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ComputerVisionClientOperationsMixin Class

  • Reference
Inheritance
builtins.object
ComputerVisionClientOperationsMixin

Constructor

ComputerVisionClientOperationsMixin()

Methods

analyze_image

This operation extracts a rich set of visual features based on the image content. 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. 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.
analyze_image_by_domain

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 provides following domain-specific models: celebrities, landmarks. Two input methods are supported – (1) Uploading an image or (2) specifying an image URL. 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.
analyze_image_by_domain_in_stream

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 provides following domain-specific models: celebrities, landmarks. Two input methods are supported – (1) Uploading an image or (2) specifying an image URL. 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.
analyze_image_in_stream

This operation extracts a rich set of visual features based on the image content. 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. 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.
describe_image

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. Descriptions may include results from celebrity and landmark domain models, if applicable. Two input methods are supported – (1) Uploading an image or (2) specifying an image URL. 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.
describe_image_in_stream

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. Descriptions may include results from celebrity and landmark domain models, if applicable. Two input methods are supported – (1) Uploading an image or (2) specifying an image URL. 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.
detect_objects

Performs object detection on the specified image. Two input methods are supported – (1) Uploading an image or (2) specifying an image URL. 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.
detect_objects_in_stream

Performs object detection on the specified image. Two input methods are supported – (1) Uploading an image or (2) specifying an image URL. 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.
generate_thumbnail

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. 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. 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.
generate_thumbnail_in_stream

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. 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. 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.
get_area_of_interest

This operation returns a bounding box around the most important area of the image. A successful response will be returned in JSON. If the request failed, the response contains an error code and a message to help determine what went wrong. Upon failure, the error code and an error message are returned. The error code could be one of InvalidImageUrl, InvalidImageFormat, InvalidImageSize, NotSupportedImage, FailedToProcess, Timeout, or InternalServerError.
get_area_of_interest_in_stream

This operation returns a bounding box around the most important area of the image. A successful response will be returned in JSON. If the request failed, the response contains an error code and a message to help determine what went wrong. Upon failure, the error code and an error message are returned. The error code could be one of InvalidImageUrl, InvalidImageFormat, InvalidImageSize, NotSupportedImage, FailedToProcess, Timeout, or InternalServerError.
get_read_result

This interface is used for getting OCR results of Read operation. The URL to this interface should be retrieved from 'Operation-Location' field returned from Read interface.
list_models

This operation returns the list of domain-specific models that are supported by the Computer Vision API. Currently, the API supports following domain-specific models: celebrity recognizer, landmark recognizer. 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.
read

Use this interface to get the result of a Read operation, employing the state-of-the-art Optical Character Recognition (OCR) algorithms optimized for text-heavy documents. When you use the Read interface, the response contains a field called 'Operation-Location'. The 'Operation-Location' field contains the URL that you must use for your 'GetReadResult' operation to access OCR results.​.
read_in_stream

Use this interface to get the result of a Read operation, employing the state-of-the-art Optical Character Recognition (OCR) algorithms optimized for text-heavy documents. When you use the Read interface, the response contains a field called 'Operation-Location'. The 'Operation-Location' field contains the URL that you must use for your 'GetReadResult' operation to access OCR results.​.
recognize_printed_text

Optical Character Recognition (OCR) detects text in an image and extracts the recognized characters into a machine-usable character stream. Upon success, the OCR results will be returned. 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.
recognize_printed_text_in_stream

Optical Character Recognition (OCR) detects text in an image and extracts the recognized characters into a machine-usable character stream. Upon success, the OCR results will be returned. 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.
tag_image

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 "ascomycete" may be accompanied by the hint "fungus". Two input methods are supported – (1) Uploading an image or (2) specifying an image URL. 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.
tag_image_in_stream

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 "ascomycete" may be accompanied by the hint "fungus". Two input methods are supported – (1) Uploading an image or (2) specifying an image URL. 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.

analyze_image

This operation extracts a rich set of visual features based on the image content. 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. 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.

analyze_image(url, visual_features=None, details=None, language='en', description_exclude=None, model_version='latest', custom_headers=None, raw=False, **operation_config)

Parameters

Name Description
url
Required
str

Publicly reachable URL of an image.
visual_features
list[str or VisualFeatureTypes]

