <br> A successful response will be returned in JSON. If the request failed, the response will contain an error code and a message to help understand what went wrong. <h4>Http Method</h4> POST

DescribeImageAsync ( this operations, string maxCandidates = "1", string subscriptionKey = default(string), string ocpApimSubscriptionKey = default(string), System cancellationToken = default(System.Threading.CancellationToken) ) : System.Threading.Tasks.Task

This operation generates a description of an image in human readable language with complete sentences. The description is based on a collection of content tags, which are also returned by the operation. More than one description can be generated for each image. Descriptions are ordered by their confidence score. All descriptions are in English. <br> <br> Two input methods are supported -- (1) Uploading an image or (2) specifying an image URL. <br> <br> A successful response will be returned in JSON. If the request failed, the response will contain an error code and a message to help understand what went wrong. <h4>Http Method</h4> POST

GetThumbnail ( this operations, double width, double height, bool smartCropping = true, string subscriptionKey = default(string), string ocpApimSubscriptionKey = default(string) ) : void

This operation generates a thumbnail image with the user-specified width and height. By default, the service analyzes the image, identifies the region of interest (ROI), and generates smart cropping coordinates based on the ROI. Smart cropping helps when you specify an aspect ratio that differs from that of the input image <p/> A successful response contains the thumbnail image binary. If the request failed, the response contains an error code and a message to help determine what went wrong. <p/> Upon failure, the error code and an error message are returned. The error code could be one of InvalidImageUrl, InvalidImageFormat, InvalidImageSize, InvalidThumbnailSize, NotSupportedImage, FailedToProcess, Timeout, or InternalServerError. <h4>Http Method</h4> POST

GetThumbnailAsync ( this operations, double width, double height, bool smartCropping = true, string subscriptionKey = default(string), string ocpApimSubscriptionKey = default(string), System cancellationToken = default(System.Threading.CancellationToken) ) : System.Threading.Tasks.Task

This operation generates a thumbnail image with the user-specified width and height. By default, the service analyzes the image, identifies the region of interest (ROI), and generates smart cropping coordinates based on the ROI. Smart cropping helps when you specify an aspect ratio that differs from that of the input image <p/> A successful response contains the thumbnail image binary. If the request failed, the response contains an error code and a message to help determine what went wrong. <p/> Upon failure, the error code and an error message are returned. The error code could be one of InvalidImageUrl, InvalidImageFormat, InvalidImageSize, InvalidThumbnailSize, NotSupportedImage, FailedToProcess, Timeout, or InternalServerError. <h4>Http Method</h4> POST

ListDomainSpecificModels ( this operations, string subscriptionKey = default(string), string ocpApimSubscriptionKey = default(string) ) : void

This operation returns the list of domain-specific models that are supported by the Computer Vision API. Currently, the API only supports one domain-specific model: a celebrity recognizer. <br> <br> A successful response will be returned in JSON. If the request failed, the response will contain an error code and a message to help understand what went wrong. <h4>Http Method</h4> GET

ListDomainSpecificModelsAsync ( this operations, string subscriptionKey = default(string), string ocpApimSubscriptionKey = default(string), System cancellationToken = default(System.Threading.CancellationToken) ) : System.Threading.Tasks.Task

This operation returns the list of domain-specific models that are supported by the Computer Vision API. Currently, the API only supports one domain-specific model: a celebrity recognizer. <br> <br> A successful response will be returned in JSON. If the request failed, the response will contain an error code and a message to help understand what went wrong. <h4>Http Method</h4> GET

OCR ( this operations, string language = "unk", bool detectOrientation = true, string subscriptionKey = default(string), string ocpApimSubscriptionKey = default(string) ) : void

Optical Character Recognition (OCR) detects text in an image and extracts the recognized characters into a machine-usable character stream. <p/> Upon success, the OCR results will be returned. <p/> Upon failure, the error code together with an error message will be returned. The error code can be one of InvalidImageUrl, InvalidImageFormat, InvalidImageSize, NotSupportedImage, NotSupportedLanguage, or InternalServerError. <h4>Http Method</h4> POST

