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.



21198
21199
21200
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 21198

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) 


21158
21159
21160
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 21158

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) 


21165
21166
21167
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 21165

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) 


21175
21176
21177
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 21175

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) 


21183
21184
21185
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 21183

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) 


21195
21196
21197
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 21195

def shot_classification
  @shot_classification
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



21203
21204
21205
21206
21207
21208
21209
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 21203

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