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.



26289
26290
26291
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 26289

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) 


26238
26239
26240
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 26238

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:



26245
26246
26247
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 26245

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) 


26251
26252
26253
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 26251

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) 


26256
26257
26258
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 26256

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) 


26262
26263
26264
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 26262

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) 


26268
26269
26270
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 26268

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) 


26274
26275
26276
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 26274

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) 


26280
26281
26282
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 26280

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:



26287
26288
26289
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 26287

def track_metrics
  @track_metrics
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



26294
26295
26296
26297
26298
26299
26300
26301
26302
26303
26304
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 26294

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