OCRAsync ( this operations, string language = "unk", bool detectOrientation = true, string subscriptionKey = default(string), string ocpApimSubscriptionKey = default(string), System cancellationToken = default(System.Threading.CancellationToken) ) : System.Threading.Tasks.Task

Optical Character Recognition (OCR) detects text in an image and extracts the recognized characters into a machine-usable character stream. <p/> Upon success, the OCR results will be returned. <p/> Upon failure, the error code together with an error message will be returned. The error code can be one of InvalidImageUrl, InvalidImageFormat, InvalidImageSize, NotSupportedImage, NotSupportedLanguage, or InternalServerError. <h4>Http Method</h4> POST

RecognizeDomainSpecificContent ( this operations, string model, string subscriptionKey = default(string), string ocpApimSubscriptionKey = default(string) ) : void

This operation recognizes content within an image by applying a domain-specific model. The list of domain-specific models that are supported by the Computer Vision API can be retrieved using the /models GET request. Currently, the API only provides a single domain-specific model: celebrities. <br> <br> Two input methods are supported -- (1) Uploading an image or (2) specifying an image URL. <br> <br> A successful response will be returned in JSON. If the request failed, the response will contain an error code and a message to help understand what went wrong. <h4>Http Method</h4> POST

RecognizeDomainSpecificContentAsync ( this operations, string model, string subscriptionKey = default(string), string ocpApimSubscriptionKey = default(string), System cancellationToken = default(System.Threading.CancellationToken) ) : System.Threading.Tasks.Task

This operation recognizes content within an image by applying a domain-specific model. The list of domain-specific models that are supported by the Computer Vision API can be retrieved using the /models GET request. Currently, the API only provides a single domain-specific model: celebrities. <br> <br> Two input methods are supported -- (1) Uploading an image or (2) specifying an image URL. <br> <br> A successful response will be returned in JSON. If the request failed, the response will contain an error code and a message to help understand what went wrong. <h4>Http Method</h4> POST

TagImage ( this operations, string subscriptionKey = default(string), string ocpApimSubscriptionKey = default(string) ) : void

This operation generates a list of words, or tags, that are relevant to the content of the supplied image. The Computer Vision API can return tags based on objects, living beings, scenery or actions found in images. Unlike categories, tags are not organized according to a hierarchical classification system, but correspond to image content. Tags may contain hints to avoid ambiguity or provide context, for example the tag “cello” may be accompanied by the hint “musical instrument”. All tags are in English. <br> <br> Two input methods are supported -- (1) Uploading an image or (2) specifying an image URL. <br> <br> A successful response will be returned in JSON. If the request failed, the response will contain an error code and a message to help understand what went wrong. <h4>Http Method</h4> POST

TagImageAsync ( this operations, string subscriptionKey = default(string), string ocpApimSubscriptionKey = default(string), System cancellationToken = default(System.Threading.CancellationToken) ) : System.Threading.Tasks.Task

This operation generates a list of words, or tags, that are relevant to the content of the supplied image. The Computer Vision API can return tags based on objects, living beings, scenery or actions found in images. Unlike categories, tags are not organized according to a hierarchical classification system, but correspond to image content. Tags may contain hints to avoid ambiguity or provide context, for example the tag “cello” may be accompanied by the hint “musical instrument”. All tags are in English. <br> <br> Two input methods are supported -- (1) Uploading an image or (2) specifying an image URL. <br> <br> A successful response will be returned in JSON. If the request failed, the response will contain an error code and a message to help understand what went wrong. <h4>Http Method</h4> POST

