Class: Google::Apis::AiplatformV1::GoogleCloudAiplatformV1SchemaModelevaluationMetricsVideoObjectTrackingMetrics

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

Model evaluation metrics for video object tracking problems. Evaluates prediction quality of both labeled bounding boxes and labeled tracks (i.e. series of bounding boxes sharing same label and instance ID).

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ GoogleCloudAiplatformV1SchemaModelevaluationMetricsVideoObjectTrackingMetrics

Returns a new instance of GoogleCloudAiplatformV1SchemaModelevaluationMetricsVideoObjectTrackingMetrics.



39973
39974
39975
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 39973

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

Instance Attribute Details

#bounding_box_mean_average_precision ⇒ Float

The single metric for bounding boxes evaluation: the meanAveragePrecision averaged over all boundingBoxMetrics. Corresponds to the JSON property boundingBoxMeanAveragePrecision

Returns:

  • (Float) 


39922
39923
39924
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 39922

def bounding_box_mean_average_precision
  @bounding_box_mean_average_precision
end

#bounding_box_metrics ⇒ Array<Google::Apis::AiplatformV1::GoogleCloudAiplatformV1SchemaModelevaluationMetricsBoundingBoxMetrics>

The bounding boxes match metrics for each intersection-over-union threshold 0. 05,0.10,...,0.95,0.96,0.97,0.98,0.99 and each label confidence threshold 0.05, 0.10,...,0.95,0.96,0.97,0.98,0.99 pair. Corresponds to the JSON property boundingBoxMetrics

Returns:



39929
39930
39931
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 39929

def bounding_box_metrics
  @bounding_box_metrics
end

#evaluated_bounding_box_count ⇒ Fixnum

UNIMPLEMENTED. The total number of bounding boxes (i.e. summed over all frames) the ground truth used to create this evaluation had. Corresponds to the JSON property evaluatedBoundingBoxCount

Returns:

  • (Fixnum) 


39935
39936
39937
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 39935

def evaluated_bounding_box_count
  @evaluated_bounding_box_count
end

#evaluated_frame_count ⇒ Fixnum

UNIMPLEMENTED. The number of video frames used to create this evaluation. Corresponds to the JSON property evaluatedFrameCount

Returns:

  • (Fixnum) 


39940
39941
39942
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 39940

def evaluated_frame_count
  @evaluated_frame_count
end

#evaluated_track_count ⇒ Fixnum

UNIMPLEMENTED. The total number of tracks (i.e. as seen across all frames) the ground truth used to create this evaluation had. Corresponds to the JSON property evaluatedTrackCount

Returns:

  • (Fixnum) 


39946
39947
39948
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 39946

def evaluated_track_count
  @evaluated_track_count
end

#track_mean_average_precision ⇒ Float

UNIMPLEMENTED. The single metric for tracks accuracy evaluation: the meanAveragePrecision averaged over all trackMetrics. Corresponds to the JSON property trackMeanAveragePrecision

Returns:

  • (Float) 


39952
39953
39954
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 39952

def track_mean_average_precision
  @track_mean_average_precision
end

#track_mean_bounding_box_iou ⇒ Float

UNIMPLEMENTED. The single metric for tracks bounding box iou evaluation: the meanBoundingBoxIou averaged over all trackMetrics. Corresponds to the JSON property trackMeanBoundingBoxIou

Returns:

  • (Float) 


39958
39959
39960
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 39958

def track_mean_bounding_box_iou
  @track_mean_bounding_box_iou
end

#track_mean_mismatch_rate ⇒ Float

UNIMPLEMENTED. The single metric for tracking consistency evaluation: the meanMismatchRate averaged over all trackMetrics. Corresponds to the JSON property trackMeanMismatchRate

Returns:

  • (Float) 


39964
39965
39966
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 39964

def track_mean_mismatch_rate
  @track_mean_mismatch_rate
end

#track_metrics ⇒ Array<Google::Apis::AiplatformV1::GoogleCloudAiplatformV1SchemaModelevaluationMetricsTrackMetrics>

UNIMPLEMENTED. The tracks match metrics for each intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 pair. Corresponds to the JSON property trackMetrics

Returns:



39971
39972
39973
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 39971

def track_metrics
  @track_metrics
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



39978
39979
39980
39981
39982
39983
39984
39985
39986
39987
39988
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 39978

def update!(**args)
  @bounding_box_mean_average_precision = args[:bounding_box_mean_average_precision] if args.key?(:bounding_box_mean_average_precision)
  @bounding_box_metrics = args[:bounding_box_metrics] if args.key?(:bounding_box_metrics)
  @evaluated_bounding_box_count = args[:evaluated_bounding_box_count] if args.key?(:evaluated_bounding_box_count)
  @evaluated_frame_count = args[:evaluated_frame_count] if args.key?(:evaluated_frame_count)
  @evaluated_track_count = args[:evaluated_track_count] if args.key?(:evaluated_track_count)
  @track_mean_average_precision = args[:track_mean_average_precision] if args.key?(:track_mean_average_precision)
  @track_mean_bounding_box_iou = args[:track_mean_bounding_box_iou] if args.key?(:track_mean_bounding_box_iou)
  @track_mean_mismatch_rate = args[:track_mean_mismatch_rate] if args.key?(:track_mean_mismatch_rate)
  @track_metrics = args[:track_metrics] if args.key?(:track_metrics)
end