A string indicating what visual feature types to return. Multiple values should be comma-separated. Valid visual feature types include: Categories - categorizes image content according to a taxonomy defined in documentation. Tags - tags the image with a detailed list of words related to the image content. Description - describes the image content with a complete English sentence. Faces - detects if faces are present. If present, generate coordinates, gender and age. ImageType - detects if image is clipart or a line drawing. Color - determines the accent color, dominant color, and whether an image is black&white. Adult - detects if the image is pornographic in nature (depicts nudity or a sex act), or is gory (depicts extreme violence or blood). Sexually suggestive content (aka racy content) is also detected. Objects - detects various objects within an image, including the approximate location. The Objects argument is only available in English. Brands - detects various brands within an image, including the approximate location. The Brands argument is only available in English.

Default value: None
details
list[str or Details]

A string indicating which domain-specific details to return. Multiple values should be comma-separated. Valid visual feature types include: Celebrities - identifies celebrities if detected in the image, Landmarks - identifies notable landmarks in the image.

Default value: None
language
str

The desired language for output generation. If this parameter is not specified, the default value is "en".Supported languages:en - English, Default. es - Spanish, ja - Japanese, pt - Portuguese, zh - Simplified Chinese. Possible values include: 'en', 'es', 'ja', 'pt', 'zh'

Default value: en
description_exclude
list[str or DescriptionExclude]

Turn off specified domain models when generating the description.

Default value: None
model_version
str

Optional parameter to specify the version of the AI model. Accepted values are: "latest", "2021-04-01". Defaults to "latest".

Default value: latest
custom_headers
dict

headers that will be added to the request

Default value: None
raw
bool

returns the direct response alongside the deserialized response

Default value: False
operation_config
Required

Operation configuration overrides.

Returns

Type Description
ImageAnalysis,
<xref:msrest.pipeline.ClientRawResponse>

ImageAnalysis or ClientRawResponse if raw=true

Exceptions

Type Description
ComputerVisionErrorResponseException

analyze_image_by_domain

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 provides following domain-specific models: celebrities, landmarks. Two input methods are supported – (1) Uploading an image or (2) specifying an image URL. 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.

analyze_image_by_domain(model, url, language='en', model_version='latest', custom_headers=None, raw=False, **operation_config)

Parameters

Name Description
model
Required
str

The domain-specific content to recognize.
url
Required
str

Publicly reachable URL of an image.
language
str

The desired language for output generation. If this parameter is not specified, the default value is "en".Supported languages:en - English, Default. es - Spanish, ja - Japanese, pt - Portuguese, zh - Simplified Chinese. Possible values include: 'en', 'es', 'ja', 'pt', 'zh'

Default value: en
model_version
str

Optional parameter to specify the version of the AI model. Accepted values are: "latest", "2021-04-01". Defaults to "latest".

Default value: latest
custom_headers
dict

headers that will be added to the request

Default value: None
raw
bool

returns the direct response alongside the deserialized response

Default value: False
operation_config
Required

Operation configuration overrides.

Returns

Type Description
DomainModelResults,
<xref:msrest.pipeline.ClientRawResponse>

DomainModelResults or ClientRawResponse if raw=true

Exceptions

Type Description
ComputerVisionErrorResponseException

analyze_image_by_domain_in_stream

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 provides following domain-specific models: celebrities, landmarks. Two input methods are supported – (1) Uploading an image or (2) specifying an image URL. 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.

analyze_image_by_domain_in_stream(model, image, language='en', model_version='latest', custom_headers=None, raw=False, callback=None, **operation_config)

Parameters

Name Description
model
Required
str

The domain-specific content to recognize.
image
Required
Generator

An image stream.
language
str

The desired language for output generation. If this parameter is not specified, the default value is "en".Supported languages:en - English, Default. es - Spanish, ja - Japanese, pt - Portuguese, zh - Simplified Chinese. Possible values include: 'en', 'es', 'ja', 'pt', 'zh'

Default value: en
model_version
str

Optional parameter to specify the version of the AI model. Accepted values are: "latest", "2021-04-01". Defaults to "latest".