Описание методов

AnalyzeImage() публичный статический Метод

This operation extracts a rich set of visual features based on the image content. <br> <br> Two input methods are supported -- (1) Uploading an image or (2) specifying an image URL. Within your request, there is an optional parameter to allow you to choose which features to return. By default, image categories are returned in the response. <br> <br> A successful response will be returned in JSON. If the request failed, the response will contain an error code and a message to help understand what went wrong. <h4>Http Method</h4> POST
public static AnalyzeImage ( this operations, string visualFeatures = "Categories", string details = default(string), string language = "en", string subscriptionKey = default(string), string ocpApimSubscriptionKey = default(string) ) : void
operations this /// The operations group for this extension method. ///
visualFeatures string /// A string indicating what visual feature types to return. Multiple values /// should be comma-separated. /// <br/>Valid visual feature types include: /// <br/> /// <ul> /// <li><b>Categories</b> - categorizes image content /// according to a taxonomy defined in documentation. </li> /// <li><b>Tags</b> - tags the image with a detailed list of /// words related to the image content. </li> /// <li><b>Description</b> - describes the image content /// with a complete English sentence. </li> /// <li><b>Faces</b> - detects if faces are present. If /// present, generate coordinates, gender and age.</li> /// <li><b >ImageType</b> - detects if image is clipart or a /// line drawing.</li> /// <li><b> Color</b> - determines the accent color, /// dominant color, and whether an image is black&white.</li> /// <li><b>Adult</b> - detects if the image is pornographic /// in nature (depicts nudity or a sex act). Sexually suggestive content is /// also detected.</li> /// </ul>. Possible values include: 'ImageType', 'Faces', 'Adult', /// 'Categories', 'Color', 'Tags', 'Description' ///
details string /// A string indicating which domain-specific details to return. Multiple /// values should be comma-separated. /// <br/>Valid visual feature types include: /// <br/> /// <ul> /// <li><b >Celebrities</b> - identifies celebrities if /// detected in the image.</li> /// </ul> /// . Possible values include: 'Celebrities' ///
language string /// A string indicating which language to return. The service will return /// recognition results in specified language. If this parameter is not /// specified, the default value is &quot;en&quot;.<br /> /// Supported languages: /// <ul> /// <li><b >en</b> - English, Default.</li> /// <li><b >zh</b> - Simplified Chinese.</li> /// </ul>. Possible values include: 'en', 'zh' ///
subscriptionKey string /// subscription key in url ///
ocpApimSubscriptionKey string /// subscription key in header ///
Результат void

AnalyzeImageAsync() публичный статический Метод

This operation extracts a rich set of visual features based on the image content. <br> <br> Two input methods are supported -- (1) Uploading an image or (2) specifying an image URL. Within your request, there is an optional parameter to allow you to choose which features to return. By default, image categories are returned in the response. <br> <br> A successful response will be returned in JSON. If the request failed, the response will contain an error code and a message to help understand what went wrong. <h4>Http Method</h4> POST
public static AnalyzeImageAsync ( this operations, string visualFeatures = "Categories", string details = default(string), string language = "en", string subscriptionKey = default(string), string ocpApimSubscriptionKey = default(string), System cancellationToken = default(System.Threading.CancellationToken) ) : System.Threading.Tasks.Task
operations this /// The operations group for this extension method. ///
visualFeatures string /// A string indicating what visual feature types to return. Multiple values /// should be comma-separated. /// <br/>Valid visual feature types include: /// <br/> /// <ul> /// <li><b>Categories</b> - categorizes image content /// according to a taxonomy defined in documentation. </li> /// <li><b>Tags</b> - tags the image with a detailed list of /// words related to the image content. </li> /// <li><b>Description</b> - describes the image content /// with a complete English sentence. </li> /// <li><b>Faces</b> - detects if faces are present. If /// present, generate coordinates, gender and age.</li> /// <li><b >ImageType</b> - detects if image is clipart or a /// line drawing.</li> /// <li><b> Color</b> - determines the accent color, /// dominant color, and whether an image is black&white.</li> /// <li><b>Adult</b> - detects if the image is pornographic /// in nature (depicts nudity or a sex act). Sexually suggestive content is /// also detected.</li> /// </ul>. Possible values include: 'ImageType', 'Faces', 'Adult', /// 'Categories', 'Color', 'Tags', 'Description' ///
details string /// A string indicating which domain-specific details to return. Multiple /// values should be comma-separated. /// <br/>Valid visual feature types include: /// <br/> /// <ul> /// <li><b >Celebrities</b> - identifies celebrities if /// detected in the image.</li> /// </ul> /// . Possible values include: 'Celebrities' ///
language string /// A string indicating which language to return. The service will return /// recognition results in specified language. If this parameter is not /// specified, the default value is &quot;en&quot;.<br /> /// Supported languages: /// <ul> /// <li><b >en</b> - English, Default.</li> /// <li><b >zh</b> - Simplified Chinese.</li> /// </ul>. Possible values include: 'en', 'zh' ///
subscriptionKey string /// subscription key in url ///
ocpApimSubscriptionKey string /// subscription key in header ///
cancellationToken System /// The cancellation token. ///
Результат System.Threading.Tasks.Task

