Class: Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsVideoObjectTrackingMetrics

Inherits:
Object
  • Object
show all
Includes:
Core::Hashable, Core::JsonObjectSupport
Defined in:
lib/google/apis/aiplatform_v1beta1/classes.rb,
lib/google/apis/aiplatform_v1beta1/representations.rb,
lib/google/apis/aiplatform_v1beta1/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) ⇒ GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsVideoObjectTrackingMetrics

Returns a new instance of GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsVideoObjectTrackingMetrics.



49232
49233
49234
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 49232

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) 


49181
49182
49183
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 49181

def bounding_box_mean_average_precision
  @bounding_box_mean_average_precision
end

#bounding_box_metrics ⇒ Array<Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsBoundingBoxMetrics>

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:



49188
49189
49190
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 49188

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) 


49194
49195
49196
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 49194

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) 


49199
49200
49201
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 49199

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) 


49205
49206
49207
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 49205

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) 


49211
49212
49213
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 49211

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) 


49217
49218
49219
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 49217

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) 


49223
49224
49225
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 49223

def track_mean_mismatch_rate
  @track_mean_mismatch_rate
end

#track_metrics ⇒ Array<Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsTrackMetrics>

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:



49230
49231
49232
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 49230

def track_metrics
  @track_metrics
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



49237
49238
49239
49240
49241
49242
49243
49244
49245
49246
49247
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 49237

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