Default value: latest
custom_headers
dict

headers that will be added to the request

Default value: None
raw
bool

returns the direct response alongside the deserialized response

Default value: False
callback
Callable[<xref:Bytes>, <xref:response=None>]

When specified, will be called with each chunk of data that is streamed. The callback should take two arguments, the bytes of the current chunk of data and the response object. If the data is uploading, response will be None.

Default value: None
operation_config
Required

Operation configuration overrides.

Returns

Type Description
DomainModelResults,
<xref:msrest.pipeline.ClientRawResponse>

DomainModelResults or ClientRawResponse if raw=true

Exceptions

Type Description
ComputerVisionErrorResponseException

analyze_image_in_stream

This operation extracts a rich set of visual features based on the image content. 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. 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.

analyze_image_in_stream(image, visual_features=None, details=None, language='en', description_exclude=None, model_version='latest', custom_headers=None, raw=False, callback=None, **operation_config)

Parameters

Name Description
image
Required
Generator

An image stream.
visual_features
list[str or VisualFeatureTypes]

A string indicating what visual feature types to return. Multiple values should be comma-separated. Valid visual feature types include: Categories - categorizes image content according to a taxonomy defined in documentation. Tags - tags the image with a detailed list of words related to the image content. Description - describes the image content with a complete English sentence. Faces - detects if faces are present. If present, generate coordinates, gender and age. ImageType - detects if image is clipart or a line drawing. Color - determines the accent color, dominant color, and whether an image is black&white. Adult - detects if the image is pornographic in nature (depicts nudity or a sex act), or is gory (depicts extreme violence or blood). Sexually suggestive content (aka racy content) is also detected. Objects - detects various objects within an image, including the approximate location. The Objects argument is only available in English. Brands - detects various brands within an image, including the approximate location. The Brands argument is only available in English.

Default value: None
details
list[str or Details]

A string indicating which domain-specific details to return. Multiple values should be comma-separated. Valid visual feature types include: Celebrities - identifies celebrities if detected in the image, Landmarks - identifies notable landmarks in the image.

Default value: None
language
str

The desired language for output generation. If this parameter is not specified, the default value is "en".Supported languages:en - English, Default. es - Spanish, ja - Japanese, pt - Portuguese, zh - Simplified Chinese. Possible values include: 'en', 'es', 'ja', 'pt', 'zh'

Default value: en
description_exclude
list[str or DescriptionExclude]

Turn off specified domain models when generating the description.

Default value: None
model_version
str

Optional parameter to specify the version of the AI model. Accepted values are: "latest", "2021-04-01". Defaults to "latest".

Default value: latest
custom_headers
dict

headers that will be added to the request

Default value: None
raw
bool

returns the direct response alongside the deserialized response

Default value: False
callback
Callable[<xref:Bytes>, <xref:response=None>]

When specified, will be called with each chunk of data that is streamed. The callback should take two arguments, the bytes of the current chunk of data and the response object. If the data is uploading, response will be None.

Default value: None
operation_config
Required

Operation configuration overrides.

Returns

Type Description
ImageAnalysis,
<xref:msrest.pipeline.ClientRawResponse>

ImageAnalysis or ClientRawResponse if raw=true

Exceptions

Type Description
ComputerVisionErrorResponseException

describe_image

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. Descriptions may include results from celebrity and landmark domain models, if applicable. Two input methods are supported – (1) Uploading an image or (2) specifying an image URL. 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.

describe_image(url, max_candidates=1, language='en', description_exclude=None, model_version='latest', custom_headers=None, raw=False, **operation_config)

Parameters

Name Description
url
Required
str

Publicly reachable URL of an image.
max_candidates
int

Maximum number of candidate descriptions to be returned. The default is 1.

Default value: 1
language
str

The desired language for output generation. If this parameter is not specified, the default value is "en".Supported languages:en - English, Default. es - Spanish, ja - Japanese, pt - Portuguese, zh - Simplified Chinese. Possible values include: 'en', 'es', 'ja', 'pt', 'zh'

Default value: en
description_exclude
list[str or DescriptionExclude]

Turn off specified domain models when generating the description.

Default value: None
model_version
str

Optional parameter to specify the version of the AI model. Accepted values are: "latest", "2021-04-01". Defaults to "latest".

Default value: latest
custom_headers
dict

headers that will be added to the request

Default value: None
raw
bool

returns the direct response alongside the deserialized response

Default value: False
operation_config
Required

Operation configuration overrides.