DescribeImage() публичный статический Метод

This operation generates a description of an image in human readable language with complete sentences. The description is based on a collection of content tags, which are also returned by the operation. More than one description can be generated for each image. Descriptions are ordered by their confidence score. All descriptions are in English. <br> <br> Two input methods are supported -- (1) Uploading an image or (2) specifying an image URL. <br> <br> A successful response will be returned in JSON. If the request failed, the response will contain an error code and a message to help understand what went wrong. <h4>Http Method</h4> POST
public static DescribeImage ( this operations, string maxCandidates = "1", string subscriptionKey = default(string), string ocpApimSubscriptionKey = default(string) ) : void
operations this /// The operations group for this extension method. ///
maxCandidates string /// Maximum number of candidate descriptions to be returned. The default is /// 1. Possible values include: '1' ///
subscriptionKey string /// subscription key in url ///
ocpApimSubscriptionKey string /// subscription key in header ///
Результат void

DescribeImageAsync() публичный статический Метод

This operation generates a description of an image in human readable language with complete sentences. The description is based on a collection of content tags, which are also returned by the operation. More than one description can be generated for each image. Descriptions are ordered by their confidence score. All descriptions are in English. <br> <br> Two input methods are supported -- (1) Uploading an image or (2) specifying an image URL. <br> <br> A successful response will be returned in JSON. If the request failed, the response will contain an error code and a message to help understand what went wrong. <h4>Http Method</h4> POST
public static DescribeImageAsync ( this operations, string maxCandidates = "1", string subscriptionKey = default(string), string ocpApimSubscriptionKey = default(string), System cancellationToken = default(System.Threading.CancellationToken) ) : System.Threading.Tasks.Task
operations this /// The operations group for this extension method. ///
maxCandidates string /// Maximum number of candidate descriptions to be returned. The default is /// 1. Possible values include: '1' ///
subscriptionKey string /// subscription key in url ///
ocpApimSubscriptionKey string /// subscription key in header ///
cancellationToken System /// The cancellation token. ///
Результат System.Threading.Tasks.Task

GetThumbnail() публичный статический Метод

This operation generates a thumbnail image with the user-specified width and height. By default, the service analyzes the image, identifies the region of interest (ROI), and generates smart cropping coordinates based on the ROI. Smart cropping helps when you specify an aspect ratio that differs from that of the input image <p/> A successful response contains the thumbnail image binary. If the request failed, the response contains an error code and a message to help determine what went wrong. <p/> Upon failure, the error code and an error message are returned. The error code could be one of InvalidImageUrl, InvalidImageFormat, InvalidImageSize, InvalidThumbnailSize, NotSupportedImage, FailedToProcess, Timeout, or InternalServerError. <h4>Http Method</h4> POST
public static GetThumbnail ( this operations, double width, double height, bool smartCropping = true, string subscriptionKey = default(string), string ocpApimSubscriptionKey = default(string) ) : void
operations this /// The operations group for this extension method. ///
width double /// Width of the thumbnail. It must be between 1 and 1024. Recommended /// minimum of 50. ///
height double /// Height of the thumbnail. It must be between 1 and 1024. Recommended /// minimum of 50. ///
smartCropping bool /// Boolean flag for enabling smart cropping. ///
subscriptionKey string /// subscription key in url ///
ocpApimSubscriptionKey string /// subscription key in header ///
Результат void

