Class: Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1VideoAnnotationResults

Inherits:
Object
  • Object
show all
Includes:
Core::Hashable, Core::JsonObjectSupport
Defined in:
generated/google/apis/videointelligence_v1/classes.rb,
generated/google/apis/videointelligence_v1/representations.rb,
generated/google/apis/videointelligence_v1/representations.rb

Overview

Annotation results for a single video.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ GoogleCloudVideointelligenceV1p2beta1VideoAnnotationResults

Returns a new instance of GoogleCloudVideointelligenceV1p2beta1VideoAnnotationResults.



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# File 'generated/google/apis/videointelligence_v1/classes.rb', line 4962

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

Instance Attribute Details

#errorGoogle::Apis::VideointelligenceV1::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



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# File 'generated/google/apis/videointelligence_v1/classes.rb', line 4865

def error
  @error
end

#explicit_annotationGoogle::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1ExplicitContentAnnotation

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



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# File 'generated/google/apis/videointelligence_v1/classes.rb', line 4872

def explicit_annotation
  @explicit_annotation
end

#face_annotationsArray<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1FaceAnnotation>

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



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# File 'generated/google/apis/videointelligence_v1/classes.rb', line 4877

def face_annotations
  @face_annotations
end

#face_detection_annotationsArray<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1FaceDetectionAnnotation>

Face detection annotations. Corresponds to the JSON property faceDetectionAnnotations



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# File 'generated/google/apis/videointelligence_v1/classes.rb', line 4882

def face_detection_annotations
  @face_detection_annotations
end

#frame_label_annotationsArray<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1LabelAnnotation>

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



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# File 'generated/google/apis/videointelligence_v1/classes.rb', line 4888

def frame_label_annotations
  @frame_label_annotations
end

#input_uriString

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

Returns:

  • (String)


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# File 'generated/google/apis/videointelligence_v1/classes.rb', line 4893

def input_uri
  @input_uri
end

#logo_recognition_annotationsArray<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1LogoRecognitionAnnotation>

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



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# File 'generated/google/apis/videointelligence_v1/classes.rb', line 4898

def logo_recognition_annotations
  @logo_recognition_annotations
end

#object_annotationsArray<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1ObjectTrackingAnnotation>

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



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# File 'generated/google/apis/videointelligence_v1/classes.rb', line 4903

def object_annotations
  @object_annotations
end

#person_detection_annotationsArray<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1PersonDetectionAnnotation>

Person detection annotations. Corresponds to the JSON property personDetectionAnnotations



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# File 'generated/google/apis/videointelligence_v1/classes.rb', line 4908

def person_detection_annotations
  @person_detection_annotations
end

#segmentGoogle::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1VideoSegment

Video segment. Corresponds to the JSON property segment



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# File 'generated/google/apis/videointelligence_v1/classes.rb', line 4913

def segment
  @segment
end

#segment_label_annotationsArray<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1LabelAnnotation>

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



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# File 'generated/google/apis/videointelligence_v1/classes.rb', line 4919

def segment_label_annotations
  @segment_label_annotations
end

#segment_presence_label_annotationsArray<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1LabelAnnotation>

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



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# File 'generated/google/apis/videointelligence_v1/classes.rb', line 4929

def segment_presence_label_annotations
  @segment_presence_label_annotations
end

#shot_annotationsArray<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1VideoSegment>

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



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# File 'generated/google/apis/videointelligence_v1/classes.rb', line 4934

def shot_annotations
  @shot_annotations
end

#shot_label_annotationsArray<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1LabelAnnotation>

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



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# File 'generated/google/apis/videointelligence_v1/classes.rb', line 4940

def shot_label_annotations
  @shot_label_annotations
end

#shot_presence_label_annotationsArray<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1LabelAnnotation>

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



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# File 'generated/google/apis/videointelligence_v1/classes.rb', line 4949

def shot_presence_label_annotations
  @shot_presence_label_annotations
end

#speech_transcriptionsArray<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1SpeechTranscription>

Speech transcription. Corresponds to the JSON property speechTranscriptions



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# File 'generated/google/apis/videointelligence_v1/classes.rb', line 4954

def speech_transcriptions
  @speech_transcriptions
end

#text_annotationsArray<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1TextAnnotation>

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



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# File 'generated/google/apis/videointelligence_v1/classes.rb', line 4960

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_v1/classes.rb', line 4967

def update!(**args)
  @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