Returns

Type Description
ImageDescription,
<xref:msrest.pipeline.ClientRawResponse>

ImageDescription or ClientRawResponse if raw=true

Exceptions

Type Description
ComputerVisionErrorResponseException

describe_image_in_stream

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. Descriptions may include results from celebrity and landmark domain models, if applicable. Two input methods are supported – (1) Uploading an image or (2) specifying an image URL. 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.

describe_image_in_stream(image, max_candidates=1, language='en', description_exclude=None, model_version='latest', custom_headers=None, raw=False, callback=None, **operation_config)

Parameters

Name Description
image
Required
Generator

An image stream.
max_candidates
int

Maximum number of candidate descriptions to be returned. The default is 1.

Default value: 1
language
str

The desired language for output generation. If this parameter is not specified, the default value is "en".Supported languages:en - English, Default. es - Spanish, ja - Japanese, pt - Portuguese, zh - Simplified Chinese. Possible values include: 'en', 'es', 'ja', 'pt', 'zh'

Default value: en
description_exclude
list[str or DescriptionExclude]

Turn off specified domain models when generating the description.

Default value: None
model_version
str

Optional parameter to specify the version of the AI model. Accepted values are: "latest", "2021-04-01". Defaults to "latest".

Default value: latest
custom_headers
dict

headers that will be added to the request

Default value: None
raw
bool

returns the direct response alongside the deserialized response

Default value: False
callback
Callable[<xref:Bytes>, <xref:response=None>]

When specified, will be called with each chunk of data that is streamed. The callback should take two arguments, the bytes of the current chunk of data and the response object. If the data is uploading, response will be None.

Default value: None
operation_config
Required

Operation configuration overrides.

Returns

Type Description
ImageDescription,
<xref:msrest.pipeline.ClientRawResponse>

ImageDescription or ClientRawResponse if raw=true

Exceptions

Type Description
ComputerVisionErrorResponseException

detect_objects

Performs object detection on the specified image. Two input methods are supported – (1) Uploading an image or (2) specifying an image URL. 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.

detect_objects(url, model_version='latest', custom_headers=None, raw=False, **operation_config)

Parameters

Name Description
url
Required
str

Publicly reachable URL of an image.
model_version
str

Optional parameter to specify the version of the AI model. Accepted values are: "latest", "2021-04-01". Defaults to "latest".

Default value: latest
custom_headers
dict

headers that will be added to the request

Default value: None
raw
bool

returns the direct response alongside the deserialized response

Default value: False
operation_config
Required

Operation configuration overrides.

Returns

Type Description
DetectResult,
<xref:msrest.pipeline.ClientRawResponse>

DetectResult or ClientRawResponse if raw=true

Exceptions

Type Description
ComputerVisionErrorResponseException

detect_objects_in_stream

Performs object detection on the specified image. Two input methods are supported – (1) Uploading an image or (2) specifying an image URL. 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.

detect_objects_in_stream(image, model_version='latest', custom_headers=None, raw=False, callback=None, **operation_config)

Parameters

Name Description
image
Required
Generator

An image stream.
model_version
str

Optional parameter to specify the version of the AI model. Accepted values are: "latest", "2021-04-01". Defaults to "latest".

Default value: latest
custom_headers
dict

headers that will be added to the request

Default value: None
raw
bool

returns the direct response alongside the deserialized response

Default value: False
callback
Callable[<xref:Bytes>, <xref:response=None>]

When specified, will be called with each chunk of data that is streamed. The callback should take two arguments, the bytes of the current chunk of data and the response object. If the data is uploading, response will be None.

Default value: None
operation_config
Required

Operation configuration overrides.

Returns

Type Description
DetectResult,
<xref:msrest.pipeline.ClientRawResponse>

DetectResult or ClientRawResponse if raw=true

Exceptions

Type Description
ComputerVisionErrorResponseException

generate_thumbnail

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. 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. 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.

generate_thumbnail(width, height, url, smart_cropping=False, model_version='latest', custom_headers=None, raw=False, callback=None, **operation_config)

Parameters

Name Description
width
Required
int

Width of the thumbnail, in pixels. It must be between 1 and 1024. Recommended minimum of 50.
height
Required
int

Height of the thumbnail, in pixels. It must be between 1 and 1024. Recommended minimum of 50.
url
Required
str

Publicly reachable URL of an image.
smart_cropping
bool

Boolean flag for enabling smart cropping.