GetThumbnailAsync() публичный статический Метод

This operation generates a thumbnail image with the user-specified width and height. By default, the service analyzes the image, identifies the region of interest (ROI), and generates smart cropping coordinates based on the ROI. Smart cropping helps when you specify an aspect ratio that differs from that of the input image <p/> A successful response contains the thumbnail image binary. If the request failed, the response contains an error code and a message to help determine what went wrong. <p/> Upon failure, the error code and an error message are returned. The error code could be one of InvalidImageUrl, InvalidImageFormat, InvalidImageSize, InvalidThumbnailSize, NotSupportedImage, FailedToProcess, Timeout, or InternalServerError. <h4>Http Method</h4> POST
public static GetThumbnailAsync ( this operations, double width, double height, bool smartCropping = true, string subscriptionKey = default(string), string ocpApimSubscriptionKey = default(string), System cancellationToken = default(System.Threading.CancellationToken) ) : System.Threading.Tasks.Task
operations this /// The operations group for this extension method. ///
width double /// Width of the thumbnail. It must be between 1 and 1024. Recommended /// minimum of 50. ///
height double /// Height of the thumbnail. It must be between 1 and 1024. Recommended /// minimum of 50. ///
smartCropping bool /// Boolean flag for enabling smart cropping. ///
subscriptionKey string /// subscription key in url ///
ocpApimSubscriptionKey string /// subscription key in header ///
cancellationToken System /// The cancellation token. ///
Результат System.Threading.Tasks.Task

ListDomainSpecificModels() публичный статический Метод

This operation returns the list of domain-specific models that are supported by the Computer Vision API. Currently, the API only supports one domain-specific model: a celebrity recognizer. <br> <br> A successful response will be returned in JSON. If the request failed, the response will contain an error code and a message to help understand what went wrong. <h4>Http Method</h4> GET
public static ListDomainSpecificModels ( this operations, string subscriptionKey = default(string), string ocpApimSubscriptionKey = default(string) ) : void
operations this /// The operations group for this extension method. ///
subscriptionKey string /// subscription key in url ///
ocpApimSubscriptionKey string /// subscription key in header ///
Результат void

ListDomainSpecificModelsAsync() публичный статический Метод

This operation returns the list of domain-specific models that are supported by the Computer Vision API. Currently, the API only supports one domain-specific model: a celebrity recognizer. <br> <br> A successful response will be returned in JSON. If the request failed, the response will contain an error code and a message to help understand what went wrong. <h4>Http Method</h4> GET
public static ListDomainSpecificModelsAsync ( this operations, string subscriptionKey = default(string), string ocpApimSubscriptionKey = default(string), System cancellationToken = default(System.Threading.CancellationToken) ) : System.Threading.Tasks.Task
operations this /// The operations group for this extension method. ///
subscriptionKey string /// subscription key in url ///
ocpApimSubscriptionKey string /// subscription key in header ///
cancellationToken System /// The cancellation token. ///
Результат System.Threading.Tasks.Task

