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

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

Overview

Annotation results for a single video.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ GoogleCloudVideointelligenceV1p3beta1VideoAnnotationResults

Returns a new instance of GoogleCloudVideointelligenceV1p3beta1VideoAnnotationResults.



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# File 'lib/google/apis/videointelligence_v1p2beta1/classes.rb', line 6311

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

Instance Attribute Details

#celebrity_recognition_annotations ⇒ Google::Apis::VideointelligenceV1p2beta1::GoogleCloudVideointelligenceV1p3beta1CelebrityRecognitionAnnotation

Celebrity recognition annotation per video. Corresponds to the JSON property celebrityRecognitionAnnotations

Returns:



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# File 'lib/google/apis/videointelligence_v1p2beta1/classes.rb', line 6204

def celebrity_recognition_annotations
  @celebrity_recognition_annotations
end

#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 'lib/google/apis/videointelligence_v1p2beta1/classes.rb', line 6214

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 'lib/google/apis/videointelligence_v1p2beta1/classes.rb', line 6221

def explicit_annotation
  @explicit_annotation
end

#face_annotations ⇒ Array<Google::Apis::VideointelligenceV1p2beta1::GoogleCloudVideointelligenceV1p3beta1FaceAnnotation>

Deprecated. Please use face_detection_annotations instead. Corresponds to the JSON property faceAnnotations

Returns:



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# File 'lib/google/apis/videointelligence_v1p2beta1/classes.rb', line 6226

def face_annotations
  @face_annotations
end

#face_detection_annotations ⇒ Array<Google::Apis::VideointelligenceV1p2beta1::GoogleCloudVideointelligenceV1p3beta1FaceDetectionAnnotation>

Face detection annotations. Corresponds to the JSON property faceDetectionAnnotations

Returns:



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# File 'lib/google/apis/videointelligence_v1p2beta1/classes.rb', line 6231

def face_detection_annotations
  @face_detection_annotations
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 'lib/google/apis/videointelligence_v1p2beta1/classes.rb', line 6237

def frame_label_annotations
  @frame_label_annotations
end

#input_uri ⇒ String

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

Returns:

  • (String) 


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# File 'lib/google/apis/videointelligence_v1p2beta1/classes.rb', line 6242

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 'lib/google/apis/videointelligence_v1p2beta1/classes.rb', line 6247

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 'lib/google/apis/videointelligence_v1p2beta1/classes.rb', line 6252

def object_annotations
  @object_annotations
end

#person_detection_annotations ⇒ Array<Google::Apis::VideointelligenceV1p2beta1::GoogleCloudVideointelligenceV1p3beta1PersonDetectionAnnotation>

Person detection annotations. Corresponds to the JSON property personDetectionAnnotations

Returns:



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# File 'lib/google/apis/videointelligence_v1p2beta1/classes.rb', line 6257

def person_detection_annotations
  @person_detection_annotations
end

#segment ⇒ Google::Apis::VideointelligenceV1p2beta1::GoogleCloudVideointelligenceV1p3beta1VideoSegment

Video segment. Corresponds to the JSON property segment

Returns:



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# File 'lib/google/apis/videointelligence_v1p2beta1/classes.rb', line 6262

def segment
  @segment
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 'lib/google/apis/videointelligence_v1p2beta1/classes.rb', line 6268

def segment_label_annotations
  @segment_label_annotations
end

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

Presence label annotations on video level or user-specified segment level. There is exactly one element for each unique label. Compared to the existing topical segment_label_annotations, this field presents more fine-grained, segment-level labels detected in video content and is made available only when the client sets LabelDetectionConfig.model to "builtin/latest" in the request. Corresponds to the JSON property segmentPresenceLabelAnnotations

Returns:



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# File 'lib/google/apis/videointelligence_v1p2beta1/classes.rb', line 6278

def segment_presence_label_annotations
  @segment_presence_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 'lib/google/apis/videointelligence_v1p2beta1/classes.rb', line 6283

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 'lib/google/apis/videointelligence_v1p2beta1/classes.rb', line 6289

def shot_label_annotations
  @shot_label_annotations
end

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

Presence label annotations on shot level. There is exactly one element for each unique label. Compared to the existing topical shot_label_annotations, this field presents more fine-grained, shot-level labels detected in video content and is made available only when the client sets LabelDetectionConfig. model to "builtin/latest" in the request. Corresponds to the JSON property shotPresenceLabelAnnotations

Returns:



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# File 'lib/google/apis/videointelligence_v1p2beta1/classes.rb', line 6298

def shot_presence_label_annotations
  @shot_presence_label_annotations
end

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

Speech transcription. Corresponds to the JSON property speechTranscriptions

Returns:



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# File 'lib/google/apis/videointelligence_v1p2beta1/classes.rb', line 6303

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 'lib/google/apis/videointelligence_v1p2beta1/classes.rb', line 6309

def text_annotations
  @text_annotations
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



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# File 'lib/google/apis/videointelligence_v1p2beta1/classes.rb', line 6316

def update!(**args)
  @celebrity_recognition_annotations = args[:celebrity_recognition_annotations] if args.key?(:celebrity_recognition_annotations)
  @error = args[:error] if args.key?(:error)
  @explicit_annotation = args[:explicit_annotation] if args.key?(:explicit_annotation)
  @face_annotations = args[:face_annotations] if args.key?(:face_annotations)
  @face_detection_annotations = args[:face_detection_annotations] if args.key?(:face_detection_annotations)
  @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)
  @person_detection_annotations = args[:person_detection_annotations] if args.key?(:person_detection_annotations)
  @segment = args[:segment] if args.key?(:segment)
  @segment_label_annotations = args[:segment_label_annotations] if args.key?(:segment_label_annotations)
  @segment_presence_label_annotations = args[:segment_presence_label_annotations] if args.key?(:segment_presence_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)
  @shot_presence_label_annotations = args[:shot_presence_label_annotations] if args.key?(:shot_presence_label_annotations)
  @speech_transcriptions = args[:speech_transcriptions] if args.key?(:speech_transcriptions)
  @text_annotations = args[:text_annotations] if args.key?(:text_annotations)
end