Default value: False
model_version
str

Optional parameter to specify the version of the AI model. Accepted values are: "latest", "2021-04-01". Defaults to "latest".

Default value: latest
custom_headers
dict

headers that will be added to the request

Default value: None
raw
bool

returns the direct response alongside the deserialized response

Default value: False
callback
Callable[<xref:Bytes>, <xref:response=None>]

When specified, will be called with each chunk of data that is streamed. The callback should take two arguments, the bytes of the current chunk of data and the response object. If the data is uploading, response will be None.

Default value: None
operation_config
Required

Operation configuration overrides.

Returns

Type Description
Generator,
<xref:msrest.pipeline.ClientRawResponse>

object or ClientRawResponse if raw=true

Exceptions

Type Description
msrest.exceptions.HttpOperationError

generate_thumbnail_in_stream

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. 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. 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.

generate_thumbnail_in_stream(width, height, image, smart_cropping=False, model_version='latest', custom_headers=None, raw=False, callback=None, **operation_config)

Parameters

Name Description
width
Required
int

Width of the thumbnail, in pixels. It must be between 1 and 1024. Recommended minimum of 50.
height
Required
int

Height of the thumbnail, in pixels. It must be between 1 and 1024. Recommended minimum of 50.
image
Required
Generator

An image stream.
smart_cropping
bool

Boolean flag for enabling smart cropping.

Default value: False
model_version
str

Optional parameter to specify the version of the AI model. Accepted values are: "latest", "2021-04-01". Defaults to "latest".

Default value: latest
custom_headers
dict

headers that will be added to the request

Default value: None
raw
bool

returns the direct response alongside the deserialized response

Default value: False
callback
Callable[<xref:Bytes>, <xref:response=None>]

When specified, will be called with each chunk of data that is streamed. The callback should take two arguments, the bytes of the current chunk of data and the response object. If the data is uploading, response will be None.

Default value: None
operation_config
Required

Operation configuration overrides.

Returns

Type Description
Generator,
<xref:msrest.pipeline.ClientRawResponse>

object or ClientRawResponse if raw=true

Exceptions

Type Description
msrest.exceptions.HttpOperationError

get_area_of_interest

This operation returns a bounding box around the most important area of the image. A successful response will be returned in JSON. If the request failed, the response contains an error code and a message to help determine what went wrong. Upon failure, the error code and an error message are returned. The error code could be one of InvalidImageUrl, InvalidImageFormat, InvalidImageSize, NotSupportedImage, FailedToProcess, Timeout, or InternalServerError.

get_area_of_interest(url, model_version='latest', custom_headers=None, raw=False, **operation_config)

Parameters

Name Description
url
Required
str

Publicly reachable URL of an image.
model_version
str

Optional parameter to specify the version of the AI model. Accepted values are: "latest", "2021-04-01". Defaults to "latest".

Default value: latest
custom_headers
dict

headers that will be added to the request

Default value: None
raw
bool

returns the direct response alongside the deserialized response

Default value: False
operation_config
Required

Operation configuration overrides.

Returns

Type Description
AreaOfInterestResult,
<xref:msrest.pipeline.ClientRawResponse>

AreaOfInterestResult or ClientRawResponse if raw=true

Exceptions

Type Description
ComputerVisionErrorResponseException

get_area_of_interest_in_stream

This operation returns a bounding box around the most important area of the image. A successful response will be returned in JSON. If the request failed, the response contains an error code and a message to help determine what went wrong. Upon failure, the error code and an error message are returned. The error code could be one of InvalidImageUrl, InvalidImageFormat, InvalidImageSize, NotSupportedImage, FailedToProcess, Timeout, or InternalServerError.

get_area_of_interest_in_stream(image, model_version='latest', custom_headers=None, raw=False, callback=None, **operation_config)

Parameters

Name Description
image
Required
Generator

An image stream.
model_version
str

Optional parameter to specify the version of the AI model. Accepted values are: "latest", "2021-04-01". Defaults to "latest".

