Class: Google::Apis::AiplatformV1::GoogleCloudAiplatformV1SchemaPredictParamsVideoObjectTrackingPredictionParams

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 Object Tracking.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ GoogleCloudAiplatformV1SchemaPredictParamsVideoObjectTrackingPredictionParams

Returns a new instance of GoogleCloudAiplatformV1SchemaPredictParamsVideoObjectTrackingPredictionParams.



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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 29638

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) 


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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 29623

def confidence_threshold
  @confidence_threshold
end

#max_predictions ⇒ Fixnum

The model only returns up to that many top, by confidence score, predictions per frame of the video. If this number is very high, the Model may return fewer predictions per frame. Default value is 50. Corresponds to the JSON property maxPredictions

Returns:

  • (Fixnum) 


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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 29630

def max_predictions
  @max_predictions
end

#min_bounding_box_size ⇒ Float

Only bounding boxes with shortest edge at least that long as a relative value of video frame size are returned. Default value is 0.0. Corresponds to the JSON property minBoundingBoxSize

Returns:

  • (Float) 


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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 29636

def min_bounding_box_size
  @min_bounding_box_size
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 29643

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