Class: Google::Cloud::AutoML::V1beta1::VideoClassificationAnnotation

Inherits:
Object
  • Object
show all
Extended by:
Protobuf::MessageExts::ClassMethods
Includes:
Protobuf::MessageExts
Defined in:
proto_docs/google/cloud/automl/v1beta1/classification.rb

Overview

Contains annotation details specific to video classification.

Instance Attribute Summary collapse

Instance Attribute Details

#classification_annotation ⇒ ::Google::Cloud::AutoML::V1beta1::ClassificationAnnotation

Returns Output only . The classification details of this annotation.

Returns:



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# File 'proto_docs/google/cloud/automl/v1beta1/classification.rb', line 70

class VideoClassificationAnnotation
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods
end

#time_segment ⇒ ::Google::Cloud::AutoML::V1beta1::TimeSegment

Returns Output only . The time segment of the video to which the annotation applies.

Returns:



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# File 'proto_docs/google/cloud/automl/v1beta1/classification.rb', line 70

class VideoClassificationAnnotation
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods
end

#type ⇒ ::String

Returns Output only. Expresses the type of video classification. Possible values:

  • segment - Classification done on a specified by user time segment of a video. AnnotationSpec is answered to be present in that time segment, if it is present in any part of it. The video ML model evaluations are done only for this type of classification.

  • shot- Shot-level classification. AutoML Video Intelligence determines the boundaries for each camera shot in the entire segment of the video that user specified in the request configuration. AutoML Video Intelligence then returns labels and their confidence scores for each detected shot, along with the start and end time of the shot. WARNING: Model evaluation is not done for this classification type, the quality of it depends on training data, but there are no metrics provided to describe that quality.

  • 1s_interval - AutoML Video Intelligence returns labels and their confidence scores for each second of the entire segment of the video that user specified in the request configuration. WARNING: Model evaluation is not done for this classification type, the quality of it depends on training data, but there are no metrics provided to describe that quality.

Returns:

  • (::String) —

    Output only. Expresses the type of video classification. Possible values:

    • segment - Classification done on a specified by user time segment of a video. AnnotationSpec is answered to be present in that time segment, if it is present in any part of it. The video ML model evaluations are done only for this type of classification.

    • shot- Shot-level classification. AutoML Video Intelligence determines the boundaries for each camera shot in the entire segment of the video that user specified in the request configuration. AutoML Video Intelligence then returns labels and their confidence scores for each detected shot, along with the start and end time of the shot. WARNING: Model evaluation is not done for this classification type, the quality of it depends on training data, but there are no metrics provided to describe that quality.

    • 1s_interval - AutoML Video Intelligence returns labels and their confidence scores for each second of the entire segment of the video that user specified in the request configuration. WARNING: Model evaluation is not done for this classification type, the quality of it depends on training data, but there are no metrics provided to describe that quality.



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# File 'proto_docs/google/cloud/automl/v1beta1/classification.rb', line 70

class VideoClassificationAnnotation
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods
end