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.



21217
21218
21219
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 21217

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) 


21166
21167
21168
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 21166

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:



21173
21174
21175
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 21173

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) 


21179
21180
21181
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 21179

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) 


21184
21185
21186
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 21184

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) 


21190
21191
21192
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 21190

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) 


21196
21197
21198
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 21196

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) 


21202
21203
21204
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 21202

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) 


21208
21209
21210
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 21208

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:



21215
21216
21217
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 21215

def track_metrics
  @track_metrics
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



21222
21223
21224
21225
21226
21227
21228
21229
21230
21231
21232
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 21222

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