Class VideoObjectTrackingEvaluationMetrics (2.16.4)

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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
Name	Description
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	MutableSequence[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.