Default value: latest
custom_headers
dict

headers that will be added to the request

Default value: None
raw
bool

returns the direct response alongside the deserialized response

Default value: False
callback
Callable[<xref:Bytes>, <xref:response=None>]

When specified, will be called with each chunk of data that is streamed. The callback should take two arguments, the bytes of the current chunk of data and the response object. If the data is uploading, response will be None.

Default value: None
operation_config
Required

Operation configuration overrides.

Returns

Type Description
AreaOfInterestResult,
<xref:msrest.pipeline.ClientRawResponse>

AreaOfInterestResult or ClientRawResponse if raw=true

Exceptions

Type Description
ComputerVisionErrorResponseException

get_read_result

This interface is used for getting OCR results of Read operation. The URL to this interface should be retrieved from 'Operation-Location' field returned from Read interface.

get_read_result(operation_id, custom_headers=None, raw=False, **operation_config)

Parameters

Name Description
operation_id
Required
str

Id of read operation returned in the response of the 'Read' interface.
custom_headers
dict

headers that will be added to the request

Default value: None
raw
bool

returns the direct response alongside the deserialized response

Default value: False
operation_config
Required

Operation configuration overrides.

Returns

Type Description
ReadOperationResult,
<xref:msrest.pipeline.ClientRawResponse>

ReadOperationResult or ClientRawResponse if raw=true

Exceptions

Type Description
ComputerVisionOcrErrorException

list_models

This operation returns the list of domain-specific models that are supported by the Computer Vision API. Currently, the API supports following domain-specific models: celebrity recognizer, landmark recognizer. 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.

list_models(custom_headers=None, raw=False, **operation_config)

Parameters

Name Description
custom_headers
dict

headers that will be added to the request

Default value: None
raw
bool

returns the direct response alongside the deserialized response

Default value: False
operation_config
Required

Operation configuration overrides.

Returns

Type Description
ListModelsResult,
<xref:msrest.pipeline.ClientRawResponse>

ListModelsResult or ClientRawResponse if raw=true

Exceptions

Type Description
ComputerVisionErrorResponseException

read

Use this interface to get the result of a Read operation, employing the state-of-the-art Optical Character Recognition (OCR) algorithms optimized for text-heavy documents. When you use the Read interface, the response contains a field called 'Operation-Location'. The 'Operation-Location' field contains the URL that you must use for your 'GetReadResult' operation to access OCR results.​.

read(url, language=None, pages=None, model_version='latest', reading_order='basic', custom_headers=None, raw=False, **operation_config)

Parameters

Name Description
url
Required
str

Publicly reachable URL of an image.
language
str or OcrDetectionLanguage

The BCP-47 language code of the text in the document. Read supports auto language identification and multi-language documents, so only provide a language code if you would like to force the document to be processed in that specific language. See https://aka.ms/ocr-languages for list of supported languages. Possible values include: 'af', 'ast', 'bi', 'br', 'ca', 'ceb', 'ch', 'co', 'crh', 'cs', 'csb', 'da', 'de', 'en', 'es', 'et', 'eu', 'fi', 'fil', 'fj', 'fr', 'fur', 'fy', 'ga', 'gd', 'gil', 'gl', 'gv', 'hni', 'hsb', 'ht', 'hu', 'ia', 'id', 'it', 'iu', 'ja', 'jv', 'kaa', 'kac', 'kea', 'kha', 'kl', 'ko', 'ku', 'kw', 'lb', 'ms', 'mww', 'nap', 'nl', 'no', 'oc', 'pl', 'pt', 'quc', 'rm', 'sco', 'sl', 'sq', 'sv', 'sw', 'tet', 'tr', 'tt', 'uz', 'vo', 'wae', 'yua', 'za', 'zh-Hans', 'zh-Hant', 'zu'

Default value: None
pages
list[str]

Custom page numbers for multi-page documents(PDF/TIFF), input the number of the pages you want to get OCR result. For a range of pages, use a hyphen. Separate each page or range with a comma.

Default value: None
model_version
str

Optional parameter to specify the version of the OCR model used for text extraction. Accepted values are: "latest", "latest-preview", "2021-04-12". Defaults to "latest".

Default value: latest
reading_order
str

Optional parameter to specify which reading order algorithm should be applied when ordering the extract text elements. Can be either 'basic' or 'natural'. Will default to 'basic' if not specified

Default value: basic
custom_headers
dict

headers that will be added to the request

Default value: None
raw
bool

returns the direct response alongside the deserialized response

Default value: False
operation_config
Required

Operation configuration overrides.

