Class VideoObjectTrackingEvaluationMetrics (2.8.3)

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VideoObjectTrackingEvaluationMetrics(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

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).

Attributes

NameDescription
evaluated_frame_count int
Output only. The number of video frames used to create this evaluation.
evaluated_bounding_box_count int
Output only. The total number of bounding boxes (i.e. summed over all frames) the ground truth used to create this evaluation had.
bounding_box_metrics_entries Sequence[google.cloud.automl_v1beta1.types.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.
bounding_box_mean_average_precision float
Output only. The single metric for bounding boxes evaluation: the mean_average_precision averaged over all bounding_box_metrics_entries.

Inheritance

builtins.object > proto.message.Message > VideoObjectTrackingEvaluationMetrics