Class: Google::Apis::AiplatformV1::GoogleCloudAiplatformV1SchemaPredictParamsVideoClassificationPredictionParams

Inherits:
Object
  • Object
show all
Includes:
Core::Hashable, Core::JsonObjectSupport
Defined in:
lib/google/apis/aiplatform_v1/classes.rb,
lib/google/apis/aiplatform_v1/representations.rb,
lib/google/apis/aiplatform_v1/representations.rb

Overview

Prediction model parameters for Video Classification.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ GoogleCloudAiplatformV1SchemaPredictParamsVideoClassificationPredictionParams

Returns a new instance of GoogleCloudAiplatformV1SchemaPredictParamsVideoClassificationPredictionParams.



27858
27859
27860
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 27858

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) 


27818
27819
27820
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 27818

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) 


27825
27826
27827
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 27825

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) 


27835
27836
27837
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 27835

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) 


27843
27844
27845
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 27843

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) 


27855
27856
27857
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 27855

def shot_classification
  @shot_classification
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



27863
27864
27865
27866
27867
27868
27869
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 27863

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