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.



17288
17289
17290
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 17288

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) 


17237
17238
17239
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 17237

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:



17244
17245
17246
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 17244

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) 


17250
17251
17252
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 17250

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) 


17255
17256
17257
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 17255

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) 


17261
17262
17263
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 17261

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) 


17267
17268
17269
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 17267

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) 


17273
17274
17275
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 17273

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) 


17279
17280
17281
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 17279

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:



17286
17287
17288
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 17286

def track_metrics
  @track_metrics
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



17293
17294
17295
17296
17297
17298
17299
17300
17301
17302
17303
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 17293

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