OCR() публичный статический Метод

Optical Character Recognition (OCR) detects text in an image and extracts the recognized characters into a machine-usable character stream. <p/> Upon success, the OCR results will be returned. <p/> Upon failure, the error code together with an error message will be returned. The error code can be one of InvalidImageUrl, InvalidImageFormat, InvalidImageSize, NotSupportedImage, NotSupportedLanguage, or InternalServerError. <h4>Http Method</h4> POST
public static OCR ( this operations, string language = "unk", bool detectOrientation = true, string subscriptionKey = default(string), string ocpApimSubscriptionKey = default(string) ) : void
operations this /// The operations group for this extension method. ///
language string /// The BCP-47 language code of the text to be detected in the image.The /// default value is &quot;unk&quot;, then the service will auto /// detect the language of the text in the image.<br /> /// <br /> /// Supported languages: /// <ul style="margin-left:.375in;direction:ltr;unicode-bidi:embed; /// margin-top:0in;margin-bottom:0in" type="disc"> /// <li>unk (AutoDetect)</li> /// <li>zh-Hans (ChineseSimplified)</li> /// <li>zh-Hant (ChineseTraditional)</li> /// <li>cs (Czech)</li> /// <li>da (Danish)</li> /// <li>nl (Dutch)</li> /// <li>en (English)</li> /// <li>fi (Finnish)</li> /// <li>fr (French)</li> /// <li>de (German)</li> /// <li>el (Greek)</li> /// <li>hu (Hungarian)</li> /// <li>it (Italian)</li> /// <li>Ja (Japanese)</li> /// <li>ko (Korean)</li> /// <li>nb (Norwegian)</li> /// <li>pl (Polish)</li> /// <li>pt (Portuguese,</li> /// <li>ru (Russian)</li> /// <li>es (Spanish)</li> /// <li>sv (Swedish)</li> /// <li>tr (Turkish)</li> /// </ul>. Possible values include: 'unk', 'zh-Hans', ' zh-Hant', /// 'cs', 'da', 'nl', 'en', 'fi', 'fr', 'de', 'el', 'hu', 'it', 'ja', 'ko', /// 'nb', 'pl', 'pt', 'ru', 'es', 'sv', 'tr' ///
detectOrientation bool /// Whether detect the text orientation in the image. With /// detectOrientation=true the OCR service tries to detect the image /// orientation and correct it before further processing (e.g. if it's /// upside-down). ///
subscriptionKey string /// subscription key in url ///
ocpApimSubscriptionKey string /// subscription key in header ///
Результат void

OCRAsync() публичный статический Метод

Optical Character Recognition (OCR) detects text in an image and extracts the recognized characters into a machine-usable character stream. <p/> Upon success, the OCR results will be returned. <p/> Upon failure, the error code together with an error message will be returned. The error code can be one of InvalidImageUrl, InvalidImageFormat, InvalidImageSize, NotSupportedImage, NotSupportedLanguage, or InternalServerError. <h4>Http Method</h4> POST
public static OCRAsync ( this operations, string language = "unk", bool detectOrientation = true, string subscriptionKey = default(string), string ocpApimSubscriptionKey = default(string), System cancellationToken = default(System.Threading.CancellationToken) ) : System.Threading.Tasks.Task
operations this /// The operations group for this extension method. ///
language string /// The BCP-47 language code of the text to be detected in the image.The /// default value is &quot;unk&quot;, then the service will auto /// detect the language of the text in the image.<br /> /// <br /> /// Supported languages: /// <ul style="margin-left:.375in;direction:ltr;unicode-bidi:embed; /// margin-top:0in;margin-bottom:0in" type="disc"> /// <li>unk (AutoDetect)</li> /// <li>zh-Hans (ChineseSimplified)</li> /// <li>zh-Hant (ChineseTraditional)</li> /// <li>cs (Czech)</li> /// <li>da (Danish)</li> /// <li>nl (Dutch)</li> /// <li>en (English)</li> /// <li>fi (Finnish)</li> /// <li>fr (French)</li> /// <li>de (German)</li> /// <li>el (Greek)</li> /// <li>hu (Hungarian)</li> /// <li>it (Italian)</li> /// <li>Ja (Japanese)</li> /// <li>ko (Korean)</li> /// <li>nb (Norwegian)</li> /// <li>pl (Polish)</li> /// <li>pt (Portuguese,</li> /// <li>ru (Russian)</li> /// <li>es (Spanish)</li> /// <li>sv (Swedish)</li> /// <li>tr (Turkish)</li> /// </ul>. Possible values include: 'unk', 'zh-Hans', ' zh-Hant', /// 'cs', 'da', 'nl', 'en', 'fi', 'fr', 'de', 'el', 'hu', 'it', 'ja', 'ko', /// 'nb', 'pl', 'pt', 'ru', 'es', 'sv', 'tr' ///
detectOrientation bool /// Whether detect the text orientation in the image. With /// detectOrientation=true the OCR service tries to detect the image /// orientation and correct it before further processing (e.g. if it's /// upside-down). ///
subscriptionKey string /// subscription key in url ///
ocpApimSubscriptionKey string /// subscription key in header ///
cancellationToken System /// The cancellation token. ///
Результат System.Threading.Tasks.Task

