Class: Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SchemaPredictParamsVideoClassificationPredictionParams

Inherits:
Object
  • Object
show all
Includes:
Core::Hashable, Core::JsonObjectSupport
Defined in:
lib/google/apis/aiplatform_v1beta1/classes.rb,
lib/google/apis/aiplatform_v1beta1/representations.rb,
lib/google/apis/aiplatform_v1beta1/representations.rb

Overview

Prediction model parameters for Video Classification.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ GoogleCloudAiplatformV1beta1SchemaPredictParamsVideoClassificationPredictionParams

Returns a new instance of GoogleCloudAiplatformV1beta1SchemaPredictParamsVideoClassificationPredictionParams.



21000
21001
21002
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 21000

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

Instance Attribute Details

#confidence_threshold ⇒ Float

The Model only returns predictions with at least this confidence score. Default value is 0.0 Corresponds to the JSON property confidenceThreshold

Returns:

  • (Float) 


20960
20961
20962
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 20960

def confidence_threshold
  @confidence_threshold
end

#max_predictions ⇒ Fixnum

The Model only returns up to that many top, by confidence score, predictions per instance. If this number is very high, the Model may return fewer predictions. Default value is 10,000. Corresponds to the JSON property maxPredictions

Returns:

  • (Fixnum) 


20967
20968
20969
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 20967

def max_predictions
  @max_predictions
end

#one_sec_interval_classification ⇒ Boolean Also known as: one_sec_interval_classification?

Set to true to request classification for a video at one-second intervals. Vertex AI returns labels and their confidence scores for each second of the entire time segment of the video that user specified in the input WARNING: Model evaluation is not done for this classification type, the quality of it depends on the training data, but there are no metrics provided to describe that quality. Default value is false Corresponds to the JSON property oneSecIntervalClassification

Returns:

  • (Boolean) 


20977
20978
20979
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 20977

def one_sec_interval_classification
  @one_sec_interval_classification
end

#segment_classification ⇒ Boolean Also known as: segment_classification?

Set to true to request segment-level classification. Vertex AI returns labels and their confidence scores for the entire time segment of the video that user specified in the input instance. Default value is true Corresponds to the JSON property segmentClassification

Returns:

  • (Boolean) 


20985
20986
20987
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 20985

def segment_classification
  @segment_classification
end

#shot_classification ⇒ Boolean Also known as: shot_classification?

Set to true to request shot-level classification. Vertex AI determines the boundaries for each camera shot in the entire time segment of the video that user specified in the input instance. Vertex AI 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 the training data, but there are no metrics provided to describe that quality. Default value is false Corresponds to the JSON property shotClassification

Returns:

  • (Boolean) 


20997
20998
20999
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 20997

def shot_classification
  @shot_classification
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



21005
21006
21007
21008
21009
21010
21011
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 21005

def update!(**args)
  @confidence_threshold = args[:confidence_threshold] if args.key?(:confidence_threshold)
  @max_predictions = args[:max_predictions] if args.key?(:max_predictions)
  @one_sec_interval_classification = args[:one_sec_interval_classification] if args.key?(:one_sec_interval_classification)
  @segment_classification = args[:segment_classification] if args.key?(:segment_classification)
  @shot_classification = args[:shot_classification] if args.key?(:shot_classification)
end