Returns

Type Description
None,
<xref:msrest.pipeline.ClientRawResponse>

None or ClientRawResponse if raw=true

Exceptions

Type Description
ComputerVisionOcrErrorException

read_in_stream

Use this interface to get the result of a Read operation, employing the state-of-the-art Optical Character Recognition (OCR) algorithms optimized for text-heavy documents. When you use the Read interface, the response contains a field called 'Operation-Location'. The 'Operation-Location' field contains the URL that you must use for your 'GetReadResult' operation to access OCR results.​.

read_in_stream(image, language=None, pages=None, model_version='latest', reading_order='basic', custom_headers=None, raw=False, callback=None, **operation_config)

Parameters

Name Description
image
Required
Generator

An image stream.
language
str or OcrDetectionLanguage

The BCP-47 language code of the text in the document. Read supports auto language identification and multi-language documents, so only provide a language code if you would like to force the document to be processed in that specific language. See https://aka.ms/ocr-languages for list of supported languages. Possible values include: 'af', 'ast', 'bi', 'br', 'ca', 'ceb', 'ch', 'co', 'crh', 'cs', 'csb', 'da', 'de', 'en', 'es', 'et', 'eu', 'fi', 'fil', 'fj', 'fr', 'fur', 'fy', 'ga', 'gd', 'gil', 'gl', 'gv', 'hni', 'hsb', 'ht', 'hu', 'ia', 'id', 'it', 'iu', 'ja', 'jv', 'kaa', 'kac', 'kea', 'kha', 'kl', 'ko', 'ku', 'kw', 'lb', 'ms', 'mww', 'nap', 'nl', 'no', 'oc', 'pl', 'pt', 'quc', 'rm', 'sco', 'sl', 'sq', 'sv', 'sw', 'tet', 'tr', 'tt', 'uz', 'vo', 'wae', 'yua', 'za', 'zh-Hans', 'zh-Hant', 'zu'

Default value: None
pages
list[str]

Custom page numbers for multi-page documents(PDF/TIFF), input the number of the pages you want to get OCR result. For a range of pages, use a hyphen. Separate each page or range with a comma.

Default value: None
model_version
str

Optional parameter to specify the version of the OCR model used for text extraction. Accepted values are: "latest", "latest-preview", "2021-04-12". Defaults to "latest".

Default value: latest
reading_order
str

Optional parameter to specify which reading order algorithm should be applied when ordering the extract text elements. Can be either 'basic' or 'natural'. Will default to 'basic' if not specified

Default value: basic
custom_headers
dict

headers that will be added to the request

Default value: None
raw
bool

returns the direct response alongside the deserialized response

Default value: False
callback
Callable[<xref:Bytes>, <xref:response=None>]

When specified, will be called with each chunk of data that is streamed. The callback should take two arguments, the bytes of the current chunk of data and the response object. If the data is uploading, response will be None.

Default value: None
operation_config
Required

Operation configuration overrides.

Returns

Type Description
None,
<xref:msrest.pipeline.ClientRawResponse>

None or ClientRawResponse if raw=true

Exceptions

Type Description
ComputerVisionOcrErrorException

recognize_printed_text

Optical Character Recognition (OCR) detects text in an image and extracts the recognized characters into a machine-usable character stream. Upon success, the OCR results will be returned. 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.

recognize_printed_text(url, detect_orientation=True, language='unk', model_version='latest', custom_headers=None, raw=False, **operation_config)

Parameters

Name Description
detect_orientation
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).

Default value: True
url
Required
str

Publicly reachable URL of an image.
language
str or OcrLanguages

The BCP-47 language code of the text to be detected in the image. The default value is 'unk'. 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', 'ar', 'ro', 'sr-Cyrl', 'sr-Latn', 'sk'

Default value: unk
model_version
str

Optional parameter to specify the version of the AI model. Accepted values are: "latest", "2021-04-01". Defaults to "latest".

Default value: latest
custom_headers
dict

headers that will be added to the request

Default value: None
raw
bool

returns the direct response alongside the deserialized response

Default value: False
operation_config
Required

Operation configuration overrides.