RecognizeDomainSpecificContent() публичный статический Метод

This operation recognizes content within an image by applying a domain-specific model. The list of domain-specific models that are supported by the Computer Vision API can be retrieved using the /models GET request. Currently, the API only provides a single domain-specific model: celebrities. <br> <br> Two input methods are supported -- (1) Uploading an image or (2) specifying an image URL. <br> <br> A successful response will be returned in JSON. If the request failed, the response will contain an error code and a message to help understand what went wrong. <h4>Http Method</h4> POST
public static RecognizeDomainSpecificContent ( this operations, string model, string subscriptionKey = default(string), string ocpApimSubscriptionKey = default(string) ) : void
operations this /// The operations group for this extension method. ///
model string /// The domain-specific content to recognize. ///
subscriptionKey string /// subscription key in url ///
ocpApimSubscriptionKey string /// subscription key in header ///
Результат void

RecognizeDomainSpecificContentAsync() публичный статический Метод

This operation recognizes content within an image by applying a domain-specific model. The list of domain-specific models that are supported by the Computer Vision API can be retrieved using the /models GET request. Currently, the API only provides a single domain-specific model: celebrities. <br> <br> Two input methods are supported -- (1) Uploading an image or (2) specifying an image URL. <br> <br> A successful response will be returned in JSON. If the request failed, the response will contain an error code and a message to help understand what went wrong. <h4>Http Method</h4> POST
public static RecognizeDomainSpecificContentAsync ( this operations, string model, string subscriptionKey = default(string), string ocpApimSubscriptionKey = default(string), System cancellationToken = default(System.Threading.CancellationToken) ) : System.Threading.Tasks.Task
operations this /// The operations group for this extension method. ///
model string /// The domain-specific content to recognize. ///
subscriptionKey string /// subscription key in url ///
ocpApimSubscriptionKey string /// subscription key in header ///
cancellationToken System /// The cancellation token. ///
Результат System.Threading.Tasks.Task

TagImage() публичный статический Метод

This operation generates a list of words, or tags, that are relevant to the content of the supplied image. The Computer Vision API can return tags based on objects, living beings, scenery or actions found in images. Unlike categories, tags are not organized according to a hierarchical classification system, but correspond to image content. Tags may contain hints to avoid ambiguity or provide context, for example the tag “cello” may be accompanied by the hint “musical instrument”. All tags are in English. <br> <br> Two input methods are supported -- (1) Uploading an image or (2) specifying an image URL. <br> <br> A successful response will be returned in JSON. If the request failed, the response will contain an error code and a message to help understand what went wrong. <h4>Http Method</h4> POST
public static TagImage ( this operations, string subscriptionKey = default(string), string ocpApimSubscriptionKey = default(string) ) : void
operations this /// The operations group for this extension method. ///
subscriptionKey string /// subscription key in url ///
ocpApimSubscriptionKey string /// subscription key in header ///
Результат void

TagImageAsync() публичный статический Метод

This operation generates a list of words, or tags, that are relevant to the content of the supplied image. The Computer Vision API can return tags based on objects, living beings, scenery or actions found in images. Unlike categories, tags are not organized according to a hierarchical classification system, but correspond to image content. Tags may contain hints to avoid ambiguity or provide context, for example the tag “cello” may be accompanied by the hint “musical instrument”. All tags are in English. <br> <br> Two input methods are supported -- (1) Uploading an image or (2) specifying an image URL. <br> <br> A successful response will be returned in JSON. If the request failed, the response will contain an error code and a message to help understand what went wrong. <h4>Http Method</h4> POST
public static TagImageAsync ( this operations, string subscriptionKey = default(string), string ocpApimSubscriptionKey = default(string), System cancellationToken = default(System.Threading.CancellationToken) ) : System.Threading.Tasks.Task
operations this /// The operations group for this extension method. ///
subscriptionKey string /// subscription key in url ///
ocpApimSubscriptionKey string /// subscription key in header ///
cancellationToken System /// The cancellation token. ///
Результат System.Threading.Tasks.Task