azure.cognitiveservices.vision.computervision.models.ImageAnalysis.yml

### YamlMime:PythonClass
uid: azure.cognitiveservices.vision.computervision.models.ImageAnalysis
name: ImageAnalysis
fullName: azure.cognitiveservices.vision.computervision.models.ImageAnalysis
module: azure.cognitiveservices.vision.computervision.models
inheritances:
- msrest.serialization.Model
summary: Result of AnalyzeImage operation.
constructor:
  syntax: 'ImageAnalysis(*, categories=None, adult=None, color=None, image_type=None,
    tags=None, description=None, faces=None, objects=None, brands=None, request_id:
    str = None, metadata=None, model_version: str = None, **kwargs)'
  parameters:
  - name: categories
    description: An array indicating identified categories.
    isRequired: true
    types:
    - <xref:list>[<xref:azure.cognitiveservices.vision.computervision.models.Category>]
  - name: adult
    description: 'An object describing whether the image contains

      adult-oriented content and/or is racy.'
    isRequired: true
    types:
    - <xref:azure.cognitiveservices.vision.computervision.models.AdultInfo>
  - name: color
    description: 'An object providing additional metadata describing color

      attributes.'
    isRequired: true
    types:
    - <xref:azure.cognitiveservices.vision.computervision.models.ColorInfo>
  - name: image_type
    description: 'An object providing possible image types and matching

      confidence levels.'
    isRequired: true
    types:
    - <xref:azure.cognitiveservices.vision.computervision.models.ImageType>
  - name: tags
    description: A list of tags with confidence level.
    isRequired: true
    types:
    - <xref:list>[<xref:azure.cognitiveservices.vision.computervision.models.ImageTag>]
  - name: description
    description: 'A collection of content tags, along with a list of

      captions sorted by confidence level, and image metadata.'
    isRequired: true
    types:
    - <xref:azure.cognitiveservices.vision.computervision.models.ImageDescriptionDetails>
  - name: faces
    description: An array of possible faces within the image.
    isRequired: true
    types:
    - <xref:list>[<xref:azure.cognitiveservices.vision.computervision.models.FaceDescription>]
  - name: objects
    description: 'Array of objects describing what was detected in the

      image.'
    isRequired: true
    types:
    - <xref:list>[<xref:azure.cognitiveservices.vision.computervision.models.DetectedObject>]
  - name: brands
    description: Array of brands detected in the image.
    isRequired: true
    types:
    - <xref:list>[<xref:azure.cognitiveservices.vision.computervision.models.DetectedBrand>]
  - name: request_id
    description: Id of the REST API request.
    isRequired: true
    types:
    - <xref:str>
  - name: metadata
    isRequired: true
    types:
    - <xref:azure.cognitiveservices.vision.computervision.models.ImageMetadata>
  - name: model_version
    isRequired: true
    types:
    - <xref:str>
  keywordOnlyParameters:
  - name: categories
    isRequired: true
  - name: adult
    isRequired: true
  - name: color
    isRequired: true
  - name: image_type
    isRequired: true
  - name: tags
    isRequired: true
  - name: description
    isRequired: true
  - name: faces
    isRequired: true
  - name: objects
    isRequired: true
  - name: brands
    isRequired: true
  - name: request_id
    isRequired: true
  - name: metadata
    isRequired: true
  - name: model_version
    isRequired: true
methods:
- uid: azure.cognitiveservices.vision.computervision.models.ImageAnalysis.as_dict
  name: as_dict
  summary: "Return a dict that can be JSONify using json.dump.\n\nAdvanced usage might\
    \ optionally use a callback as parameter:\n\nKey is the attribute name used in\
    \ Python. Attr_desc\nis a dict of metadata. Currently contains 'type' with the\n\
    msrest type and 'key' with the RestAPI encoded key.\nValue is the current value\
    \ in this object.\n\nThe string returned will be used to serialize the key.\n\
    If the return type is a list, this is considered hierarchical\nresult dict.\n\n\
    See the three examples in this file:\n\n* attribute_transformer \n\n* full_restapi_key_transformer\
    \ \n\n* last_restapi_key_transformer \n\nIf you want XML serialization, you can\
    \ pass the kwargs is_xml=True."
  signature: as_dict(keep_readonly=True, key_transformer=<function attribute_transformer>,
    **kwargs)
  parameters:
  - name: key_transformer
    description: A key transformer function.
    types:
    - <xref:function>
  - name: keep_readonly
    defaultValue: 'True'
  return:
    description: A dict JSON compatible object
    types:
    - <xref:dict>
- uid: azure.cognitiveservices.vision.computervision.models.ImageAnalysis.deserialize
  name: deserialize
  summary: Parse a str using the RestAPI syntax and return a model.
  signature: deserialize(data, content_type=None)
  parameters:
  - name: data
    description: A str using RestAPI structure. JSON by default.
    isRequired: true
    types:
    - <xref:str>
  - name: content_type
    description: JSON by default, set application/xml if XML.
    defaultValue: None
    types:
    - <xref:str>
  return:
    description: An instance of this model
  exceptions:
  - type: DeserializationError if something went wrong
- uid: azure.cognitiveservices.vision.computervision.models.ImageAnalysis.enable_additional_properties_sending
  name: enable_additional_properties_sending
  signature: enable_additional_properties_sending()
- uid: azure.cognitiveservices.vision.computervision.models.ImageAnalysis.from_dict
  name: from_dict
  summary: 'Parse a dict using given key extractor return a model.


    By default consider key

    extractors (rest_key_case_insensitive_extractor, attribute_key_case_insensitive_extractor

    and last_rest_key_case_insensitive_extractor)'
  signature: from_dict(data, key_extractors=None, content_type=None)
  parameters:
  - name: data
    description: A dict using RestAPI structure
    isRequired: true
    types:
    - <xref:dict>
  - name: content_type
    description: JSON by default, set application/xml if XML.
    defaultValue: None
    types:
    - <xref:str>
  - name: key_extractors
    defaultValue: None
  return:
    description: An instance of this model
  exceptions:
  - type: DeserializationError if something went wrong
- uid: azure.cognitiveservices.vision.computervision.models.ImageAnalysis.is_xml_model
  name: is_xml_model
  signature: is_xml_model()
- uid: azure.cognitiveservices.vision.computervision.models.ImageAnalysis.serialize
  name: serialize
  summary: 'Return the JSON that would be sent to azure from this model.


    This is an alias to *as_dict(full_restapi_key_transformer, keep_readonly=False)*.


    If you want XML serialization, you can pass the kwargs is_xml=True.'
  signature: serialize(keep_readonly=False, **kwargs)
  parameters:
  - name: keep_readonly
    description: If you want to serialize the readonly attributes
    defaultValue: 'False'
    types:
    - <xref:bool>
  return:
    description: A dict JSON compatible object
    types:
    - <xref:dict>
- uid: azure.cognitiveservices.vision.computervision.models.ImageAnalysis.validate
  name: validate
  summary: Validate this model recursively and return a list of ValidationError.
  signature: validate()
  return:
    description: A list of validation error
    types:
    - <xref:list>