Returns

Type Description
OcrResult,
<xref:msrest.pipeline.ClientRawResponse>

OcrResult or ClientRawResponse if raw=true

Exceptions

Type Description
ComputerVisionErrorResponseException

recognize_printed_text_in_stream

Optical Character Recognition (OCR) detects text in an image and extracts the recognized characters into a machine-usable character stream. Upon success, the OCR results will be returned. 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.

recognize_printed_text_in_stream(image, detect_orientation=True, language='unk', model_version='latest', custom_headers=None, raw=False, callback=None, **operation_config)

Parameters

Name Description
detect_orientation
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).

Default value: True
image
Required
Generator

An image stream.
language
str or OcrLanguages

The BCP-47 language code of the text to be detected in the image. The default value is 'unk'. 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', 'ar', 'ro', 'sr-Cyrl', 'sr-Latn', 'sk'

Default value: unk
model_version
str

Optional parameter to specify the version of the AI model. Accepted values are: "latest", "2021-04-01". Defaults to "latest".

Default value: latest
custom_headers
dict

headers that will be added to the request

Default value: None
raw
bool

returns the direct response alongside the deserialized response

Default value: False
callback
Callable[<xref:Bytes>, <xref:response=None>]

When specified, will be called with each chunk of data that is streamed. The callback should take two arguments, the bytes of the current chunk of data and the response object. If the data is uploading, response will be None.

Default value: None
operation_config
Required

Operation configuration overrides.

Returns

Type Description
OcrResult,
<xref:msrest.pipeline.ClientRawResponse>

OcrResult or ClientRawResponse if raw=true

Exceptions

Type Description
ComputerVisionErrorResponseException

tag_image

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 "ascomycete" may be accompanied by the hint "fungus". Two input methods are supported – (1) Uploading an image or (2) specifying an image URL. 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.

tag_image(url, language='en', model_version='latest', custom_headers=None, raw=False, **operation_config)

Parameters

Name Description
url
Required
str

Publicly reachable URL of an image.
language
str

The desired language for output generation. If this parameter is not specified, the default value is "en".Supported languages:en - English, Default. es - Spanish, ja - Japanese, pt - Portuguese, zh - Simplified Chinese. Possible values include: 'en', 'es', 'ja', 'pt', 'zh'

Default value: en
model_version
str

Optional parameter to specify the version of the AI model. Accepted values are: "latest", "2021-04-01". Defaults to "latest".

Default value: latest
custom_headers
dict

headers that will be added to the request

Default value: None
raw
bool

returns the direct response alongside the deserialized response

Default value: False
operation_config
Required

Operation configuration overrides.

Returns

Type Description
TagResult,
<xref:msrest.pipeline.ClientRawResponse>

TagResult or ClientRawResponse if raw=true

Exceptions

Type Description
ComputerVisionErrorResponseException

tag_image_in_stream

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 "ascomycete" may be accompanied by the hint "fungus". Two input methods are supported – (1) Uploading an image or (2) specifying an image URL. 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.

tag_image_in_stream(image, language='en', model_version='latest', custom_headers=None, raw=False, callback=None, **operation_config)

Parameters

Name Description
image
Required
Generator

An image stream.
language
str

The desired language for output generation. If this parameter is not specified, the default value is "en".Supported languages:en - English, Default. es - Spanish, ja - Japanese, pt - Portuguese, zh - Simplified Chinese. Possible values include: 'en', 'es', 'ja', 'pt', 'zh'

Default value: en
model_version
str

Optional parameter to specify the version of the AI model. Accepted values are: "latest", "2021-04-01". Defaults to "latest".

Default value: latest
custom_headers
dict

headers that will be added to the request

Default value: None
raw
bool

returns the direct response alongside the deserialized response

Default value: False
callback
Callable[<xref:Bytes>, <xref:response=None>]

When specified, will be called with each chunk of data that is streamed. The callback should take two arguments, the bytes of the current chunk of data and the response object. If the data is uploading, response will be None.

Default value: None
operation_config
Required

Operation configuration overrides.

Returns

Type Description
TagResult,
<xref:msrest.pipeline.ClientRawResponse>

TagResult or ClientRawResponse if raw=true

Exceptions

Type Description
ComputerVisionErrorResponseException