Class: Google::Apis::VideointelligenceV1p2beta1::GoogleCloudVideointelligenceV1p3beta1VideoAnnotationResults

Inherits:
Object
  • Object
show all
Includes:
Core::Hashable, Core::JsonObjectSupport
Defined in:
generated/google/apis/videointelligence_v1p2beta1/classes.rb,
generated/google/apis/videointelligence_v1p2beta1/representations.rb,
generated/google/apis/videointelligence_v1p2beta1/representations.rb

Overview

Annotation results for a single video.

Instance Attribute Summary collapse

Instance Method Summary collapse

Methods included from Core::JsonObjectSupport

#to_json

Methods included from Core::Hashable

process_value, #to_h

Constructor Details

#initialize(**args) ⇒ GoogleCloudVideointelligenceV1p3beta1VideoAnnotationResults

Returns a new instance of GoogleCloudVideointelligenceV1p3beta1VideoAnnotationResults



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# File 'generated/google/apis/videointelligence_v1p2beta1/classes.rb', line 4469

def initialize(**args)
   update!(**args)
end

Instance Attribute Details

#error ⇒ Google::Apis::VideointelligenceV1p2beta1::GoogleRpcStatus

The Status type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by gRPC. Each Status message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the API Design Guide. Corresponds to the JSON property error

Returns:



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# File 'generated/google/apis/videointelligence_v1p2beta1/classes.rb', line 4409

def error
  @error
end

#explicit_annotation ⇒ Google::Apis::VideointelligenceV1p2beta1::GoogleCloudVideointelligenceV1p3beta1ExplicitContentAnnotation

Explicit content annotation (based on per-frame visual signals only). If no explicit content has been detected in a frame, no annotations are present for that frame. Corresponds to the JSON property explicitAnnotation

Returns:



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# File 'generated/google/apis/videointelligence_v1p2beta1/classes.rb', line 4416

def explicit_annotation
  @explicit_annotation
end

#frame_label_annotations ⇒ Array<Google::Apis::VideointelligenceV1p2beta1::GoogleCloudVideointelligenceV1p3beta1LabelAnnotation>

Label annotations on frame level. There is exactly one element for each unique label. Corresponds to the JSON property frameLabelAnnotations

Returns:



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# File 'generated/google/apis/videointelligence_v1p2beta1/classes.rb', line 4422

def frame_label_annotations
  @frame_label_annotations
end

#input_uri ⇒ String

Video file location in Google Cloud Storage. Corresponds to the JSON property inputUri

Returns:

  • (String) 


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# File 'generated/google/apis/videointelligence_v1p2beta1/classes.rb', line 4428

def input_uri
  @input_uri
end

#logo_recognition_annotations ⇒ Array<Google::Apis::VideointelligenceV1p2beta1::GoogleCloudVideointelligenceV1p3beta1LogoRecognitionAnnotation>

Annotations for list of logos detected, tracked and recognized in video. Corresponds to the JSON property logoRecognitionAnnotations

Returns:



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# File 'generated/google/apis/videointelligence_v1p2beta1/classes.rb', line 4433

def logo_recognition_annotations
  @logo_recognition_annotations
end

#object_annotations ⇒ Array<Google::Apis::VideointelligenceV1p2beta1::GoogleCloudVideointelligenceV1p3beta1ObjectTrackingAnnotation>

Annotations for list of objects detected and tracked in video. Corresponds to the JSON property objectAnnotations

Returns:



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# File 'generated/google/apis/videointelligence_v1p2beta1/classes.rb', line 4438

def object_annotations
  @object_annotations
end

#segment_label_annotations ⇒ Array<Google::Apis::VideointelligenceV1p2beta1::GoogleCloudVideointelligenceV1p3beta1LabelAnnotation>

Topical label annotations on video level or user specified segment level. There is exactly one element for each unique label. Corresponds to the JSON property segmentLabelAnnotations

Returns:



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# File 'generated/google/apis/videointelligence_v1p2beta1/classes.rb', line 4444

def segment_label_annotations
  @segment_label_annotations
end

#shot_annotations ⇒ Array<Google::Apis::VideointelligenceV1p2beta1::GoogleCloudVideointelligenceV1p3beta1VideoSegment>

Shot annotations. Each shot is represented as a video segment. Corresponds to the JSON property shotAnnotations

Returns:



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# File 'generated/google/apis/videointelligence_v1p2beta1/classes.rb', line 4449

def shot_annotations
  @shot_annotations
end

#shot_label_annotations ⇒ Array<Google::Apis::VideointelligenceV1p2beta1::GoogleCloudVideointelligenceV1p3beta1LabelAnnotation>

Topical label annotations on shot level. There is exactly one element for each unique label. Corresponds to the JSON property shotLabelAnnotations

Returns:



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# File 'generated/google/apis/videointelligence_v1p2beta1/classes.rb', line 4455

def shot_label_annotations
  @shot_label_annotations
end

#speech_transcriptions ⇒ Array<Google::Apis::VideointelligenceV1p2beta1::GoogleCloudVideointelligenceV1p3beta1SpeechTranscription>

Speech transcription. Corresponds to the JSON property speechTranscriptions

Returns:



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# File 'generated/google/apis/videointelligence_v1p2beta1/classes.rb', line 4460

def speech_transcriptions
  @speech_transcriptions
end

#text_annotations ⇒ Array<Google::Apis::VideointelligenceV1p2beta1::GoogleCloudVideointelligenceV1p3beta1TextAnnotation>

OCR text detection and tracking. Annotations for list of detected text snippets. Each will have list of frame information associated with it. Corresponds to the JSON property textAnnotations

Returns:



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# File 'generated/google/apis/videointelligence_v1p2beta1/classes.rb', line 4467

def text_annotations
  @text_annotations
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



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# File 'generated/google/apis/videointelligence_v1p2beta1/classes.rb', line 4474

def update!(**args)
  @error = args[:error] if args.key?(:error)
  @explicit_annotation = args[:explicit_annotation] if args.key?(:explicit_annotation)
  @frame_label_annotations = args[:frame_label_annotations] if args.key?(:frame_label_annotations)
  @input_uri = args[:input_uri] if args.key?(:input_uri)
  @logo_recognition_annotations = args[:logo_recognition_annotations] if args.key?(:logo_recognition_annotations)
  @object_annotations = args[:object_annotations] if args.key?(:object_annotations)
  @segment_label_annotations = args[:segment_label_annotations] if args.key?(:segment_label_annotations)
  @shot_annotations = args[:shot_annotations] if args.key?(:shot_annotations)
  @shot_label_annotations = args[:shot_label_annotations] if args.key?(:shot_label_annotations)
  @speech_transcriptions = args[:speech_transcriptions] if args.key?(:speech_transcriptions)
  @text_annotations = args[:text_annotations] if args.key?(:text_annotations)
end