Class: Google::Cloud::AutoML::V1beta1::VideoObjectTrackingEvaluationMetrics

Inherits:
Object
  • Object
show all
Defined in:
lib/google/cloud/automl/v1beta1/doc/google/cloud/automl/v1beta1/detection.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 Attribute Details

#bounding_box_mean_average_precisionFloat

Returns Output only. The single metric for bounding boxes evaluation: the mean_average_precision averaged over all bounding_box_metrics_entries.

Returns:

  • (Float)

    Output only. The single metric for bounding boxes evaluation: the mean_average_precision averaged over all bounding_box_metrics_entries.



130
# File 'lib/google/cloud/automl/v1beta1/doc/google/cloud/automl/v1beta1/detection.rb', line 130

class VideoObjectTrackingEvaluationMetrics; end

#bounding_box_metrics_entriesArray<Google::Cloud::AutoML::V1beta1::BoundingBoxMetricsEntry>

Returns Output only. 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.

Returns:

  • (Array<Google::Cloud::AutoML::V1beta1::BoundingBoxMetricsEntry>)

    Output only. 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.



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# File 'lib/google/cloud/automl/v1beta1/doc/google/cloud/automl/v1beta1/detection.rb', line 130

class VideoObjectTrackingEvaluationMetrics; end

#evaluated_bounding_box_countInteger

Returns Output only. The total number of bounding boxes (i.e. summed over all frames) the ground truth used to create this evaluation had.

Returns:

  • (Integer)

    Output only. The total number of bounding boxes (i.e. summed over all frames) the ground truth used to create this evaluation had.



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# File 'lib/google/cloud/automl/v1beta1/doc/google/cloud/automl/v1beta1/detection.rb', line 130

class VideoObjectTrackingEvaluationMetrics; end

#evaluated_frame_countInteger

Returns Output only. The number of video frames used to create this evaluation.

Returns:

  • (Integer)

    Output only. The number of video frames used to create this evaluation.



130
# File 'lib/google/cloud/automl/v1beta1/doc/google/cloud/automl/v1beta1/detection.rb', line 130

class VideoObjectTrackingEvaluationMetrics; end