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

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



5137
5138
5139
 
# File 'lib/google/apis/videointelligence_v1/classes.rb', line 5137

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

Instance Attribute Details

#error ⇒ Google::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

Returns:



5040
5041
5042
 
# File 'lib/google/apis/videointelligence_v1/classes.rb', line 5040

def error
  @error
end

#explicit_annotation ⇒ Google::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

Returns:



5047
5048
5049
 
# File 'lib/google/apis/videointelligence_v1/classes.rb', line 5047

def explicit_annotation
  @explicit_annotation
end

#face_annotations ⇒ Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1FaceAnnotation>

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

Returns:



5052
5053
5054
 
# File 'lib/google/apis/videointelligence_v1/classes.rb', line 5052

def face_annotations
  @face_annotations
end

#face_detection_annotations ⇒ Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1FaceDetectionAnnotation>

Face detection annotations. Corresponds to the JSON property faceDetectionAnnotations

Returns:



5057
5058
5059
 
# File 'lib/google/apis/videointelligence_v1/classes.rb', line 5057

def face_detection_annotations
  @face_detection_annotations
end

#frame_label_annotations ⇒ Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1LabelAnnotation>

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

Returns:



5063
5064
5065
 
# File 'lib/google/apis/videointelligence_v1/classes.rb', line 5063

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) 


5068
5069
5070
 
# File 'lib/google/apis/videointelligence_v1/classes.rb', line 5068

def input_uri
  @input_uri
end

#logo_recognition_annotations ⇒ Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1LogoRecognitionAnnotation>

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

Returns:



5073
5074
5075
 
# File 'lib/google/apis/videointelligence_v1/classes.rb', line 5073

def logo_recognition_annotations
  @logo_recognition_annotations
end

#object_annotations ⇒ Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1ObjectTrackingAnnotation>

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

Returns:



5078
5079
5080
 
# File 'lib/google/apis/videointelligence_v1/classes.rb', line 5078

def object_annotations
  @object_annotations
end

#person_detection_annotations ⇒ Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1PersonDetectionAnnotation>

Person detection annotations. Corresponds to the JSON property personDetectionAnnotations

Returns:



5083
5084
5085
 
# File 'lib/google/apis/videointelligence_v1/classes.rb', line 5083

def person_detection_annotations
  @person_detection_annotations
end

#segment ⇒ Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1VideoSegment

Video segment. Corresponds to the JSON property segment

Returns:



5088
5089
5090
 
# File 'lib/google/apis/videointelligence_v1/classes.rb', line 5088

def segment
  @segment
end

#segment_label_annotations ⇒ Array<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

Returns:



5094
5095
5096
 
# File 'lib/google/apis/videointelligence_v1/classes.rb', line 5094

def segment_label_annotations
  @segment_label_annotations
end

#segment_presence_label_annotations ⇒ Array<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

Returns:



5104
5105
5106
 
# File 'lib/google/apis/videointelligence_v1/classes.rb', line 5104

def segment_presence_label_annotations
  @segment_presence_label_annotations
end

#shot_annotations ⇒ Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1VideoSegment>

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

Returns:



5109
5110
5111
 
# File 'lib/google/apis/videointelligence_v1/classes.rb', line 5109

def shot_annotations
  @shot_annotations
end

#shot_label_annotations ⇒ Array<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

Returns:



5115
5116
5117
 
# File 'lib/google/apis/videointelligence_v1/classes.rb', line 5115

def shot_label_annotations
  @shot_label_annotations
end

#shot_presence_label_annotations ⇒ Array<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

Returns:



5124
5125
5126
 
# File 'lib/google/apis/videointelligence_v1/classes.rb', line 5124

def shot_presence_label_annotations
  @shot_presence_label_annotations
end

#speech_transcriptions ⇒ Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1SpeechTranscription>

Speech transcription. Corresponds to the JSON property speechTranscriptions

Returns:



5129
5130
5131
 
# File 'lib/google/apis/videointelligence_v1/classes.rb', line 5129

def speech_transcriptions
  @speech_transcriptions
end

#text_annotations ⇒ Array<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

Returns:



5135
5136
5137
 
# File 'lib/google/apis/videointelligence_v1/classes.rb', line 5135

def text_annotations
  @text_annotations
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



5142
5143
5144
5145
5146
5147
5148
5149
5150
5151
5152
5153
5154
5155
5156
5157
5158
5159
5160
 
# File 'lib/google/apis/videointelligence_v1/classes.rb', line 5142

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